Intelligent Access Network Selection in Heterogeneous Networks - Simulation Results. - Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Artemis A. Koutsorodi; Michael E. Theologou (ISWCS, 2005)

Reconfigurations Selection in Cognitive, Beyond 3G, Radio Infrastructures. - Panagiotis Demestichas; George Dimitrakopoulos 001; Kostas Tsagkaris; Konstantinos P. Demestichas; Jenny Adamopoulou (CrownCom, 2006)

User Profiling and Preference Modelling in 4G Terminals. - Artemis A. Koutsorodi; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou (PIMRC, 2006)

The Motive Concept - Enabling Mobile Terminals to Act as Sensors. - Michael Masikos; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Christos Desiniotis (WINSYS, 2006)

Terminal Management and Intelligent Access Selection in Heterogeneous Environments. - Artemis A. Koutsorodi; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou (Mob. Networks Appl., 2006)

Distributed Web-based Management Framework for Ambient Reconfigurable Services in the Intelligent Environment. - Vera Stavroulaki; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Panagiotis Demestichas (Mob. Networks Appl., 2006)

Towards Ambient Community Services. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael E. Theologou; Christos Desiniotis; John G. Markoulidakis (DS-RT, 2007)

Architecture and Scalability Issues for the Provision of Anonymous Real-Time Mobile Community Services. - Evgenia F. Adamopoulou; Konstantinos P. Demestichas; C. Dessiniotis; John G. Markoulidakis; Michael E. Theologou (PIMRC, 2007)

A management scheme for distributed cross-layer reconfigurations in the context of cognitive B3G infrastructures. - George Dimitrakopoulos 001; Kostas Tsagkaris; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Panagiotis Demestichas (Comput. Commun., 2007)

Service configuration and user profiling in 4G terminals. - Artemis A. Koutsorodi; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou (Wirel. Pers. Commun., 2007)

Enhanced estimation of configuration capabilities in cognitive radio. - Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou (IEEE Commun. Mag., 2008)

Enhancing cognitive radio systems with robust reasoning. - Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Panagiotis Demestichas; Michael E. Theologou (Int. J. Commun. Syst., 2008)

User Profile Modeling in the context of web-based learning management systems. - Yiouli Kritikou; Panagiotis Demestichas; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou; Maria Paradia (J. Netw. Comput. Appl., 2008)

Modelling user preferences and configuring services in B3G devices. - Konstantinos P. Demestichas; Artemis A. Koutsorodi; Evgenia F. Adamopoulou; Michael E. Theologou (Wirel. Networks, 2008)

Application-layer community-oriented uplink scheduler for CDMA networks. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael E. Theologou (Int. J. Commun. Syst., 2009)

Towards Anonymous Mobile Community services. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; John G. Markoulidakis; Michael E. Theologou (J. Netw. Comput. Appl., 2009)

Intelligent discovery of the capabilities of reconfiguration options in a cognitive wireless B3G context. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael E. Theologou (Soft Comput., 2009)

Enhancing Channel Estimation in Cognitive Radio Systems by means of Bayesian Networks. - Panagiotis Demestichas; Apostolos Katidiotis; Kostas Tsagkaris; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Wirel. Pers. Commun., 2009)

Intelligent Advanced Driver Assistance System for Electric Vehicles. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael Masikos; Wolfgang Kipp; Thomas Benz (Intelligent Vehicles Symposium, 2011)

ECOGEM: A European Framework-7 Project. - Jianmin Jiang; James Charles; Konstantinos P. Demestichas (IEEE Veh. Technol. Mag., 2011)

Advanced Driver Assistance System for Fully Electric Vehicles - Functionalities & use cases. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael Masikos; Roberto Gimenez; Burak Onur (ICVES, 2012)

Intelligent energy consumption estimation for electric vehicles: Business processes and services. - Vasileios Asthenopoulos; Pavlos Kosmides; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (ICCVE, 2014)

Introducing Community Awareness to Location-Based Social Networks. - Pavlos Kosmides; Chara Remoundou; Ioannis V. Loumiotis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (IoT360 (2), 2014)

Optimal Backhaul Resource Management in Wireless-Optical Converged Networks. - Ioannis V. Loumiotis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou (IoT360 (2), 2014)

Community Awareness in Academic Social Networks. - Pavlos Kosmides; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Chara Remoundou; Ioannis V. Loumiotis; Michael E. Theologou (UCC, 2014)

Intelligent and Efficient Car Management Application for Advanced Green Routing. - Ioannis V. Loumiotis; Vasileios Asthenopoulos; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Efstathios D. Sykas (WICON, 2014)

Artificial Neural Networks for Traffic Prediction in 4G Networks. - Ioannis V. Loumiotis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Pavlos Kosmides; Michael E. Theologou (WICON, 2014)

Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach. - Ioannis V. Loumiotis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Theodora A. Stamatiadi; Michael E. Theologou (IEEE Trans. Commun., 2014)

On Intelligent Base Station Activation for Next Generation Wireless Networks. - Pavlos Kosmides; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Miltiades E. Anagnostou; Angelos N. Rouskas (EUSPN/ICTH, 2015)

Energy-efficient routing based on vehicular consumption predictions of a mesoscopic learning model. - Michail Masikos; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael E. Theologou (Appl. Soft Comput., 2015)

On the predictability of next generation mobile network traffic using artificial neural networks. - Ioannis V. Loumiotis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Theodora A. Stamatiadi; Michael E. Theologou (Int. J. Commun. Syst., 2015)

Socially Aware Heterogeneous Wireless Networks. - Pavlos Kosmides; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou; Miltiades E. Anagnostou; Angelos N. Rouskas (Sensors, 2015)

Mesoscopic forecasting of vehicular consumption using neural networks. - Michail Masikos; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michael E. Theologou (Soft Comput., 2015)

A clustering based approach for energy efficient routing. - Pavlos Kosmides; Lambros Lambrinos; Vasilis Asthenopoulos; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (ISCC, 2016)

Providing recommendations on location-based social networks. - Pavlos Kosmides; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Chara Remoundou; Ioannis V. Loumiotis; Michael E. Theologou; Miltiades E. Anagnostou (J. Ambient Intell. Humaniz. Comput., 2016)

Road to Next Generation Mobile Networks: An Evolutionary Dynamics Approach. - Ioannis V. Loumiotis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Chara Remoundou; Pavlos Kosmides; Vasileios Asthenopoulos; Michael E. Theologou (Mob. Networks Appl., 2016)

Dynamic Allocation of Backhaul Resources in Converged Wireless-Optical Networks. - Ioannis V. Loumiotis; Pavlos Kosmides; Evgenia F. Adamopoulou; Konstantinos P. Demestichas; Michael E. Theologou (IEEE J. Sel. Areas Commun., 2017)

5G Communications: Energy Efficiency. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michal Choras (Mob. Inf. Syst., 2017)

InLife: Combining Real Life with Serious Games using IoT. - Pavlos Kosmides; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Nikos Koutsouris; Yannis Oikonomidis; Vanessa De Luca (CIG, 2018)

Pattern Recognition Solutions for Fake News Detection. - Michal Choras; Agata Gielczyk; Konstantinos P. Demestichas; Damian Puchalski; Rafal Kozik (CISIM, 2018)

InLife Ecosystem: Creating Serious Games with IoT Features. - Pavlos Kosmides; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Nikos Koutsouris; Ioannis V. Loumiotis; Victor Ortega; Lorenzo Mureddu (ISMAR Adjunct, 2018)

Road Traffic Prediction Using Artificial Neural Networks. - Ioannis V. Loumiotis; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Pavlos Kosmides; Vasilis Asthenopoulos; Efstathios D. Sykas (SEEDA-CECNSM, 2018)

InLife: a platform enabling the exploitation of IoT and gamification in healthcare. - Nikos Koutsouris; Pavlos Kosmides; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Katerina Giannakopoulou; Vanessa De Luca (WiMob, 2018)

SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation. - Michal Choras; Marek Pawlicki; Rafal Kozik; Konstantinos P. Demestichas; Pavlos Kosmides; Manik Gupta (ARES, 2019)

The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case. - Rafal Kozik; Michal Choras; Marek Pawlicki; Witold Holubowicz; Dirk Pallmer; Wilmuth Müller; Ernst-Josef Behmer; Ioannis V. Loumiotis; Konstantinos P. Demestichas; Roxana Horincar; Claire Laudy; David Faure (ICCCI (2), 2019)

Artificial Ant Colonies for Adaptive Rewards in Serious Games. - Yann Semet; Bruno Marcon; Konstantinos P. Demestichas; Nikos Koutsouris; Antonio Ascolese (ALIFE, 2019)

Exploiting IoT and Big-Data for Building Multiservice Capable Intelligent Transportation Systems. - Theofanis Orphanoudakis; Anastasios Fanariotis; Ilias Politis; Theodoros Karachalios; Konstantinos P. Demestichas; Stavros Xynogalas; Ioannis V. Loumiotis; Efstathios D. Sykas (SEEDA-CECNSM, 2019)

Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project. - Konstantinos P. Demestichas; Thi Bich Ngoc Hoang; Josiane Mothe; Olivier Teste; Md. Zia Ullah (CIRCLE, 2020)

A Semantic Engine and an Ontology Visualization Tool for Advanced Crime Analysis. - Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantina Remoundou; Konstantinos P. Demestichas (KES, 2020)

Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour (short paper). - Konstantinos P. Demestichas; Theodoros Alexakis; Nikolaos Peppes; Konstantina Remoundou; Ioannis V. Loumiotis; Wilmuth Müller; Konstantinos Avgerinakis (TWSDetection, 2020)

Food for Thought: Fighting Fake News and Online Disinformation. - Konstantinos P. Demestichas; Konstantina Remoundou; Evgenia F. Adamopoulou (IT Prof., 2020)

Survey on Security Threats in Agricultural IoT and Smart Farming. - Konstantinos P. Demestichas; Nikolaos Peppes; Theodoros Alexakis (Sensors, 2020)

Common Representational Model and Ontologies for Effective Law Enforcement Solutions. - Rafal Kozik; Michal Choras; Marek Pawlicki; Witold Holubowicz; Dirk Pallmer; Wilmuth Müller; Ernst-Josef Behmer; Ioannis V. Loumiotis; Konstantinos P. Demestichas; Roxana Horincar; Claire Laudy; David Faure (Vietnam. J. Comput. Sci., 2020)

Why Do Law Enforcement Agencies Need AI for Analyzing Big Data? - Aleksandra Pawlicka; Michal Choras; Marcin Przybyszewski; Laurent Belmon; Rafal Kozik; Konstantinos P. Demestichas (CISIM, 2021)

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. - Michal Choras; Konstantinos P. Demestichas; Agata Gielczyk; Álvaro Herrero 001; Pawel Ksieniewicz; Konstantina Remoundou; Daniel Urda; Michal Wozniak 001 (Appl. Soft Comput., 2021)

Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. - Michal Choras; Konstantinos P. Demestichas; Álvaro Herrero 001; Michal Wozniak 001 (Appl. Soft Comput., 2021)

An Advanced Abnormal Behavior Detection Engine Embedding Autoencoders for the Investigation of Financial Transactions. - Konstantinos P. Demestichas; Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou (Inf., 2021)

Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data. - Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2021)

Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0. - Nikolaos Peppes; Emmanouil Daskalakis; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2021)

A Methodology for enhancing Emergency Situational Awareness through Social Media. - Antonios Karteris; Georgios Tzanos; Lazaros Papadopoulos; Konstantinos P. Demestichas; Dimitrios Soudris; Juliette Pauline Philibert; Carlos López Gómez (ARES, 2022)

Ecological Impact Assessment Framework for areas affected by Natural Disasters. - Arief Setyanto; Kusrini Kusrini; Gardyas Bidari Adninda; Renindya Kartikakirana; Rhisa Aidilla Suprapto; Arif Laksito; I Made Artha Agastya; Krishna Chandramouli; Andrea Majlingova; Yvonne Brodrechtová; Konstantinos P. Demestichas; Ebroul Izquierdo (CBMI, 2022)

Knowledge Engineering and Ontology for Crime Investigation. - Wilmuth Müller; Dirk Mühlenberg; Dirk Pallmer; Uwe Zeltmann; Christian Ellmauer; Konstantinos P. Demestichas (AIAI (1), 2022)

A Machine Learning-Based Method for Content Verification in the E-Commerce Domain. - Theodoros Alexakis; Nikolaos Peppes; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (Inf., 2022)

Applications of Fusion Techniques in E-Commerce Environments: A Literature Review. - Emmanouil Daskalakis; Konstantina Remoundou; Nikolaos Peppes; Theodoros Alexakis; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Efstathios D. Sykas (Sensors, 2022)

Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review. - Konstantina-Maria Giannakopoulou; Ioanna Roussaki; Konstantinos P. Demestichas (Sensors, 2022)

A Quality Control Methodology for Heterogeneous Vehicular Data Streams. - Konstantina Remoundou; Theodoros Alexakis; Nikolaos Peppes; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (Sensors, 2022)

Malware Image Generation and Detection Method Using DCGANs and Transfer Learning. - Nikolaos Peppes; Theodoros Alexakis; Emmanouil Daskalakis; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (IEEE Access, 2023)

A Distributed Big Data Analytics Architecture for Vehicle Sensor Data. - Theodoros Alexakis; Nikolaos Peppes; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (Sensors, 2023)

The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers. - Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2023)

FoGGAN: Generating Realistic Parkinson's Disease Freezing of Gait Data Using GANs. - Nikolaos Peppes; Panagiotis Tsakanikas; Emmanouil Daskalakis; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2023)

A Risk Assessment and Legal Compliance Framework for Supporting Personal Data Sharing with Privacy Preservation for Scientific Research. - Christos Baloukas; Lazaros Papadopoulos; Kostas Demestichas; Axel Weissenfeld; Sven Schlarb; Mikel Aramburu; David Redó; Jorge García 002; Seán Gaines; Thomas Marquenie; Ezgi Eren; Irmak Erdogan Peter (ARES, 2024)

A Comprehensive Review of Deep Learning-Based Anomaly Detection Methods for Precision Agriculture. - Konstantinos Gkountakos; Konstantinos Ioannidis; Konstantinos P. Demestichas; Stefanos Vrochidis; Ioannis Kompatsiaris (IEEE Access, 2024)

Protection of critical infrastructures from advanced combined cyber and physical threats: The PRAETORIAN approach. - Lazaros Papadopoulos; Konstantinos P. Demestichas; Eva María Muñoz Navarro; Juan Jose Hernandez-Montesinos; Stéphane Paul; Nicolas Museux; Sandra König; Stefan Schauer; Alfonso Climente Alarcón; Israel Pérez-Llopis; Tim H. Stelkens-Kobsch; Tamara Hadjina; et al. (Int. J. Crit. Infrastructure Prot., 2024)

LADOS: Aerial Imagery Dataset for Oil Spill Detection, Classification, and Localization Using Semantic Segmentation. - Konstantinos Gkountakos; Maria Melitou; Konstantinos Ioannidis; Konstantinos P. Demestichas; Stefanos Vrochidis; Ioannis Kompatsiaris (Data, 2025)