Author

Date Item Type No Grouping

Article

Early-Fusion Paired-Channel ECG Scalograms and Transfer Learning for Record-Level Classification of Arrhythmia, Congestive Heart Failure and Normal Sinus Rhythm. (2026) Esfandiar Khaleghi, Olga Duran, Iosif Mporas and Andy Augousti

Artificial Intelligence in Demand and Capacity Modelling of Healthcare Systems. (2026) Caio Ribeiro, Yulei Fan, Charlotte Mullins, Sam Williamson, Jennifer Beard, Pandelis Kourtessis and Iosif Mporas

Glioma Identification from microRNA Biomarkers using Machine Learning. (2026) Rakesh Kanth Andugala, Alyson Cieslik, Maria Braoudaki and Iosif Mporas

Electricity Theft Detection from Electricity, Gas and Water Measurements using Machine Learning. (2026) Fayiz Alfaverh, Hock Gan, Volodymyr Miroshnyk, Zaid Bin Saeed, Ihor Blinov, Pavlo Shymaniuk, Pouya Tarassodi and Iosif Mporas

Multi-Attribute Physical-Layer Authentication Against Jamming and Battery-Depletion Attacks in LoRaWAN. (2026) Azita Pourghasem, Raimund Kirner, Athanasios Tsokanos, Iosif Mporas and Alexios Mylonas

Multivariate Constrained Elastic Matching with Application in Real-time Energy Disaggregation. (2025) Pascal Schirmer, Dimitrios Kolosov and Iosif Mporas

An Instrumental High-Frequency Smart Meter with Embedded Energy Disaggregation. (2025) Dimitrios Kolosov, Matthew Robinson, Pascal Schirmer and Iosif Mporas

Identification of A New Lung Cancer Biomarker Signature using Data Mining and Preliminary In-Vitro Validation. (2025) Ferid Ben Ali, Denis Mustafov, Maria Braoudaki, Sola Adeleke and Iosif Mporas

Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients. (2025) L. Sharma, V. Balaji, A. Katumba, E. Mohan, I. Mporas, D. Alrifai, J. Chow, T. Sevitt, K. Nathan, R. Shah, J.S.C. Waters and S. Adeleke

Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques to Hyperspectral Images. (2025) Lizzie Williams, Pancham Shukla, Akbar Sheikh-Akbari, Sina Mahroughi and Iosif Mporas

Machine Learning and Deep Learning-Based Multi-Attribute Physical-Layer Authentication for Spoofing Detection in LoRaWAN. (2025) Azita Pourghasem, Raimund Kirner, Athanasios Tsokanos, Iosif Mporas and Alexios Mylonas

PyDTS: A Python Toolkit for Deep Learning Time Series Modelling. (2024) Pascal A. Schirmer and Iosif Mporas

HyperVein: A Hyperspectral Image Dataset for Human Vein Detection. (2024) Henry Ndu, Akbar Sheikh-Akbari, Jiamei Deng and Iosif Mporas

Source Camera Identification Techniques: A Survey. (2024) Chijioke Emeka Nwokeji, Akbar Sheikh-Akbari, Anatoliy Gorbenko and Iosif Mporas

Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware. (2023) Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis and Iosif Mporas

Microbiological Quality Estimation of Meat Using Deep CNNs on Embedded Hardware Systems. (2023) Dimitrios Kolosov, Lemonia-Christina Fengou, Jens Michael Carstensen, Nette Schultz, George-John Nychas and Iosif Mporas

A machine learning approach for predicting critical factors determining adoption of off-site construction in Nigeria. (2022) Godoyon Wusu, Hafiz Alaka, Wasiu Yusuf, Iofis Mporas, Luqman Toriola-Coker and Raphael Oseghale

Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection. (2022) Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis and Iosif Mporas

Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics. (2022) Christian Nnaemeka Egwim, Hafiz Alaka, Oluwapelumi Egunjobi, Alvaro Gomes and Iosif Mporas picture_as_pdf

2D Transformations of Energy Signals for Energy Disaggregation. (2022) Pascal Schirmer and Iosif Mporas

Device and Time Invariant Features for Transferable Non-Intrusive Load Monitoring. (2022) Pascal Schirmer and Iosif Mporas

SIEMS: A Secure Intelligent Energy Management System for Industrial IoT Applications. (2022) Pedram Asef, Rahim Taheri, Mohammad Shojafar, Iosif Mporas and Rahim Tafazoli

Double Fourier Integral Analysis based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation. (2021) Pascal A. Schirmer and Iosif Mporas

Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation. (2021) Pascal Schirmer, Iosif Mporas and Akbar Sheikh-Akbari

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages. (2021) Pascal Schirmer, Christian Geiger and Iosif Mporas

On the Non-Intrusive Extraction of Residents’ Privacy and Security Sensitive Information from Energy Smart Meters. (2021) Pascal Schirmer and Iosif Mporas

A Multimodal User Interface for an Assistive Robotic Shopping Cart. (2020) Dmitry Ryumin, Ildar Kagirov, Alexandr Axyonov, Nikita Pavlyuk, Anton Saveliev, Irina Kipyatkova, Milos Zelezny, Iosif Mporas and Alexey Karpov

Illegal Logging Detection Based on Acoustic Surveillance of Forest. (2020) Iosif Mporas, Isidoros Perikos, Vasilios Kelefouras and Michael Paraskevas

Estimation of the Microbiological Quality of Meat using Rapid and Non-Invasive Spectroscopic Sensors. (2020) Lemonia Christina Fengou, Iosif Mporas, Evgenia Spyrelli, Alexandra Lianou and George-John Nychas

Iterative Robust Semi-Supervised Missing Data Imputation. (2020) Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis and Iosif Mporas

Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors. (2020) Pascal Schirmer, Iosif Mporas and Akbar Sheikh-Akbari

Evaluation of Features in Detection of Dislike Responses to Audio–Visual Stimuli from EEG Signals. (2020) Firgan Feradov, Iosif Mporas and Todor Ganchev

Sentiment Analysis of Teachers Using Social Information in Educational Platform Environments. (2020) Nikolaos Spatiotis, Isidoros Perikos, Iosif Mporas and Michael Paraskevas

Robust energy disaggregation using appliance-specific temporal contextual information. (2020) Pascal Schirmer, Iosif Mporas and Akbar Sheikh-Akbari

Energy Disaggregation Using Elastic Matching Algorithms. (2020) Pascal Schirmer, Iosif Mporas and Michael Paraskevas

Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation. (2019) Pascal Schirmer and Iosif Mporas

Colour Constancy for Image of Non-Uniformly Lit Scenes. (2019) Md Akmol Hussain, Akbar Sheikh-Akbari and Iosif Mporas

Data-Driven Audio Feature Space Clustering for Automatic Sound Recognition in Radio Broadcast News. (2017) Iosif Mporas, Theodoros Theodorou and Nikos Fakotakis

Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis. (2017) Iosif Mporas

Spike pattern recognition by supervised classification in low dimensional embedding space. (2016) Iosif Mporas

Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients. (2016) Iosif Mporas, Dimitrios Triantafyllopoulos and Vasileios Megalooikonomou

A high-performance matrix–matrix multiplication methodology for CPU and GPU architectures. (2016) Iosif Mporas, Vasilios Kelefouras, Angeliki Kritikakou and Vasilios Kolonias

Improving classification of epileptic and non-epileptic EEG events by feature selection. (2016) Iosif Mporas, Evangelia Pippa, Evangelia I. Zacharaki, Vasiliki Tsirka, Mark P. Richardson, Michael Koutroumanidis and Vasileios Megalooikonomou

Classifying tree structures using elastic matching of sequence encodings. (2015) Iosif Mporas

Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients. (2015) Iosif Mporas

Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals. (2014) Iosif Mporas, Vasileios G. Knas and Heather L. Benz picture_as_pdf

Wavelet basis selection for enhanced speech parametrization in speaker verification. (2014) Iosif Mporas, Todor Ganchev, Mihalis Siafarikas and Tsenka Stoyanova

Book Section

Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma. (2021) Prasitthichai Naronglerdrit and Iosif Mporas

Conference or Workshop Item

Distributed Predictive Maintenance Architecture for Edge Sensors Networks: An Optimal Regression Based Machine Learning Model. (2024) Jacob Greasley, Oluyomi Simpson and Iosif Mporas

Book

Proceedings of Abstracts Engineering and Computer Science Research Conference 2019. (2019) Richard Nwawe, Marzio Grasso, Yong Kang CHEN, Jan Klusak, Vincenzo Rosiello, Nathan Counsell, Mohammad Reza Herfatmanesh, Helen Partou, Catherine Menon, Trevor Barker, Vito Veneziano, Raimund Kirner, Olga Tveretina, Alok Verma, Peter Lane, Mariana Lilley, Paul Canoville, Matthew Robinson, Brian Crook, Samantha Hall, Richard Kaye, Ian Johnston, Daniel McCluskey, Mark Tracey, Ian Munro, Yuan Wang, Bjorn Suckow, Ingo Klaholz, Damien Drix, Verena Vanessa Hafner, Michael Schmuker, Ankur Sinha, Christoph Metzner, Neil Davey, Roderick Adams, Volker Steuber, Rebecca Miko, Gilles Toffe, Guogang Ren, Diogo Montalvão, Sikiru O. Ismail, James Newman, Hom Dhakal, Funlade Sunmola, Deepak Panday, Na Helian, Daerefa-a Amafabia, Opukuro David-West, George Haritos, Pascal Schirmer, Iosif Mporas, Grigorios Skaltsas, Rana Siadati, Paul Wernick, Samuel Sutton, Himayasri Rao Lekkala, Paul Sayers, Imran Khan, Lola Cañamero, Eheda Hassan, Mouloud Denai, Georgios Pissanidis, Julia Goncharenko, Maria Schilstra, Nathan Beka, Rene te Boekhorst, Agnes Bonivart, Chrystopher Nehaniv, Shabnam Kadir, Ronakben Bhavsar, Yi Sun, David Mayor, Tony Steffert, Yong Kang CHEN, Andreas Chrysanthou, Ian Johnston, Raimund Kirner, Pandelis Kourtessis, Daniel McCluskey, Daniel Polani, Volker Steuber and Yichuang Sun