P. Tsakalides

发表

AN ALPHA-STABLE BASED BAYESIAN ALGORITHM FOR SPECKLE NOISE REMOVAL IN THE WAVELET DOMAIN

A. Bezerianos, A. Achim, P. Tsakalides, 2001 .

Deviation from normality in statistical signal processing: parameter estimation with alpha-stable distributions

C. L. Nikias, P. Tsakalides, C. Nikias, 1998 .

Radar CFAR thresholding in heavy-tailed clutter and positive alpha-stable measurements

P. Tsakalides, C. L. Nikias, P. Tsakalides, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

Angle/Doppler estimation in heavy-tailed clutter backgrounds

C. L. Nikias, P. Tsakalides, R. Raspanti, 1999 .

Feature learning for multi-label land cover classification

P. Tsakalides, M. Zervakis, Konstantinos Karalas, 2015 .

Compressive sensing for ultrasound RF echoes using a-Stable Distributions

Alin Achim, George Tzagkarakis, Panagiotis Tsakalides, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Robust space-time adaptive processing (STAP) in non-Gaussian clutter environments

C. L. Nikias, P. Tsakalides, 1999 .

A STATISTICAL APPROACH TO TEXTURE IMAGE RETRIEVAL VIA ALPHA-STABLE MODELING OF WAVELET DECOMPOSITIONS

P. Tsakalides, G. Tzagkarakis, 1997 .

MatureBayes: A Probabilistic Algorithm for Identifying the Mature miRNA within Novel Precursors

P. Poirazi, P. Tsakalides, I. Tsamardinos, 2010, PloS one.

USING THE SINUSOIDAL PLUS NOISE APPROACH

P. Tsakalides, A. Mouchtaris, Christos Tzagkarakis, 2007 .

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice

A. Losonczy, P. Poirazi, P. Tsakalides, 2020, Neuron.

Compressive Sensing Using Symmetric Alpha-Stable Distributions – Part I : Robust Nonlinear Sampling

J. Nolan, P. Tsakalides, G. Tzagkarakis, 2017 .

Compressive Sensing Using Symmetric Alpha-Stable Distributions – Part II : Robust Sparse Reconstruction

J. Nolan, P. Tsakalides, G. Tzagkarakis, 2017 .

CHARACTERIZATION OF AN UNDERWATER ACOUSTIC SIGNAL USING THE STATISTICS OF THE WAVELET SUBBAND COEFFICIENTS

P. Tsakalides, G. Tzagkarakis, M. Taroudakis, 2006 .

A new criterion for blind deconvolution of colored input signals

C. L. Nikias, P. Tsakalides, C. Nikias, 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

Low-Complexity Rotation-Invariant Image Retrieval Based on Steerable Sub-Gaussian Modeling

P. Tsakalides, B. Beferull-Lozano, G. Tzagkarakis, 2005 .

Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection

P. Tsakalides, G. Tzagkarakis, Konstantinos Bountrogiannis, 2021, IEEE Transactions on Knowledge and Data Engineering.

Compressed Sensing of Audio Signals in a Wireless Sensor Network

P. Tsakalides, Anthony Griffin, 2007 .

Graph denoising of impulsive EEG signals and the effect of their graph representation

P. Tsakalides, K. Marias, G. Tzagkarakis, 2022, Biomed. Signal Process. Control..

Neuro-inspired Image Compression Architectures

P. Tsakalides, M. Zervakis, A. Papanastasiou, 2022, 2022 IEEE International Conference on Imaging Systems and Techniques (IST).

Robust nonlinear compressive sampling using symmetric alpha-stable distributions

George Tzagkarakis, Panagiotis Tsakalides, John P. Nolan, 2021, Signal Process..

Compressive Sensing Using Symmetric Alpha-Stable Distributions for Robust Sparse Signal Reconstruction

George Tzagkarakis, Panagiotis Tsakalides, John P. Nolan, 2019, IEEE Transactions on Signal Processing.

Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation

Panagiotis Tsakalides, Grigorios Tsagkatakis, Radamanthys Stivaktakis, 2019, IEEE Geoscience and Remote Sensing Letters.

4D U-Nets for Multi-Temporal Remote Sensing Data Classification

P. Tsakalides, Grigorios Tsagkatakis, M. Giannopoulos, 2022, Remote. Sens..

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

P. Tsakalides, Grigorios Tsagkatakis, M. Giannopoulos, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Distributed Learning Architecture for Scientific Imaging Problems pdf

Jean-Luc Starck, Panagiotis Tsakalides, Grigorios Tsagkatakis, 2018, ArXiv.

On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery

Panagiotis Tsakalides, Grigorios Tsagkatakis, Michalis Giannopoulos, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

1-Bit Tensor Completion

Panagiotis Tsakalides, Grigorios Tsagkatakis, Anastasia Aidini, 2018, Image Processing: Algorithms and Systems.

Matrix and Tensor Completion on a Human Activity Recognition Framework

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2017, IEEE Journal of Biomedical and Health Informatics.

Application of Tensor and Matrix Completion on Environmental Sensing Data

Panagiotis Tsakalides, Grigorios Tsagkatakis, Michalis Giannopoulos, 2017, ESANN.

Effects of matrix completion on the classification of undersampled human activity data streams

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery

Panagiotis Tsakalides, Bert Geelen, Grigorios Tsagkatakis, 2016, IMSE.

Novel Techniques for the Estimation of Multi-modal Missing Data in Wireless Sensor Networks

Antonis A. Argyros, M. Papadopouli, P. Tsakalides, 2016 .

LIGHTWEIGHT ONBOARD HYPERSPECTRAL COMPRESSION AND RECOVERY BY MATRIX COMPLETION

Panagiotis Tsakalides, Grigorios Tsagkatakis, Cristoforo Abbattista, 2016 .

Signal and Data Processing Techniques for Industrial Cyber-Physical Systems

Baltasar Beferull-Lozano, George Tzagkarakis, Panagiotis Tsakalides, 2015 .

Application of Matrix Completion on Water Treatment Data

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2015 .

Efficient high dynamic range imaging via matrix completion

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity

S. Smirnakis, M. Papadopouli, P. Tsakalides, 2019, Neurocomputing.

Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms

Panagiotis Tsakalides, Apostolos Dollas, Manolis Katevenis, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing

Panagiotis Tsakalides, Bert Geelen, Grigorios Tsagkatakis, 2019, IEEE Transactions on Computational Imaging.

Mature miRNA identification via the use of a Naive Bayes classifier

Panagiotis Tsakalides, P. Poirazi, K. Gkirtzou, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Compressed sensing reconstruction of convolved sparse signals

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks

Panagiotis Tsakalides, Attila Losonczy, Grigorios Tsagkatakis, 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

M. Moghaddam, P. Tsakalides, Grigorios Tsagkatakis, 2022, Sensors.

Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs

Panagiotis Tsakalides, Effrosyni Doutsi, Michaela Areti Zervou, 2020, bioRxiv.

A Self-Tuned Architecture for Human Activity Recognition Based on a Dynamical Recurrence Analysis of Wearable Sensor Data

P. Tsakalides, A. Panousopoulou, G. Tzagkarakis, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Semantic Predictive Coding with Arbitrated Generative Adversarial Networks

Panagiotis Tsakalides, Grigorios Tsagkatakis, Radamanthys Stivaktakis, 2020, Mach. Learn. Knowl. Extr..

Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data

Jean-Luc Starck, Panagiotis Tsakalides, Grigorios Tsagkatakis, 2018, IEEE Transactions on Big Data.

Novel Bayesian multiscale method for speckle removal in medical ultrasound images

Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides, 2001, IEEE Transactions on Medical Imaging.

SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling

Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides, 2003, IEEE Trans. Geosci. Remote. Sens..

Rotation-invariant texture retrieval with gaussianized steerable pyramids

Baltasar Beferull-Lozano, George Tzagkarakis, Panagiotis Tsakalides, 2005, IEEE Transactions on Image Processing.

Convolutional Neural Networks with Deep Supervised Feature Learning for Remote Sensing Scene Classification

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2020 .

An Experimental Analysis of the Opportunities to Use Field Programmable Gate Array Multiprocessors for On-board Satellite Deep Learning Classification of Spectroscopic Observations from Future ESA Space Missions

Panagiotis Tsakalides, Apostolos Dollas, Grigorios Tsagkatakis, 2019 .

Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable models

Panagiotis Tsakalides, Alexia Briassouli, Athanasios Stouraitis, 2005, IEEE Transactions on Multimedia.

Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis

Kostas Marias, Anastasia Pentari, George Tzagkarakis, 2022, Biomed. Signal Process. Control..

Classification of shallow-water acoustic signals via alpha-Stable modeling of the one-dimensional wavelet coefficients

George Tzagkarakis, Panagiotis Tsakalides, Michael I. Taroudakis, 2006 .

Multivariate ordering in color image filtering

Ioannis Pitas, Panagiotis Tsakalides, I. Pitas, 1991, IEEE Trans. Circuits Syst. Video Technol..

Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2017, Computational Imaging.

OmbriaNet—Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion

P. Tsakalides, Grigorios Tsagkatakis, G. I. Drakonakis, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Rotation-Invariant Texture Retrieval via Signature Alignment Based on Steerable Sub-Gaussian Modeling

Baltasar Beferull-Lozano, George Tzagkarakis, Panagiotis Tsakalides, 2008, IEEE Transactions on Image Processing.

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement

Panagiotis Tsakalides, Grigorios Tsagkatakis, Michalis Giannopoulos, 2019, Sensors.

Hyperspectral Image Compression and Super-Resolution Using Tensor Decomposition Learning

P. Tsakalides, A. Aidini, M. Giannopoulos, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Singular spectrum analysis of traffic workload in a large-scale wireless lan

Maria Papadopouli, George Tzagkarakis, Panagiotis Tsakalides, 2007, MSWiM '07.

Land Classification Using Remotely Sensed Data: Going Multilabel

Panagiotis Tsakalides, Michael Zervakis, Grigorios Tsagkatakis, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification

Panagiotis Tsakalides, Grigorios Tsagkatakis, Maria Aspri, 2020, Remote. Sens..

Compressed sensing of audio signals using multiple sensors

Anthony Griffin, Panagiotis Tsakalides, P. Tsakalides, 2008, 2008 16th European Signal Processing Conference.

Automated Screening of Dyslexia via Dynamical Recurrence Analysis of Wearable Sensor Data

George Tzagkarakis, Panagiotis Tsakalides, Michaela Areti Zervou, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

VLSI architectures for blind equalization based on fractional-order statistics

Vassilis Paliouras, Thanos Stouraitis, Panagiotis Tsakalides, 2001, ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483).

Constant modulus blind equalization based on fractional lower-order statistics

Enrico Del Re, Chrysostomos L. Nikias, Panagiotis Tsakalides, 2004, Signal Process..

Convolutional neural networks for the analysis of broadcasted tennis games

Panagiotis Tsakalides, Mustafa I. Jaber, Grigorios Tsagkatakis, 2018, Visual Information Processing and Communication.

Goal!! Event detection in sports video

Panagiotis Tsakalides, Mustafa I. Jaber, Grigorios Tsagkatakis, 2017, Computer Vision Applications in Sports.

An online feature selection architecture for Human Activity Recognition

Panagiotis Tsakalides, Athanasia Panousopoulou, Katerina Karagiannaki, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Recovery of quantized compressed sensing measurements

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2015, Electronic Imaging.

Design of a Compressive Remote Imaging System Compensating a Highly Lightweight Encoding with a Refined Decoding Scheme

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2012, VISAPP.

Compressed sensing for OFDM UWB systems

Anthony Griffin, Panagiotis Tsakalides, Tanish Agrawal, 2011, 2011 IEEE Radio and Wireless Symposium.

Trend forecasting based on Singular Spectrum Analysis of traffic workload in a large-scale wireless LAN

Maria Papadopouli, George Tzagkarakis, Panagiotis Tsakalides, 2009, Perform. Evaluation.

Alpha-Stable Modeling of Noise and Robust Time-Delay Estimation in the Presence of Impulsive Noise

Panayiotis G. Georgiou, Panagiotis Tsakalides, Chris Kyriakakis, 1999, IEEE Trans. Multim..

Bayesian methods for ultrasound image denoising in the wavelet domain

Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides, 2002 .

Image Compression Based on Neuroscience Models: Rate-Distortion Performance of the Neural Code

Panagiotis Tsakalides, Effrosyni Doutsi, P. Tsakalides, 2020, 2020 Data Compression Conference (DCC).

IEEE 23rd Annual International Conference of the Engineering in Medicine and Biology Society

Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides, 2001 .

5th IEEE-EURASIP Biennial International Workshop on Nonlinear Signal and Image Processing (NSIP-01), Baltimore, USA

Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides, 2001 .

WLAN-based indoor path tracking using compressive RSS measurements

Philippe Jacquet, George Tzagkarakis, Panagiotis Tsakalides, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Low-dimensional signal-strength fingerprint-based positioning in wireless LANs

Maria Papadopouli, George Tzagkarakis, Panagiotis Tsakalides, 2014, Ad Hoc Networks.

Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2020, IEEE Transactions on Multimedia.

Multiple-measurement Bayesian compressed sensing using GSM priors for DOA estimation

George Tzagkarakis, Panagiotis Tsakalides, Dimitris Milioris, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust spatial filtering of coherent sources for wireless communications

Enrico Del Re, Chrysostomos L. Nikias, Panagiotis Tsakalides, 2000, Signal Process..

Efficient Protein Structural Class Prediction Via Chaos Game Representation and Recurrent Neural Networks

P. Tsakalides, E. Doutsi, Zervou Michaela Areti, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Secondary Structure Classification of Low-homology Proteins with Graph Neural Networks

P. Tsakalides, M. Zervou, E. Doutsi, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification

Panagiotis Tsakalides, Effrosyni Doutsi, Michaela Areti Zervou, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Efficient Dynamic Analysis of Low-similarity Proteins for Structural Class Prediction

P. Tsakalides, M. A. Zervou, E. Doutsi, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Secondary Structure Classiﬁcation of Low-homology Proteins with Graph Neural Networks

P. Tsakalides, M. Zervou, E. Doutsi, 2022 .

Quantifying the Computational Efficiency of Compressive Sensing in Smart Water Network Infrastructures

George Tzagkarakis, Panagiotis Tsakalides, Antonis Makrogiannakis, 2020, Sensors.

Efficient Multi-Channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Sofia Nikitaki, 2015, IEEE Transactions on Mobile Computing.

Reconstruction of Ultrasound RF Echoes Modeled as Stable Random Variables

Adrian Basarab, Alin Achim, George Tzagkarakis, 2015, IEEE Transactions on Computational Imaging.

Compressed hyperspectral sensing

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2015, Electronic Imaging.

Multireturn compressed gated range imaging

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2015 .

Distributed compressed sensing of non-negative signals using symmetric alpha-stable distributions

George Tzagkarakis, Panagiotis Tsakalides, P. Tsakalides, 2010, 2010 18th European Signal Processing Conference.

Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons

Marc Antonini, Panagiotis Tsakalides, Lionel Fillatre, 2021, IEEE Transactions on Image Processing.

Decentralized indoor wireless localization using compressed sensing of signal-strength fingerprints

Panagiotis Tsakalides, Sofia Nikitaki, P. Tsakalides, 2012, PM2HW2N '12.

Joint sparse signal ensemble reconstruction in a WSN using decentralized Bayesian matching pursuit

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2011, 2011 19th European Signal Processing Conference.

Single-Channel and Multi-Channel Sinusoidal Audio Coding Using Compressed Sensing

Athanasios Mouchtaris, Anthony Griffin, Panagiotis Tsakalides, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Maximum likelihood localization of sources in noise modeled as a stable process

Chrysostomos L. Nikias, Panagiotis Tsakalides, C. L. Nikias, 1995, IEEE Trans. Signal Process..

The robust covariation-based MUSIC (ROC-MUSIC) algorithm for bearing estimation in impulsive noise environments

Chrysostomos L. Nikias, Panagiotis Tsakalides, C. L. Nikias, 1996, IEEE Trans. Signal Process..

Covariation-based subspace-augmented MUSIC for joint sparse support recovery in impulsive environments

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2013, Signal Process..

Distributed consensus algorithms for SVM training in wireless sensor networks

Baltasar Beferull-Lozano, Panagiotis Tsakalides, K. Flouri, 2008, 2008 16th European Signal Processing Conference.

Multi-Source image enhancement via Coupled Dictionary Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2017 .

Spectral Super-Resolution via Coupled Sparse Dictionary Learning

P. Tsakalides, Grigorios Tsagkatakis, K. Fotiadou, 2016 .

Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2016, Computational Imaging.

Retina-Inspired Spatio-Temporal Filtering for Dynamic Video Coding

P. Tsakalides, M. Antonini, E. Doutsi, 2022, International Conference on Information Photonics.

Neuro-Inspired Compression of RGB Images

George Tzagkarakis, Panagiotis Tsakalides, Effrosyni Doutsi, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Feature selection for performance characterization in multi-hop wireless sensor networks

Panagiotis Tsakalides, Athanasia Panousopoulou, Mikel Azkune, 2016, Ad Hoc Networks.

Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression

Panagiotis Tsakalides, Grigorios Tsagkatakis, Anastasia Aidini, 2020, 2020 Data Compression Conference (DCC).

Analysis of "old" microarray data of lung cancer reveals hidden pieces of new biological knowledge

Antonis A. Argyros, P. Tsakalides, I. Tsamardinos, 2015 .

Scalar quantisation of heavy-tailed signals

Chrysostomos L. Nikias, Panagiotis Tsakalides, C. L. Nikias, 2000 .

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks

Anastasia Pentari, Panagiotis Tsakalides, Michalis Giannopoulos, 2020, J. Imaging.

Deep learning for multi-label land cover classification

Michalis Zervakis, Panagiotis Tsakalides, Grigorios Tsagkatakis, 2015, SPIE Remote Sensing.

The secrecy capacity of block fading multiuser wireless networks

H. Vincent Poor, Panagiotis Tsakalides, Arsenia Chorti, 2013, 2013 International Conference on Advanced Technologies for Communications (ATC 2013).

A novel kNN classifier for acoustic vehicle classification based on alpha-stable statistical modeling

Panagiotis Tsakalides, Evgenios M. Kornaropoulos, P. Tsakalides, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Microarray Image Denoising Using a Two-Stage Multiresolution Technique

Kostas Marias, Panagiotis Tsakalides, Thanasis Margaritis, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Anomaly Detection for Symbolic Time Series Representations of Reduced Dimensionality

George Tzagkarakis, Panagiotis Tsakalides, Konstantinos Bountrogiannis, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Sparse Representations on DW-MRI: A Study on Pancreas

Kostas Marias, Panagiotis Tsakalides, Georgios C. Manikis, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

Low Light Image Enhancement via Sparse Representations

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2014, ICIAR.

Multichannel Audio Coding for Multimedia Services in Intelligent Environments

Athanasios Mouchtaris, Panagiotis Tsakalides, P. Tsakalides, 2008 .

Low Bitrate Coding of Spot Audio Signals for Interactive and Immersive Audio Applications

Athanasios Mouchtaris, Panagiotis Tsakalides, Christos Tzagkarakis, 2008, New Directions in Intelligent Interactive Multimedia.

On realizing distributed topology control in low-power IoT platforms

Panagiotis Tsakalides, Athanasia Panousopoulou, Phivos Phivou, 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification

A. Losonczy, P. Tsakalides, Eirini Troullinou, 2024, IEEE Transactions on Artificial Intelligence.

A Study on the Effect of Distinct Adjacency Matrices for Graph Signal Denoising

Kostas Marias, Anastasia Pentari, George Tzagkarakis, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Compressive Sensing of Temporally Correlated Sources Using Isotropic Multivariate Stable Laws

George Tzagkarakis, Panagiotis Tsakalides, John P. Nolan, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

A Multichannel Sinusoidal Model Applied to Spot Microphone Signals for Immersive Audio

Athanasios Mouchtaris, Panagiotis Tsakalides, Christos Tzagkarakis, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Graph denoising of impulsive EEG signals and the effect of their graph representation

P. Tsakalides, K. Marias, G. Tzagkarakis, 2022, Biomed. Signal Process. Control..

A distributed learning architecture for big imaging problems in astrophysics

Jean-Luc Starck, Panagiotis Tsakalides, Athanasia Panousopoulou, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

A benchmark study on feature selection for human activity recognition

Panagiotis Tsakalides, Athanasia Panousopoulou, Katerina Karagiannaki, 2016, UbiComp Adjunct.

Singular spectrum-based matrix completion for time series recovery and prediction

P. Tsakalides, B. Beferull-Lozano, G. Tsagkatakis, 2016, EURASIP J. Adv. Signal Process..

Deep Feature Learning for Hyperspectral Image Classification and Land Cover Estimation

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2016 .