Dimitris Kalles

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 64

Top Venues

Publications

Vassilios S. Verykios, Evgenia Paxinou, Aris Gkoulalas-Divanis, Manolis Tzagarakis, Sotirios Kotsiantis, Georgios Feretzakis, Dimitris Kalles
The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach. AIAI (4) (2024)
Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles
Evaluating the interactions of Medical Doctors with chatbots based on large language models: Insights from a nationwide study in the Greek healthcare sector using ChatGPT. Comput. Hum. Behav. 161 (2024)
Theodoros Zafeiriou, Dimitris Kalles
Comparative analysis of neural network architectures for short-term FOREX forecasting. CoRR (2024)
Zoi Lygizou, Dimitris Kalles
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes. CoRR (2024)
Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis. Future Internet 16 (7) (2024)
Dionysios Sklavenitis, Dimitris Kalles
Measuring Technical Debt in AI-Based Competition Platforms. CoRR (2024)
Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos
The V-Lab VR Educational Application Framework. CoRR (2024)
Theodoros Zafeiriou, Dimitris Kalles
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost. CoRR (2024)
Zoi Lygizou, Dimitris Kalles
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms. CoRR (2024)
Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos
The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project. MobileHCI (Companion) (2023)
Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis
A Deep Learning Model for Classifying Histological Types of Colorectal Polyps. ICIMTH (2023)
Theodoros Zafeiriou, Dimitris Kalles
Ultra-short-term trading system using a neural network-based ensemble of financial technical indicators. Neural Comput. Appl. 35 (1) (2023)
Vasileios Panteris, Georgios Feretzakis, Panagiotis Karantanos, Dimitris Kalles, Vassilios S. Verykios, Maria Panoutsakou, Eirini Karagianni, Christina Zoubouli, Stefani Vgenopoulou, Aikaterini Pierrakou, Maria Theodorakopoulou, Apostolos E. Papalois, Thomas Thomaidis, Ilias Dalainas, Elias Kouroumalis
Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images. MIE (2023)
Ioannis Manolitsis, Lazaros Tzelves, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios, Stamatis Katsimperis, Athanasios Anastasiou, Dimitrios D. Koutsouris, Thanos Kosmidis, Charalambos Deliveliotis, Athanasios Papatsoris, Ioannis Varkarakis
Acceptance of Artificial Intelligence in Supporting Cancer Patients. ICIMTH (2023)
Ioannis Manolitsis, Georgios Feretzakis, Lazaros Tzelves, Dimitris Kalles, Stamatis Katsimperis, Panagiotis Angelopoulos, Athanasios Anastasiou, Dimitrios D. Koutsouris, Thanos Kosmidis, Vassilios S. Verykios, Andreas Skolarikos, Ioannis Varkarakis
Training ChatGPT Models in Assisting Urologists in Daily Practice. ICIMTH (2023)
Lazaros Tzelves, Georgios Feretzakis, Dimitris Kalles, Ioannis Manolitsis, Stamatis Katsimperis, Themistoklis Bellos, Marinos Berdempes, Athanasios Anastasiou, Dimitrios D. Koutsouris, Stavroula Kofopoulou, Vassilios S. Verykios, Andreas Skolarikos, Ioannis Varkarakis
Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement. ICIMTH (2022)
Rozita Tsoni, Dimitris Kalles, Vassilios S. Verykios
A Data Pipeline Approach for Building Learning Analytics Dashboards. SETN (2022)
Zoi Lygizou, Dimitris Kalles
A Biologically Inspired Computational Trust Model based on the Perspective of the Trustee. SETN (2022)
Ioannis Manolitsis, Georgios Feretzakis, Lazaros Tzelves, Dimitris Kalles, Evangelos Loupelis, Stamatis Katsimperis, Thanos Kosmidis, Athanasios Anastasiou, Dimitrios D. Koutsouris, Stavroula Kofopoulou, Vassilios S. Verykios, Andreas Skolarikos, Ioannis Varkarakis
Using Association Rules in Antimicrobial Resistance in Stone Disease Patients. ICIMTH (2022)
Theodoros Zafeiriou, Dimitris Kalles
Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market. Intell. Decis. Technol. 16 (3) (2022)
Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis
Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit. ICIMTH (2022)
Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis
Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. MIE (2022)
Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Lazaros Tzelves, Vasileios Panteris, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis
Exploratory Clustering for Emergency Department Patients. ICIMTH (2022)
Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. ICIMTH (2022)
Georgios Feretzakis, George Karlis, Evangelos Loupelis, Dimitris Kalles, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Aikaterini Sakagianni, Lazaros Tzelves, Stavroula Petropoulou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis
Using machine learning techniques to predict hospital admission at the emergency department. CoRR (2021)
Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios
Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm. ICIMTH (2021)
Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients. CoRR (2021)
Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Georgios Karlis, Dimitris Kalles, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis
Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. ICIMTH (2021)
Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Maria Martsoukou, Nikoleta Skarmoutsou, Constantinos Christopoulos, Malvina Lada, Aikaterini Velentza, Stavroula Petropoulou, Sophia Michelidou, Vasileios Kaldis, Rea Chatzikyriakou, Ilias Dalainas, Evangelos Dimitrellos
Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains. MIE (2021)
Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios
Local Distortion Hiding (LDH) Algorithm: a Java-based prototype. SETN (2020)
Chairi Kiourt, Dimitris Kalles, Aris S. Lalos, Nikolaos Papastamatiou, Panayotis Silitziris, Evgenia Paxinou, Helena G. Theodoropoulou, Vasilis Zafeiropoulos, Alexandros Papadopoulos, George Pavlidis
XRLabs: Extended Reality Interactive Laboratories. CSEDU (1) (2020)
Helena G. Theodoropoulou, Chairi Kiourt, Aris S. Lalos, Anestis Koutsoudis, Evgenia Paxinou, Dimitris Kalles, George Pavlidis
Exploiting Extended Reality Technologies for Educational Microscopy. EuroVR (2020)
Andreas F. Gkontzis, Sotiris Kotsiantis, Dimitris Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios
Polarity, emotions and online activity of students and tutors as features in predicting grades. Intell. Decis. Technol. 14 (3) (2020)
Ourania-Nika Golemati, Vasilis Zafeiropoulos, Dimitris Kalles
3D Simulations in Civil Engineering Laboratory Education. PCI (2020)
Athanasios Sypsas, Dimitris Kalles
Using UML Activity Diagram for Adapting Experiments under a Virtual Laboratory Environment. PCI (2020)
Theodoros Zafeiriou, Dimitris Kalles
Intraday Ultra-Short-Term Forecasting of Foreign Exchange Rates using an Ensemble of Neural Networks based on Conventional Technical Indicators. SETN (2020)
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
Hiding Decision Tree Rules in Medical Data: A Case Study. ICIMTH (2019)
Chairi Kiourt, Dimitris Kalles, George Pavlidis
Rating the skill of synthetic agents in competitive multi-agent environments. Knowl. Inf. Syst. 58 (1) (2019)
Nikolaos Nomikos, Dimitris Kalles
Single Fingertip Detection Using Simple Geometric Properties of the Hand Image: A Case Study for Augmented Reality in an Educational App. ICVS (2019)
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules. Entropy 21 (1) (2019)
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set. IISA (2019)
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
Using Minimum Local Distortion to Hide Decision Tree Rules. Entropy 21 (4) (2019)
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules. SETN (2018)
Vasilis Zafeiropoulos, Dimitris Kalles
Quantitative liquid simulation in an interactive 3D virtual laboratory. PCI (2018)
Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos
How game complexity affects the playing behavior of synthetic agents. CoRR (2018)
Athanasios Sypsas, Dimitris Kalles
Virtual laboratories in biology, biotechnology and chemistry education: a literature review. PCI (2018)
Kyriakos Giagtzoglou, Dimitris Kalles
A gaming ecosystem as a tool for research and education in Artificial Intelligence. SETN (2018)
Chairi Kiourt, George Pavlidis, Anestis Koutsoudis, Dimitris Kalles
Multi-agents based virtual environments for cultural heritage. ICAT (2017)
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules. CoRR (2017)
Spyros Gkezerlis, Dimitris Kalles
Decision Trees for Helpdesk Advisor Graphs. CoRR (2017)
Evgenia Paxinou, Vasilis Zafeiropoulos, Athanasios Sypsas, Chairi Kiourt, Dimitris Kalles
Assessing the Impact of Virtualizing Physical Labs. CoRR (2017)
Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos
How Game Complexity Affects the Playing Behavior of Synthetic Agents. EUMAS/AT (2017)
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
Data set operations to hide decision tree rules. CoRR (2017)
Alexandros Nikolakakis, Dimitris Kalles
Neural Networks as a Learning Component for Designing Board Games. EANN (2017)
Chairi Kiourt, George Pavlidis, Dimitris Kalles
ReSkill: Relative Skill-Level Calculation System. SETN (2016)
Chairi Kiourt, Dimitris Kalles
Using opponent models to train inexperienced synthetic agents in social environments. CIG (2016)
Chairi Kiourt, Dimitris Kalles
A Distributed Multi Agents Based Platform for High Performance Computing Infrastructures. CoRR (2016)
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
Data set operations to hide decision tree rules. PrAISe@ECAI (2016)
Anna Mavroudi, Thanasis Hadzilacos, Dimitris Kalles, Andreas Gregoriades
Teacher-led design of an adaptive learning environment. Interact. Learn. Environ. 24 (8) (2016)
Dimitris Kalles
Artificial Intelligence meets Software Engineering in Computing Education. SETN (2016)
Chairi Kiourt, Dimitris Kalles
A platform for large-scale game-playing multi-agent systems on a high performance computing infrastructure. Multiagent Grid Syst. 12 (1) (2016)
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
Data Set Operations to Hide Decision Tree Rules. ECAI (2016)
Chairi Kiourt, Dimitris Kalles
Synthetic learning agents in game-playing social environments. Adapt. Behav. 24 (6) (2016)
Vassilis Makris, Dimitris Kalles
Evolving Multi-Layer Neural Networks for Othello. SETN (2016)
Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
Editorial. Int. J. Artif. Intell. Tools 24 (5) (2015)
Chairi Kiourt, Dimitris Kalles, George Pavlidis
Human Rating Methods on Multi-agent Systems. EUMAS/AT (2015)
Chairi Kiourt, Dimitris Kalles
Learning in Multi Agent Social Environments with Opponent Models. EUMAS/AT (2015)
Dimitris Kalles, Vassilios S. Verykios, Athanasios Papagelis
Hiding decision tree rules by data set operations. IISA (2015)
Chairi Kiourt, Dimitris Kalles
Development of grid-based multi agent systems for social learning. IISA (2015)
Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou
Adventure-Style Game-Based Learning for a Biology Lab. ICALT (2014)
Dimitris Kalles, Panagiotis Kanellopoulos
A Pendulum Effect of Expert Playing in Games. ICTAI (2014)
Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou, Achilleas Kameas
Adventure-Style Serious Game for a Science Lab. EC-TEL (2014)
Nikolitsa Aggelopoulou, Christos Pierrakeas, Alexander Artikis, Dimitris Kalles
Ontological Modelling for Intelligent E-learning. ICALT (2014)
Nikos Dikaros, Dimitris Kalles
Developing a Game Server for Humans and Bots. SETN (2014)
Elvira Lotsari, Vassilios S. Verykios, Chris T. Panagiotakopoulos, Dimitris Kalles
A Learning Analytics Methodology for Student Profiling. SETN (2014)
Chairi Kiourt, Dimitris Kalles
Building a social multi-agent system simulation management toolbox. BCI (2013)
Theodoros Zafeiriou, Dimitris Kalles
Short-Term Trend Prediction of Foreign Exchange rates with a Neural-Network Based Ensemble of Financial Technical indicators. Int. J. Artif. Intell. Tools 22 (3) (2013)
Dimitris Kalles, Vassiliki Mperoukli, Andreas Papandreadis
Emerge-Sort: Swarm Intelligence Sorting. SETN (2012)
Chairi Kiourt, Dimitris Kalles
Social Reinforcement Learning in Game Playing. ICTAI (2012)
Dimitris Kalles, Athanasios Papagelis, Yannis C. Stamatiou
Consolidating a Heuristic for Incremental Decision Tree Learning through asymptotic Analysis. Int. J. Artif. Intell. Tools 20 (1) (2011)
Dimitris Kalles, Ilias Fykouras
Examples as Interaction: on Humans Teaching a Computer to Play a Game. Int. J. Artif. Intell. Tools 19 (6) (2010)
Dimitris Kalles, Ilias Fykouras
Time Does Not Always Buy Quality in Co-evolutionary Learning. SETN (2010)
Dimitris Kalles, Athanassios Papagelis
Lossless fitness inheritance in genetic algorithms for decision trees. Soft Comput. 14 (9) (2010)
Dimitris Kalles, Ilias Fykouras
Examples as Interaction: On Humans Teaching a Computer to Play a Game CoRR (2009)
Thanasis Hadzilacos, Dimitris Kalles, Dimitrios Koumanakos, Vassilis Mitsionis
A Prototype for Educational Planning Using Course Constraints to Simulate Student Populations. Int. J. Artif. Intell. Tools 18 (4) (2009)
Dimitris Kalles, Alexis C. Kaporis
Emerge-Sort: Converging to Ordered Sequences by Simple Local Operators CoRR (2008)
Dionysis Karaiskakis, Dimitris Kalles, Thanasis Hadzilacos
Profiling Group Activity of Online Academic Workspaces: The Hellenic Open University Case Study. Int. J. Web Based Learn. Teach. Technol. 3 (3) (2008)
Dimitris Kalles, Christos Kalantzis
Evolving Computer Game Playing via Human-Computer Interaction: Machine Learning Tools in the Knowledge Engineering Life-Cycle. JCKBSE (2008)
Dimitris Kalles
Player Co-Modelling in a Strategy Board Game: Discovering How to Play Fast. Cybern. Syst. 39 (1) (2008)
Dimitris Kalles, Alexis C. Kaporis, Paul G. Spirakis
Myopic Distributed Protocols for Singleton and Independent-Resource Congestion Games. WEA (2008)
Thanasis Hadzilacos, Dimitris Kalles, Maria Pouliopoulou
On the Software and Knowledge Engineering Aspects of the Educational Process. Int. J. Softw. Eng. Knowl. Eng. 17 (5) (2007)
Dimitris Kalles
Measuring Expert Impact on Learning how to Play a Board Game. AIAI (2007)
Dimitris Kalles, Christos Pierrakeas
Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees. Appl. Artif. Intell. 20 (8) (2006)
Dimitris Kalles, Athanasios Papagelis
Managing the Decision Tree Life-Cycle with Components. Int. J. Inf. Commun. Technol. Educ. 2 (3) (2006)
Thanasis Hadzilacos, Dimitris Kalles
On the Software Engineering Aspects of Educational Intelligence. KES (2) (2006)
Dimitris Kalles, Christos Pierrakeas
Analysis and Evaluation of Tutoring Practices based on Student Failure Models. AIAI (2006)
Dimitris Kalles
On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies CoRR (2006)
Dimitris Kalles
Lossless fitness inheritance in genetic algorithms for decision trees CoRR (2006)
Dimitris Kalles
Player co-modelling in a strategy board game: discovering how to play fast CoRR (2006)
Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, Michalis Nik Xenos
On Small Data Sets Revealing Big Differences. SETN (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dimitris Kalles