\(\)\(ε\)\(χ\)\(ν\)\(ι\)\(κ\)\(ε\)\(\) \(ψ\)\(η\)\(φ\)\(ι\)\(α\)\(κ\)\(η\)\(\) \(ε\)\(π\)\(ε\)\(ξ\)\(ε\)\(ρ\)\(γ\)\(α\)\(σ\)\(ι\)\(α\)\(\) \(ε\)\(ι\)\(κ\)ó\(ν\)\(α\)\(\) \(γ\)\(ι\)\(α\) \(τ\)\(η\)\(ν\) \(α\)\(ν\)\'α\(λ\)\(υ\)\(σ\)\(η\) \(μ\)\(ι\)\(κ\)\(ρ\)\(o\)\(σ\)\(κ\)\(o\)\(π\)\(ι\)\(κ\)\(η\)\(\) \(α\)\(π\)\(ε\)\(ι\)\(κ\)ó\(ν\)\(ι\)\(σ\)\(η\)\(\) \(ι\)\(σ\)\(τ\)\(o\)\(π\)\(α\) exttheta\(o\)\(λ\)\(o\)\(γ\)\(ι\)\(α\)\(\) - Alexandros Arjmand (University of Ioannina, Greece, 2023)

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)

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 (7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2022, Ioannina, Greece, September 23-25, 2022, 2022)

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)

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 (6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2021, Preveza, Greece, September 24-26, 2021, 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 (6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2021, Preveza, Greece, September 24-26, 2021, 2021)

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 (43rd International Conference on Telecommunications and Signal Processing, TSP 2020, Milan, Italy, July 7-9, 2020, 2020)

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 (42nd International Conference on Telecommunications and Signal Processing, TSP 2019, Budapest, Hungary, July 1-3, 2019, 2019)

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, PETRA 2018, Corfu, Greece, June 26-29, 2018, 2018)