Konstantinos I. Diamantaras

130 papers B 6C 5Misc 16Journal 61Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DK-PRACTICE: An Intelligent Platform for Knowledge Tracing and Educational Content Recommendation: A Case Study in Higher Education. Inf. Marina Delianidi, Konstantinos I. Diamantaras, Giorgos Kokkonis, Antonis Sidiropoulos, Georgios Evangelidis, Dimitrios Karapiperis
2026	J	`jnl`	Explainability for Fault Detection System in Chemical Processes. CoRR Georgios Gravanis, Dimitrios Kyriakou, Spyros Voutetakis, Simira Papadopoulou, Konstantinos I. Diamantaras
2026	J	`jnl`	From Textbook to Talkbot: A Case Study of a Greek-Language RAG-Based Chatbot in Higher Education. CoRR Maria Eleni Koutsiaki, Marina Delianidi, Chaido Mizeli, Konstantinos I. Diamantaras, Iraklis Grigoropoulos, Nikolaos Koutlianos
2026	J	`jnl`	Introducing DEFORMISE: A deep learning framework for dementia diagnosis in the elderly using optimized MRI slice selection. Biomed. Signal Process. Control. Nikolaos Ntampakis, Konstantinos I. Diamantaras, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis G. Sarigiannidis
2025	J	`jnl`	DK-PRACTICE: An Intelligent Educational Platform for Personalized Learning Content Recommendations Based on Students Knowledge State. CoRR Marina Delianidi, Konstantinos I. Diamantaras, Ioannis Moras, Antonis Sidiropoulos
2025	J	`jnl`	Enhancing Job Matching: Occupation, Skill and Qualification Linking with the ESCO and EQF taxonomies. CoRR Stylianos Saroglou, Konstantinos I. Diamantaras, Francesco Preta, Marina Delianidi, Apostolos Benisis, Christian Johannes Meyer
2025	C	`conf`	Fusion Grad-CAM: A Methodology for Generating Unified Attention Maps in Majority Voting Classifiers. IPAS Nikolaos Ntampakis, Konstantinos I. Diamantaras, Vasileios Argyriou, Panagiotis Sarigianndis
2025	—	`conf`	NeuroXVocal: Detection and Explanation of Alzheimer's Disease Through Non-Invasive Analysis of Picture-Prompted Speech. MICCAI (14) Nikolaos Ntampakis, Konstantinos I. Diamantaras, Ioanna Chouvarda, Magda Tsolaki, Panagiotis Sarigianndis, Vasileios Argyriou
2025	J	`jnl`	NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech. CoRR Nikolaos Ntampakis, Konstantinos I. Diamantaras, Ioanna Chouvarda, Magda Tsolaki, Vasileios Argyriou, Panagiotis Sarigianndis
2024	—	`conf`	Automatic Dataset Type Recognition for Association Rule Mining. SETN Konstantinos Malliaridis, Stefanos Ougiaroglou, Dimitris A. Dervos, Charalampos Bratsas, Antonis Sidiropoulos, Konstantinos I. Diamantaras
2024	J	`jnl`	Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population. CoRR Nikolaos Ntampakis, Konstantinos I. Diamantaras, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis Sarigianndis
2024	J	`jnl`	Learning local discrete features in explainable-by-design convolutional neural networks. CoRR Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras
2024	J	`jnl`	Machine learning methods for results merging in patent retrieval. Data Technol. Appl. Vasileios Stamatis, Michail Salampasis, Konstantinos I. Diamantaras
2024	—	`conf`	Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. MIUA (2) Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis G. Sarigiannidis
2023	—	`conf`	Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using Rethinking and Deep Neural Networks. DSP Evangelos Kostopoulos, Konstantinos I. Diamantaras, Ioanna Chouvarda, Magda Tsolaki
2023	C	`conf`	Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data. BIBE Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda
2022	Misc	`conf`	Automated Single-Label Patent Classification using Ensemble Classifiers. ICMLC Eleni Kamateri, Vasileios Stamatis, Konstantinos I. Diamantaras, Michail Salampasis
2022	J	`jnl`	Automated Single-Label Patent Classification using Ensemble Classifiers. CoRR Eleni Kamateri, Vasileios Stamatis, Konstantinos I. Diamantaras, Michail Salampasis
2022	—	`conf`	Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using EEG and Recurrent Neural Networks. EMBC Georgios Gkenios, Konstantina Latsiou, Konstantinos I. Diamantaras, Ioanna Chouvarda, Magda Tsolaki
2022	—	`conf`	Exploring Classification in Open and Closed Eyes EEG Data for People with Cognitive Disorders. BIOSIGNALS Ioanna Chouvarda, Lampros Mpaltadoros, Ioanna Boutziona, George Nikolaos Tsakonas, Magda Tsolaki, Konstantinos I. Diamantaras
2022	J	`jnl`	Fault detection and diagnosis for non-linear processes empowered by dynamic neural networks. Comput. Chem. Eng. Georgios Gravanis, Ioannis Dragogias, Konstantinos Papakiriakos, Chrysovalantou Ziogou, Konstantinos I. Diamantaras
2022	—	`conf`	NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience. IntelliSys (2) Alkiviadis Katsalis, Konstantinos Christantonis, Charalampos Tsioustas, Pantelis I. Kaplanoglou, Maximos Kaliakatsos-Papakostas, Athanasios Katsamanis, Konstantinos I. Diamantaras, Vassilis Katsouros, Evita F. Fotinea, Depy Panga, Dimitra Loupi
2022	J	`jnl`	Reinforcement Learning for Motion Policies in Mobile Relaying Networks. IEEE Trans. Signal Process. Spilios Evmorfos, Konstantinos I. Diamantaras, Athina P. Petropulu
2022	J	`jnl`	Semantically Enriched Augmented Reality Applications: A Proposed System Architecture and a Case Study. Int. J. Recent Contributions Eng. Sci. IT Georgios Lampropoulos, Euclid Keramopoulos, Konstantinos I. Diamantaras
2022	—	`conf`	Towards a DHH Accessible Theater: Real-Time Synchronization of Subtitles and Sign Language Videos with ASR and NLP Solutions. PETRA Grigoris Bastas, Maximos Kaliakatsos-Papakostas, Georgios Paraskevopoulos, Pantelis I. Kaplanoglou, Konstantinos Christantonis, Charalampos Tsioustas, Dimitris Mastrogiannopoulos, Depy Panga, Evita F. Fotinea, Athanasios Katsamanis, Vassilis Katsouros, Konstantinos I. Diamantaras, Petros Maragos
2021	J	`jnl`	A Graph-based Method for Session-based Recommendations. CoRR Marina Delianidi, Michail Salampasis, Konstantinos I. Diamantaras, Theodosios Siomos, Alkiviadis Katsalis, Iphigenia Karaveli
2021	Misc	`conf`	Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations. ICMLC Michail Salampasis, Theodosios Siomos, Alkiviadis Katsalis, Konstantinos I. Diamantaras, Konstantinos Christantonis, Marina Delianidi, Iphigenia Karaveli
2021	—	`conf`	Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks. SPAWC Spilios Evmorfos, Konstantinos I. Diamantaras, Athina P. Petropulu
2021	—	`conf`	Double Deep Q Learning with Gradient Biasing for Mobile Relay Beamforming Networks. ACSCC Spilios Evmorfos, Konstantinos I. Diamantaras, Athina P. Petropulu
2021	Misc	`conf`	Learning to Select for Mimo Radar Based on Hybrid Analog-Digital Beamforming. ICASSP Zhaoyi Xu, Fan Liu, Konstantinos I. Diamantaras, Christos Masouros, Athina P. Petropulu
2021	C	`conf`	Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks. DATA Konstantinos I. Diamantaras, Michail Salampasis, Alkiviadis Katsalis, Konstantinos Christantonis
2021	B	`conf`	Student Performance Prediction Using Dynamic Neural Models. EDM Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis
2021	J	`jnl`	Student Performance Prediction Using Dynamic Neural Models. CoRR Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis
2020	—	`conf`	A Graph-based Method for Session-based Recommendations. PCI Marina Delianidi, Michail Salampasis, Konstantinos I. Diamantaras, Theodosios Siomos, Alkiviadis Katsalis, Iphigenia Karaveli
2020	—	`conf`	Dynamic k-NN Classification Based on Region Homogeneity. ADBIS (Short Papers) Stefanos Ougiaroglou, Georgios Evangelidis, Konstantinos I. Diamantaras
2020	J	`jnl`	Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review. Vis. Informatics Georgios Lampropoulos, Euclid Keramopoulos, Konstantinos I. Diamantaras
2020	Misc	`conf`	Q-Learning Based Predictive Relay Selection for Optimal Relay Beamforming. ICASSP Anastasios Dimas, Konstantinos I. Diamantaras, Athina P. Petropulu
2019	Misc	`conf`	A Reinforcement Learning Approach for Mobile Beamforming. ACSSC Anastasios Dimas, Konstantinos I. Diamantaras, Athina P. Petropulu
2019	J	`jnl`	Behind the cues: A benchmarking study for fake news detection. Expert Syst. Appl. Georgios Gravanis, Athena Vakali, Konstantinos I. Diamantaras, Panagiotis Karadais
2019	C	`conf`	Classification of Sleep Stages for Healthy Subjects and Patients with Minor Sleep Disorders. BIBE Christos Timplalexis, Konstantinos I. Diamantaras, Ioanna Chouvarda
2019	J	`jnl`	Contactless Monitoring of Critical Infrastructure [From the Guest Editors]. IEEE Signal Process. Mag. Athina P. Petropulu, Konstantinos I. Diamantaras, Zhu Han, Dusit Niyato, Saman A. Zonouz
2019	B	`conf`	Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy. WI Eleni Partalidou, Eleftherios Spyromitros Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras
2019	J	`jnl`	Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy. CoRR Eleni Partalidou, Eleftherios Spyromitros Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras
2019	—	`conf`	Fast Tree-Based Classification via Homogeneous Clustering. IDEAL (1) George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, Georgios Evangelidis
2019	—	`conf`	Optimal Mobile Relay Beamforming Via Reinforcement Learning. MLSP Konstantinos I. Diamantaras, Athina P. Petropulu
2019	J	`jnl`	Side-Channel-Based Code-Execution Monitoring Systems: A Survey. IEEE Signal Process. Mag. Yi Han, Ioannis Christoudis, Konstantinos I. Diamantaras, Saman A. Zonouz, Athina P. Petropulu
2018	J	`jnl`	CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. IEEE Trans. Neural Networks Learn. Syst. Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
2018	J	`jnl`	Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. Neurocomputing Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis
2018	B	`conf`	Margin-Based Sample Filtering for Image Classification Using Convolutional Neural Networks. ICIP Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras
2017	J	`jnl`	Emerging Trends in Machine Learning for Signal Processing. Comput. Intell. Neurosci. George A. Papakostas, Konstantinos I. Diamantaras, Francesco A. N. Palmieri
2017	J	`jnl`	Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm. J. Parallel Distributed Comput. George A. Papakostas, Konstantinos I. Diamantaras, Theophilos Papadimitriou
2017	J	`jnl`	Sentiment analysis leveraging emotions and word embeddings. Expert Syst. Appl. Maria Giatsoglou, Manolis G. Vozalis, Konstantinos I. Diamantaras, Athena Vakali, George Sarigiannidis, Konstantinos Ch. Chatzisavvas
2016	Misc	`conf`	Adaptive margin slack minimization in RKHS for classification. ICASSP Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
2016	—	`conf`	Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. MLSP Konstantinos I. Diamantaras, Sun-Yuan Kung
2016	Misc	`conf`	Efficient Support Vector Machine Classification Using Prototype Selection and Generation. AIAI Stefanos Ougiaroglou, Konstantinos I. Diamantaras, Georgios Evangelidis
2016	—	`conf`	Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. MLSP Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
2015	J	`jnl`	A comparison of machine learning techniques for customer churn prediction. Simul. Model. Pract. Theory Thanasis Vafeiadis, Konstantinos I. Diamantaras, George Sarigiannidis, Konstantinos Ch. Chatzisavvas
2015	—	`conf`	A metaheuristic bandwidth allocation scheme for FiWi networks using Ant Colony Optimization. SCVT Panagiotis G. Sarigiannidis, Malamati D. Louta, Georgios I. Papadimitriou, Petros Nicopolitidis, Konstantinos I. Diamantaras, Ilenia Tinnirello, Christos V. Verikoukis
2015	J	`jnl`	Efficient binary classification through energy minimisation of slack variables. Neurocomputing Margarita Kotti, Konstantinos I. Diamantaras
2015	J	`jnl`	Machine Learning Sentiment Prediction based on Hybrid Document Representation. CoRR Panagiotis Stalidis, Maria Giatsoglou, Konstantinos I. Diamantaras, George Sarigiannidis, Konstantinos Ch. Chatzisavvas
2015	J	`jnl`	Market sentiment and exchange rate directional forecasting. Algorithmic Finance Vasilios Plakandaras, Theophilos Papadimitriou, Periklis Gogas, Konstantinos I. Diamantaras
2014	Misc	`conf`	Analyzing data into quantized components. ICASSP Konstantinos I. Diamantaras, Theophilos Papadimitriou, Konstantinos Goulianas
2014	—	`conf`	Efficient data classification by GPU-accelerated linear mean squared slack minimization. MLSP George A. Papakostas, Konstantinos I. Diamantaras
2014	—	`conf`	Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. EUSIPCO Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
2013	—	`conf`	Blind identification of PAM-MIMO systems based on the distribution of output differences. EUSIPCO Konstantinos I. Diamantaras, Theophilos Papadimitriou
2013	J	`jnl`	Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources. IEEE Trans. Signal Process. Konstantinos I. Diamantaras, Gabriela Vranou, Theophilos Papadimitriou
2013	—	`conf`	Ridge-adjusted Slack Variable Optimization for supervised classification. MLSP Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung
2012	Misc	`conf`	Binary classification by minimizing the mean squared slack. ICASSP Konstantinos I. Diamantaras, Margarita Kotti
2012	—	`conf`	Towards minimizing the energy of slack variables for binary classification. EUSIPCO Margarita Kotti, Konstantinos I. Diamantaras
2011	J	`jnl`	Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances. J. Signal Process. Syst. Konstantinos I. Diamantaras, Theophilos Papadimitriou
2011	Misc	`conf`	Blind separation of multiple binary sources from one nonlinear mixture. ICASSP Konstantinos I. Diamantaras, Theophilos Papadimitriou, Gabriela Vranou
2011	J	`jnl`	Trends in Machine Learning for Signal Processing [In the Spotlight]. IEEE Signal Process. Mag. Tülay Adali, David J. Miller, Konstantinos I. Diamantaras, Jan Larsen
2010	—	`ed.`	Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I ICANN (1) Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis
2010	—	`ed.`	Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III ICANN (3) Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis
2010	—	`ed.`	Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II ICANN (2) Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis
2010	J	`jnl`	From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing. J. Signal Process. Syst. Markos Zampoglou, Theophilos Papadimitriou, Konstantinos I. Diamantaras
2010	J	`jnl`	Guest Editorial: Special Issue on Machine Learning for Signal Processing. J. Signal Process. Syst. Ioannis Pitas, Vince D. Calhoun, Konstantinos I. Diamantaras
2010	—	`conf`	Motion Descriptors for Semantic Video Indexing. SIGMAP Markos Zampoglou, Theophilos Papadimitriou, Konstantinos I. Diamantaras
2010	Misc	`conf`	Separating two binary sources from a single nonlinear mixture. ICASSP Konstantinos I. Diamantaras, Konstantinos Papadimitriou
2009	J	`jnl`	Applying PCA neural models for the blind separation of signals. Neurocomputing Konstantinos I. Diamantaras, Theophilos Papadimitriou
2009	—	`conf`	Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures. ICA Konstantinos I. Diamantaras, Theophilos Papadimitriou
2008	J	`jnl`	An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems. IEEE Trans. Signal Process. Konstantinos I. Diamantaras, Theophilos Papadimitriou
2008	J	`jnl`	Blind system identification: instantaneous mixtures of Int. J. Comput. Math. Nikos Kofidis, Athanasios Margaris, Konstantinos I. Diamantaras, Manos Roumeliotis
2007	—	`conf`	Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics. ICASSP (3) Konstantinos I. Diamantaras, Theophilos Papadimitriou
2006	—	`conf`	A channel deflation approach for the blind deconvolution of a complex FIR channel with real input. EUSIPCO Konstantinos I. Diamantaras, Theophilos Papadimitriou, Efthimios Kotsialos
2006	J	`jnl`	A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture. Signal Process. Konstantinos I. Diamantaras
2006	J	`jnl`	Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources. IEEE Trans. Signal Process. Konstantinos I. Diamantaras, Theophilos Papadimitriou
2006	B	`conf`	Greek Named Entity Recognition using Support Vector Machines, Maximum Entropy and Onetime. LREC Ionas Michailidis, Konstantinos I. Diamantaras, Spiros Vasileiadis, Yannick Frère
2006	J	`jnl`	Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures. IEEE Trans. Signal Process. Konstantinos I. Diamantaras, Theophilos Papadimitriou
2005	—	`conf`	Blind deconvolution of multi-input single-output systems with binary sources. ICASSP (3) Konstantinos I. Diamantaras, Theophilos Papadimitriou
2005	—	`conf`	Blind separation of reflections using the image mixtures ratio. ICIP (2) Konstantinos I. Diamantaras, Theophilos Papadimitriou
2004	—	`conf`	Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening. ICA Konstantinos I. Diamantaras, Theophilos Papadimitriou
2004	—	`conf`	MIMO blind deconvolution using subspace-based filter deflation. ICASSP (4) Konstantinos I. Diamantaras, Theophilos Papadimitriou
2004	J	`jnl`	Video scene segmentation using spatial contours and 3-D robust motion estimation. IEEE Trans. Circuits Syst. Video Technol. Theophilos Papadimitriou, Konstantinos I. Diamantaras, Michael G. Strintzis, Manos Roumeliotis
2003	J	`jnl`	Blind MIMO FIR channel identification based on second-order spectra correlations. IEEE Trans. Signal Process. Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
2003	—	`conf`	Blind signal separation using oriented PCA neural models. ICASSP (2) Konstantinos I. Diamantaras, Theophilos Papadimitriou
2003	J	`jnl`	On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics. IEEE Trans. Signal Process. Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
2003	—	`conf`	Temporal filtering and oriented PCA neural networks for blind source separation. NNSP Konstantinos I. Diamantaras, Theophilos Papadimitriou
2002	J	`jnl`	Blind channel identification based on the geometry of the received signal constellation. IEEE Trans. Signal Process. Konstantinos I. Diamantaras
2002	J	`jnl`	Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments. J. Digit. Inf. Michail Salampasis, Konstantinos I. Diamantaras
2002	Misc	`conf`	On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics. ICASSP Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
2002	J	`jnl`	Subspace design of low-rank estimators for higher-order statistics. J. Frankl. Inst. Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
2001	C	`conf`	Blind Source Separation Using Principal Component Neural Networks. ICANN Konstantinos I. Diamantaras
2001	—	`conf`	Blind identification of linear channels using the data constellation geometry. ISSPA Konstantinos I. Diamantaras
2001	—	`conf`	Occlusion resistant object tracking. ICIP (2) Evangelos Loutas, Ioannis Pitas, Konstantinos I. Diamantaras
2000	B	`conf`	A Novel Rigid Object Segmentation Method Based on Multiresolution 3-D Motion and Luminance Analysis. ICIP Theophilos Papadimitriou, Konstantinos I. Diamantaras, Michael G. Strintzis, Manos Roumeliotis
2000	Misc	`conf`	Blind separation of multiple binary sources using a single linear mixture. ICASSP Konstantinos I. Diamantaras
2000	J	`jnl`	Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics. IEEE Trans. Signal Process. Konstantinos I. Diamantaras, Athina P. Petropulu, Binning Chen
2000	J	`jnl`	Optimal reconstruction from quantized data. Signal Process. Image Commun. Konstantinos I. Diamantaras, Michael G. Strintzis, Iordanis Sarafidis
2000	J	`jnl`	Robust estimation of rigid-body 3-D motion parameters based on point correspondences. IEEE Trans. Circuits Syst. Video Technol. Theophilos Papadimitriou, Konstantinos I. Diamantaras, Michael G. Strintzis, Manos Roumeliotis
1999	B	`conf`	Adaptive blind MIMO system identification using principal component neural models. IJCNN Konstantinos I. Diamantaras, Athina P. Petropulu
1999	Misc	`conf`	Blind equalization of multiuser CDMA channels: a frequency-domain approach. ICASSP Konstantinos I. Diamantaras, Athina P. Petropulu
1999	J	`jnl`	Optimal linear compression under unreliable representation and robust PCA neural models. IEEE Trans. Neural Networks Konstantinos I. Diamantaras, Kurt Hornik, Michael G. Strintzis
1999	J	`jnl`	Optimal transform coding in the presence of quantization noise. IEEE Trans. Image Process. Konstantinos I. Diamantaras, Michael G. Strintzis
1999	Misc	`conf`	Robust estimation of rigid body 3-D motion parameters from point correspondences. ICASSP Theophilos Papadimitriou, Konstantinos I. Diamantaras, Michael G. Strintzis, Manos Roumeliotis
1998	J	`jnl`	ECG pattern recognition and classification using non-linear transformations and neural networks: A review. Int. J. Medical Informatics Nicos Maglaveras, Telemachos Stamkopoulos, Konstantinos I. Diamantaras, Costas Pappas, Michael G. Strintzis
1998	J	`jnl`	Neural classifiers using one-time updating. IEEE Trans. Neural Networks Konstantinos I. Diamantaras, Michael G. Strintzis
1998	J	`jnl`	Robust hebbian learning and noisy principal component analysis. Int. J. Comput. Math. Konstantinos I. Diamantaras
1998	—	`conf`	Second order Hebbian neural networks and blind source separation. EUSIPCO Konstantinos I. Diamantaras
1998	—	`conf`	Total Least Squares 3-D Motion Estimation. ICIP (1) Konstantinos I. Diamantaras, Theophilos Papadimitriou, Michael G. Strintzis, Manos Roumeliotis
1997	J	`jnl`	A Linear Systolic Array for Real-Time Morphological Image Processing. J. VLSI Signal Process. Konstantinos I. Diamantaras, Sun-Yuan Kung
1997	Misc	`conf`	Noisy PCA theory and application in filter bank codec design. ICASSP Konstantinos I. Diamantaras, Michael G. Strintzis
1996	—	`conf`	Camera motion parameter recovery under perspective projection. ICIP (3) Konstantinos I. Diamantaras, Michael G. Strintzis
1996	J	`jnl`	Dynamic programming implementation on array processor architectures. J. VLSI Signal Process. Konstantinos I. Diamantaras, W. H. Chou, Sun-Yuan Kung
1996	—	`conf`	Robust principal component extracting neural networks. ICNN Konstantinos I. Diamantaras
1994	J	`jnl`	Adaptive Principal component EXtraction (APEX) and applications. IEEE Trans. Signal Process. Sun-Yuan Kung, Konstantinos I. Diamantaras, Jin-Shiuh Taur
1994	J	`jnl`	Cross-correlation neural network models. IEEE Trans. Signal Process. Konstantinos I. Diamantaras, Sun-Yuan Kung
1994	J	`jnl`	Multilayer neural networks for reduced-rank approximation. IEEE Trans. Neural Networks Konstantinos I. Diamantaras, Sun-Yuan Kung
1991	J	`jnl`	A new transition count method for testing of logic circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Konstantinos I. Diamantaras, Niraj K. Jha
1990	—	`conf`	Implementation of Neural Network Algorithms on the P ICPP (1) Konstantinos I. Diamantaras, David L. Heine, Isaac D. Scherson