Artificial Intelligence & Information Analysis

2020

  1. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj 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.
  2. F. Laakom, N. Passalis, J. Raitoharju, J. Nikkanen, A.Tefas, A.Iosifidis and M. Gabbouj, "Bag of Color Features for Color Constancy", IEEE Transactions on Image Process, pp 7722-7734, 2020.
  3. A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Using Deep Learning for price prediction by exploiting stationary limit order book features", Applied Soft Computing, 2020.
  4. M. Krestenitis, N. Passalis, A.Iosifidis, M. Gabbouj and A.Tefas, "Recurrent Bag-of-Features for Visual Information Analysis", Pattern Recognition, 2020.
  5. N. Passalis, A.Iosifidis, M. Gabbouj 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.

2019

  1. N. Passalis, A.Iosifidis, M. Gabbouj and A.Tefas, "Variance-preserving deep metric learning for content-based image retrieval", Pattern Recognition Letters, pp. 8-14, 2019.
  2. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Deep Adaptive Input Normalization for Time Series Forecasting", IEEE Transactions on Neural Networks and Learning Systems, pp. 1-6, 2019.
  3. P. Nousi, A. Tsantekidis, N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj and A.Iosifidis, "Machine Learning for Forecasting Mid Price Movement Using Limit Order Book Data", IEEE Access, 2019.

2018

  1. 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).
  2. N. Passalis, A.Tefas, J. Kanniainen, M. Gabbouj 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.

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).

2016

  1. A.Iosifidis, A.Tefas and I.Pitas, "Approximate kernel extreme learning machine for large scale data classification", Neurocomputing, 2016.
  2. A.Iosifidis, A.Tefas and I.Pitas, "Graph Embedded Extreme Learning Machine", IEEE Transactions on Cybernetics, pp. 311-324, 2016.
  3. 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.
  4. 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.
  5. 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).

2015

  1. 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).
  2. A.Iosifidis, A.Tefas and I.Pitas, "On the Kernel Extreme Learning Machine Classifier", Pattern Recognition Letters, pp. 11-17, 2015.
  3. A.Iosifidis, A.Tefas and I.Pitas, "DropELM: Fast Neural Network Regularization with Dropout and DropConnect", Neurocomputing, pp. 57-66, 2015 (Code).
  4. A.Iosifidis, A.Tefas and I.Pitas, "Distance-based Human Action Recognition using optimized class representations", Neurocomputing, pp. 47-55, 2015 (Code).
  5. A.Iosifidis, A.Tefas and I.Pitas, "Sparse Extreme Learning Machine classifier exploiting Intrinsic Graphs", Pattern Recognition Letters, pp. 192-196, 2015.
  6. 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.
  7. 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.

2014

  1. A.Iosifidis, A.Tefas and I.Pitas, "Regularized Extreme Learning Machine for Multi-view Semi-supervised Action Recognition", Neurocomputing, pp. 250-262, 2014.
  2. 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).
  3. A.Iosifidis, A.Tefas and I.Pitas, "Kernel Reference Discriminant Analysis", Pattern Recognition Letters, pp. 85-91, 2014 (Code).

2013

  1. 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).
  2. 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.
  3. 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.
  4. 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).
  5. 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.
  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.

2012

  1. 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.
  2. 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.
  3. 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.

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors and by other copyright holders, notwithstanding that they have offered their works here electronically. It is only allowed to copy this information if you adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Some of the articles in this web site are copyrighted by IEEE and the following notice applies: © 1980-2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

©  2024 AIIA LAB. Built using WordPress and the Highlight Theme