Alexandros T. Tzallas

According to our database, Alexandros T. Tzallas authored at least 118 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Improved Parallel Particle Swarm Optimization.

Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros T. Tzallas

SN Comput. Sci., November, 2023

Constructing the Bounds for Neural Network Training Using Grammatical Evolution.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis

Comput., October, 2023

Performance and early drop prediction for higher education students using machine learning.

Vasileios Christou, Ioannis G. Tsoulos, Vasileios Loupas, Alexandros T. Tzallas, Christos Gogos, Petros S. Karvelis, Nikolaos Antoniadis, Evripidis Glavas, Nikolaos Giannakeas

Expert Syst. Appl., September, 2023

An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring.

Theodoros Lampros, Konstantinos Kalafatakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas

Array, September, 2023

A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG.

Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas, Alexandros T. Tzallas

Data, June, 2023

Virtual and Augmented Experience in Virtual Learning Tours.

Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Nikolaos Giannakeas

Inf., May, 2023

Bound the Parameters of Neural Networks Using Particle Swarm Optimization.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis, Dimitrios G. Tsalikakis

Comput., April, 2023

NeuralMinimizer: A Novel Method for Global Optimization.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis, Dimitrios G. Tsalikakis

Inf., February, 2023

Train RBF networks with a hybrid genetic algorithm.

Ioannis G. Tsoulos, Nikolaos P. Anastasopoulos, Georgios Ntritsos, Alexandros T. Tzallas

Evol. Intell., February, 2023

Scalable Consensus Over Finite Capacities in Multiagent IoT Ecosystems.

Aristidis G. Anagnostakis, Charilaos Naxakis, Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Euripidis Glavas

IEEE Internet Things J., 2023

Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery.

Georgios Prapas, Kosmas Glavas, Katerina D. Tzimourta, Alexandros T. Tzallas, Markos G. Tsipouras

Inf., 2023

An Improved Medical Image Compression Method Based on Wavelet Difference Reduction.

Matina Ch. Zerva, Vasileios Christou, Nikolaos Giannakeas, Alexandros T. Tzallas, Lisimachos P. Kondi

IEEE Access, 2023

Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review.

Andreas Miltiadous, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Konstantinos Kalafatakis, Alexandros T. Tzallas

IEEE Access, 2023

DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals.

Andreas Miltiadous, Emmanouil Gionanidis, Katerina D. Tzimourta, Nikolaos Giannakeas, Alexandros T. Tzallas

IEEE Access, 2023

A Comparative Testing of Yolov8-Based Algorithm for Cancer Biopsy Images: Case Study on Pannuke Pan-Cancer Dataset.

Panagiotis N. Smyrlis, Odysseas Tsakai, Konstantinos Vogklis, Nikolaos Giannakeas, Alexandros T. Tzallas, George F. Fragulis, Markos G. Tsipouras

Proceedings of the 8th South-East Europe Design Automation, 2023

Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform.

Theodoros Lampros, Nikolaos Giannakeas, Konstantinos Kalafatakis, Markos G. Tsipouras, Alexandros T. Tzallas

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features.

Andreas Miltiadous, Katerina D. Tzimourta, Vasileios Aspiotis, Theodora Afrantou, Markos G. Tsipouras, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Deep-in-Biopsies: AI-supported biopsy image processing for accurate pathology diagnosis and staging.

Odysseas Tsakai, Panagiotis N. Smyrlis, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Novel Approach for Cancer Image Segmentation.

Panagiotis N. Smyrlis, Konstantinos Vogklis, Odysseas Tsakai, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement.

Vasileios Christou, Kyriakos Koritsoglou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Evripidis Glavas, Alexandros T. Tzallas

Expert Syst. Appl., October, 2022

Prediction of COVID-19 Cases Using Constructed Features by Grammatical Evolution.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis

Symmetry, 2022

Modifications for the Differential Evolution Algorithm.

Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis

Symmetry, 2022

Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection.

Vasileios Christou, Andreas Miltiadous, Ioannis G. Tsoulos, Evaggelos Karvounis, Katerina D. Tzimourta, Markos G. Tsipouras, Nikolaos P. Anastasopoulos, Alexandros T. Tzallas, Nikolaos Giannakeas

Sensors, 2022

Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG.

Vasileios Aspiotis, Andreas Miltiadous, Konstantinos Kalafatakis, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Dimitrios Peschos, Euripidis Glavas, Alexandros T. Tzallas

Sensors, 2022

A Traffic-Load-Based Algorithm for Wireless Sensor Networks' Lifetime Extension.

Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Kyriakos Koritsoglou, Evaggelos Karvounis, Konstantinos Bezas, Constantinos T. Angelis

Inf., 2022

Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method.

Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Evripidis Glavas, Avraam Ploumis, Nikolaos Giannakeas

Inf., 2022

Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images.

Alexandros Arjmand, Odysseas Tsakai, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Christos Gogos, Evripidis Glavas, Nikolaos Giannakeas

Inf., 2022

An improved multi-start-based method for global optimisation problems.

Ioannis G. Tsoulos, Alexandros T. Tzallas

Int. J. Comput. Intell. Stud., 2022

Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool.

Pavlos Christodoulides, Andreas Miltiadous, Katerina D. Tzimourta, Dimitrios Peschos, Georgios Ntritsos, Victoria Zakopoulou, Nikolaos Giannakeas, Loukas G. Astrakas, Markos G. Tsipouras, Konstantinos I. Tsamis, Euripidis Glavas, Alexandros T. Tzallas

Biomed. Signal Process. Control., 2022

RbfDeSolver: A Software Tool to Approximate Differential Equations Using Radial Basis Functions.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis

Axioms, 2022

Pediatric Epilepsy Assessment Based on EEG Analysis.

Yannis Misirlis, Katerina D. Tzimourta, Pantelis Angelidis, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

Intra-User Analysis Based on Brain-Computer Interface Controlled Game.

Kosmas Glavas, Georgios Prapas, Katerina D. Tzimourta, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

Applied Virtual Reality in 3D Geometry.

Konstantinos Sakkas, Alexandra Tsogka, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas

Proceedings of the 7th South-East Europe Design Automation, 2022

Analysis of Emotions through the Use of Physiological Signals.

Konstantinos Sakkas, Alexandra Tsogka, Athanasios Gkimitzoudis, Nikolaos Giannakeas, Katerina D. Tzimourta, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas

Proceedings of the 7th South-East Europe Design Automation, 2022

A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4^th IR era.

Konstantinos Sakkas, Niki Eleni Ntagka, Panagiota Vinni, Paraskevi Artemi, Aristidis G. Anagnostakis, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas

Proceedings of the 7th South-East Europe Design Automation, 2022

Motor Imagery Approach for BCI Game Development.

Georgios Prapas, Kosmas Glavas, Alexandros T. Tzallas, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras

Proceedings of the 7th South-East Europe Design Automation, 2022

Human Activity Recognition using Machine Learning Techniques.

Vasileios Nastos, Alexandros Arjmand, Klevis Tsakai, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Nikolaos Giannakeas, Avraam Ploumis, Christos Gogos

Proceedings of the 7th South-East Europe Design Automation, 2022

An experimental protocol for exploration of stress in an immersive VR scenario with EEG.

Andreas Miltiadous, Vasileios Aspiotis, Konstantinos Sakkas, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas

Proceedings of the 7th South-East Europe Design Automation, 2022

A non-invasive closed-loop diagnostic and therapeutic wearable device for diabetic hyperglycemia prevention: System Architecture.

Vasiliki Fiska, Sofia Evangelou, Nikolaos Giannakeas, Alexandros T. Tzallas, Pantelis Angelidis, Markos G. Tsipouras

Proceedings of the 7th South-East Europe Design Automation, 2022

Virtual and augmented experience in cultural places: The perspective of integration in the learning process.

Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas

Proceedings of the 7th South-East Europe Design Automation, 2022

A Fairness-aware Coverage Algorithm for Drone Swarms.

Konstantinos Bezas, Georgios Tsoumanis, Kyriakos Koritsoglou, Konstantinos Oikonomou, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras, Constantinos T. Angelis

Proceedings of the 7th South-East Europe Design Automation, 2022

A peer, "wallet-only" consensus schema for ownership transfer over finite populations.

Aristidis G. Anagnostakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras, Euripidis Glavas

Proceedings of the 7th South-East Europe Design Automation, 2022

2021

An Improved Controlled Random Search Method.

Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Nikolaos P. Anastasopoulos

Symmetry, 2021

GenClass: A parallel tool for data classification based on Grammatical Evolution.

Nikolaos P. Anastasopoulos, Ioannis G. Tsoulos, Alexandros T. Tzallas

SoftwareX, 2021

A Novel Sampling Technique for Multistart-Based Methods.

Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros T. Tzallas

SN Comput. Sci., 2021

EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests.

Evangelos Antoniou, Pavlos Bozios, Vasileios Christou, Katerina D. Tzimourta, Konstantinos Kalafatakis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas

Sensors, 2021

IoT Micro-Blockchain Fundamentals.

Aristidis G. Anagnostakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas

Sensors, 2021

Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review.

Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios G. Tsalikakis, Markos G. Tsipouras

Int. J. Neural Syst., 2021

Improving the PSO method for global optimization problems.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evaggelos Karvounis

Evol. Syst., 2021

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images.

Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas

Array, 2021

A Traffic Load-based Algorithm for Extending the Lifetime of Wireless Sensor Networks.

Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Kyriakos Koritsoglou, Evaggelos Karvounis, Constantinos T. Angelis

Proceedings of the 6th South-East Europe Design Automation, 2021

A Hospital Healthcare Monitoring System Using Internet of Things Technologies.

Evaggelos Karvounis, Maria G. Vavva, Nikolaos Giannakeas, Alexandros T. Tzallas, Ioannis Smanis, Markos G. Tsipouras

Proceedings of the 6th South-East Europe Design Automation, 2021

Automatic Parkinson's tremor assessment with data analysis from daily activities.

Vasiliki Fiska, Vasiliki Gakilazou, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras

Proceedings of the 6th South-East Europe Design Automation, 2021

Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals.

Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Avraam Ploumis, Nikolaos Giannakeas

Proceedings of the 6th South-East Europe Design Automation, 2021

Active touch classification using EEG signals.

Vasileios Aspiotis, Dimitrios Peschos, Katerina D. Tzimourta, Markos G. Tsipouras, Al Husein Sami Abosaleh, Evangelos Antoniou, Nikolaos Giannakeas, Alexandros T. Tzallas, Euripidis Glavas

Proceedings of the 6th South-East Europe Design Automation, 2021

Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System.

Alexandros Arjmand, M. Pappas, Odysseas Tsakai, V. Christon, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Evripidis Glavas, Nikolaos Giannakeas

Proceedings of the 6th South-East Europe Design Automation, 2021

2020

Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation.

Kyriakos Koritsoglou, Vasileios Christou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas

Sensors, 2020

Locate the Bounding Box of Neural Networks with Intervals.

Nikolaos P. Anastasopoulos, Ioannis G. Tsoulos, Evaggelos Karvounis, Alexandros T. Tzallas

Neural Process. Lett., 2020

Stopping rules for a parallel genetic algorithm.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Markos G. Tsipouras, Vasileios Christou, Dimitrios G. Tsalikakis

Int. J. Comput. Intell. Stud., 2020

A Lifetime Extension Framework for Wireless Sensor Networks.

Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Eleftherios Stergiou, Konstantinos Oikonomou, Constantinos T. Angelis

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images.

Alexandros Arjmand, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Constantinos T. Angelis, Georgios Tsoumanis, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks.

Vasileios Christou, Georgios Ntritsos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Fetal Heart Beat detection based on Empirical Mode Decomposition, Signal Quality Indices and Correlation Analysis.

Theodoros Lampros, Konstantinos Kalafatakis, Ioannis G. Violaris, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Motor data analysis of Parkinson's disease patients.

Vasiliki Fiska, Nikolaos Giannakeas, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Konstantinos Kalafatakis, Markos G. Tsipouras

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

NNC: A tool based on Grammatical Evolution for data classification and differential equation solving.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis

SoftwareX, 2019

Hybrid extreme learning machine approach for heterogeneous neural networks.

Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Gavin Brown

Neurocomputing, 2019

Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease.

Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Maria Karatzikou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis A. Angelidis, Evripidis Glavas, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Markos G. Tsipouras

Comput. Electr. Eng., 2019

Optimum Capacity over Power Consumption Requirements in MIMO Systems.

Eleftherios Stergiou, Constantinos T. Angelis, Nikolaos Giannakeas, Georgios Tsoumanis, Alexandros T. Tzallas, Evripidis Glavas

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Deep Learning in Liver Biopsies using Convolutional Neural Networks.

Alexandros Arjmand, Constantinos T. Angelis, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Automated Assessment of Pain Intensity Based on EEG Signal Analysis.

Panagiotis A. Bonotis, Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Alexandros T. Tzallas, Nikolaos Giannakeas, Evripidis Glavas, Markos G. Tsipouras

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Evolutionary Based Weight Decaying Method for Neural Network Training.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis

Neural Process. Lett., 2018

Hybrid extreme learning machine approach for homogeneous neural networks.

Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas

Neurocomputing, 2018

Designing a gamified social platform for people living with dementia and their live-in family caregivers.

Alexandros T. Tzallas, Nikolaos S. Katertsidis, Konstantinos Glykos, Sofia Segkouli, Konstantinos Votis, Dimitrios Tzovaras, Cristian Barrué, Ioannis Paliokas, Ulises Cortés

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques.

Alexandros Arjmand, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Nikolaos S. Katertsidis, Nikolaos Giannakeas

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

Random Forests with Stochastic Induction of Decision Trees.

Markos G. Tsipouras, Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Nikolaos Giannakeas, Alexandros T. Tzallas

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing.

Maria Tsiplakidou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou

Inf., 2017

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.

Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Ioannis G. Tsoulos, Epameinondas Tsianos

Comput. Methods Programs Biomed., 2017

Wavelet Based Classification of Epileptic Seizures in EEG Signals.

Katerina D. Tzimourta, Loukas G. Astrakas, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Spyridon Konitsiotis

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software.

Alexandros T. Tzallas, Nikolaos Giannakeas, Kostantinos N. Zoulis, Markos G. Tsipouras, Euripidis Glavas, Katerina D. Tzimourta, Loukas G. Astrakas, Spyridon Konitsiotis

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm.

Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Markos G. Tsipouras, Dimitrios G. Tsalikakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging.

Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Maria G. Vavva, Maria Tsimplakidou, Evaggelos C. Karvounis, Roberta Forlano, Pinelopi Manousou

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Gamification in Social Networking: A Platform for People Living with Dementia and their Caregivers.

Ioannis Paliokas, Alexandros T. Tzallas, Nikolaos S. Katertsidis, Konstantinos Votis, Dimitrios Tzovaras

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

Protein Structure Recognition by Means of Sequential Pattern Mining.

Anna N. Ntagiou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

Image Enhancement of Routine Biopsies: A Case for Liver Tissue Detection.

Nikolaos Giannakeas, Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Roberta Forlano, Alexandros T. Tzallas

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

PDoublePop: An implementation of parallel genetic algorithm for function optimization.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis

Comput. Phys. Commun., 2016

Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing.

Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Nikolaos Giannakeas, Alexandros T. Tzallas

Proceedings of the 18th IEEE Conference on Business Informatics, 2016

2015

A cardiovascular simulator tailored for training and clinical uses.

Libera Fresiello, Gianfranco Ferrari, Arianna Di Molfetta, Krzysztof Zielinski, Alexandros T. Tzallas, Steven Jacobs, Marek Darowski, Maciej Kozarski, Bart Meyns, Nikolaos S. Katertsidis, E. C. Karvounis, Markos G. Tsipouras, Maria Giovanna Trivella

J. Biomed. Informatics, 2015

A clustering based method for collagen proportional area extraction in liver biopsy images.

Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Kalliroi Kyriakidi, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Evaggelos Karvounis, Vasileios Tsianos, Epameinondas Tsianos

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease.

Alexandros T. Tzallas, Markos G. Tsipouras, Georgios Rigas, Dimitrios G. Tsalikakis, Evaggelos Karvounis, Maria Chondrogiorgi, Fotis Psomadellis, Jorge Cancela, Matteo Pastorino, María Teresa Arredondo Waldmeyer, Spiros Konitsiotis, Dimitrios I. Fotiadis

Sensors, 2014

Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors.

Jorge Cancela, Matteo Pastorino, Alexandros T. Tzallas, Markos G. Tsipouras, Giorgios Rigas, María Teresa Arredondo, Dimitrios I. Fotiadis

Sensors, 2014

Modeling and simulation of speed selection on left ventricular assist devices.

Alexandros T. Tzallas, Nikolaos S. Katertsidis, Evaggelos Karvounis, Markos G. Tsipouras, George Rigas, Yorgos Goletsis, Krzysztof Zielinski, Libera Fresiello, Arianna Di Molfetta, Gianfranco Ferrari, John V. Terrovitis, Maria Giovanna Trivella, Dimitrios I. Fotiadis

Comput. Biol. Medicine, 2014

A-Class: a novel classification method.

Ioannis G. Tsoulos, Alexandros T. Tzallas, Euripidis Glavas

Proceedings of the 18th Panhellenic Conference on Informatics, 2014

A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease.

Markos G. Tsipouras, Alexandros T. Tzallas, Evaggelos Karvounis, Dimitrios G. Tsalikakis, Jorge Cancela, Matteo Pastorino, María Teresa Arredondo Waldmeyer, Spiros Konitsiotis, Dimitrios I. Fotiadis

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Automatic detection of freezing of gait events in patients with Parkinson's disease.

Evanthia E. Tripoliti, Alexandros T. Tzallas, Markos G. Tsipouras, George Rigas, Panagiota Bougia, Michael Leontiou, Spiros Konitsiotis, Maria Chondrogiorgi, Sofia Tsouli, Dimitrios I. Fotiadis

Comput. Methods Programs Biomed., 2013

Adverse event prediction in patients with left ventricular assist devices.

Markos G. Tsipouras, Evaggelos C. Karvounis, Alexandros T. Tzallas, Nikolaos S. Katertsidis, Yorgos Goletsis, Maria Frigerio, Alessandro Verde, Maria Giovanna Trivella, Dimitrios I. Fotiadis

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An automatic electroencephalography blinking artefact detection and removal method based on template matching and ensemble empirical mode decomposition.

Paschalis A. Bizopoulos, Tarik Al-Ani, Dimitrios G. Tsalikakis, Alexandros T. Tzallas, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Denoising simulated EEG signals: A comparative study of EMD, wavelet transform and Kalman filter.

Christos I. Salis, Anastasios E. Malissovas, Paschalis A. Bizopoulos, Alexandros T. Tzallas, Pantelis A. Angelidis, Dimitrios G. Tsalikakis

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

EEG epileptic seizure detection using k-means clustering and marginal spectrum based on ensemble empirical mode decomposition.

Paschalis A. Bizopoulos, Dimitrios G. Tsalikakis, Alexandros T. Tzallas, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Effects of Exercise in Diabetic Rats Using Continuous Wavelet Transform.

Dimitrios G. Tsalikakis, Ioannis Nakos, Alexandros T. Tzallas, Evaggelos Karvounis, Markos G. Tsipouras

Proceedings of the Ambient Media and Systems - Third International ICST Conference, 2013

Managing Children's Asthma with a Low Cost Web-Enabled Multifunctional Device.

Ioannis Smanis, George Poursanidis, Pantelis A. Angelidis, Alexandros T. Tzallas, Dimitrios G. Tsalikakis

Proceedings of the Ambient Media and Systems - Third International ICST Conference, 2013

2012

Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors.

George Rigas, Alexandros T. Tzallas, Markos G. Tsipouras, Panagiota Bougia, Evanthia E. Tripoliti, Dina Baga, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis

IEEE Trans. Inf. Technol. Biomed., 2012

Using partial decision trees to predict Parkinson's symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson's disease.

Themis P. Exarchos, Alexandros T. Tzallas, Dina Baga, Dimitra Chaloglou, Dimitrios I. Fotiadis, Sofia Tsouli, Maria Diakou, Spiros Konitsiotis

Comput. Biol. Medicine, 2012

An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals.

Markos G. Tsipouras, Alexandros T. Tzallas, George Rigas, Sofia Tsouli, Dimitrios I. Fotiadis, Spiros Konitsiotis

Artif. Intell. Medicine, 2012

Automated knowledge-based fuzzy models generation for weaning of patients receiving Ventricular Assist Device (VAD) therapy.

Markos G. Tsipouras, Evaggelos C. Karvounis, Alexandros T. Tzallas, Yorgos Goletsis, Dimitrios I. Fotiadis, Stamatis Adamopoulos, Maria Giovanna Trivella

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Knowledge editor and execution engine development for optimal ventricular assist device weaning.

Evaggelos C. Karvounis, Markos G. Tsipouras, Alexandros T. Tzallas, Yorgos Goletsis, Dimitrios I. Fotiadis, John V. Terrovitis, Maria Giovanna Trivella

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A Gaussian Mixture Model to detect suction events in rotary blood pumps.

Alexandros T. Tzallas, George Rigas, Evaggelos Karvounis, Markos G. Tsipouras, Yorgos Goletsis, Krzysztof Zielinski, Libera Fresiello, Dimitrios I. Fotiadis, Maria Giovanna Trivella

Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

A treatment decision support system for patients receiving Ventricular Assist Device (VAD) therapy.

Evaggelos Karvounis, Kostas A. Stefanou, Themis P. Exarchos, Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011

On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease.

Markos G. Tsipouras, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spyridon Konitsiotis

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

On Assessing Motor Disorders in Parkinson's Disease.

Markos G. Tsipouras, Alexandros T. Tzallas, Evanthia E. Tripoliti, Georgios Rigas, Panagiota Bougia, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis

Proceedings of the Wireless Mobile Communication and Healthcare, 2010

2009

Epileptic Seizure Detection in EEGs Using Time-Frequency Analysis.

Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis

IEEE Trans. Inf. Technol. Biomed., 2009

2008

A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification.

Petros S. Karvelis, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Ioannis Georgiou

IEEE Trans. Medical Imaging, 2008

2007

A Kalman filter based methodology for EEG spike enhancement.

Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis

Comput. Methods Programs Biomed., 2007

Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks.

Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis

Comput. Intell. Neurosci., 2007

A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings.

Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis

Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

Region Based Segmentation and Classification of Multispectral Chromosome Images.

Petros S. Karvelis, Dimitrios I. Fotiadis, Alexandros T. Tzallas, Ioannis Georgiou

Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006

EEG Transient Event Detection and Classification Using Association Rules.

Themis P. Exarchos, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos

IEEE Trans. Inf. Technol. Biomed., 2006

Epileptic Spike Detection Using a Kalman Filter Based Approach.

Alexandros T. Tzallas, Vangelis P. Oikonomou, Dimitrios I. Fotiadis

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

A Data Mining Based Approach for the EEG Transient Event Detection and Classification.

Themis P. Exarchos, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005