Artificial Intelligence & Information Analysis

2022

  1. N. Passalis, S. Pedrazzi, R. Babuska, W. Burgard, D. Dias, F. Ferro, M. Gabbouj, O. Green, A.Iosifidis, E. Kayacan, J. Kober, O. Michel, N.Nikolaidis, P. Nousi, R. Pieters, M. Tzelepi, A. Valada and A.Tefas, "OpenDR: An open toolkit for enabling high performance, low footprint deep learning for robotics", in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 12479-12484, Oct, 2022.

2020

  1. M. Krestenitis, N. Passalis, A.Iosifidis, M. Gabbouj and A.Tefas, "Human Action Recognition using Recurrent Bag-of-Features Pooling", 25th International Conference on Pattern Recognition, 2020.

2019

  1. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Deep Temporal Logistic Bag-of-Features for Forecasting High Frequency Limit Order Book Time Series", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.

2017

  1. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M.Gabbouj and A.Iosifidis, "Forecasting Stock Prices from the Limit Order Book using Convolutional Neural Networks", Proceedings of the IEEE Conference on Business Informatics (CBI), 2017.
  2. N. Passalis, A. Tsantekidis, A.Tefas, J. Kanniainen, M.Gabbouj and A.Iosifidis, "Time-series Classification Using Neural Bag-of-Features", Proceedings of the European Signal Processing Conference (EUSIPCO), 2017.
  3. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M.Gabbouj and A.Iosifidis, "Using Deep Learning to Detect Price Change Indications in Financial Markets.", Proceedings of the European Signal Processing Conference (EUSIPCO), 2017.

2016

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Laplacian One Class Extreme Learning Machines for Human Action Recognition", IEEE Workshop on Multimedia Signal Processing (MMSP), 2016.
  2. A.Iosifidis, A.Tefas, I.Pitas and M.Gabbouj, "A review of approximate methods for kernel-based Big Media Data Analysis", European Signal Processing Conference (EUSIPCO), 2016.
  3. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "One Class Classification applied in facial image analysis", IEEE International Conference on Image Processing (ICIP), 2016.
  4. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Kernel Subclass Support Vector Description for Face and Human Action Recognition", International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE), 2016.

2015

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Exploiting Subclass Information in One-class Support Vector Machine for Video Summarization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 19-24 April, 2015.
  2. N.Tsapanos, A.Tefas, N.Nikolaidis, A.Iosifidis and I.Pitas, "Fast Kernel Matrix Computation for Big Data Clustering", International Conference on Computational Science (ICCS), 2015.
  3. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Large-scale classification by an Approximate Least Squares One-Class Support Vector Machine ensemble", IEEE International Conference on Big Data Science and Engineering (BigDataSE), 2015.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Nearest Class Vector Classification for Large-Scale Learning Problems", IEEE International Conference on Big Data Science and Engineering (BigDataSE), 2015.
  5. A.Iosifidis, A.Tefas and I.Pitas, "Class-specific nonlinear subspace learning based on optimized class representation", European Signal Processing Conference (EUSIPCO), 2015.
  6. A.Iosifidis, A.Tefas and I.Pitas, "Regularized Extreme Learning Machine for large-scale media content analysis", International Neural Network Society (INNS) Conference on Big Data, 2015.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Merging Linear Discriminant Analysis with Bag of Words model for Human Action Recognition", IEEE International Conference on Image Processing (ICIP), 2015.
  8. A.Iosifidis, A.Tefas and I.Pitas, "Large-scale nonlinear facial image classification based on Approximate Kernel Extreme Learning Machine", IEEE International Conference on Image Processing (ICIP), 2015.
  9. A.Iosifidis, A.Tefas and I.Pitas, "Enhancing Class Discrimination in Kernel Discriminant Analysis", IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP), 19-24 April, 2015.
  10. A.Iosifidis, A.Tefas and I.Pitas, "Enhancing ELM-based facial image classification by exploiting multiple facial views", International Conference on Computational Science (ICCS), 2015.
  11. A.Iosifidis, A.Tefas and I.Pitas, "Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information", Studies in Computational Intelligence, pp 351-364, November 2015, Revised selected paper from IJCCI2014, 2015.
  12. F. Patrona, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Visual voice activity detection based on spatiotemporal information and bag of words", IEEE International Conference on Image Processing (ICIP), pp. 2334-2338, 2015.

2014

  1. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Supervised video summarization by content-based video segment selection” (short)", European Conference on Visual Media Production (CVMP), 2014.
  2. A.Iosifidis, A.Tefas and I.Pitas, "Computational Intelligence Approaches for Digital Media Analysis and Description", Euro-China Conference on Intelligent Data Analysis and Applications (ECC), 2014.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Human Action Recognition in Stereoscopic Videos based on Bag of Features and Disparity Pyramids", European Signal Processing Conference (EUSIPCO), 2014.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Minimum Variance Extreme Learning Machine for Human Action Recognition", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 (Code).
  5. A.Iosifidis, A.Tefas and I.Pitas, "Semi-supervised classification of human actions based on Neural Networks", IEEE International Conference on Pattern Recognition (ICPR), 2014.
  6. A.Iosifidis, A.Tefas and I.Pitas, "Human Action Recognition based on Bag of Features and Multi-view Neural Networks", IEEE International Conference on Image Processing (ICIP), 2014.
  7. A.Iosifidis, A.Tefas and I.Pitas, "Exploiting Local Class Information in Extreme Learning Machine", International Joint Conference on Computational Intelligence (IJCCI): International Conference on Neural Computation Theory and Applications (NCTA), 2014 (Code).
  8. N. Kourous, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Video Characterization based on Activity Clustering", International Conference on Electrical and Computer Engineering (ICECE), 2014.
  9. M. Ivasic-Kos, A.Iosifidis, A.Tefas and I.Pitas, "Person De-identification in Activity Videos", IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014.
  10. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view Regularized Extreme Learning Machine for Human Action Recognition", Conference on Artificial Intelligence (SETN): Methods and Applications, 2014.
  11. V. Mygdalis, A.Iosifidis, A.Tefas and I.Pitas, "Video summarization based on subclass Support Vector Data Description", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence for Engineering Solutions, 2014.
  12. I. Mademlis, A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Stereoscopic Video Description for Human Action Recognition", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence for Multimedia, Signal and Vision Processing, 2014.

2013

  1. A.Iosifidis, A.Tefas and I.Pitas, "Dynamic Action Classification based on Iterative Data Selection and Feedforward Neural Networks", European Signal Processing Conference (EUSIPCO), 2013.
  2. A.Iosifidis, A.Tefas and I.Pitas, "Active Classification for Human Action Recognition", IEEE International Conference on Image Processing (ICIP), 2013.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view human action recognition: a review", IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), 2013.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Representative Class Vector Clustering based Discriminant Analysis", IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), 2013.
  5. A.Iosifidis, A.Tefas and I.Pitas, "View-independent Human Action Recognition based on Multi-view Action Images and Discriminant Learning", IEEE Image, Video and Multidimensional Signal Processing (IVMSP): 3D Image/Video Technologies and Applications, 2013.
  6. A.Iosifidis, A.Tefas and I.Pitas, "Person Identification from Actions based on Dynemes and Discriminant Learning", IEEE International Workshop on Biometrics and Forensics (IWBF), 2013.
  7. A.Tefas, A.Iosifidis and I.Pitas, "Neural Networks for Digital Media Analysis and Description", Engineering Applications of Neural Networks (EANN), 2013.
  8. A.Iosifidis, A.Tefas and I.Pitas, "Person Identification from Actions based on Artificial Neural Networks", IEEE Symposium Series on Computational Intelligence (SSCI): Computational Intelligence in Biometrics and Identity Management, 2013.

2012

  1. A.Iosifidis, A.Tefas and I.Pitas, "Multi-view Human Action Recognition Under Occlusion Based on Fuzzy Distances and Neural Networks", Proc. 2012 European Signal Processing Conference, August 27-31, 2012.
  2. A.Iosifidis, E.Marami, A.Tefas and I.Pitas, "Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2012), March, 2012.
  3. A.Iosifidis, A.Tefas and I.Pitas, "Discriminant Action Representation for View-Invariant Person Identification", Proc. IEEE 2012 International Conference on Image Processing, September 30 - October 3, 2012.
  4. A.Iosifidis, A.Tefas and I.Pitas, "Neural representation and learning for multi-view human action recognition", 2012 IEEE International Joint Conference on Neural Networks (IJCNN), ΙΕΕΕ World Congress on Computational Intelligence, June 15-20, 2012.

2011

  1. A.Iosifidis, A.Tefas, N.Nikolaidis and I.Pitas, "Learning Human Identity Using View-Invariant Multi-view Movement Representation", Biometrics and ID Management workshop, Springer LNCS, March, 2011.
  2. A.Iosifidis, A.Tefas and I.Pitas, "Person specific activity recognition using fuzzy learning and discriminant analysis", European Signal Processing Conference (EUSIPCO2011), August, 2011.

2010

  1. A.Iosifidis, N.Nikolaidis and I.Pitas, "Movement recognition exploiting multi-view information", IEEE International Workshop on Multimedia Signal Processing, October, 2010.

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