N. Ntampakis, K. Diamantaras, I. Chouvarda, M. Tsolaki, V. Argyriou, P. Sarigianndis, "NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech", in Proceedings 28th International Conference on Medical Image Computing and Computer Assisted Intervention, (MICCAI 2025), 23-27 Sept. 2025, Daejeon, S. Korea, 2025
N. Ntampakis, K. Diamantaras, V. Argyriou, P. Sarigiannidis, "Fusion Grad-CAM: A Methodology for Generating Unified Attention Maps in Majority Voting Classifiers," IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS), 1-6, IEEE, https://doi.org/10.1109/IPAS63548.2025.10924480, 2025
N. Ntampakis, K. Diamantaras, K. Goulianas, I. Chouvarda, V. Argyriou, P. Sarigiannidis, "Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction", in Yap, M.H., Kendrick, C., Behera, A., Cootes, T., Zwiggelaar, R. (eds) Annual Conference on Medical Image Understanding and Analysis MIUA, 323-335, Lecture Notes in Computer Science, vol 14860. Springer, Cham. https://doi.org/10.1007/978-3-031-66958-3_24, 2024
K. Malliaridis, S. Ougiaroglou, D.A. Dervos, C. Bratsas, A. Sidiropoulos, Κ. Diamantaras, "Automatic Dataset Type Recognition for Association Rule Mining", SETN '24: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, article no. 15, pp. 1 - 8, https://doi.org/10.1145/3688671.3688767, 2024
G. Kyros, I. Manolas, K. Diamantaras, S. Dafis, K. Lagouvardos, "A Machine Learning Approach for Rainfall Nowcasting Using Numerical Model and Observational Data", Proceedings of 16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP, Environmental Sciences Proceedings 26 (1), 11, MDPI, https://doi.org/10.3390/environsciproc2023026011, 2023
E. Kostopoulos, K. Diamantaras, I. Chouvarda, M. Tsolaki, "Diagnosis of Alzheimer’s disease and Mild Cognitive Impairment using Rethinking and Deep Neural Networks", 2023 24th International Conference on Digital Signal Processing (DSP), 1-5, 2023
N. Ntampakis, K. Diamantaras, K. Goulianas, I. Chouvarda, "Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data", 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE), pp. 364-368, Dayton, OH, USA, doi: 10.1109/BIBE60311.2023.00066, 2023
A. Katsalis, K. Christantonis, C. Tsioustas, P. I. Kaplanoglou, M. Kaliakatsos-Papakostas, A. Katsamanis, K. Diamantaras, V. Katsouros, E. Fotinea, D. Panga, D. Loupi. NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-16078-3_35.
G. Gkenios, K. Latsiou, K. Diamantaras, I. Chouvarda, and M. Tsolaki, "Diagnosis of Alzheimer’s disease and Mild Cognitive Impairment using EEG and Recurrent Neural Networks", to appear, IEEE Int. Conf. Engineering in Medicine and Biology Society, Glasgow, Scotland, 11-15 July, https://doi.org/10.1109/EMBC48229.2022.9871302, 2022
G. Bastas, M. Kaliakatsos-Papakostas, G. Paraskevopoulos, P. Kaplanoglou, K. Christantonis, C. Tsioustas, D. Mastrogiannopoulos, D. Panga, E. Fotinea, A. Katsamanis, V. Katsouros, K. Diamantaras, P. Maragos, "Towards a DHH Accessible Theater: Real-Time Synchronization of Subtitles and Sign Language Videos with ASR and NLP Solutions", Proc. 15th Int. Conf. on PErvasive Technologies Related to Assistive ENvironments (PETRA-2022), Corfu, Greece, 2022
I. Chouvarda, L. Mpaltadoros, I. Boutziona, G. Tsakonas, M. Tsolaki, and K. Diamantaras. "Exploring Classification in Open and Closed Eyes EEG Data for People with Cognitive Disorders". In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pp. 298-305, ISBN 978-989-758-552-4, DOI: 10.5220/0011010100003123, 2022
Α. Katsalis, Κ. Christantonis, Ch. Tsioustas, P. I. Kaplanoglou, M. Kaliakatsos-Papakostas, A. Katsamanis, K. Diamantaras, V. Katsouros, E. Fotinea, D. Panga, and D. Loupi, "NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience", to appear in Proc. Intelligent Systems Conference (IntelliSys 2022), Amsterdam, The Netherlands, 1-2 September 2022
S. Evmorfos, K. I. Diamantaras, A. Petropulu, "Double Deep Q Learning with Gradient Biasing for Mobile Relay Beamforming Networks", in Asilomar Conference on Signals, Systems, and Computers, , pp. 742-746, Oct. 31th - Nov 3rd, Pacific Grove, CA, USA, 2021
S. Evmorfos, K. Diamantaras, A. Petropulu, "Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks", in Proceedings, 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC-2021), Sept. 27-30, 2021
M. Delianidi, K. I. Diamantaras, G. Chrysogonidis, V. Nikiforidis, "Student Performance Prediction Using Dynamic Neural Models", in Proc. 14th Int. Conf. Educational Data Mining, I-Han (Sharon) Hsiao, Shaghayegh (Sherry) Sahebi, Francois Bouchet, Jill-Jenn Vie (eds), pp. 46-54, June 29 - July 2, 2021
K. I. Diamantaras, M. Salampasis, A. Katsalis, K. Christantonis, "Predicting shopping intent of e-commerce users using LSTM recurrent neural networks", In Proceedings 10th Int. Conf. Data Science, Technology and Applications (DATA2021), ISBN 978-989-758-521-0, pages 252-259. July 6-8, 2021, DOI: 10.5220/0010554102520259
Z. Xu, F. Liu, K. I. Diamantaras, C. Masouros, A. Petropulu, "Learning to Select for Mimo Radar Based on Hybrid Analog-Digital Beamforming", 2021 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), pp. 8228-8232, Toronto, 6-11 June, 2021
M. Salampasis, Th. Siomos, A. Katsalis, K. I. Diamantaras, K. Christantonis, M. Delianidi, P. Kaplanoglou, I. Karaveli, G. Stalidis, "Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations", in 13th Int. Conf. Machine Learning and Computing (ICMLC 2021), pp. 477-484, Shenzhen, China, 26 Feb.-1 March 2021
A. Dimas, K. I. Diamantaras, A. Petropulu, "Q-Learning Based Predictive Relay Selection for Optimal Relay Beamforming", in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP-2020), Barcelona, May 4-8, 2020
S. Ougiaroglou, G. Evangelidis, K. I. Diamantaras, "Dynamic k-NN classification based on subspace homogeneity", 24th European Conference on Advances in Databases and Information Systems (ADBIS-2020), (virtual conference) August 25-27, 2020
C. Tsioustas, D. Petratou, M. Kaliakatsos-Papakostas, V. Katsouros, K. Christantonis, K. I. Diamantaras, M. Loupis, "Innovative Applications of Natural Language Processing and Digital Media in Theatre and Performing Arts", In Proceedings of the ENTRENOVA-ENTerprise REsearch InNOVAtion Conference, Virtual Conference, vol. 6, pp. 84-96, 10-12 September 2020 . Zagreb: IRENET-Society for Advancing Innovation and Research in Economy.
M. Salampasis, Th. Siomos, A. Katsalis, K. I. Diamantaras, K. Christantonis, M. Delianidi, P. Kaplanoglou, I. Karaveli, G. Stalidis, "Embeddings Methods for Next item and Last basket Session based Recommendations", in 7th International Conference on Artificial Intelligence (ICOAI-2020), Full virtual conference, 14-16 Oct. 2020
M. Delianidi, M. Salampasis, K. I. Diamantaras, Th. Siomos, A. Katsalis, I. Karaveli, "A Graph-based Method for Session-based Recommendations", Proc. 24nd Pan-Hellenic Conference on Informatics with International Participation (PCI 2020), Virtual conference, pp. 264-267, DOI:10.1145/3437120.3437321, 20-22 Nov. 2020
E. Partalidou, E. Spyromitros-Xioufis, S. Doropoulos, S. Vologiannidis, K. I. Diamantaras, "Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy", IEEE/WIC/ACM Int. Conf. Web Intelligence, Thessaloniki, Greece, Oct. 14-17, 2019
G. Stalidis, K. I. Diamantaras, "Offers just for you: intelligent recommendation of personalised offers employing multidimensional statistical models", Proc. 7th Int. Conf. Contemporary Marketing Issues, pp. 297-299, Heraklion, Greece, 10-12 July, 2019
K. I. Diamantaras, A. Petropulu, "Optimal Mobile Relay Beamforming via Reinforcement Learning", Proc. IEEE Int. Workshop on Machine Learning for Signal Processing, (MLSP-2019), Pittsburgh, PS, USA, Oct. 13-16, 2019
G. Pardis, K. I. Diamantaras, S. Ougiaroglou, G. Evangelidis, "Fast tree-based classification via homogeneous clustering", in: Yin H., Camacho D., Tino P., Tallon-Ballesteros A., Menezes R., Allmendinger R. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2019. Lecture Notes in Computer Science, vol 11871, pp. 514-524, Springer, Cham, https://doi.org/10.1007/978-3-030-33607-3_55
G. Stalidis, P. Kaplanoglou, K. I. Diamantaras, "Multidimensional data analysis of shopping records towards knowledge-based recommendation techniques", 16th Conference of the Int. Federation of Classification Societies (IFCS2019), Thessaloniki, 26-29 August, 2019
C. Timplalexis, K. I. Diamantaras, I. Chouvarda, "Classification of Sleep Stages for Healthy Subjects and Patients With Minor Sleep Disorders", Proc. 19th IEEE Int. Conf. BioInformatics and BioEngineering (BIBE2019), Athens, Greece, 28-20 Oct., 2019
A. Dimas, K. I. Diamantaras, A. Petropulu, "A Reinforcement Learning Approach for Mobile Beamforming", Asilomar Conference on Signals, Systems and Computers, Pacific Grove, 2019
P. Kaplanoglou, K. I. Diamantaras, "Margin-based Sample Filtering for Image Classification using Convolutional Neural Networks", Proc. Int. Conf. Image Processing (ICIP 2018), pp. 1-5, Athens, Greece, Oct. 2018
D. Botsis, P. Latinopoulos, K. I. Diamantaras, "Comparison of Stochastic and Machine Learning Models in Streamflow Forecasting", in Proc. Int. Conf. Protection and Restoration of the Environment XIV (PRE XIV), Thessaloniki, Greece, July 2018
K. Tziridis, Th. Kalampokas, G. A. Papakostas, K. I. Diamantaras, "Airfare Prices Prediction Using Machine Learning Techniques", in Proc. 25th European Signal Processing Conf. (EUSIPCO 2017), Kos, Greece, pp. 1036-1039, 28 Aug-2 Sept. 2017
Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Adaptive Margin Slack Minimization in RKHS for Classification", in Proceedings, 41st IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP2016), pp. 2319-2323, Shanghai, China, March 2016
S. Ougiaroglou, K. I. Diamantaras, G. Evangelidis, "Efficient Support Vector Machine Classification using Prototype Selection and Generation", in Proc. Artificial Intelligence Applications and Innovations (AIAI 2016), pp. 328-340, Thessaloniki, 16-18 Sept. 2016
K. I. Diamantaras, S. Y. Kung, "Data Privacy Protection By Kernel Subspace Projection And Generalized Eigenvalue Decomposition", in Proc. IEEE Int. Workshop Machine Learning for Signal Processing, (MLSP2016) , Vietri Sul Mare, Italy, Sept. 13-16, 2016
Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Enhanced Distance Subset Approximation Using Class-Specific Subspace Kernel Rerpesentation for Kernel Approximation", in Proc. IEEE Int. Workshop Machine Learning for Signal Processing, (MLSP2016) , Vietri Sul Mare, Italy, Sept. 13-16, 2016
P. Sarigiannidis, M. Louta, G. Papadimitriou, P. Nicopolitidis, K. I. Diamantaras, I. Tinnirello, C. Verikoukis, "A Metaheuristic Bandwidth Allocation Scheme for FiWi Networks Using Ant Colony Optimization", 22nd IEEE Symposium on Communications and Vehicular Technology (SCVT 2015), Luxembourg, November 24, 2015
K. I. Diamantaras, Th. Papadimitriou, K. Goulianas, "Analyzing Data into Quantized Components", in Proc. IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP-2014), pp. 6252-6256, Florence, Italy, May 2014
Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Multiclass Ridge-adjusted Slack Variable Optimization Using Selected Basis for Fast Classification", in proceedings 22nd European Signal Processing Conference (EUSIPCO 2014), Lisbon, Portugal, Sept. 2014
G. A. Papakostas, K. I. Diamantaras, "Efficient Data Classification By Gpu-Accelerated Linear Mean Squared Slack Minimization", in Proc. IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP2014), Reims France, Sept. 2014
K. I. Diamantaras, Th. Papadimitriou, "Blind Identification of PAM-MIMO Systems Based on the Distribution of Output Differences", in Proc. 21st European Signal Processing Conference, EUSIPCO Marrakech, Morocco, 9-13 Sept., 2013
Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "Ridge-adjusted Slack Variable Optimization for Supervised Classification", in Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP-2013), Southampton, Sept. 2013.
K. I. Diamantaras, M. Kotti, "Binary Classification by Minimizing the Mean Squared Slack", in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP-2012), pp. 2057-2060, Kyoto, Japan, March, 2012
D. Botsis, P. Latinopoulos, K. I. Diamantaras, "Investigation of the Effect of Interception and Evapotranspiration on the Rainfall-runoff Relationship Using Bayesian Networks", in Proc. Protection and Restoration of the Environment XI, Thessaloniki, Greece, July 2012
M. Kotti, K. I. Diamantaras, "Towards Minimizing the Energy of Slack Variables for Binary Classification", in Proc. EUSIPCO 2012 (20th European Signal Processing Conference), pp. 644-648, Bucharest, Romania, August 27-31, 2012
K. I. Diamantaras, Th. Papadimitriou, G. Vranou, "Blind separation of multiple binary sources from one nonlinear mixture", in Proc. Int. Conf. Acoustics, Speech, Signal Processing (ICASSP-2011), pp. 2108-2111, Prague, Czechia, May 2011.
D. Botsis, P. Latinopoulos, K. I. Diamantaras, "Rainfall-runoff modeling using support vector regression and artificial neural networks", in Proc. 12th International Conference on Environmental Science and Technology (CEST2011), Rhodes, Greece, 8 - 10 September 2011.
Δ. Μπότσης, Π. Λατινόπουλος, Κ. Διαμαντάρας, "Προσομοίωση βροχόπτωσης – απορροής με τη χρήση της παλινδρόμησης των μηχανών διανυσμάτων υποστήριξης", Πρακτικά 15ου Πανελλήνιου Δασολογικού συνεδρίου, Καρδίτσα, 16-19 Οκτωβρίου 2011
K. I. Diamantaras, Th. Papadimitriou, "Blind Separation of Three Binary Sources From One Nonlinear Mixture", in Proc. 2010 Int. Workshop on Machine Learning for Signal Processing, MLSP-2010, Kittila, Finland, August 29-Sept. 1. 2010
K. I. Diamantaras, Th. Papadimitriou, "Separating two Binary Sources from a Single Nonlinear Mixture", in Proc. Int. Conf. Acoustics Speech Signal Processing (ICASSP 2010), Dallas, TX, March 14-19, 2010
M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "Motion descriptors for semantic video indexing", in Proc. 2010 International Conference on Signal Processing and Multimedia Applications (SIGMAP), pp. 178-184, Athens, Greece, 26-28 July 2010
K. I. Diamantaras, Th. Papadimitriou, "Blind MISO Deconvolution Using the Distribution of Output Differences", in Proc. 2009 Int. Workshop on Machine Learning for Signal Processing, MLSP-2009, Grenoble, France, Sept. 2009.
K. I. Diamantaras, Th. Papadimitriou, "Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures", Lecture Notes on Computer Sience (LNCS) vol. 5441, Proc. 8th Int. Conference on Independent Component Analysis and Blind Signal Separation (ICA2009), Paraty, Brazil, March 15-18, pp. 227-234, Springer, 2009.
K. I. Diamantaras, "Blind Separation of two multi-level sources from a single linear mixture", in Proc. 18th IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2008), Cancun, Mexico, October, 2008
M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "Integrating Motion and Color for Content Based Video Classification", in Proc. 2008 IAPR Workshop on Cognitive Information Processing, Santorini, Greece, June, 2008
M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "Support Vector Machines Content-Based Video Retrieval based solely on Motion Information", in Proc. 17th IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2007), Thessaloniki, Greece, August, 2007
A. Margaris, K. I. Diamantaras, "A parallel implementation of the Natural Gradient BSS method using MPI", 2nd International Conference on Experiments/Process/System Modeling/Simulation & Optimization (2nd IC-EpsMsO), Athens, 4-7 July, 2007
K. I. Diamantaras, Th. Papadimitriou, "Analytical Solution of the Blind identification Problem for Multichannel FIR Systems Based on Second Order Statistics", in Proc. 2007 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2007), vol. III, pp. 749-752, Honolulu, Hawaii, USA, April 2007
K. I. Diamantaras, Th. Papadimitriou, "Blind Multichannel Deconvolution Using Subspace-Based Single Delay Channel Deflation", 12th IEEE Digital Signal Processing Workshop (DSP'2006), Wyoming, USA, Sept. 2006.
Th. Papadimitriou, K. I. Diamantaras, "Channel Shortening Of Multi-Input Multi-Output Convolutive Systems With Binary Sources", in Proc. 2006 IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2006), pp. 271-276, Maynooth, Ireland, Sept. 2006.
K. I. Diamantaras, Th. Papadimitriou, E. Kotsialos, "A Channel Deflation Approach for the Blind Deconvolution of a Complex FIR Channel With Real Input", in Proc. 14 th European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, Sept., 2006.
I. Michailidis, K. I. Diamantaras, S. Vasileiadis, Y. Frere, "Greek Named Entities Recognition using Support Vector Machines, Maximum Entropy Models and Onetime", in Proceedings 5th International Conference on Language Resources and Evaluation (LREC), pp. 47-52, Genova, Italy, 24-26 May, 2006
I. Michailidis, K. I. Diamantaras, S. Vasileiadis, "Greek Named Entity Recognition using Support Vector Machines", in Proceedings 7th International Conference in Greek Linguistics (ICGL), York, UK, 8-10 Sept, 2005
K. I. Diamantaras, Th. Papadimitriou, "Blind Separation of Reflections Using the Image Mixtures Ratio", in Proc. IEEE Int. Conf. Image Processing (ICIP-2005), vol. II, pp. 1034-1037, Genova, Italy, Sept. 2005
K. I. Diamantaras, I. Michailidis, S. Vasileiadis, "A Very Fast and Efficient Linear Classification Algorithm", in Proc. 2005 IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP-2005), Mystic, CT, USA, Sept. 2005
K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of Multi-Input Single-Output Systems with Binary Sources", in Proc. 2005 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2005), vol. III, pp. 549-552, Philadelphia, PA, USA, March 2005
K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of SISO Systems with Binary Source based on Recursive Channel Shortening", in Fifth Int. Conference on Independent Component Analysis and Blind Signal Separation (ICA2004), Lecture Notes in Computer Science, Vol. 3195, C.G. Puntonet and A. Prieto, Eds., Granada, Spain, pp. 548-553, Springer, September 2004
K. I. Diamantaras, Th. Papadimitriou, "MIMO Blind Deconvolution Using Subspace-based Filter Deflation", in Proc. 2004 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2004), Montreal, May 2004.
K. I. Diamantaras, Th. Papadimitriou, "Temporal Filtering and Oriented PCA Neural Networks for Blind Source Separation", in Proc. 13th IEEE International Workshop on Neural Networks for Signal Processing, pp. 369-378, Toulouse France, Sept. 2003
K. I. Diamantaras, Th. Papadimitriou, "Blind Signal Separation Using Oriented PCA Neural Models", in Proc. 2003 IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2003), vol. II, pp. 733-736, Hong-Kong, April 2003
K. I. Diamantaras, Th. Papadimitriou, "Oriented PCA and Blind Signal Separation", in Proc. Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA-2003), pp. 609-614, Nara, Japan, April 2003
I. Bradaric, A. Petropulu, K. I. Diamantaras, "On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics", in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2002), pp. 2889-2892, Orlando, FL, May 2002.
E. Loutas, C. Nikou, K. I. Diamantaras, I. Pitas, "Efficient Occlusion Handling Region Tracking", 1st IEEE International Symposium on Signal Processing and Information Technology (ISSPIT-2001), Cairo, Egypt, Dec. 28-30, 2001.
E. Loutas, K. I. Diamantaras, I. Pitas, "Occlusion resistant object tracking", 8th IEEE International Conference on Image Processing (ICIP-2001), Thessaloniki, Greece, Oct. 7-10, 2001.
K. I. Diamantaras, "Blind source separation using Principal Component Neural Networks", International Conference on Artificial Neural Networks (ICANN-2001), Vienna, Austria, August 21-25, 2001.
I. Bradaric, A. Petropulu, K. I. Diamantaras, "A second-order statistics-based optimization approach for blind MIMO system identification", 11th IEEE Workshop on Statistical Signal Processing (SSP-2001), Singapore, Aug. 6-10, 2001.
K. I. Diamantaras, "PCA Neural Models and Blind Signal Separation", International Joint Conference on Neural Networks (IJCNN-2001), Washington DC, July 15-19, 2001.
Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, "A novel rigid object segmentation method based on multiresolution 3-D motion and luminance analysis", in Proc. Int. Conf. Image Processing (ICIP-2000), Vancouver, Canada, Sept. 10-13, 2000.
K. I. Diamantaras, E. Chassioti, "Blind Separation of n Binary Sources from one Observation: A Deterministic Approach", in Proc. 2nd Int. Workshop on Independent Component Analysis and Blind Source Separation (ICA-2000), pp. 93-98, Helsinki, June 19-22, 2000.
K. I. Diamantaras, "Blind Separation of Multiple Binary Sources using a Single Linear Mixture", in Proc. Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-2000), vol. V, pp. 2889-2892, Istanbul, Turkey, June 2000.
I. Bradaric, A. Petropulu, K. I. Diamantaras, "Blind nxn MIMO System Estimation using Second Order Statistics", 34th Annual Conference on Information Sciences and Systems (CISS-2000), Princeton University, March 2000.
Κ. Διαμαντάρας, Ι. Κομπατσιάρης, Μ. Γ. Στρίντζης, "Προσομοίωση στην εκπαίδευση προσωπικού με χρήση εικονικής πραγματικότητας", πρακτικά Διημερίδας Πληροφορικής & Επιχειρησιακής Έρευνας στις Ένοπλες Δυνάμεις, Πολεμικό Μουσείο, Αθήνα, 2-3 Νοεμβρίου, 1999.
B. Chen, A. Petropulu, K. I. Diamantaras, "Error Analysis of a SOS-Based MIMO System Identification Algorithm", in Proc. 33rd Asilomar Conf. on Signals Systems and Computers, Pacific Grove, CA, Oct. 24-27, 1999.
Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "A New Image Sequence Segmentation Method based on Luminance and 3-D Motion Information", in Proc. Int. Workshop on Synthetic - Natural Hybrid Coding and Three Dimensional Imaging (IWSNHC3DI-99), pp. 53-57, Santorini, Greece, Sept. 15-17, 1999.
K. I. Diamantaras, A. Petropulu, "Adaptive blind MIMO system identification using Principal Component neural models", in Proc. Int. Joint Conf. Neural Networks (IJCNN-99), Washington-DC, July 1999.
K. I. Diamantaras, A. Petropulu, "Blind Equalization of Multiuser CDMA Channels", in Proc. 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications, (SPAWC-99), Annapolis, MD, 1999.
Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "Robust Estimation of Rigid Body 3-D Motion Parameters From Point Correspondences", in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-99), Phoenix, AZ, 1999.
K. I. Diamantaras, A. Petropulu, "Blind Equalization of Multiuser CDMA Channels: A Frequency-Domain Approach", in the IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP-99), Phoenix, AZ, 1999.
K. I. Diamantaras, A. Petropulu, "Blind Two-Input-Two-Output FIR Channel Estimation and Source Separation", in Proc. IEEE Information Theory Workshop on Detection, Estimation, Classification and Imaging (DECI-99), Santa Fe, New Mexico (USA), February 24-26, 1999.
K. I. Diamantaras, Th. Papadimitriou, M. G. Strintzis, M. Roumeliotis, "Total Least Squares 3-D Motion Estimation", in Proceedings IEEE International Conf. Image Processing (ICIP-98), Chicago, Oct. 1998.
K. I. Diamantaras, M. G. Strintzis, "Optimal Reconstruction from Quantized Data", Proceedings HERCMA-98, 1998
K. I. Diamantaras, "Asymmetric PCA Neural Networks for Adaptive Blind Source Separation", in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP-98), pp. 103-112, Cambridge, UK, August 1998.
K. I. Diamantaras, "Second Order Hebbian Neural Networks and Blind Source Separation", in Proc. EUSIPCO-98 (European Signal Processing Conference), vol. III, pp.1317-1320, Rhodes, Greece, Sept. 1998.
K. I. Diamantaras, M. G. Strintzis, "Blind Source Separation in the Presence of Measurement Noise", in Proc. CISS'98 (Conference on Information Sciences and Systems), pp. 1001-1006, Princeton, NJ, March 1998.
K. I. Diamantaras, E. Bacharakis, I. Kamilatos, M. G. Strintzis, N. Maglaveras, A. Armaganidis, "Signal Integration and Tele-cooperation in a Critical Care Unit", in Proceedings IEEE EMBS-97 (Conference of the IEEE-Engineering in Medicine and Biology Society), Chicago, IL, Oct 30-Nov 2, 1997.
T. Stamkopoulos, N. Maglaveras, K. I. Diamantaras, M. G. Strintzis, "Ischemia Classification Techniques Using An Advanced Neural Network Algorithm", in Proc. IEEE Computers in Cardiology, Lund, Sweden, Sept. 7-10, 1997.
K. I. Diamantaras, M. G. Strintzis, "Nonlinear Neural Classifiers with Synaptic Weight Commitment", in Proceedings IEEE International Symposium on Circuits and Systems (ISCAS-97), pp. 653-656, Hong-Kong, June 9-12, 1997.
K. I. Diamantaras, M. G. Strintzis, "Optimal Subband Coder Design Using Noisy PCA", in Proc. First European Conference on Signal Analysis and Prediction (ECSAP-97), pp. 315-318, Prague, June 24-27, 1997.
K. I. Diamantaras, M. G. Strintzis, "Noisy PCA Theory and Application in Filter Bank Codec Design", in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP-97), pp. 3857-3860, Munich, May 21-24, 1997.
N. Maglaveras, M. G. Strintzis, K. I. Diamantaras, T. D. Doukoglou, A. Armaganidis, I. Chouvarda, "IHIS : An integrated hospital environment linking via LAN ICU with PACS and Biochemical Laboratories", in Proceedings IEEE Computers in Cardiology 1996, pp. 589-592, Indianapolis, IN, Sept. 8-11, 1996.
K. I. Diamantaras, T. Stamkopoulos, N. Maglaveras, M. G. Strintzis, "ST Segment Nonlinear Principal Component Analysis for Ischemia Detection", in Proceedings IEEE Computers in Cardiology 1996, pp. 493-496, Indianapolis, IN, Sept. 8-11, 1996.
K. I. Diamantaras, M. G. Strintzis, "Camera Motion Parameter Recovery under Perspective Projection", in Proc. IEEE Int. Conf. Image Processing (ICIP-96), vol. III, pp. 807-810, Lausanne, Switzerland, Sept. 16-19, 1996.
K. I. Diamantaras, "Robust Principal Component Extracting Neural Networks", in Proc. Int. Conf. Neural Networks (ICNN-96), pp.74-77, Washington DC, June 3-6, 1996.
K. I. Diamantaras, T. D. Doukoglou, I. Kamilatos, N. Maglaveras, M. G. Strintzis, A. Armaganidis, "Critical Care Unit Information Integration System", in Proc. 10th Int. Symp. Computer Assisted Radiology (CAR-96), pp. 480-483, Paris, June 26-29, Elsevier, 1996.
K. I. Diamantaras, N. Grammalidis, M. G. Strintzis, "KLT-based coding of Stereo Image Sequences", presented in the International Workshop on Image Processing, Budapest, 1994, and published in the Journal of Communications, no. 45, pp. 20-23, May-June 1994.
D. Geiger, K. I. Diamantaras, "Occlusion ambiguities in motion", in Computer Vision - ECCV '94, Proc. 3rd European Conf. in Computer Vision, Sweden, J.-O. Eklundh (ed.), vol. I, pp. 175-180, published by Springer-Verlag, Lecture Notes in Computer Science Series, vol. 800, 1994.
K. I. Diamantaras, D. Geiger, "Resolving Motion Ambiguities", in Advances in Neural Information Processing Systems 6 (NIPS-93), Denver, Colorado, J. Cowan, G. Tesauro, and J. Alspector (eds.), pp. 977-984, Morgan Kaufmann, 1994.
K. I. Diamantaras, S. Y. Kung, "Compressing Moving Pictures Using the APEX Neural Principal Component Extractor", in Proc. 3rd IEEE Workshop Neural Networks for Signal Processing, IEEE, Baltimore, September 1993.
K. I. Diamantaras, K. Hornik, "Noisy Principal Component Analysis", in Measurement '93, pp. 25-33, J. Volaufova and V. Witkowsky eds., Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, May 1993.
K. I. Diamantaras, A. Chihoub, A. Zawadzki, "Scalable Architectures for Image Processing", in Proc. SPIE Conf. Machine Vision Applications, Architectures, and System Integration II, pp. 2-13, Boston 1993.
W. H. Chou, K. I. Diamantaras, S. Y. Kung, "Implementing Dynamic Programming Algorithms for Signal and Image Processing on Array Processors", in VLSI Signal Processing VI, L. D. J. Eggermont et. al. (eds), pp. 289-297, Proceedings IEEE Workshop, Koningshof, Veldhoven, Netherlands, IEEE, NY, October 1993.
S. Y. Kung, K. I. Diamantaras, "Neural Networks for Extracting Unsymmetric Principal Components", in Proc. 1st IEEE Workshop on Neural Networks for Signal Processing, pp. 50-59, Princeton, NJ, September 1991.
K. I. Diamantaras, S. Y. Kung, "An Unsupervised Neural Model for Oriented Principal Component Extraction", in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP-91), pp. 1049-1052, Toronto, Canada, May 14-17, 1991.
K. I. Diamantaras, D. L. Heine, I. D. Scherson, "Implementation of Neural Network Algorithms on the P3 Parallel Associative Processor", in Proc. Int. Conf. Parallel Processing (ICPP-90), pp. 247-250, St. Charles IL, August 13-17, 1990.
K. I. Diamantaras, N. K. Jha, "A New Transition Count Method for Testing of Combinational Circuits", in Proceedings 13-th Int. Conf. Fault-Tolerant Systems and Diagnostics, pp. 218-224, Varna, Bulgaria, June 20-22, 1990.
K. I. Diamantaras, K. H. Zimmermann, S. Y. Kung, "Integrated Fast Implementation of Mathematical Morphology Operations in Image Processing", in Proc. IEEE Int. Symp. Circuits and Systems, pp. 1442-1445, New Orleans, May 1990.
S. Y. Kung, K. I. Diamantaras, "A Neural Network Learning Algorithm for Adaptive Principal Component Extraction (APEX)", in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP-90), pp. 861-864, Albuquerque, NM., April 1990.