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 (CBMS, 2005)

Epileptic Spike Detection Using a Kalman Filter Based Approach. - Alexandros T. Tzallas; Vangelis P. Oikonomou; Dimitrios I. Fotiadis (EMBC, 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)

Region Based Segmentation and Classification of Multispectral Chromosome Images. - Petros S. Karvelis; Dimitrios I. Fotiadis; Alexandros T. Tzallas; Ioannis Georgiou (CBMS, 2007)

A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings. - Alexandros T. Tzallas; Markos G. Tsipouras; Dimitrios I. Fotiadis (CBMS, 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 Kalman filter based methodology for EEG spike enhancement. - Vangelis P. Oikonomou; Alexandros T. Tzallas; Dimitrios I. Fotiadis (Comput. Methods Programs Biomed., 2007)

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)

Epileptic Seizure Detection in EEGs Using Time-Frequency Analysis. - Alexandros T. Tzallas; Markos G. Tsipouras; Dimitrios I. Fotiadis (IEEE Trans. Inf. Technol. Biomed., 2009)

On Assessing Motor Disorders in Parkinson's Disease. - Markos G. Tsipouras; Alexandros T. Tzallas; Evanthia E. Tripoliti; Georgios Rigas 001; Panagiota Bougia; Dimitrios I. Fotiadis; Sofia Tsouli; Spiros Konitsiotis (MobiHealth, 2010)

On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease. - Markos G. Tsipouras; Alexandros T. Tzallas; Dimitrios I. Fotiadis; Spyridon Konitsiotis (EMBC, 2011)

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 (BHI, 2012)

A Gaussian Mixture Model to detect suction events in rotary blood pumps. - Alexandros T. Tzallas; George Rigas 001; Evaggelos Karvounis; Markos G. Tsipouras; Yorgos Goletsis; Krzysztof Zielinski; Libera Fresiello; Dimitrios I. Fotiadis; Maria Giovanna Trivella (BIBE, 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 (EMBC, 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 (EMBC, 2012)

An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals. - Markos G. Tsipouras; Alexandros T. Tzallas; George Rigas 001; Sofia Tsouli; Dimitrios I. Fotiadis; Spiros Konitsiotis (Artif. Intell. Medicine, 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)

Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors. - George Rigas 001; 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)

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 (AMBI-SYS, 2013)

Effects of Exercise in Diabetic Rats Using Continuous Wavelet Transform. - Dimitrios G. Tsalikakis; Ioannis Nakos; Alexandros T. Tzallas; Evaggelos Karvounis; Markos G. Tsipouras (AMBI-SYS, 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 (BIBE, 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 (BIBE, 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 (EMBC, 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 (EMBC, 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 001; Panagiota Bougia; Michael Leontiou; Spiros Konitsiotis; Maria Chondrogiorgi; Sofia Tsouli; Dimitrios I. Fotiadis (Comput. Methods Programs Biomed., 2013)

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 (BHI, 2014)

A-Class: a novel classification method. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Euripidis Glavas (Panhellenic Conference on Informatics, 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 001; Yorgos Goletsis; Krzysztof Zielinski; Libera Fresiello; Arianna Di Molfetta; Gianfranco Ferrari; John V. Terrovitis; Maria Giovanna Trivella; et al. (Comput. Biol. Medicine, 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)

PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease. - Alexandros T. Tzallas; Markos G. Tsipouras; Georgios Rigas 001; Dimitrios G. Tsalikakis; Evaggelos Karvounis; Maria Chondrogiorgi; Fotis Psomadellis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I. Fotiadis (Sensors, 2014)

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 (EMBC, 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; et al. (J. Biomed. Informatics, 2015)

Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing. - Maria Tsiplakidou; Markos G. Tsipouras; Pinelopi Manousou; Nikolaos Giannakeas; Alexandros T. Tzallas (CBI (2), 2016)

PDoublePop: An implementation of parallel genetic algorithm for function optimization. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Dimitrios G. Tsalikakis (Comput. Phys. Commun., 2016)

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 (BIBE, 2017)

Protein Structure Recognition by Means of Sequential Pattern Mining. - Anna N. Ntagiou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (BIBE, 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 (BIBE, 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 (CBMS, 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 (CBMS, 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 (CBMS, 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 (CBMS, 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)

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)

Random Forests with Stochastic Induction of Decision Trees. - Markos G. Tsipouras; Dimosthenis C. Tsouros; Panagiotis N. Smyrlis; Nikolaos Giannakeas; Alexandros T. Tzallas (ICTAI, 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 (PETRA, 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 (PETRA, 2018)

Hybrid extreme learning machine approach for homogeneous neural networks. - Vasileios Christou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Neurocomputing, 2018)

Evolutionary Based Weight Decaying Method for Neural Network Training. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Dimitrios G. Tsalikakis (Neural Process. Lett., 2018)

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 (BIBE, 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 (TSP, 2019)

Optimum Capacity over Power Consumption Requirements in MIMO Systems. - Eleftherios Stergiou; Constantinos T. Angelis; Nikolaos Giannakeas; Georgios Tsoumanis; Alexandros T. Tzallas; Evripidis Glavas (TSP, 2019)

Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease. - Katerina D. Tzimourta; Theodora Afrantou; Panagiotis Ioannidis 002; 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)

Hybrid extreme learning machine approach for heterogeneous neural networks. - Vasileios Christou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas; Gavin Brown 001 (Neurocomputing, 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)

Motor data analysis of Parkinson's disease patients. - Vasiliki Fiska; Nikolaos Giannakeas; Nikolaos S. Katertsidis; Alexandros T. Tzallas; Konstantinos Kalafatakis; Markos G. Tsipouras (BIBE, 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 (BIBE, 2020)

Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. - Vasileios Christou; Georgios Ntritsos; Alexandros T. Tzallas; Markos G. Tsipouras; Nikolaos Giannakeas (IJCNN, 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 (TSP, 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 (TSP, 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)

Locate the Bounding Box of Neural Networks with Intervals. - Nikolaos P. Anastasopoulos; Ioannis G. Tsoulos; Evaggelos Karvounis; Alexandros T. Tzallas (Neural Process. Lett., 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)

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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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)

Improving the PSO method for global optimization problems. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evaggelos Karvounis (Evol. Syst., 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 001; Dimitrios G. Tsalikakis; Markos G. Tsipouras (Int. J. Neural Syst., 2021)

IoT Micro-Blockchain Fundamentals. - Aristidis G. Anagnostakis; Nikolaos Giannakeas; Markos G. Tsipouras; Euripidis Glavas; Alexandros T. Tzallas (Sensors, 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)

A Novel Sampling Technique for Multistart-Based Methods. - Ioannis G. Tsoulos; Evangelos Karvounis; Alexandros T. Tzallas (SN Comput. Sci., 2021)

GenClass: A parallel tool for data classification based on Grammatical Evolution. - Nikolaos P. Anastasopoulos; Ioannis G. Tsoulos; Alexandros T. Tzallas (SoftwareX, 2021)

An Improved Controlled Random Search Method. - Vasileios Charilogis; Ioannis G. Tsoulos; Alexandros T. Tzallas; Nikolaos P. Anastasopoulos (Symmetry, 2021)

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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 001; Markos G. Tsipouras (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 2022)

Motor Imagery Approach for BCI Game Development. - Georgios Prapas; Kosmas Glavas; Alexandros T. Tzallas; Katerina D. Tzimourta; Nikolaos Giannakeas; Markos G. Tsipouras (SEEDA-CECNSM, 2022)

A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era. - Konstantinos Sakkas; Niki Eleni Ntagka; Panagiota Vinni; Paraskevi Artemi; Aristidis G. Anagnostakis; Nikolaos Giannakeas; Katerina D. Tzimourta; Alexandros T. Tzallas; Euripidis Glavas (SEEDA-CECNSM, 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 (SEEDA-CECNSM, 2022)

Applied Virtual Reality in 3D Geometry. - Konstantinos Sakkas; Alexandra Tsogka; Nikolaos Giannakeas; Katerina D. Tzimourta; Alexandros T. Tzallas; Euripidis Glavas (SEEDA-CECNSM, 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 (TSP, 2022)

Pediatric Epilepsy Assessment Based on EEG Analysis. - Yannis Misirlis; Katerina D. Tzimourta; Pantelis Angelidis 001; Nikolaos Giannakeas; Alexandros T. Tzallas; Markos G. Tsipouras (TSP, 2022)

RbfDeSolver: A Software Tool to Approximate Differential Equations Using Radial Basis Functions. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis (Axioms, 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)

An improved multi-start-based method for global optimisation problems. - Ioannis G. Tsoulos; Alexandros T. Tzallas (Int. J. Comput. Intell. Stud., 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)

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)

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)

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)

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)

Modifications for the Differential Evolution Algorithm. - Vasileios Charilogis; Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis (Symmetry, 2022)

Prediction of COVID-19 Cases Using Constructed Features by Grammatical Evolution. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Dimitrios G. Tsalikakis (Symmetry, 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., 2022)

A Novel Approach for Cancer Image Segmentation. - Panagiotis N. Smyrlis; Konstantinos Vogklis; Odysseas Tsakai; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (BIBM, 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 (BIBM, 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 (CBMS, 2023)

Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform. - Theodoros Lampros; Nikolaos Giannakeas; Konstantinos Kalafatakis; Markos G. Tsipouras; Alexandros T. Tzallas (AIAI (Workshops), 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 (SEEDA-CECNSM, 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)

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)

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)

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)

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)

Train RBF networks with a hybrid genetic algorithm. - Ioannis G. Tsoulos; Nikolaos P. Anastasopoulos; Georgios Ntritsos; Alexandros T. Tzallas (Evol. Intell., 2023)

NeuralMinimizer: A Novel Method for Global Optimization. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis; Dimitrios G. Tsalikakis (Inf., 2023)

Bound the Parameters of Neural Networks Using Particle Swarm Optimization. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis; Dimitrios G. Tsalikakis (Comput., 2023)

Virtual and Augmented Experience in Virtual Learning Tours. - Fotios Bosmos; Alexandros T. Tzallas; Markos G. Tsipouras; Evripidis Glavas; Nikolaos Giannakeas (Inf., 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 002; Nikolaos Grigoriadis; Dimitrios G. Tsalikakis; Pantelis Angelidis 001; Markos G. Tsipouras; Euripidis Glavas; Nikolaos Giannakeas; Alexandros T. Tzallas (Data, 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, 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., 2023)

Constructing the Bounds for Neural Network Training Using Grammatical Evolution. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis (Comput., 2023)

An Improved Parallel Particle Swarm Optimization. - Vasileios Charilogis; Ioannis G. Tsoulos; Alexandros T. Tzallas (SN Comput. Sci., 2023)

Empowering Individuals With Disabilities: A 4-DoF BCI Wheelchair Using MI and EOG Signals. - Kosmas Glavas; Katerina D. Tzimourta; Alexandros T. Tzallas; Nikolaos Giannakeas; Markos G. Tsipouras (IEEE Access, 2024)

ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment. - Yihe Wang; Nadia Mammone; Darina Petrovsky; Alexandros T. Tzallas; Francesco Carlo Morabito; Xiang Zhang 012 (CoRR, 2024)

Solving differential equations with global optimisation techniques. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Dimitrios G. Tsalikakis (Int. J. Comput. Intell. Stud., 2024)

Applying Bounding Techniques on Grammatical Evolution. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis (Comput., 2024)

Using Optimization Techniques in Grammatical Evolution. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Evangelos Karvounis (Future Internet, 2024)

Personalized Visualization of the Gestures of Parkinson's Disease Patients with Virtual Reality. - Konstantinos Sakkas; Eirini Georgia Dimitriou; Niki Eleni Ntagka; Nikolaos Giannakeas; Konstantinos Kalafatakis; Alexandros T. Tzallas; Evripidis Glavas (Future Internet, 2024)

How natural language processing derived techniques are used on biological data: a systematic review. - Emmanouil D. Oikonomou; Petros S. Karvelis; Nikolaos Giannakeas; Aristidis G. Vrahatis; Evripidis Glavas; Alexandros T. Tzallas (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis. - Andreas Miltiadous; Konstantinos Sakkas; Emmanouil D. Oikonomou; Aimilia Ntetska; Nikolaos Giannakeas; Alexandros T. Tzallas (CBMS, 2025)

Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG Analysis. - Niki Eleni Ntagka; Emmanouil D. Oikonomou; Konstantinos Sakkas; Vasileios Choutas; Vasileios Aspiotis; Nikolaos Giannakeas; Alexandros T. Tzallas; Andreas Miltiadous (CBMS, 2025)

An evolutionary extreme learning machine algorithm for multi-cube unit single-layer neural networks. - Vasileios Christou; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Georgios Tsoumanis; Nikolaos Giannakeas (Appl. Soft Comput., 2025)

A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer's Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG. - Aimilia Ntetska; Andreas Miltiadous; Markos G. Tsipouras; Katerina D. Tzimourta; Theodora Afrantou; Panagiotis Ioannidis 002; Dimitrios G. Tsalikakis; Konstantinos Sakkas; Emmanouil D. Oikonomou; Nikolaos Grigoriadis; Pantelis Angelidis 001; Nikolaos Giannakeas; et al. (Data, 2025)

X-Balloon: A cloud-based platform for annotation and reinforced deep learning in digital pathology images. - Odysseas Tsakai; Andreas Miltiadous; Panagiotis N. Smyrlis; Alexandros T. Tzallas; Markos G. Tsipouras; Nikolaos Giannakeas (SoftwareX, 2025)

OPTIMUS: A Multidimensional Global Optimization Package. - Ioannis G. Tsoulos; Vasileios Charilogis; Glykeria Kyrou; Vasileios N. Stavrou; Alexandros T. Tzallas (J. Open Source Softw., 2025)