Konstantinos I. Diamantaras

发表

Applying PCA neural models for the blind separation of signals

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2009, Neurocomputing.

Airfare prices prediction using machine learning techniques

Konstantinos I. Diamantaras, George A. Papakostas, K. Tziridis, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Margin-Based Sample Filtering for Image Classification Using Convolutional Neural Networks

Konstantinos I. Diamantaras, Pantelis I. Kaplanoglou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Adaptive margin slack minimization in RKHS for classification

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A metaheuristic bandwidth allocation scheme for FiWi networks using Ant Colony Optimization

Christos V. Verikoukis, Ilenia Tinnirello, Petros Nicopolitidis, 2015, 2015 IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).

A new transition count method for testing of logic circuits

Niraj K. Jha, Konstantinos I. Diamantaras, 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

Blind separation of multiple binary sources from one nonlinear mixture

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Gabriela Vranou, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Proceedings of the 20th international conference on Artificial neural networks: Part III

Lazaros S. Iliadis, Konstantinos I. Diamantaras, Wlodek Duch, 2010 .

Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2011, J. Signal Process. Syst..

Sentiment analysis leveraging emotions and word embeddings

Athena Vakali, Konstantinos I. Diamantaras, Manolis G. Vozalis, 2017 .

Separating two binary sources from a single nonlinear mixture

Konstantinos I. Diamantaras, Konstantinos Papadimitriou, K. Diamantaras, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A second-order statistics-based optimization approach for blind MIMO system identification

Athina P. Petropulu, Konstantinos I. Diamantaras, I. Bradaric, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

Emerging Trends in Machine Learning for Signal Processing

Francesco Palmieri, Konstantinos I. Diamantaras, George A. Papakostas, 2017, Computational Intelligence and Neuroscience.

Blind signal separation using oriented PCA neural models

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Robust estimation of rigid-body 3-D motion parameters based on point correspondences

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2000, IEEE Trans. Circuits Syst. Video Technol..

Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics

Athina P. Petropulu, Konstantinos I. Diamantaras, Binning Chen, 2000, IEEE Trans. Signal Process..

Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2006, IEEE Trans. Signal Process..

Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments

Konstantinos I. Diamantaras, Michail Salampasis, K. Diamantaras, 2006, J. Digit. Inf..

CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2018, IEEE Trans. Neural Networks Learn. Syst..

Blind Source Separation Using Principal Component Neural Networks

Konstantinos I. Diamantaras, K. Diamantaras, 2001, ICANN.

On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics

Athina P. Petropulu, Konstantinos I. Diamantaras, Ivan Bradaric, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind equalization of multiuser CDMA channels: a frequency-domain approach

Athina P. Petropulu, Konstantinos I. Diamantaras, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

A channel deflation approach for the blind deconvolution of a complex FIR channel with real input

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Efthimios Kotsialos, 2006, 2006 14th European Signal Processing Conference.

Greek Named Entities Recognition using Support Vector Machines, Maximum Entropy Models and Onetime

Konstantinos I. Diamantaras, Ionas Michailidis, Spiros Vasileiadis, 2006 .

Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2004, ICA.

Machine Learning Sentiment Prediction based on Hybrid Document Representation pdf

Konstantinos I. Diamantaras, Maria Giatsoglou, George Sarigiannidis, 2015, ArXiv.

Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Total least squares 3-D motion estimation

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Michael G. Strintzis, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Occlusion ambiguities in motion

Konstantinos I. Diamantaras, Davi Geiger, 1994, ECCV.

Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2005, IEEE Transactions on Signal Processing.

Dynamic k-NN Classification Based on Region Homogeneity

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2020, ADBIS.

Blind separation of reflections using the image mixtures ratio

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2005, IEEE International Conference on Image Processing 2005.

A novel rigid object segmentation method based on multiresolution 3-D motion and luminance analysis

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Analyzing data into quantized components

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Konstantinos Goulianas, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Tree-Based Classification via Homogeneous Clustering

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2019, IDEAL.

An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2008, IEEE Transactions on Signal Processing.

Ridge-adjusted Slack Variable Optimization for supervised classification

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Occlusion resistant object tracking

Ioannis Pitas, Konstantinos I. Diamantaras, Evangelos Loutas, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2009, ICA.

Asymmetric PCA neural networks for adaptive blind source separation

Konstantinos I. Diamantaras, K. Diamantaras, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Implementing dynamic programming algorithms for signal and image processing on array processors

Konstantinos I. Diamantaras, S. Y. Kung, W. H. Chou, 1993, Proceedings of IEEE Workshop on VLSI Signal Processing.

Blind system identification: instantaneous mixtures of n sources

Konstantinos I. Diamantaras, Manos Roumeliotis, Athanasios Margaris, 2008, Int. J. Comput. Math..

Blind channel identification based on the geometry of the received signal constellation

Konstantinos I. Diamantaras, 2002, IEEE Trans. Signal Process..

Market Sentiment and Exchange Rate Directional Forecasting

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Periklis Gogas, 2015, Algorithmic Finance.

PCA neural models and blind signal separation

Konstantinos I. Diamantaras, K. Diamantaras, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Binary classification by minimizing the mean squared slack

Konstantinos I. Diamantaras, Margarita Kotti, K. Diamantaras, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Guest Editorial: Special Issue on Machine Learning for Signal Processing

Ioannis Pitas, Vince D. Calhoun, Konstantinos I. Diamantaras, 2010, J. Signal Process. Syst..

Neural nonlinear classifiers with synaptic weight commitment

Konstantinos I. Diamantaras, M. G. Strintzis, 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2017, Neurocomputing.

Integrated fast implementation of mathematical morphology operations in image processing

Sun-Yuan Kung, Konstantinos I. Diamantaras, K. H. Zimmermann, 1990, IEEE International Symposium on Circuits and Systems.

Kernel subspace learning for pattern classification

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2018 .

An unsupervised neural model for oriented principal component extraction

Sun-Yuan Kung, Konstantinos I. Diamantaras, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Neural Networks and Principal Component Analysis

Konstantinos I. Diamantaras, K. Diamantaras, 2018, Handbook of Neural Network Signal Processing.

Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Blind equalization of multiuser CDMA channels: a frequency-domain approach

Athina P. Petropulu, Konstantinos I. Diamantaras, I. Bradaric, 1999, 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).

A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture

Konstantinos I. Diamantaras, K. Diamantaras, 2006, Signal Process..

Blind identification of PAM-MIMO systems based on the distribution of output differences

Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Ischemic classification techniques using an advanced neural network algorithm

Konstantinos I. Diamantaras, Nikos Maglaveras, T. Stamkopoulos, 1997, Computers in Cardiology 1997.

Robust hebbian learning and noisy principal component analysis

Konstantinos I. Diamantaras, 1998, Int. J. Comput. Math..

Contactless Monitoring of Critical Infrastructure [From the Guest Editors]

Zhu Han, Athina P. Petropulu, Saman A. Zonouz, 2019, IEEE Signal Process. Mag..

Greek Named Entity Recognition using Support Vector Machines, Maximum Entropy and Onetime

Konstantinos I. Diamantaras, Ionas Michailidis, Spiros Vasileiadis, 2006, LREC.

Video scene segmentation using spatial contours and 3-D robust motion estimation

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

Noisy PCA theory and application in filter bank codec design

Michael G. Strintzis, Konstantinos I. Diamantaras, M. Strintzis, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing

Markos Zampoglou, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2010, J. Signal Process. Syst..

Robust estimation of rigid body 3-D motion parameters from point correspondences

Michael G. Strintzis, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

A neural network learning algorithm for adaptive principal component extraction (APEX)

Sun-Yuan Kung, Konstantinos I. Diamantaras, S. Kung, 1990, International Conference on Acoustics, Speech, and Signal Processing.

A Linear Systolic Array for Real-Time Morphological Image Processing

Sun-Yuan Kung, Konstantinos I. Diamantaras, S. Kung, 1997, J. VLSI Signal Process..

On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics

Athina P. Petropulu, Konstantinos I. Diamantaras, Ivan Bradaric, 2002, ICASSP.

Behind the cues: A benchmarking study for fake news detection

Athena Vakali, Konstantinos I. Diamantaras, Georgios Gravanis, 2019, Expert Syst. Appl..

Motion descriptors for semantic video indexing

Markos Zampoglou, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2010, 2010 International Conference on Signal Processing and Multimedia Applications (SIGMAP).

Editorial for the special issue ICANN-2010

Lazaros S. Iliadis, Konstantinos I. Diamantaras, K. Diamantaras, 2011, Neural Networks.

Dynamic programming implementation on array processor architectures

Sun-Yuan Kung, Konstantinos I. Diamantaras, W. H. Chou, 1996, J. VLSI Signal Process..

Principal Component Neural Networks: Theory and Applications

Sun-Yuan Kung, Konstantinos I. Diamantaras, S. Kung, 1996 .

Efficient data classification by GPU-accelerated linear mean squared slack minimization

Konstantinos I. Diamantaras, George A. Papakostas, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Subspace design of low-rank estimators for higher-order statistics

Athina P. Petropulu, Konstantinos I. Diamantaras, Ivan Bradaric, 2002, J. Frankl. Inst..

A comparison of machine learning techniques for customer churn prediction

Konstantinos I. Diamantaras, Thanasis Vafeiadis, George Sarigiannidis, 2015, Simul. Model. Pract. Theory.

Optimal linear compression under unreliable representation and robust PCA neural models

Michael G. Strintzis, Kurt Hornik, Konstantinos I. Diamantaras, 1999, IEEE Trans. Neural Networks.

Second order Hebbian neural networks and blind source separation

Konstantinos I. Diamantaras, K. Diamantaras, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

ECG pattern recognition and classification using non-linear transformations and neural networks: A review

Michael G. Strintzis, Nicos Maglaveras, Konstantinos I. Diamantaras, 1998, Int. J. Medical Informatics.

Neural classifiers using one-time updating

Michael G. Strintzis, Konstantinos I. Diamantaras, M. Strintzis, 1998, IEEE Trans. Neural Networks.

Optimal transform coding in the presence of quantization noise

Michael G. Strintzis, Konstantinos I. Diamantaras, 1999, IEEE Trans. Image Process..

Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I

Lazaros S. Iliadis, Konstantinos I. Diamantaras, Wlodek Duch, 2010, International Conference on Artificial Neural Networks.

Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy

Konstantinos I. Diamantaras, Stavros Vologiannidis, Eleftherios Spyromitros Xioufis, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Implementation of Neural Network Algorithms on the P3 Parallel Associative Processor

Konstantinos I. Diamantaras, Isaac D. Scherson, David L. Heine, 1990, ICPP.

Optimal reconstruction from quantized data

Michael G. Strintzis, Konstantinos I. Diamantaras, Iordanis Sarafidis, 2000, Signal Process. Image Commun..

Multilayer neural networks for reduced-rank approximation

Sun-Yuan Kung, Konstantinos I. Diamantaras, S. Kung, 1994, IEEE Trans. Neural Networks.

Efficient Support Vector Machine Classification Using Prototype Selection and Generation

Georgios Evangelidis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, 2016, AIAI.

Resolving Motion Ambiguities

Konstantinos I. Diamantaras, Davi Geiger, 1993, NIPS.

Blind separation of multiple binary sources using a single linear mixture

Konstantinos I. Diamantaras, K. Diamantaras, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

MIMO blind deconvolution using subspace-based filter deflation

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review

Konstantinos I. Diamantaras, Euclid Keramopoulos, Georgios Lampropoulos, 2020, Vis. Informatics.

Temporal filtering and oriented PCA neural networks for blind source separation

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Side-Channel-Based Code-Execution Monitoring Systems: A Survey

Konstantinos I. Diamantaras, Saman Zonouz, Athina Petropulu, 2019, IEEE Signal Processing Magazine.

ECG analysis using nonlinear PCA neural networks for ischemia detection

Michael G. Strintzis, Nicos Maglaveras, Konstantinos I. Diamantaras, 1998, IEEE Trans. Signal Process..

Efficient binary classification through energy minimisation of slack variables

Konstantinos I. Diamantaras, Margarita Kotti, 2015, Neurocomputing.

Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm

Konstantinos I. Diamantaras, Theophilos Papadimitriou, George A. Papakostas, 2017, J. Parallel Distributed Comput..

Blind identification of linear channels using the data constellation geometry

Konstantinos I. Diamantaras, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

Blind MIMO FIR channel identification based on second-order spectra correlations

Athina P. Petropulu, Konstantinos I. Diamantaras, Ivan Bradaric, 2003, IEEE Trans. Signal Process..

Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources

Konstantinos I. Diamantaras, Theophilos Papadimitriou, Gabriela Vranou, 2013, IEEE Transactions on Signal Processing.

Artificial neural networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010 : proceedings

Lazaros S. Iliadis, Konstantinos I. Diamantaras, Wlodek Duch, 2010, ICANN 2010.

Trends in Machine Learning for Signal Processing [In the Spotlight]

Jan Larsen, Tülay Adali, Konstantinos I. Diamantaras, 2011, IEEE Signal Process. Mag..

Towards minimizing the energy of slack variables for binary classification

Konstantinos I. Diamantaras, Margarita Kotti, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Camera motion parameter recovery under perspective projection

Michael G. Strintzis, Konstantinos I. Diamantaras, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Cross-correlation neural network models

Sun-Yuan Kung, Konstantinos I. Diamantaras, S. Kung, 1994, IEEE Trans. Signal Process..

Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks

Konstantinos I. Diamantaras, Michail Salampasis, Konstantinos Christantonis, 2021, DATA.

Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks

Athina P. Petropulu, Konstantinos I. Diamantaras, Spilios Evmorfos, 2021, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations

Konstantinos I. Diamantaras, Michail Salampasis, Theodosios Siomos, 2021, ICMLC.

Fault detection and diagnosis for non-linear processes empowered by dynamic neural networks

Chrysovalantou Ziogou, Konstantinos I. Diamantaras, Georgios Gravanis, 2022, Comput. Chem. Eng..

CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification

Sun-Yuan Kung, Yinan Yu, Konstantinos I. Diamantaras, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Trends in Machine Learning for Signal Processing

Jan Larsen, Konstantinos I. Diamantaras, David J. Miller, 2011 .

Blind MIMO FIR Channel Identification Based on SecondOrder Statistics

Athina P. Petropulu, Konstantinos I. Diamantaras, I. Bradaric, 2001 .

Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition

Sun-Yuan Kung, Konstantinos I. Diamantaras, S. Kung, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Blind separation of three binary sources from one nonlinear mixture

Konstantinos I. Diamantaras, Theophilos Papadimitriou, K. Diamantaras, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

INTEGRATING MOTION AND COLOR FOR CONTENT BASED VIDEO CLASSIFICATION

Markos Zampoglou, Konstantinos I. Diamantaras, Theophilos Papadimitriou, 2008 .