Konstantinos I. Diamantaras

Orcid: 0000-0003-1373-4022

According to our database1, Konstantinos I. Diamantaras authored at least 118 papers between 1990 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine learning methods for results merging in patent retrieval.
Data Technol. Appl., 2024

Learning local discrete features in explainable-by-design convolutional neural networks.
CoRR, 2024

Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population.
CoRR, 2024

Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

2023
Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using Rethinking and Deep Neural Networks.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022
Reinforcement Learning for Motion Policies in Mobile Relaying Networks.
IEEE Trans. Signal Process., 2022

Semantically Enriched Augmented Reality Applications: A Proposed System Architecture and a Case Study.
Int. J. Recent Contributions Eng. Sci. IT, 2022

Fault detection and diagnosis for non-linear processes empowered by dynamic neural networks.
Comput. Chem. Eng., 2022

Towards a DHH Accessible Theater: Real-Time Synchronization of Subtitles and Sign Language Videos with ASR and NLP Solutions.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience.
Proceedings of the Intelligent Systems and Applications, 2022

Automated Single-Label Patent Classification using Ensemble Classifiers.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using EEG and Recurrent Neural Networks.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Exploring Classification in Open and Closed Eyes EEG Data for People with Cognitive Disorders.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Learning to Select for Mimo Radar Based on Hybrid Analog-Digital Beamforming.
Proceedings of the IEEE International Conference on Acoustics, 2021

Student Performance Prediction Using Dynamic Neural Models.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks.
Proceedings of the 10th International Conference on Data Science, 2021

Double Deep Q Learning with Gradient Biasing for Mobile Relay Beamforming Networks.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review.
Vis. Informatics, 2020

A Graph-based Method for Session-based Recommendations.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

Q-Learning Based Predictive Relay Selection for Optimal Relay Beamforming.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dynamic k-NN Classification Based on Region Homogeneity.
Proceedings of the New Trends in Databases and Information Systems, 2020

2019
Contactless Monitoring of Critical Infrastructure [From the Guest Editors].
IEEE Signal Process. Mag., 2019

Side-Channel-Based Code-Execution Monitoring Systems: A Survey.
IEEE Signal Process. Mag., 2019

Behind the cues: A benchmarking study for fake news detection.
Expert Syst. Appl., 2019

Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Optimal Mobile Relay Beamforming Via Reinforcement Learning.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Fast Tree-Based Classification via Homogeneous Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Classification of Sleep Stages for Healthy Subjects and Patients with Minor Sleep Disorders.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

A Reinforcement Learning Approach for Mobile Beamforming.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification.
Neurocomputing, 2018

Margin-Based Sample Filtering for Image Classification Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm.
J. Parallel Distributed Comput., 2017

Sentiment analysis leveraging emotions and word embeddings.
Expert Syst. Appl., 2017

Emerging Trends in Machine Learning for Signal Processing.
Comput. Intell. Neurosci., 2017

Airfare prices prediction using machine learning techniques.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Efficient Support Vector Machine Classification Using Prototype Selection and Generation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Adaptive margin slack minimization in RKHS for classification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A comparison of machine learning techniques for customer churn prediction.
Simul. Model. Pract. Theory, 2015

Efficient binary classification through energy minimisation of slack variables.
Neurocomputing, 2015

Machine Learning Sentiment Prediction based on Hybrid Document Representation.
CoRR, 2015

Market sentiment and exchange rate directional forecasting.
Algorithmic Finance, 2015

A metaheuristic bandwidth allocation scheme for FiWi networks using Ant Colony Optimization.
Proceedings of the 2015 IEEE Symposium on Communications and Vehicular Technology in the Benelux, 2015

2014
Efficient data classification by GPU-accelerated linear mean squared slack minimization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Analyzing data into quantized components.
Proceedings of the IEEE International Conference on Acoustics, 2014

Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources.
IEEE Trans. Signal Process., 2013

Ridge-adjusted Slack Variable Optimization for supervised classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Blind identification of PAM-MIMO systems based on the distribution of output differences.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Binary classification by minimizing the mean squared slack.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Towards minimizing the energy of slack variables for binary classification.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances.
J. Signal Process. Syst., 2011

Trends in Machine Learning for Signal Processing [In the Spotlight].
IEEE Signal Process. Mag., 2011

Editorial for the special issue ICANN-2010.
Neural Networks, 2011

Blind separation of multiple binary sources from one nonlinear mixture.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing.
J. Signal Process. Syst., 2010

Guest Editorial: Special Issue on Machine Learning for Signal Processing.
J. Signal Process. Syst., 2010

Motion Descriptors for Semantic Video Indexing.
Proceedings of the SIGMAP 2010, 2010

Separating two binary sources from a single nonlinear mixture.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Applying PCA neural models for the blind separation of signals.
Neurocomputing, 2009

Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems.
IEEE Trans. Signal Process., 2008

Blind system identification: instantaneous mixtures of <i>n</i> sources.
Int. J. Comput. Math., 2008

2007
Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources.
IEEE Trans. Signal Process., 2006

Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures.
IEEE Trans. Signal Process., 2006

A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture.
Signal Process., 2006

Greek Named Entity Recognition using Support Vector Machines, Maximum Entropy and Onetime.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

A channel deflation approach for the blind deconvolution of a complex FIR channel with real input.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Blind separation of reflections using the image mixtures ratio.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Video scene segmentation using spatial contours and 3-D robust motion estimation.
IEEE Trans. Circuits Syst. Video Technol., 2004

MIMO blind deconvolution using subspace-based filter deflation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Blind MIMO FIR channel identification based on second-order spectra correlations.
IEEE Trans. Signal Process., 2003

On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics.
IEEE Trans. Signal Process., 2003

Temporal filtering and oriented PCA neural networks for blind source separation.
Proceedings of the NNSP 2003, 2003

Blind signal separation using oriented PCA neural models.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Blind channel identification based on the geometry of the received signal constellation.
IEEE Trans. Signal Process., 2002

Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments.
J. Digit. Inf., 2002

Subspace design of low-rank estimators for higher-order statistics.
J. Frankl. Inst., 2002

2001
Blind identification of linear channels using the data constellation geometry.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Occlusion resistant object tracking.
Proceedings of the 2001 International Conference on Image Processing, 2001

Blind Source Separation Using Principal Component Neural Networks.
Proceedings of the Artificial Neural Networks, 2001

2000
Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics.
IEEE Trans. Signal Process., 2000

Robust estimation of rigid-body 3-D motion parameters based on point correspondences.
IEEE Trans. Circuits Syst. Video Technol., 2000

Optimal reconstruction from quantized data.
Signal Process. Image Commun., 2000

A Novel Rigid Object Segmentation Method Based on Multiresolution 3-D Motion and Luminance Analysis.
Proceedings of the 2000 International Conference on Image Processing, 2000

Blind separation of multiple binary sources using a single linear mixture.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Optimal linear compression under unreliable representation and robust PCA neural models.
IEEE Trans. Neural Networks, 1999

Optimal transform coding in the presence of quantization noise.
IEEE Trans. Image Process., 1999

Adaptive blind MIMO system identification using principal component neural models.
Proceedings of the International Joint Conference Neural Networks, 1999

Robust estimation of rigid body 3-D motion parameters from point correspondences.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Blind equalization of multiuser CDMA channels: a frequency-domain approach.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
ECG analysis using nonlinear PCA neural networks for ischemia detection.
IEEE Trans. Signal Process., 1998

Neural classifiers using one-time updating.
IEEE Trans. Neural Networks, 1998

ECG pattern recognition and classification using non-linear transformations and neural networks: A review.
Int. J. Medical Informatics, 1998

Robust hebbian learning and noisy principal component analysis.
Int. J. Comput. Math., 1998

Total Least Squares 3-D Motion Estimation.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Second order Hebbian neural networks and blind source separation.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
A Linear Systolic Array for Real-Time Morphological Image Processing.
J. VLSI Signal Process., 1997

Noisy PCA theory and application in filter bank codec design.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Dynamic programming implementation on array processor architectures.
J. VLSI Signal Process., 1996

Robust principal component extracting neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Camera motion parameter recovery under perspective projection.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1994
Adaptive Principal component EXtraction (APEX) and applications.
IEEE Trans. Signal Process., 1994

Cross-correlation neural network models.
IEEE Trans. Signal Process., 1994

Multilayer neural networks for reduced-rank approximation.
IEEE Trans. Neural Networks, 1994

Occlusion ambiguities in motion.
Proceedings of the Computer Vision, 1994

1993
Resolving Motion Ambiguities.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1991
A new transition count method for testing of logic circuits.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1991

An unsupervised neural model for oriented principal component extraction.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Implementation of Neural Network Algorithms on the P<sup>3</sup> Parallel Associative Processor.
Proceedings of the 1990 International Conference on Parallel Processing, 1990

A neural network learning algorithm for adaptive principal component extraction (APEX).
Proceedings of the 1990 International Conference on Acoustics, 1990


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