Journals

Artificial Intelligence & Information Analysis

2024

  1. Chuang-Wei Liu, Yikang Zhang, Qijun Chen, I.Pitas and R. Fan, "These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion", IEEE Transactions on Image Processing, 2024.
  2. C. Korgialas, G. Tzolopoulos and C.Kotropoulos, "On Explainable Closed-Set Source Device Identification Using log-Mel Spectrograms from Videos’ Audio: A Grad-CAM Approach", IEEE Access, vol. 12, pp. 121822-121836, 2024.
  3. C. Korgialas, C.Kotropoulos and K.Plataniotis, "Leveraging Electric Network Frequency for Audio Authentication", IEEE Access, vol. 12, pp. 9308-9320, 2024.

2023

  1. C. Symeonidis, I. Mademlis, I.Pitas and N.Nikolaidis, "Neural attention-driven Non Maximum Suppression for person detection", IEEE Transactions on Image Processing, vol. 32, pp. 2454-2467, 2023 (Code).
  2. I. Mademlis, G. Voulgaris and I.Pitas, "Fast multidimensional scaling on big geospatial data using neural networks", Springer Earth Science Informatics, 2023.
  3. I. Mademlis, C. Symeonidis, A.Tefas and I.Pitas, "Vision-based drone control for autonomous UAV cinematography", Springer Multimedia Tools and Applications, 2023.
  4. S. Bakas, Y.Panagakis, D. Adamos, N.Laskaris and S.Zafeiriou, "BrainWave-Scattering Net: a lightweight network for EEG-based motor imagery recognition", Journal of Neural Engineering, 20 056014, 2023.
  5. K. Georgiadis, F. Kalaganis, K.Riskos, E.Matta, V. Oikonomou, I.Yfantidou, D.Chantziaras, K.Pantouvakis, S.Nikolopoulos, N.Laskaris and I. Kompatsiaris, "NeuMa-the absolute Neuromarketing dataset en route to an holistic understanding of consumerbehaviour", Scientific Data, vol 10, article number: 508, 2023.
  6. K. Barmpas, Y.Panagakis, S. Bakas, D. Adamos, N.Laskaris and S.Zafeiriou, "Improving Generalization of CNN-based Motor-Imagery EEG Decoders via Dynamic Convolutions", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.31, pp. 1997-2005, 2023.
  7. E. Kakaletsis and N.Nikolaidis, "Using synthesized facial views for active face recognition", Machine Vision and Applications, vol 34, no 4, 2023.
  8. C. Korgialas, E. Pantraki, A. Bolari, M. Sotiroudi and C.Kotropoulos, "Face aging by explainable conditional adversarial autoencoders", Journal of Imaging, 9(5):96, 2023.
  9. G. Bouchagiar, V. Mygdalis and I.Pitas, "PRIVACY-SHIELDING AUTONOMOUS SYSTEMS FOR NATURAL DISASTER MANAGEMENT (NDM): Targeted Regulation of the use of Autonomous Systems for Natural Disaster Management Goals before the Materialization of the Privacy Harm", European Public Law 29, no. 4 (2023): 355–370, 2023 (© 2023 Kluwer Law International BV, The Netherlands).

2022

  1. V. Mygdalis and I.Pitas, "Hyperspherical class prototypes for adversarial robustness", Pattern Recognition, vol 125, pp 108527, 2022.
  2. I. Mademlis, , J. Capitan, M. Montagnuolo, A. Messina, F. Negro, C. Le Barz, T. Goncalves, R. Cunha, B. Guerreiro, F. Zhang, S. Boyle, G. Guerout, A.Tefas, N.Nikolaidis, D. Bull and I.Pitas, "A multiple-UAV architecture for autonomous media production", Springer Multimedia Tools and Applications, pp. 1-30, 2022.
  3. D. Karamouzas, I. Mademlis and I.Pitas, "Public opinion monitoring through collective semantic analysis of tweets", Springer Social Network Analysis and Mining, 2022.
  4. C. Papaioannidis, I. Mademlis and I.Pitas, "Fast CNN-based Single-Person 2D Human Pose Estimaton for Autonomous Systems", IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 3, pp. 1262-1275, 2022.
  5. E. Pantraki, I. Tsingalis and C.Kotropoulos, "Cross-lingual transfer learning: A PARAFAC2 approach", Pattern Recognition Letters, pp. 167-173, 2022.
  6. M. Ntemi, I. Sarridis and C.Kotropoulos, "An Autoregressive Graph Convolutional Long-Short Term Memory Hybrid Neural Network for Accurate Prediction of COVID-19 Cases", IEEE Trans. Computational Social Systems, Early access, 2022.
  7. M. Ntemi and C.Kotropoulos, "Online hotel rating prediction through a dynamic weighted ordered probit model", Digital Signal Processing, 2022.
  8. K. Georgiadis, F. Kalaganis, V. Oikonomou, S.Nikolopoulos, N.Laskaris and I. Kompatsiaris, "RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing", Brain Informatics; 2022, vol.9 (22), 2022.
  9. F. Kalaganis, N.Laskaris, V. Oikonomou, S.Nikolopoulos and I. Kompatsiaris, "Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization", Journal of Neural Engineering, 19 066030, 2022.

2021

  1. R. Fan, H. Wang, B. Xue, H. Huang, Y. Wang, M.Liu and I.Pitas, "Three-filters-to-normal: An accurate and ultrafast surface normal estimator", IEEE Robotics and Automation Letters, 2021.
  2. R. Fan, H. Wang, Y. Wang, M.Liu and I.Pitas, "Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms", Transactions of Image Processing (TIP), 2021.
  3. E. Kakaletsis, I. Mademlis, N.Nikolaidis and I.Pitas, "Multiview Vision-based Human Crowd Localization for UAV Fleet Flight Safety", Springer Signal Processing: Image Communication, vol. 99, pp. 116484, 30 May, 2021.
  4. E. Kakaletsis, C. Symeonidis, M. Tzelepi, I. Mademlis, A.Tefas, N.Nikolaidis and I.Pitas, "Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline", ACM Computing Surveys, vol. 54, no. 9, pp. 1-37, 2021.
  5. G. Karantaidis and C.Kotropoulos, "An automated approach for electric network frequency estimation in static and non-static digital video recordings", Journal of Imaging, 2021.
  6. G. Karantaidis, I. Sarridis and C.Kotropoulos, "Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation", Signal Processing: Image Communication, 2021.
  7. E. Pantraki and C.Kotropoulos, "Face aging using global and pyramid generative adversarial networks", Machine Vision and Applications , 2021.
  8. G. Karantaidis and C.Kotropoulos, "Blackman-Tukey spectral estimation and ENF matching from power mains and speech recordings", IET Signal Processing, 2021.
  9. M. Ntemi and C.Kotropoulos, "A jump-diffusion particle filter for price prediction", Signal Processing, 2021.
  10. I. Karakostas, V. Mygdalis, A.Tefas and I.Pitas, "Occlusion detection and drift-avoidance framework for 2D visual object tracking.", Signal Processing: Image Communication, 116011, 2021.

2020

  1. A. Tsantekidis and A.Tefas, "Transferring Trading Strategy Knowledge to Deep Learning Models", Knowledge and Information Systems, 2020.
  2. P. Nousi, D. Triantafyllidou, A.Tefas and I.Pitas, "Re-identification framework for long term visual object tracking based on object detection and classification", Signal Processing: Image Communication, 2020.
  3. P. Nousi, A.Tefas and I.Pitas, "Dense convolutional feature histograms for robust visual object tracking", Image and Vision Computing, 2020.
  4. N. Passalis, A.Tefas, J. Kanniainen, and A.Iosifidis, "Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data", Pattern Recognition Letters, pp 183-189, 2020.
  5. F. Laakom, N. Passalis, J. Raitoharju, J. Nikkanen, A.Tefas, A.Iosifidis and , "Bag of Color Features for Color Constancy", IEEE Transactions on Image Process, pp 7722-7734, 2020.
  6. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, and A.Iosifidis, "Using Deep Learning for price prediction by exploiting stationary limit order book features", Applied Soft Computing, 2020.
  7. N. Passalis, M. Tzelepi and A.Tefas, "Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning", IEEE Transactions on Neural Networks and Learning Systems, pp 1-10, 2020.
  8. M. Tzelepi and A.Tefas, "Improving the performance of lightweight CNNs for binary classification using Quadratic Mutual Information regularization", Elsevier, 2020.
  9. N. Passalis, G. Mourgias-Alexandris, N. Pleros and A.Tefas, "Initializing Photonic Feed-forward Neural Networks using Auxiliary Tasks", Neural Networks, pp 103-108, 2020.
  10. A. Tsantekidis, N. Passalis, A. - S. Toufa, K. Saitas-Zarkias, S. Charistanidis and A.Tefas, "Price Trailing for Financial Trading using Deep Reinforcement Learning", Transactions on Neural Networks and Learning Systems, pp 1-10, 2020.
  11. M. Krestenitis, N. Passalis, A.Iosifidis, and A.Tefas, "Recurrent Bag-of-Features for Visual Information Analysis", Pattern Recognition, 2020.
  12. N. Passalis, J. Raitoharju, A.Tefas and , "Efficient Adaptive Inference for Deep Convolutional Neural Networks using Hierarchical Early Exits", Pattern Recognition, 2020.
  13. N. Passalis, A.Iosifidis, and A.Tefas, "Hypersphere-based Weight Imprinting for Few-shot Learning on Embedded Devices", Transactions on Neural Networks and Learning Systems, pp 1-6, 2020.
  14. A. Totovic, G. Dabos, N. Passalis, A.Tefas and N. Pleros, "Femtojoule per MAC Neuromorphic Photonics: An Energy and Technology Roadmap", IEEE Journal of Selected Topics in Quantum Electronics, pp 1-15, 2020.
  15. G. Mourgias-Alexandris, G. Dabos, N. Passalis, A. Totovic, A.Tefas and N. Pleros, "All-optical WDM Recurrent Neural Networks with Gating", IEEE Journal of Selected Topics in Quantum Electronics, 2020.
  16. C. Karapiperis, A. Chasapi, L. Angelis, Z. Scouras, P. Mastroberardino, S. Tapio, M. Atkinson and C. Ouzounis, "The Coming of Age for Big Data in Systems Radiobiology, an Engineering Perspective", Big Data, 2020.
  17. K. Kyritsis, C. Ouzounis, L. Angelis and I. Vizirianakis, "Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins", NAR Genomics and Bioinformatics, December 2020, 2020.
  18. I. Tsingalis, C.Kotropoulos, D. Drosou and D.Tzovaras, "Non-negative sparse PCA: An intelligible exact approach", IEEE Trans. Emerging Topics in Computational Intelligence, 2020.
  19. F. Mandanas and C.Kotropoulos, "Subspace learning and feature selection via orthogonal mapping", IEEE Trans. Signal Processing, 2020.
  20. M. Ntemi and C.Kotropoulos, "A dynamic dyadic particle filter for price prediction", Signal Processing, February, 2020.
  21. R. Fan, U. Ozgunalp, Y. Wang, M.Liu and I.Pitas, "Rethinking Road Surface 3-D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation", IEEE Transactions on Cybernetics, 2020.
  22. I. Karakostas, I. Mademlis, N.Nikolaidis and I.Pitas, "Shot Type Constraints in UAV Cinematography for Autonomous Target Tracking", Elsevier Information Sciences, 2020.
  23. P. Nousi, S. Papadopoulos, A.Tefas and I.Pitas, "Deep autoencoders for attribute preserving face de-identification", Elsevier Signal Processing: Image Communication, November, 2020.
  24. V. Mygdalis, A.Tefas and I.Pitas, "K-Anonymity-inspired Adversarial Attack and Multiple One-class Classification Defense", Neural Networks, pp. 296-307, 2020.
  25. C. Papaioannidis, V. Mygdalis and I.Pitas, "Domain-Translated 3D Object Pose Estimation", IEEE Transactions on Image Processing, pp. 9279-9291, 2020.
  26. F. Kalaganis and N.Laskaris, "A Riemannian geometry approach to reduced and discriminative covariance estimation in Brain Computer Interfaces", IEEE Transactions on Biomedical Engineering, 245-255, 2020.
  27. F. Kalaganis and N.Laskaris, "A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain–Computer Interfaces", IEEE Access, 162218-162229, 2020.
  28. F. Kalaganis and N.Laskaris, "A complex-valued functional brain connectivity descriptor amenable to Riemannian geometry", Journal of Neural Engineering, 2020.
  29. G. Mourgias-Alexandris, N. Passalis, G. Dabos, A. Totovic, A.Tefas and N. Pleros, "A Photonic Recurrent Neuron for Time-Series Classification", Journal of Lightwave Technology, pp: 1-1, 2020.

2019

  1. N. Floropoulos and A.Tefas, "Complete vector quantization of feedforward neural networks", Neurocomputing, pp. 55-63, 2019.
  2. N. Passalis, G. Mourgias-Alexandris, A. Tsakyridis, N. Pleros and A.Tefas, "Training Deep Photonic Convolutional Neural Networks with Sinusoidal Activations", IEEE Transactions on Emerging Topics in Computational Intelligence, pp 1-10, 2019.
  3. N. Passalis and A.Tefas, "Discriminative clustering using regularized subspace learning", Pattern Recognition, 2019.
  4. A. Papadimitriou, N. Passalis and A.Tefas, "Visual representation decoding from human brain activity using machine learning: A baseline study", Pattern Recognition Letters, pp. 28-44, 2019.
  5. G. Mourgias-Alexandris, A. Totovic, A. Tsakyridis, N. Passalis, A.Tefas and K. Vyrsokinos, "Neuromorphic Photonics with Coherent Linear Neuronsusing dual-IQ modulation cells", Journal of Lightware Technology, pp. 811-819, 2019.
  6. N. Passalis, A.Iosifidis, and A.Tefas, "Variance-preserving deep metric learning for content-based image retrieval", Pattern Recognition Letters, pp. 8-14, 2019.
  7. N. Passalis, A.Tefas, J. Kanniainen, and A.Iosifidis, "Deep Adaptive Input Normalization for Time Series Forecasting", IEEE Transactions on Neural Networks and Learning Systems, pp. 1-6, 2019.
  8. V. Mygdalis, A.Tefas and I.Pitas, "Exploiting Multiplex Data Relationships in Support Vector Machines", Pattern Recognition, pp. 70-77, 2019.
  9. I. Mademlis, N.Nikolaidis, A.Tefas, I.Pitas, T. Wagner and A. Messina, "Autonomous Unmanned Aerial Vehicles Filming in Dynamic Unstructured Outdoor Environments", IEEE Signal Processing Magazine, pp. 147-153, 2019.
  10. I. Mademlis, V. Mygdalis, N.Nikolaidis, M. Montagnuolo, F. Negro, A. Messina and I.Pitas, "High-Level Multiple-UAV Cinematography Tools for Covering Outdoor Events", IEEE Transactions on Broadcasting, 2019.
  11. N. Passalis and A.Tefas, "Deep Reinforcement Learning for Controlling Frontal Person Close-up Shooting", Neurocomputing, pp. 37-47, 2019.
  12. M. Tzelepi and A.Tefas, "Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety", IEEE Transactions on Emerging Topics in Computational Intelligence, 2019.
  13. P. Nousi, A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, and A.Iosifidis, "Machine Learning for Forecasting Mid Price Movement Using Limit Order Book Data", IEEE Access, 2019.
  14. G. Mourgias-Alexandris, A. Tsakyridis, N. Passalis, A.Tefas, K. Vyrsokinos and N. Pleros, "A Sigmoid Optical Neuron for Photonic Neural Network Applications", Optics Express, 2019.
  15. C. Regazzoni and I.Pitas, "Perspectives in Autonomous Systems Research", Signal Processing Magazine, pp. 147-148, September, 2019.
  16. R. Fan, U. Ozgunalp, B. Hosking, M.Liu and I.Pitas, "Pothole Detection Based on Disparity Transformation and Road Surface Modeling", IEEE Transactions on Image Processing, 2019 (accepted for publication).
  17. C. Papaioannidis and I.Pitas, "3D Object Pose Estimation using Multi-Objective Quaternion Learning", IEEE Transactions on Circuits and Systems for Video Technology, 2019.
  18. I. Mademlis, N.Nikolaidis, A.Tefas, I.Pitas, T. Wagner and A. Messina, "Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy", ACM Computing Surveys, pp. 105:1-105:33, 2019.
  19. N. Passalis and A.Tefas, "Continuous drone control using deep reinforcement learning for frontal view person shooting", Springer Neural Computing and Applications, July, 2019.
  20. M. Tzelepi and A.Tefas, "Class-Specific Discriminant Regularization in realtime deep CNN models for binary classification problems", Springer Neural Processing Letters, December, 2019.
  21. I.Kapsouras and N.Nikolaidis, "Action recognition by fusing depth video and skeletal data information", Multimedia Tools and Applications, pp 1971-1998, 2019.
  22. K. Georgiadis and N.Laskaris, "Connectivity steered graph Fourier transform for motor imagery BCI decoding", Journal of neural engineering., 2019.

2018

  1. D. Triantafyllidou, P. Nousi and A.Tefas, "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", Big Data Research, pp. 65-76, 2018.
  2. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Semi-Supervised Subclass Support Vector Data Description for Image and Video Classification", Neurocomputing, pp. 51-61, 2018 (Code).
  3. I. Mademlis, A.Tefas and I.Pitas, "A Salient Dictionary Learning Framework for Activity Video Summarization via Key-frame Extraction", Information Sciences, pp. 319-331, 2018.
  4. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "Big Data Clustering with Kernel k-Means: Resources, Time and Performance", International Journal on Artificial Intelligence Tools, World Scientific Publishing Company, 2018.
  5. F. Mandanas and C.Kotropoulos, "M-estimators for Robust Multidimensional Scaling Employing l-2,1 norm Regularization", Pattern Recognition, vol. 73, pp. 235-246, January, 2018.
  6. M. Tzelepi and A.Tefas, "Deep Convolutional Image Retrieval: A General Framework", Signal Processing: Image Communication, Elsevier, vol. 63, pp. 30-43, 2018.
  7. P. Nousi and A.Tefas, "Self-Supervised Autoencoders for Clustering and Classification", Evolving Systems Journal, pp. 1-14, 2018.
  8. V. Lioutas, N. Passalis and A.Tefas, "Explicit Ensemble Attention Learning for Improving Visual Question Answering", Pattern Recognition Letters, 2018.
  9. N. Passalis and A.Tefas, "Learning Bag-of-Embedded-Words Representations for Textual Information Retrieval", Pattern Recognition, pp. 254-267, 2018.
  10. N. Passalis and A.Tefas, "PySEF: A Python Library for Similarity-based Dimensionality Reduction", Knowledge-Based Systems, 2018.
  11. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), pp. 284-294, 2018.
  12. E. Kakaletsis, O.Zoidi, I. Tsingalis, A.Tefas, N.Nikolaidis and I.Pitas, "Fast Constrained Person Identity Label Propagation in Stereo Videos Using a Pruned Similarity Matrix", Signal Processing: Image Communication, Elsevier, 2018.
  13. M. Tzelepi and A.Tefas, "Deep Convolutional Learning for Content Based Image Retrieval", Neurocomputing, pp. 2467-2478, 2018.
  14. N. Kondylidis, M. Tzelepi and A.Tefas, "Exploiting tf-idf in Deep Convolutional Neural Networks for Content Based Image Retrieval", Multimedia Tools and Applications, pp. 1-20, 2018.
  15. N. Passalis and A.Tefas, "Unsupervised Knowledge Transfer Using Similarity Embeddings", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), pp. 946-950, 2018.
  16. N. Passalis and A.Tefas, "Long Term Temporal Averaging for Stochastic Optimization of Deep Neural Networks", Neural Computing and Applications, 2018 (accepted).
  17. E. Daskalakis, M. Tzelepi and A.Tefas, "Learning Deep Spatiotemporal Features for Video Captioning", Pattern Recognition Letters, 2018.
  18. N. Passalis and A.Tefas, "Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling", IEEE Transactions on Neural Networks and Learning Systems, 2018.
  19. N. Passalis, A.Tefas, J. Kanniainen, and A.Iosifidis, "Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data", IEEE Transactions on Emerging Topics in Computational Intelligence, 2018.
  20. D. Spathis, N. Passalis and A.Tefas, "Interactive Dimensionality Reduction Using Similarity Projections", Knowledge-Based Systems, 2018.
  21. G.Mikrogeorgis, E. Eirinaki, V. Kapralos, A. Koutroulis, K.Lyroudia and I.Pitas, "Diagnosis of vertical root fractures in endodontically treated teeth utilising Digital Subtraction Radiography: a case series report", Australian Endodontic Journal, 286-91, 2018.
  22. A. Christodoulou, G.Mikrogeorgis, T. Vouzara, K. Papachristou, Ch. Angelopoulos, N.Nikolaidis, I.Pitas and K.Lyroudia, "A new methodology for the measurement of the root canal curvature and its 3D modification after instrumentation.", Acta Odontologica Scandinavica, 488-92, 2018.

2017

  1. A.Iosifidis, V. Mygdalis, A.Tefas and I.Pitas, "One-Class Classification based on Extreme Learning and Geometric Class Information", Springer Neural Processing Letters, vol. 45, pp. 577–592, 2017 (Code).
  2. P. Chriskos, O.Zoidi, A.Tefas and I.Pitas, "De-Identifying Facial Images Using Singular Value Decomposition and Projections", Multimedia Tools and Applications, pp. 3435-3468, 2017.
  3. N. Passalis and A.Tefas, "Dimensionality Reduction using Similarity-induced Embeddings", IEEE Transactions on Neural Networks and Learning Systems, 2017.
  4. N. Passalis and A.Tefas, "Learning Neural Bag-of-Features for Large-Scale Image Retrieval", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017.
  5. E. Pantraki, C.Kotropoulos and A. Lanitis, "Age Interval and Gender Prediction Using PARAFAC2 and SVMs Based on Visual and Aural Features", IET Biometrics, vol. 6, no. 4, pp. 290- 298, 2017.
  6. F. Mandanas and C.Kotropoulos, "Robust Multidimensional Scaling Using a Maximum Correntropy Criterion", IEEE Trans. Signal Processing, vol. 65, no. 4, pp. 919-932, April, 2017.
  7. P. Nousi and A.Tefas, "Deep Learning Algorithms for Discriminant Autoencoding", Neurocomputing, Elsevier, vol. 266, pp. 325-335, 2017.
  8. V. Gogousis and A.Tefas, "Caricature Generation Utilizing the Notion of Anti-Face", Multimedia Tools and Applications, Springer (accepted), 2017.

2016

  1. I. Mademlis, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Exploiting stereoscopic disparity for augmenting human activity recognition performance", Multimedia Tools and Applications, pp. 11641-11660, 2016.
  2. I.Kapsouras, A.Tefas, N.Nikolaidis, G. Peeters, L. Benaroya and I.Pitas, "Multimodal speaker clustering in full length movies", Multimedia Tools and Applications, pp. 1-20, 2016.
  3. J.Blat, A.Evans, H.Kim, E.Imre, L.Polok, V.Ila, N.Nikolaidis, P.Zemcik, A.Tefas, P.Smrz, A.Hilton and I.Pitas, "Big Data Analysis for Media Production", Proceedings of the IEEE, 2016.
  4. S.Delis, I. Mademlis, N.Nikolaidis and I.Pitas, "Automatic Detection of 3D Quality Defects in Stereoscopic Videos Using Binocular Disparity", IEEE Transactions on Circuits and Systems for Video Technology, pp. 977 - 991, 2016.
  5. F. Patrona, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Visual Voice Activity Detection in the Wild", IEEE Transactions on Multimedia, pp. 967 - 977, 2016.
  6. F. Patrona, I. Mademlis, F. Kalaganis, I.Pitas and K.Lyroudia, "Stereoscopic Medical Data Video Quality Issues", Journal of Medical Imaging, pp. 025501 - 025501, 2016.
  7. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Graph Embedded One-Class Classifiers for media data classification", Pattern Recognition, pp. 585-595, 2016 (Code).
  8. I. Mademlis, A.Tefas, N.Nikolaidis and I.Pitas, "Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics", IEEE Transactions on Image Processing, pp. 5828-5840, 2016.
  9. N. Passalis and A.Tefas, "Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval", IEEE Transactions on Knowledge and Data Engineering, pp. 1664-1677, 2016.
  10. N. Passalis and A.Tefas, "Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation", IEEE Transactions on Cybernetics, 2016.
  11. N. Passalis and A.Tefas, "Neural Bag-of-Features Learning", Pattern Recognition, 2016.
  12. O.Zoidi, A.Tefas, N.Nikolaidis and I.Pitas, "Positive and negative label propagation", IEEE Transactions on Circuits and Systems for Video Technology, 2016.
  13. A.Iosifidis, A.Tefas and I.Pitas, "Approximate kernel extreme learning machine for large scale data classification", Neurocomputing, 2016.
  14. A.Iosifidis, A.Tefas and I.Pitas, "Graph Embedded Extreme Learning Machine", IEEE Transactions on Cybernetics, pp. 311-324, 2016.

2015

  1. D.Bouzas, N.Arvanitopoulos and A.Tefas, "Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction", IEEE Transactions on Neural Networks and Learning Systems, pp. 951 - 963, 2015.
  2. A.Iosifidis, A.Tefas and I.Pitas, "DropELM: Fast Neural Network Regularization with Dropout and DropConnect", Neurocomputing, pp. 57-66, 2015 (Code).
  3. A.Iosifidis, A.Tefas and I.Pitas, "Sparse Extreme Learning Machine classifier exploiting Intrinsic Graphs", Pattern Recognition Letters, pp. 192-196, 2015.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Human Action Recognition based on Multi-view Regularized Extreme Learning Machine", International Journal on Artificial Intelligence Tools, 2015.
  5. T.Theodoridis, K. Papachristou, N.Nikolaidis and I.Pitas, "Object motion analysis description in stereo video content", Computer Vision and Image Understanding, 2015 (accepted).
  6. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "A Distributed Framework for Trimmed Kernel k-means Clustering", Pattern Recognition, pp. 2685–2698, 2015.
  7. N.Vretos, A.Tefas and I.Pitas, "A Novel Dimensionality Reduction Technique based on Kernel Optimization Through Graph Embedding", Signal, Image and Video Processing, 2015.
  8. A.Maronidis, A.Tefas and I.Pitas, "Subclass Graph Embedding and a Marginal Fisher Analysis paradigm", Pattern Recognition, pp. 4024-4035, 2015.
  9. C.Chrysouli and A.Tefas, "Spectral clustering and semi-supervised learning using evolving similarity graphs", Applied Soft Computing, pp. 625-637, 2015.
  10. K. Pliakos and C.Kotropoulos, "Building an image annotation and tourism recommender system", International Journal of Artificial Intelligence Tools, DOI: 10.1142/S0218213015400217, 2015.
  11. A. Digka, K.Lyroudia, L. Kubinova, G. Karayannopoulou, I.Marras and I.Pitas, "Computerized Reconstruction of Pulpal Blood Vessels Examined under Confocal Microscope", Balkan Journal of Dental Medicine, pp. 43–49, 2015.
  12. I.Kapsouras and N.Nikolaidis, "Person identity recognition on motion capture data using multiple actions", Machine Vision and Applications, pp. 905-918, 2015.
  13. A.Iosifidis, A.Tefas and I.Pitas, "Distance-based Human Action Recognition using optimized class representations", Neurocomputing, pp. 47-55, 2015 (Code).
  14. A.Iosifidis, E.Marami, A.Tefas, I.Pitas and K.Lyroudia, "The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living", Journal of Information Hiding and Multimedia Signal Processing, pp. 254-273, 2015.
  15. O.Zoidi, E. Fotiadou, N.Nikolaidis and I.Pitas, "Graph-based label propagation in digital media: A Review", ACM Computing Surveys, 2015.
  16. G.Orphanidis, A.Tefas, N.Nikolaidis and I.Pitas, "Facial image clustering in stereoscopic videos using double spectral analysis", Signal Processing: Image Communication, pp. 86-105, 2015.
  17. A.Iosifidis, A.Tefas and I.Pitas, "Class-specific Reference Discriminant Analysis with application in Human Behaviour Analysis", IEEE Transactions on Human Machine Systems, pp. 315-326, 2015 (Code).
  18. A.Iosifidis, A.Tefas and I.Pitas, "On the Kernel Extreme Learning Machine Classifier", Pattern Recognition Letters, pp. 11-17, 2015.

2014

  1. S.Nikitidis, A.Tefas and I.Pitas, "Maximum Margin Projection Subspace Learning for Visual Data Analysis", IEEE Transactions on Image Processing, pp. 4413 - 4425, 2014.
  2. H. Du, Q. Hu, D. Qiao and I.Pitas, "Robust face recognition via low-rak sparse representation-based classification", International Journal of Automation and Computing, 2014.
  3. E. Fotiadou and N.Nikolaidis, "Activity-based methods for person recognition in motion capture sequences", Pattern Recognition Letters, pp. 48-54, 2014.
  4. I.Kapsouras and N.Nikolaidis, "Action recognition on motion capture data using a dynemes and forward differences representation", Journal of Visual Communication and Image Representation, pp. 1432-1445, 2014.
  5. Y.Panagakis and C.Kotropoulos, "Elastic net subspace clustering applied to pop/rock music structure analysis", Pattern Recognition Letters, pp. 46-53, 2014.
  6. A.Iosifidis, A.Tefas and I.Pitas, "Regularized Extreme Learning Machine for Multi-view Semi-supervised Action Recognition", Neurocomputing, pp. 250-262, 2014.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Discriminant Bag of Words based Representation for Human Action Recognition", Pattern Recognition Letters, pp. 185-192, 2014 (Code).
  8. A.Iosifidis, A.Tefas and I.Pitas, "Kernel Reference Discriminant Analysis", Pattern Recognition Letters, pp. 85-91, 2014 (Code).
  9. O.Zoidi, A.Tefas, N.Nikolaidis and I.Pitas, "Person identity label propagation in stereo videos", IEEE Transactions on Multimedia, pp. 1358-1368, 2014.
  10. O.Zoidi, N.Nikolaidis, A.Tefas and I.Pitas, "Stereo Object Tracking with Fusion of Texture, Color and Disparity Information", Signal Processing: Image Communication, pp. 573-589, 2014.
  11. K. Papachristou, A.Tefas and I.Pitas, "Symmetric Subspace Learning for Image Analysis", IEEE Transactions on Image Processing, pp. 5683-5697, 2014.
  12. C.Kotropoulos, "Source phone identification using sketches of features", IET Biometrics, pp. 75-83, June, 2014.
  13. Y.Panagakis, C.Kotropoulos and G.R.Arce, "Music genre classification via joint sparse low-rank representation of audio features", ACM/IEEE Trans. Audio, Speech, and Language Processing, pp. 1905-1915, December, 2014.
  14. N.Bassiou and C.Kotropoulos, "On-line PLSA: Batch updating techniques including out of vocabulary words", IEEE Trans. Neural Networks and Learning Systems, pp. 1953-1966, November, 2014.
  15. I.Marras, N.Nikolaidis and I.Pitas, "3D geometric split-merge segmentation of brain MRI datasets", Computers In Biology and Medicine, pp. 119-132, 2014.
  16. S.Nikitidis, A.Tefas and I.Pitas, "Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning", IEEE Transactions on Cybernetics, pp. 2806 - 2819, 2014.

2013

  1. O.Zoidi, A.Tefas and I.Pitas, "Visual Object Tracking based on Local Steering Kernels and Color Histograms", in IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 5, pp. 870-882, may, 2013.
  2. O.Zoidi, A.Tefas and I.Pitas, "Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification", in IEEE Transactions on Neural Networks and Learning Systems, Vol 24, Issue 3,pp 422 - 434, March, 2013.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Multidimensional Sequence Classification based on Fuzzy Distances and Discriminant Analysis", IEEE Transactions on Knowledge and Data Engineering, vol. 93, no. 6, pp. 1445-1457, November, 2013.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Dynamic action recognition based on Dynemes and Extreme Learning Machine", Pattern Recognition Letters, vol. 34, pp. 1890-1898, 2013.
  5. A.Iosifidis, A.Tefas and I.Pitas, "Learning sparse representations for view-independent human action recognition based on fuzzy distances", Neurocomputing, vol. 121C, pp. 334-353, 2013 (Code).
  6. A.Iosifidis, A.Tefas and I.Pitas, "On the optimal class representation in Linear Discriminant Analysis", IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 9, pp. 1-7, 2013.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view Action Recognition Based on Action Volumes, Fuzzy Distances and Cluster Discriminant Analysis", Signal Processing, vol. 93, pp. 1445-1457, 2013.
  8. Y.Panagakis and C.Kotropoulos, "Music classification by low-rank semantic mappings", EURASIP Journal Audio, Speech, and Music Processing, 2013.
  9. Y.Panagakis and C.Kotropoulos, "Telephone handset identification by collaborative representations", Int. Journal Digital Crime and Forensics, 2013.
  10. S. Karavarsamis, N. Ntarmos, K. Blekas and I.Pitas, "Detecting Pornographic Images by Localizing Skin ROIs.", International Journal of Digital Crime and Forensics (IJDCF), Volume 5, Number 1, September, 2013.
  11. N.Vretos, A.Tefas and I.Pitas, "Using robust dispersion estimation in support vector machines", Pattern Recognition, Volume 46, Issue 12, 2013.
  12. A.Iosifidis, A.Tefas and I.Pitas, "Minimum Class Variance Extreme Learning Machine for Human Action Recognition", IEEE Transactions on Circuits and Systems for Video Technology, 1968-1979, 2013 (Code).
  13. C.Sagonas, I.Marras, I.Kasampalidis, I.Pitas, K.Lyroudia and G.Karagianopoulou, "FISH image analysis using a modified radial basis function network", Biomedical Signal Processing and Control, pp. 30-40, 2013.

2012

  1. S.Nikitidis, N.Nikolaidis and I.Pitas, "Multiplicative Update Rules for Incremental Training of Multiclass Support Vector Machines", Pattern Recognition, vol 45, no 5, pp. 1838-1852, May, 2012.
  2. A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Multi-view human movement recognition based on Fuzzy distances and Linear Discriminant Analysis", Computer Vision and Image Understanding, vol. 116, pp. 347-360, March, 2012.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Activity based Person Identification using Fuzzy Representation and Discriminant Learning", IEEE Transactions in Information Forensics and Security, vol.7, no.2, pp.530-542, April, 2012.
  4. A.Iosifidis, A.Tefas and I.Pitas, "View-invariant action recognition based on Artificial Neural Networks", IEEE Transactions on Neural Networks and Learning Systems, vol.23, no.3, pp.412-424, March, 2012.
  5. N.Tsapanos, A.Tefas, N.Nikolaidis and I.Pitas, "Shape matching using a binary search tree structure of weak classifiers", Pattern Recognition, pp. 2363-2376, 2012.
  6. S.Nikitidis, A.Tefas, N.Nikolaidis and I.Pitas, "Subclass Discriminant Non negative Matrix Factorization for Facial Image Analysis", Pattern Recognition, vol. 45, issue 12, pp. 4080-4091, December, 2012.
  7. N.Vretos, N.Nikolaidis and I.Pitas, "Video Fingerprinting Using Latent Dirichlet Allocation and Facial Images", Pattern Recognition, vol. 45, no. 7,pp. 2489-2498, July, 2012.

2011

  1. N.Bassiou and C.Kotropoulos, "Long distance bigram language models applied to word clustering", Pattern Recognition, vol. 44, no 1, pp. 145 - 158, 2011.
  2. N.Bassiou and C.Kotropoulos, "RPLSA: A novel updating scheme for probabilistic latent semantic analysis", Computer, Speech and Language, vol. 25, no. 4, pp. 741-760, 2011.
  3. N.Vretos, V.Solachidis and I.Pitas, "A Mutual Information Based Face Clustering Algorithm For Movie Content Analysis", Image and Vision Computing journal, vol. 29, no. 10, pp. 693-705, July, 2011.
  4. A.Maronidis, D.Bolis, A.Tefas and I.Pitas, "Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets", Neural Networks, 814-823, October, 2011.
  5. I.Marras, N.Nikolaidis and I.Pitas, "Frontal facial pose recognition using a discriminant splitting feature extraction procedure", Journal of Computing and Information Technology, vol 19, no 4, 2011.

2010

  1. M.Kyperountas, A.Tefas and I.Pitas, "Salient feature and reliable classifier selection for facial expression classification", Pattern Recognition, 972-986, 2010.
  2. S.Krinidis and I.Pitas, "Statistical Analysis of Human Facial Expressions", Journal of Information Hiding and Multimedia Signal Processing, June, 2010.
  3. E.Benetos and C.Kotropoulos, "Non-negative tensor factorization applied to music genre classification", IEEE Trans. Audio, Speech, and Language Processing, vol. 18, no. 8, pp. 1955-1967, November, 2010.
  4. N.Bassiou, V.Moschou and C.Kotropoulos, "Speaker diarization exploiting the eigengap criterion and cluster ensembles", IEEE Trans. Audio, Speech, and Language Processing, vol. 18, no. 8, pp. 2134-2144, November, 2010.
  5. Y.Panagakis, C.Kotropoulos and G.R.Arce, "Non-negative multilinear principal component analysis of auditory temporal modulations for music genre classification", IEEE Trans. Audio, Speech, and Language Processing, vol. 18, no. 3, pp. 576-588, March, 2010.
  6. N.Tsapanos, A.Tefas and I.Pitas, "Online Shape Learning using Binary Search Trees", Image and Vision Computing, vol. 28, issue 7, pp. 1146 - 1154, July, 2010.
  7. S.Nikolopoulos, S.Zafeiriou, N.Nikolaidis and I.Pitas, "Image replica detection system utilizing R-trees and linear discriminant analysis", Pattern Recognition, vol. 43, no 3, pp. 636-649, March, 2010.

2009

  1. P.Sidiropoulos, N.Nikolaidis and I.Pitas, "Invertible Chaotic Fragile Watermarking for Robust Image Authentication.", Chaos, Solitons and Fractals, vol. 42, issue 5, pp. 2667 - 2674, December, 2009.
  2. S.Siatras, N.Nikolaidis, M.Krinidis and I.Pitas, "Visual Lip Activity Detection and Speaker Detection Using Mouth Region Intensities", IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 1 pp. 133-137, January, 2009.
  3. S.Asteriadis, N.Nikolaidis and I.Pitas, "Facial Feature Detection Using Distance Vector Fields", Pattern Recognition, vol. 42 , no. 7, pp. 1388-1398, July, 2009.
  4. C.Cotsaces, N.Nikolaidis and I.Pitas, "Semantic Video Fingerprinting and Retrieval Using Face information", Signal Processing: Image Communication, vol 24, no. 7, pp. 598-613, August, 2009.
  5. D.Ververidis and C.Kotropoulos, "Information loss of the Mahalanobis distance in high dimensions: Applications to feature selection", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 12, pp. 2275-2281, December, 2009.
  6. C.Kotropoulos and G.R.Arce, "Linear discriminant classifier with reject option for the detection of vocal fold paralysis and vocal fold edema", EURASIP Advances in Signal Processing, vol. 2009, article ID 203790, 13 pages, 2009 (DOI:10.1155/2009/203790).
  7. M.Krinidis and I.Pitas, "Color texture segmentation based on the modal energy of deformable surfaces", IEEE transactions on Image Processing, pp. 1613-1622, 2009.
  8. I.Kotsia, S.Zafeiriou and I.Pitas, "A Novel Class of Multiclass Classifiers based on the Minimization of Within-Class-Variance", IEEE Transactions on Neural Networks, January, 2009.
  9. G.Goudelis, A.Tefas and I.Pitas, "Automated Facial Pose Extraction From Video Sequences Based on Mutual Information", IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 3, pp. 418 - 424, March, 2009.
  10. I.Buciu, C.Kotropoulos and I.Pitas, "Comparison of ICA approaches for facial expression recognition", Signal, Image, and Video Processing, vol. 3, no. 4, pp. 1703-1711, December, 2009 (DOI: 10.1007/s11760-008-0074-3).
  11. G.Almpanidis, M.Kotti and C.Kotropoulos, "Robust Detection of Phone Boundaries Using Model Selection Criteria with Few Observations", IEEE Trans. Audio, Speech, and Language Processing, vol. 17, no. 2, pp. 287-298, February, 2009.
  12. M.Krinidis, N.Nikolaidis and I.Pitas, "3-D Head Pose Estimation in Monocular Video Sequences Using Deformable Surfaces and Radial Basis Functions", IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 2, pp. 261 - 272, February, 2009.

2008

  1. G.Goudelis, A.Tefas and I.Pitas, "Emerging Biometric Modalities: a Survey", Journal on Multimodal User Interfaces, vol. 2, no. 3-4, pp. 217 - 235, 2008.
  2. I.Buciu, N.Nikolaidis and I.Pitas, "Non-negative matrix factorization in polynomial feature space", IEEE Trans. on Neural Networks, vol. 19 no. 6, pp. 1090-695, June, 2008.
  3. Z.Cernekova, C. Malerczyk, N.Nikolaidis and I.Pitas, "Interaction In Edutainment Applications Using Monocular Posture Tracking", Computer Graphics and Geometry, vol. 10, no. 2, pp 25-33, 2008.
  4. I.Marras, N.Nikolaidis, G.Mikrogeorgis, K.Lyroudia and I.Pitas, "A Virtual System for Cavity Preparation in Endodontics", Journal of Dental Education, vol. 72, no. 4, April, 2008.
  5. G.Almpanidis and C.Kotropoulos, "Phonemic Segmentation Using the Generalised Gamma Distribution and Small Sample Bayesian Information Criterion", Speech Communication, vol. 50, no. 1, pp. 38-55, 2008.
  6. M.Kotti, V.Moschou and C.Kotropoulos, "Speaker segmentation and clustering", Signal Processing, vol. 88, no. 5, pp. 1091-1124, May, 2008.
  7. S.Zafeiriou and I.Pitas, "Discriminant Graph Structures for Facial Expression Recognition", IEEE Transactions on Multimedia, November, 2008.
  8. D.Ververidis and C.Kotropoulos, "Gaussian mixture modeling by exploiting the Mahalanobis distance", IEEE Trans. Signal Processing, vol. 56, no. 7, part I, pp. 2797-2811, July, 2008.
  9. S.Nikitidis, S.Zafeiriou and I.Pitas, "Camera Motion Estimation Using a Novel Online Vector Field Model in Particle Filters", IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 8, pp. 1028-1039, August, 2008.
  10. C.Cotsaces, N.Nikolaidis and I.Pitas, "Face-based digital signatures for video retrieval", IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 4, pp. 549 - 553, April, 2008.
  11. M.Kotti, E.Benetos and C.Kotropoulos, "Computationally efficient and robust BIC-based speaker segmentation", IEEE Trans. Audio, Speech, and Language Processing, vol. 16, no. 5, pp. 920-933, July, 2008.
  12. D.Ververidis and C.Kotropoulos, "Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition", Signal Processing, vol. 88, no. 12, pp. 2956-2970, December, 2008.
  13. A.Hajdu and I.Pitas, "Piecewise linear digital curve representation and compression using graph theory and a line segment alphabet", IEEE Transactions on Image Processing, vol. 17, no. 2, pp. 126-133, February, 2008.
  14. M.Kotti, D.Ververidis, G.Evangelopoulos, Y.Panagakis, C.Kotropoulos, P.Maragos and I.Pitas, "Audio-assisted movie dialogue detection", IEEE Trans. Circuits and Systems for Video Technology, vol. 18, no. 11, pp. 1618-1627, November, 2008 (Special Issue on Event Analysis in Videos).
  15. I.Kotsia, S.Zafeiriou and I.Pitas, "Texture and Shape Information Fusion for Facial Expression and Facial Action Unit Recognition", Elsevier Pattern Recognition journal, special issue on Feature Generation and Machine Learning for Robust Multimodal Biometrics, vol. 4, no. 3, pp. 834-851, March, 2008 (Special Issue on Machine Learning Techniques for Multimodal Biometrics).
  16. I.Kotsia, I.Buciu and I.Pitas, "An analysis of facial expression recognition under partial facial image occlusion", Elsevier Image and Vision Computing journal, vol. 26, no. 7, pp. 1052-1067, July, 2008.
  17. M.Kyperountas, A.Tefas and I.Pitas, "Dynamic Training using Multistage Clustering for Face Recognition", Pattern Recognition, vol. 41, no. 3, pp. 894-905, 2008.
  18. N.Gkalelis, A.Tefas and I.Pitas, "Combining fuzzy vector quantization with linear discriminant analysis for continuous human movement recognition", IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 11, pp. 1511-1521, November, 2008.
  19. A.Mooney, J.G.Keating and I.Pitas, "A comparative study of chaotic and white noise signals in digital watermarking", in Chaos, Solitons and Fractals, vol. 35, no. 5, pp. 913-921, 2008.

2007

  1. S.Zafeiriou, A.Tefas and I.Pitas, "Learning Discriminant Person-Specific Facial Models Using Expandable Graphs", IEEE Transactions on Information Forensics and Security, vol. 2, no. 1, pp. 55-68, March, 2007.
  2. V.Rodriguez-Doncel, N.Nikolaidis and I.Pitas, "An Optimal Detector Structure for the Fourier Descriptors Domain Watermarking of 2D Vector Graphics", IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 5 pp. 851-863, September/October, 2007.
  3. I.Kasampalidis, I.Pitas and K.Lyroudia, "Conservation of Metal coordinating Residues", Proteins: Structure, Function and Bioinformatics, vol. 68, no. 1, pp. 123-30, 2007.
  4. Z.Theodosiou, I.Kasampalidis, G.Livanos, M.Zervakis, I.Pitas and K.Lyroudia, "Automated Analysis of FISH and Immunohistochemistry Images: A Review", Cytometry, part 1, vol. 71, pp. 439-450, 2007.
  5. Z.Theodosiou, I.Kasampalidis, G.Karagianopoulou, I.Kostopoulos, M.Bobos, G.Bevilacqua, P.Aretini, A.Starita, K.Lyroudia and I.Pitas, "Evaluation of FISH image analysis system on assessing HER2 amplification in breast carcinoma cases.", Breast, September 20, 2007.
  6. S.Zafeiriou, A.Tefas and I.Pitas, "Minimum Class Variance Support Vector Machines", IEEE Transactions on Image Processing, vol. 16, no. 10, pp. 2551-2564, October, 2007.
  7. G.Almpanidis, C.Kotropoulos and I.Pitas, "Combining Text and Link Analysis for Focused Crawling ? An Application for Vertical Search Engines", Information Systems, vol. 32, no. 6, pp. 886-908, 2007.
  8. N.Bassiou and C.Kotropoulos, "Color Image Histogram Equalization by Absolute Discounting Back-off", Computer Vision and Image Understanding, vol. 107, no. 1-2, pp. 108-122, 2007.
  9. Z.Cernekova, C.Kotropoulos and I.Pitas, "Video shot boundary detection using singular value decomposition and statistical tests", SPIE Journal of Electronic Imaging, vol. 16, no. 4, December, 2007.
  10. G.Goudelis, S.Zafeiriou, A.Tefas and I.Pitas, "Class-Specific Kernel Discriminant Analysis for Face Verification", IEEE Transactions on Information Forensics and Security, vol. 2, no. 3, part 2, pp. 570-587, September, 2007 (Special issue on Human Detection and Recognition).
  11. A.Hajdu and I.Pitas, "Optimal approach for fast object-template matching", IEEE Transactions on Image Processing, vol. 16, no. 8, pp. 2048-2057, August, 2007.
  12. I.Kotsia and I.Pitas, "Facial Expression Recognition in Image Sequences using Geometric Deformation Features and Support Vector Machines", IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 172 - 187, 2007.
  13. I.Kotsia, S.Zafeiriou and I.Pitas, "A Novel Discriminant Non-negative Matrix Factorization Algorithm with Applications to Facial Image Characterization Problems", IEEE Transaction on Forensics and Security, vol. 2, no. 3, part 2, pp. 588-595, September, 2007 (Special issue on Human Detection and Recognition).
  14. M.Kotti, E.Benetos, C.Kotropoulos and I.Pitas, "A neural network approach to audio-assisted movie dialogue detection''", Neurocomputing Special Issue: Advances in Neural Networks, vol. 71, no. 1-3, pp. 157-166, 2007.
  15. M.Kyperountas, A.Tefas and I.Pitas, "Weighted piecewise LDA for solving the small sample size problem in face verification", IEEE Transactions on Neural Networks, vol. 18, no. 2, pp. 506-519, 2007.
  16. M.Kyperountas, C.Kotropoulos and I.Pitas, "Enhanced eigen-audioframes for audiovisual scene change detection", IEEE Transactions on Multimedia, vol. 9, no. 4, pp. 785-797, 2007.
  17. O.Martin, I.Kotsia, A.Savran, J.Adell, A.Huerta, R.Sebbe and I.Pitas, "Synthesis of Expressive Facial Animations: A Multimodal Caricatural Mirror", Journal on Multimodal Interfaces, vol. 1, no. 1, March, 2007.
  18. V.Moschou, D.Ververidis and C.Kotropoulos, "Assessment of self organizing map variants for clustering with application on redistribution of emotional speech patterns", Elsevier Neurocomputing, Special Issue: Advances on Neural Networks for Speech and Audio Processing, vol. 71, no. 1-3, pp. 147-156, 2007.
  19. M.Krinidis, N.Nikolaidis and I.Pitas, "The Discrete Modal Transform and its Application to Lossy Image Compression, Signal Processing: Image Communication", Elsevier, vol.22, no. 5, pp. 480-504, 2007.
  20. M.Krinidis, N.Nikolaidis and I.Pitas, "2D Feature Point Selection and Tracking Using 3D Physics-Based Deformable Surfaces", IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 8, pp. 876-888, 2007.
  21. V.Solachidis and I.Pitas, "Watermarking Digital 3-D Volumes in the Discrete Fourier Transform Domain", IEEE Transactions Multimedia, vol. 9, no. 7, November, 2007.
  22. G.Stamou, M.Krinidis, N.Nikolaidis and I.Pitas, "A Monocular System for Person Tracking: Implementation and Testing", Journal on Multimodal Interfaces, vol. 1, no. 2, pp. 31-47, 2007.
  23. S.Zafeiriou, A.Tefas and I.Pitas, "The discriminant elastic graph matching algorithm applied to frontal face verification", Pattern Recognition, vol. 40, no. 10, pp. 2798-2810, October, 2007.

2006

  1. I.Buciu and I.Pitas, "NMF, LNMF and DNMF modeling of neural receptive fields involved in human facial expression perception", Journal of Visual Communication and Image Representation, vol. 17, no. 5, October, 2006.
  2. Z.Cernekova, I.Pitas and C.Nikou, "Information theory-based shot cut/fade detection and video summarization", IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, January, 2006.
  3. C.Cotsaces, N.Nikolaidis and I.Pitas, "Video Shot Boundary Detection and Condensed Representation: A Review", IEEE Signal Processing Magazine, vol. 23 no. 2 pp. 28-37, March, 2006.
  4. D.Ververidis and C.Kotropoulos, "Emotional Speech Recognition: Resources, features and methods", Elsevier Speech communication, vol. 48, no. 9, September, 2006.
  5. S.Zafeiriou, A.Tefas, I.Buciu and I.Pitas, "Exploiting Discriminant Information in Non-negative Matrix Factorization with application to Frontal Face Verification", IEEE Transactions on Neural Networks, vol. 17, no. 3, pp. 683-695, May, 2006.
  6. I.Giakoumis, N.Nikolaidis and I.Pitas, "Digital image processing techniques for the detection and removal of cracks in digitized paintings", IEEE Transactions on Image Processing, vol. 15, no. 1, January, 2006.
  7. M.Gavrielides, E.Sikudova and I.Pitas, "Color-based Descriptors for Image Fingerprinting", IEEE Transactions on Multimedia, vol.8, n.4, p.740-748, 2006.
  8. G.Mikrogeorgis, I.Molyvdas, K.Lyroudia, N.Nikolaidis and I.Pitas, "A new methodology for the comparative study of the root canal instrumentation techniques based on digital radiographic image processing and analysis", Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, vol 101, no 6, pp. 125-131, June, 2006.
  9. A. Digka, K.Lyroudia, T.Jirasek, I.Kasampalidis, G.Karayannopoulou and L.Kubinova, "Visualization of Human Dental Pulp Vasculature by Immunohistochemical and Immunofluorescent Detection of CD34: A Comparative Study", Aust. Endod. J., vol. 32, pp. 101-106, 2006 (the definitive version is available at www.blackwell-synergy.com).
  10. I.Buciu, C.Kotropoulos and I.Pitas, "Demonstrating the stability of support vector machines for classification", Signal Processing Elsevier, vol. 86, no. 9, pp. 2364 - 2380, 2006.

2005

  1. S.Krinidis and I.Pitas, "Fast Free Vibration Modal Analysis of 2D Physics-Based Deformable Objects", IEEE Transactions on Image Processing, vol. 14, March, 2005.
  2. S.Zafeiriou, A.Tefas and I.Pitas, "Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh Objects", IEEE Transactions on Visualization and Computer Graphics, vol. 11, no. 5, pp 596-607, September-October, 2005.
  3. F.Raimondo, M.Gavrielides, G.Karayannopoulou, K.Lyroudia, I.Pitas and I.Kostopoulos, "Automated evaluation of Her-2/neu status in breast tissue from fluorescent in situ hybridization images", IEEE Transactions on Image Processing Special Issue on Biomedical Images, vol. 14, no. 9, September, 2005.

2004

  1. A.Georgakis, C.Kotropoulos, A.Xafopoulos and I.Pitas, "Marginal median WEBSOM for information organization and retrieval", Neural Networks, vol. 17, pp. 365-377, 2004.
  2. E.Loutas and I.Pitas, "Probabilistic face detection and tracking using entropy measures", IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1, January, 2004.
  3. E.Loutas, I.Pitas and C.Nikou, "Entropy - based metrics for the analysis of partial and total occlusion in video object tracking, IEE Proceedings of Vision", Image and Signal Processing, Vol. 151, No. 6, December, 2004.
  4. V.Solachidis and I.Pitas, "Watermarking polygonal lines using Fourier descriptors", IEEE Computer Graphics and Applications, vol.24, no, 3, May-June, 2004.
  5. V.Solachidis and I.Pitas, "Optimal detector for multiplicative watermarks embedded in the DFT domain of non-white signals", Eurasip Journal on Applied Signal Processing, no. 16, November, 2004.
  6. S.Tsekeridou, F.A.Cheikh, M.Gabbouj and I.Pitas, "Vector rational interpolation schemes for erroneous motion field estimation applied to MPEG-2 error concealment", IEEE Transactions on Multimedia, vol. 6, no. 6, December, 2004.
  7. A.Xafopoulos, C.Kotropoulos, G.Almpanidis and I.Pitas, "Language identification in web documents using discrete HMMs", Pattern Recognition, vol. 37, pp. 583-594, 2004.
  8. G.Mikrogeorgis, K.L.Lyroudia, I.Molyvdas, N.Nikolaidis and I.Pitas, "Digital Radiograph Registration and Subtraction: A Useful Tool for the Evaluation of the Progress of Chronic Apical Periodontitis", Journal of Endodontics, vol. 30, no. 7, July, 2004.
  9. K.Lyroudia, G.Mikrogeorgis, Ch.Chatzikallinikidis, E.Kechagias, N.Nikolaidis and I.Pitas, "3-Dimensional Volume Reconstruction of Primmary Teeth and Their Virtual Pulp Cavity Access", Balkan Journal of Stomatology, pp. 134-137, 2004.
  10. G.Mikrogeorgis, K.Lyroudia, I.Molyvdas and N.Nikolaidis, "Digital Radiograph Registration and Subtraction: A Useful Tool for the Evaluation of the Progress of Chronic Apical Periodontitis", Journal of Endodontics, vol. 30, no. 7, July, 2004.

2003

  1. C.Kotropoulos and I.Pitas, "Segmentation of ultrasonic images using support vector machines", Pattern Recognition Letters, vol. 24, pp. 715-727, 2003.
  2. S.Krinidis, C.Nikou and I.Pitas, "A Global Energy Function for the Alignment of Serially Acquired Slices", IEEE Transactions on Information Technology in Biomedicine, vol. 7, no. 2, June, 2003.
  3. S.Krinidis, C.Nikou and I.Pitas, "Reconstruction of Serially Acquired Slices using Physics-based Modelling", IEEE Transactions on Information Technology in Biomedicine, vol. 7, no. 4, December, 2003.
  4. A.Nikolaidis and I.Pitas, "Asymptotically Optimal Detection for Additive Watermarking in the DCT and DWT Domains", IEEE Transactions on Image Processing, vol. 12, no. 5, May, 2003.
  5. A.Tefas, A.Nikolaidis, N.Nikolaidis, V.Solachidis, S.Tsekeridou and I.Pitas, "Markov chaotic sequences for correlation based watermarking schemes", Chaos, Solitons and Fractals, vol. 17, pp. 567-573, 2003.
  6. A.H.Paquet, R.K.Ward and I.Pitas, "Wavelet Packets-based Digital Watermarking for Image Verification and Authentication", Signal Processing, special issue on Security of Data Hiding Techniques, vol. 83, issue 10, October, 2003.
  7. A.Tefas, A.Nikolaidis, N.Nikolaidis, V.Solachidis, S.Tsekeridou and I.Pitas, "Performance Analysis of Correlation-based Watermarking Schemes employing Markov Chaotic Sequences", IEEE Transactions on Signal Processing, vol. 51, no. 7, pp. 1979 - 1994, July, 2003.

2002

  1. A.Bors, L.Kechagias and I.Pitas, "Binary morphological shape-based interpolation applied to 3-D tooth reconstruction", IEEE Transactions on Medical Imagining, vol. 21, no. 2, February, 2002.
  2. M.Gordan, C.Kotropoulos and I.Pitas, "A support vector machine-based dynamic network for visual speech recognition applications", Journal of Applied Signal Processing, vol. 2002, no. 11, November, 2002.
  3. C.Kotropoulos, M.Pappas and I.Pitas, "Sorting networks using Lp mean comparators for signal processing applications", IEEE Transactions on Signal Processing, vol. 50, no. 11, November, 2002.
  4. A.Tefas, C.Kotropoulos and I.Pitas, "Face verification using elastic graph matching based on morphological signal decomposition", Signal Processing, vol. 82, no. 6, June, 2002.
  5. K.Lyroudia, G.Mikrogeorgis, P.Bakaloudi, E.Kechagias, N.Nikolaidis and I.Pitas, "Virtual endodontics: three-dimensional teeth volume representations and their pulp cavity access", Journal of Endodontics, pp.599-602, 2002.
  6. K.Lyroudia, V.Dourou, O.Pantelidou, Th.Lambrianidis and I.Pitas, "Internal root resorption studied by radiography, stereomicroscope, scanning electron microscope, and computerized 3D reconstructive method.", Dental Traumatology, vol. 18 no. 3, pp. 148-15, 2002.

2001

  1. F.Bartollini, A.Tefas, M.Barni and I.Pitas, "Image Authentication Techniques for Surveillance Applications", Proceedings of the IEEE, vol. 89, no. 10, September, 2001.
  2. P.Bassia, I.Pitas and N.Nikolaidis, "Robust audio watermarking in the time domain", IEEE Transactions on Multimedia, vol. 3, no. 2, June, 2001.
  3. A.Nikolaidis and I.Pitas, "Region-Based Image Watermarking", IEEE Transactions on Image Processing, vol. 10, no. 11, November, 2001.
  4. W.Puech, A.Bors, I.Pitas and J.-M.Chassery, "Projection distortion analysis for flattened image mosaicing from straight uniform generalized cylinders", Pattern Recognition, vol. 34, issue 8, August, 2001.
  5. V.Solachidis and I.Pitas, "Circularly Symmetric Watermark Embedding in 2D DFT domain", Transactions on Image Processing, vol. 10, no. 11, November, 2001.
  6. S.Stankovic, I.Djurovic and I.Pitas, "Watermarking in the Space/Spatial Domain Using Two-Dimentional Radon Wigner distribution", IEEE Transactions on Image Processing, vol. 10, no. 4, April, 2001.
  7. A.Tefas, C.Kotropoulos and I.Pitas, "Using Support vector machines to enhance the performance of elastic graph matching for frontal face authentication", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 7, July, 2001.
  8. S.Tsekeridou and I.Pitas, "Content-based Video Parsing and Indexing based on Audio-Visual Interaction", IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, 2001.
  9. S.Tsekeridou, V.Solachidis, N.Nikolaidis, A.Nikolaidis, A.Tefas and I.Pitas, "Statistical Analysis of a Watermarking System based on Bernoulli Chaotic Sequences, Signal Processing", Elsevier Special Issue on Information Theoretic Issues in Digital Watermarking, vol. 81, no. 6, pp. 1273-1293, 2001.

2000

  1. A.Bors and I.Pitas, "Prediction and Tracking of Moving Objects in Image Sequences", IEEE Transactions on Image Processing, vol. 9, no. 8, August, 2000.
  2. V.Chatzis and I.Pitas, "Interpolation of 3-D Binary Images Based on Morphological Skeletonization", IEEE Transactions on Medical Imaging, vol. 19, no. 7, July, 2000.
  3. V.Chatzis and I.Pitas, "A Generalized Fuzzy Mathematical Morphology and its Application in Robust 2D and 3D Object Representation", IEEE Transactions on Image Processing, vol. 9, issue 10, October, 2000.
  4. C.Kotropoulos, A.Tefas and I.Pitas, "Frontal face authentication using discriminating grids with morphological feature vectors", IEEE Transactions on Multimedia, vol. 2, no. 1, March, 2000.
  5. C.Kotropoulos, A.Tefas and I.Pitas, "Frontal face authentication using morphological elastic graph matching", IEEE Transactions on Image Processing, vol. 9, no. 4, April, 2000.
  6. C.Kotropoulos, A.Tefas and I.Pitas, "Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions", Pattern Recognition, vol. 33, no. 12, October, 2000.
  7. A.Nikolaidis and I.Pitas, "Robust watermarking of facial images based on salient geometric pattern matching", IEEE Transactions on Multimedia, vol. 2, no. 3, September, 2000.
  8. A.Nikolaidis and I.Pitas, "Facial feature extraction and pose determination", Pattern Recognition, Elsevier, vol. 33, no. 11, November, 2000.
  9. N.Nikopoulos and I.Pitas, "A Fast Implementation of 3-D Binary Morphological Transformations", IEEE Transactions on Image Processing, vol. 9, no. 2, February, 2000.
  10. M.Pappas and I.Pitas, "Digital Color Restoration of Old Painting", IEEE Transactions On Image Processing, vol. 9, no. 2, February, 2000.
  11. I.Pitas and C.Cotsaces, "Memory Efficient Propagation - Based Watershed and Influence Zone Algorithms for Large Images", IEEE Transactions on Image Processing, vol. 9, no. 7, July, 2000.
  12. S.Tsekeridou and I.Pitas, "MPEG-2 Error Concealment based on Block Matching Principles", IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, no. 4, June, 2000.
  13. S.Vlassis, K.Doris, S.Siskos and I.Pitas, "Analog Implementation of Erosion/Dilation, Median and Order Statistics Filters", Pattern Recognition, Special Issue on Mathematical Morphology and Nonlinear Image Processing(Wiley), vol. 33, pp. 1023-1032, 2000.
  14. K.Lyroudia, O.Pantelidou, G.Mikrogeorgis, N.Nikopoulos and I.Pitas, "Three-Dimensional Reconstruction: A New Method for the Evaluation of Apical Microleakage", Journal of Endodontics, vol. 26, no. 1, pp. 36-38, January, 2000.
  15. K.Lyroudia, O.Pantelidou, G.Mikrogeorgis, Ch.Chatzikallinikidis, N.Nikopoulos and I.Pitas, "The use of 3D computerized reconstruction for the study of coronal microleakage", Int. Endodontic Journal, no. 33, pp. 243-247, 2000.

1999

  1. A.Bors and I.Pitas, "Object Classification in 3-D Images Using Alpha-Trimmed Mean Radial Basis Function Network", IEEE Transactions on Image Processing, vol. 9, no. 12, December, 1999.
  2. C.Busch, K.Nahrstedt and I.Pitas, "Image Security", IEEE Computer Graphics and Applications, vol. 19, no. 1, January-February, 1999.
  3. V.Chatzis and I.Pitas, "Fuzzy Scalar and Vector Median filters based on Fuzzy Distances", IEEE Transactions on Image Processing, vol. 8, no. 5, May, 1999.
  4. V.Chatzis, A.Bors and I.Pitas, "Multimodal Decision Level Fusion for Person Authentication", IEEE Transactions on System, Man and Cybernetics, vol. 29, no. 6, 1999.
  5. C.A.Kapoutsis, C.P.Vavoulidis and I.Pitas, "Morphological Iterative Closest Point Algorithm", IEEE Transactions on Image Processing, vol. 8, no. 11, November, 1999.
  6. C.Kotropoulos and I.Pitas, "Adaptive Multichannel Marginal L-filters", SPIE Optical Engineering, vol. 38, no. 4, pp. 688-704, 1999.
  7. K.Lyroudia, V.Dourou, A. Digka and I.Pitas, "3D reconstruction of six mandibular canines", Hellenic Dental Journal, no. 9, pp. 63-67, 1999.
  8. M.Pappas, G.Angelopoulos, A.Kadoglou and I.Pitas, "A Database Management System for Digital Archiving of Paintings and Works of Art", Computers and the History of Art, vol. 8, no. 2, pp. 15-35, 1999.
  9. M.Pappas and I.Pitas, "Multichannel Distance Filter", IEEE Transactions on Signal Processing, vol. 47, no. 12, December, 1999.
  10. S.Siskos, S.Vlassis and I.Pitas, "Analog Implementation of an Order Statistics Filter", IEEE Transactions on Circuits and Systems: Part II, vol. 46, October, 1999.
  11. G.Voyatzis and I.Pitas, "Protecting digital image copyrights: a framework", IEEE Computer Graphics and Applications, vol. 19, no. 1, January-Febrary, 1999.
  12. G.Voyatzis and I.Pitas, "Problems and Challenges in Multimedia Networking and Content Protection", TICSP Series #3, Trends and Challenges, Contributions to Workshop on Trends and Important Challenges in Signal Processing, ed. Jaakko Astola, March, 1999.
  13. G.Voyatzis and I.Pitas, "The use of watermarks in the protection of digital multimedia products", Proceedings of the IEEE, vol. 87, no. 7, July, 1999.
  14. K.Lyroudia, G.Pappa and I.Pitas, "Study of the possible anatomical variations of mandibular premolars computerized 3D reconstructions", Hellenic Dental Journal, no. 9, pp. 23-28, 1999.
  15. K.Lyroudia, V.Dourou, G.Pappa and I.Pitas, "3D reconstruction of external and internal morphology of upper and lower incisors", Ododostomatological Progress, vol. 53, no. 3, pp. 302-310, 1999.
  16. K.Lyroudia, Ch.Chatzikallinikidis, A.Dinga and I.Pitas, "Mandibular molars,3D reconstruction and configuration of their morphological variations", Stoma, no 27, pp. 281-286, 1999.
  17. K.Lyroudia, G.Mikrogeorgis, N.Nikopoulos, I.Pitas, I.Molyvdas and Th.Lambrianidis, "3D Computer Aided Reconstruction Of Six Teeth with Morphological Abnormalities", Int. Endodontics Journal, pp.32, 281-286, 1999.
  18. G.Mikrogeorgis, K.Lyroudia, N.Nikopoulos, I.Pitas, I.Molyvdas and Th.Lambrianidis, "3D computer-aided reconstruction of six teeth with morphological abnormalities.", International Endodontic Journal, vol. 32 no. 2, pp. 88-93, 1999.
  19. Κ.Λυρούδια, Β.Δούρου, Γ.Παππά and Ι.Πήτας, "Τρισδιάστατη αναπαράσταση εσωτερικής και εξωτε", Οδοντοστοματολογική Πρόοδος, vol. 53, no. 3, 302-310, 1999.

1998

  1. A.Bors and I.Pitas, "Optical Flow Estimation and Moving Object Segmentation Based on Median Radial Basis Function Network", IEEE Transactions on Image Processing, vol. 7, no. 5, May, 1998.
  2. A.Bors and I.Pitas, "Image Watermarking Using Block Site Selection and DCT Domain Constraints", Optics Express, vol. 3, no. 12, December, 1998.
  3. V.Chatzis and I.Pitas, "Nonlinear Location and Scale Estimators of Fuzzy Numbers", IEEE Transactions on Signal Processing, vol. 46, no. 1, January, 1998.
  4. D.Coltuc and I.Pitas, "Fast Computation of a class of running filters", IEEE Transactions on Signal Processing, vol. 46, no. 3, pp. 549-553, 1998.
  5. C.Kotropoulos, N.Nikolaidis, A.Bors and I.Pitas, "Robust and Adaptive Techniques in Self-organizing Neural Networks", Int. Journal of Computer Mathematics, vol. 67, pp. 183-200, 1998.
  6. N.Nikolaidis and I.Pitas, "Robust image watermarking in the spatial domain", Signal Processing, Elsevier, vol. 66, no. 3, pp. 385-403, 1998.
  7. N.Nikolaidis and I.Pitas, "Nonlinear Processing and Analysis of Angular Signals", IEEE Transactions on Signal Processing, vol. 46, no. 12, December, 1998.
  8. I.Pitas, "A Method for Watermark Casting in Digital Images", IEEE Transactions on Circuits and Systems on Video Technology, vol. 8, October, 1998.
  9. K.Sobottka and I.Pitas, "A novel method for automatic face segmentation, facial feature extraction and tracking", Image Communication, Elsevier, vol. 12, no. 3, June, 1998.
  10. S.Siskos, S.Vlassis and I.Pitas, "Analog Implementation of fast min-max filtering", IEEE Transactions on Circuits and Systems, Part II, vol. 45, July, 1998.
  11. S.Tsekeridou, C.Kotropoulos and I.Pitas, "Adaptive Order Statistic Filters for the Removal of Noise from Corrupted Images", SPIE Optical Engineering, vol. 37, no. 10, October, 1998.
  12. G.Voyatzis and I.Pitas, "Digital Image Watermarking using Mixing Systems", omputer & Graphics, Elsevier, vol. 22, no. 4, pp. 405-416, 1998.
  13. G.Mikrogeorgis, K.Lyroudia, N.Nikopoulos, I.Pitas, I.Molyvdas and Th.Lambrianidis, "3D Computer-aided Reconstruction of Six Teeth with Morphological Abnormalities", Int. Endodontic Journal, 1998.

1997

  1. V.Chatzis and I.Pitas, "Fuzzy Cell Hough Transform for Curve Detection", attern Recognition, Elsevier, vol. 30, no. 12, December, 1997.
  2. D.Coltuc and I.Pitas, "On Fast Running Max-Min Filtering", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 44, no. 8, April, 1997.
  3. K.Lyroudia, G.Samakovitis, I.Pitas, Th.Lambrianidis, I.Molyvdas and G.Mikrogeorgis, "3D Reconstruction of Two C-Shape Mandibular Molars", Journal of Endodontics, The American Association of Endodontists, vol. 23, no. 2, February, 1997.
  4. K.Lyroudia, G.Mikrogeorgis, N.Nikopoulos, G.Samakovitis, I.Molyvdas and I.Pitas, "Computerized 3-D Reconstruction of two Double Teeth", Endodontics and Dental Traumatology, vol. 13, pp. 218-22, October, 1997.
  5. K.Lyroudia, G.Mikrogeorgis, N.Nikopoulos, I.Pitas, G.Samakovitis and M.Karanika, "Three-dimensional Computer-aided reconstruction of the morphology of teeth with malformations", Medical Informatics in Europe 1997, pp. 482-486, 1997.
  6. G.Mikrogeorgis, V.Dourou, N.Nikopoulos, K.Lyroudia and I.Pitas, "3D Computer-aided Reconstruction of the Morphology of Seven Upper Premolars", STOMA, vol. 25, March, 1997.
  7. I.Pitas and A.Karasaridis, "Multichannel Transforms for Signal/Image Processing", IEEE Transactions on Image Processing, vol. 5, no. 10, October, 1997.
  8. W.Puech, J.-M.Chassery and I.Pitas, "Cylindrical Surface Localization in Monocular Vision", Pattern Recognition Letters, vol. 18, no.8, August, 1997.
  9. K.Sobottka and I.Pitas, "Looking for Faces and Facial Features in Color Images", Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, Russian Academy of Sciences, vol. 7, no. 1, pp. 124-137, 1997.
  10. K.Lyroudia, G.Mikrogeorgis, N.Nikopoulos, I.Pitas, G.Samakovitis and M.Karanika, "3D Computer-aided reconstruction of the morphology of teeth with malformations.", Medical Informatics Europe, pp. 482-486, 1997.

1996

  1. G.Angelopoulos and I.Pitas, "Fast parallel DSP algorithms on barrel shifter computers", IEEE Transactions on Signal Processing, vol. 44, no. 8, August, 1996.
  2. G.R.Arce, P.Maragos, Y.Neuvo and I.Pitas, "Guest Editorial Introduction to the Special Issue on Nonlinear Image Processing", IEEE Transactions on Image Processing, vol. 5, no. 6, June, 1996.
  3. A.Bors and I.Pitas, "Median Radial Basis Function Neural Network", IEEE Transactions on Neural Networks, vol. 7, no. 6, November, 1996.
  4. S.Cerutti, G.Carrault, P.J.M.Cluitmans, A.Kinie, T.Lipping, N.Nikolaidis, I.Pitas and M.G.Signorini, "Non-linear algorithms for processing biological signals", Computer Methods and Programs in Biomedicine, vol. 51, no. 1,2, October, 1996.
  5. D.Coltuc and I.Pitas, "Morphological Residual Representations of Signals", IEEE Trans on Image Processing, vol. 5, no.11, November, 1996.
  6. E.Kofidis, S.Theodoridis, C.Kotropoulos and I.Pitas, "Nonlinear Adaptive Filters for Speckle Suppression in Ultrasonic Images", ignal Processing, Elsevier, vol. 52, no. 3, August, 1996.
  7. C.Kotropoulos and I.Pitas, "Adaptive LMS L-filters for Noise Suppression in Images", IEEE Transactions on Image Processing, vol. 5, no. 12, December, 1996.
  8. N.Nikolaidis and I.Pitas, "Multichannel L-filters Based on Reduced Ordering", IEEE Transactions on Circuits and Systems for Video Technology, vol. 6, no. 5, October, 1996.
  9. I.Pitas and P.Kiniklis, "Multichannel techniques in color image enhancement and modeling", IEEE Transactions on Image Processing, vol. 5, no. 1, January, 1996.
  10. I.Pitas, C.Kotropoulos, N.Nikolaidis, R.Yang and M.Gabbouj, "Order Statistics Learning Vector Quantizer", IEEE Transactions on Image Processing, Special Issue on Nonlinear Image Processing, vol. 5, no. 6, June, 1996.

1995

  1. K.Lyroudia, N.Nikolaidis, I.Pitas and C.Palakidis, "Three computer methods to reconstruct pulpal blood vessels and nerves", Journal of Endodontics, vol. 21, no. 10, October, 1995.
  2. K.Lyroudia, C.Palakidis, A.Manthos, N.Nikolaidis, I.Pitas and C.Foroglou, "Computerized reconstruction of TEM examined pulpal blood vessels and nerves", Endodontics and Dental Traumatology, vol. 11, no. 4, pp. 189-195, 1995.

1994

  1. G.Angelopoulos and I.Pitas, "Multichannel Wiener filters in color image restoration", IEEE Transactions on Circuits and systems for video technology, vol. 4, no. 1, February, 1994.
  2. C.Kotropoulos, X.Magnisalis, I.Pitas and M.G.Strintzis, "Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks", IEEE Transactions on Image Processing, vol. 3, no. 1, January, 1994.
  3. C.Kotropoulos and I.Pitas, "Multichannel L-filters based on marginal data ordering", IEEE Transactions on Signal Processing, vol. 42, no. 10, October, 1994.
  4. N.Nikolaidis and I.Pitas, "Directional statistics in nonlinear vector field filtering", Signal Processing, pp. 299-316, 1994.
  5. I.Pitas, "Optimization and adaptation of discrete-valued digital filter parameters by simulated annealing", IEEE Transactions on Signal Processing, vol. 42, no. 4, April, 1994.

1993

  1. G.Angelopoulos and I.Pitas, "Two-dimensional FFT algorithms on hypercube and mesh machines", Signal Processing, vol. 30, no. 3, February, 1993.
  2. P.Ligdas and I.Pitas, "Parallel algorithms and architectures for two-dimensional butterfly-like transforms", Signal Processing, vol. 34, pp. 314-324, 1993.
  3. I.Pitas and A.N.Venetsanopoulos, "Knowledge-based image analysis for geophysical interpretation", Journal of Intelligent and robotic systems, vol. 7, pp. 115-137, 1993.
  4. K.Lyroudia, N.Nikolaidis, I.Pitas, P.Zervas and C.Palakidis, "Computerized three-dimensional reconstruction: a method to study pulpal vessels and nerves", Journal of Endodontics, vol. 19, no. 12, December, 1993.

1992

  1. C.Kotropoulos and I.Pitas, "Constained adaptive LMS L-filters", Signal Processing, vol. 26, no. 3, March, 1992.
  2. C.Kotropoulos and I.Pitas, "Optimum nonlinear signal detection and estimation in the presence of ultrasonic speckle", Ultrasonic Imaging, vol. 14, no. 3, July, 1992.
  3. I.Pitas, E.Milios and A.N.Venetsanopoulos, "A minimum entropy approach to rule learning from examples", IEEE Transactions on Systems, Man and Cybernetics, vol. 22, no. 4, July-August, 1992.
  4. I.Pitas and C.Kotropoulos, "A texture-based approach to the segmentation of seismic images", Pattern Recognition, vol. 25, no. 9, pp. 929-945, 1992.
  5. I.Pitas and A.N.Venetsanopoulos, "Order statistics in digital image processing", Proc. IEEE, vol. 80, December, 1992.
  6. I.Pitas and A.N.Venetsanopoulos, "Morphological shape representation", Pattern Recognition, vol. 25, no. 6, pp. 555-565, 1992.
  7. I.Pitas and A.N.Venetsanopoulos, "Digital image processing and analysis in remote sensing",1992.

1991

  1. I.Pitas and A.N.Venetsanopoulos, "Adaptive filters based on order statistics, IEEE Transactions on Acoustics", peech and Signal Processing, vol. ASSP-39, no. 2, February, 1991.
  2. I.Pitas and P.Tsakalides, "Multivariate ordering in color image filtering", IEEE Transactions on Circuits and Systems for Video Technology, vol. 1, no. 3, September, 1991.
  3. I.Pitas and A.Maglara, "Range Image analysis by using morphological signal decomposition", Pattern Recognition, vol. 24, no. 2, pp. 165-181, 1991.
  4. I.Pitas and N.Sidiropoulos, "Pattern recognition of binary image objects using morphological shape decomposition", Computer vision and image understanding, pp. 279-305, 1991.
  5. I.Pitas and S.Vougioukas, "LMS order statistics filter adaptation by backpropagation", Signal Processing, vol. 25, pp. 319-335, 1991.

1990

  1. I.Pitas and A.N.Venetsanopoulos, "Morphological shape decomposition", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-12, no. 1, January, 1990.
  2. I.Pitas, "Marginal order statistics in color image filtering", Optical Engineering, vol. 29, no. 5, invited paper, May, 1990.

1989

  1. I.Pitas, "Fast algorithms for running ordering and max/min selection", IEEE Transactions on Circuits and Systems, vol. CAS-36, no. 6, June, 1989.

1988

  1. I.Pitas and M.G.Strintzis, "Floating point error analysis of two-dimensional Fast Fourier Transform Algorithms", IEEE Transactions on Circuits and Systems, vol. CAS-35, no. 1, January, 1988.
  2. I.Pitas and A.N.Venetsanopoulos, "Bayesian estimation in seismic migration", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-36, no. 2, February, 1988.
  3. I.Pitas and A.N.Venetsanopoulos, "Bayesian estimation of medium properties in wavefield downward extrapolation problems", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-36, May, 1988.
  4. I.Pitas and A.N.Venetsanopoulos, "A new filter structure for the implementation of certain classes of image processing operations", IEEE Transactions on Circuits and Systems, vol. CAS-35, June, 1988.
  5. I.Pitas, "Markovian image models for image labeling and edge detection", Signal Processing, vol. 15, December, 1988.

1987

  1. I.Pitas and M.G.Strintzis, "Multidimensional cyclic convolution algorithms with minimal multiplicative complexity", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-35, no. 3, March, 1987.
  2. I.Pitas and M.G.Strintzis, "Algorithms for the reduction of the I-O operations in the calculation of the two-dimensional DFT", Signal Processing, vol. 12, pp. 277-289, 1987.
  3. I.Pitas and A.N.Venetsanopoulos, "Towards a knowledge-based system for automated geophysical interpretation of seismic data", Signal Processing, vol. 13, pp. 229-253, 1987.

1986

  1. I.Pitas and M.G.Strintzis, "General in-place calculation of Discrete Fourier Transforms of multidimensional sequences", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-34, no. 3, June, 1986.
  2. I.Pitas and A.N.Venetsanopoulos, "Nonlinear mean filters in image processing, IEEE Transactions on Acoustics", Speech and Signal Processing, vol. ASSP-34, no.3, June, 1986.
  3. I.Pitas and A.N.Venetsanopoulos, "Edge detectors based on nonlinear filters", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no.4, July, 1986.
  4. I.Pitas and A.N.Venetsanopoulos, "Nonlinear order statistic filters for image filtering and edge detection", Signal Processing, vol. 10, no.3, June, 1986.
  5. I.Pitas and A.N.Venetsanopoulos, "The use of symmetries in the design of multidimensional digital filters", IEEE Transactions on Circuits and Systems, vol. CAS-33, no. 10, September, 1986.
  6. I.Pitas and A.N.Venetsanopoulos, "Detection of wave reflectors and wave sources in the earth subsurface", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-34, no.5, October, 1986.

1985

  1. I.Pitas and M.G.Strintzis, "Algorithms and structures for convolutions over Galois fields, IEEE Transactions on Acoustics", Speech and Signal Processing, vol. ASSP-33, no. 2, April, 1985.
  2. I.Pitas and A.N.Venetsanopoulos, "Two-dimensional realization of digital filters by transform decomposition", IEEE Transactions on Circuits and Systems, vol. CAS-32, no. 10, October, 1985.
  3. I.Pitas and M.G.Strintzis, "Special algorithms for convolutions over Galois Fields", Discrete Mathematics, vol. 56, pp. 245-253, 1985.
  4. I.Pitas and A.N.Venetsanopoulos, "Transform decomposition in two-dimensional digital filter realization", IMACS transactions: special issue on Mathematics and Computers in Simulation, vol. 27, pp. 559-583, 1985.

1983

  1. I.Pitas and C.S.Burrus, "Speed and error analysis of digital convolutions algorithms using rectangular transforms", Signal Processing, vol. 5, March, 1983.

  1. I.Pitas, "Autonomous driving: Part 1-sensing and perception", IEEE Signal Processing Magazine, Volume 37, pp 11-13, .

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