Dimitris Kalles

125 papers A 1B 5C 2Misc 2Journal 54Unranked 59
YearRankTypeTitle / Venue / Authors
2026 J jnl
The value alignment problem in advisory AI: a systematic literature review.
AI Ethics
Loukas Triantafyllopoulos, Evgenia Paxinou, Diamanto Tzanoulinou, Vassilios S. Verykios, Dimitris Kalles
2025 J jnl
A biologically Inspired Trust Model for Open Multi-Agent Systems that is Resilient to Rapid Performance Fluctuations.
CoRR
Zoi Lygizou, Dimitris Kalles
2025 J jnl
Algorithmic Generation of Realistic 3D Graphics for Liquid Surfaces Within Arbitrary-Form Vessels in a Virtual Laboratory and Application in Flow Simulation.
Comput.
Dimitrios S. Karpouzas, Vasilis Zafeiropoulos, Dimitris Kalles
2025 J jnl
From Coordination to Personalization: A Trust-Aware Simulation Framework for Emergency Department Decision Support.
CoRR
Zoi Lygizou, Dimitris Kalles
2025 J jnl
From Divergence to Alignment: Evaluating the Role of Large Language Models in Facilitating Agreement Through Adaptive Strategies.
Future Internet
Loukas Triantafyllopoulos, Dimitris Kalles
2025 J jnl
From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies.
CoRR
Loukas Triantafyllopoulos, Dimitris Kalles
2025 J jnl
GDPR and Large Language Models: Technical and Legal Obstacles.
Future Internet
Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou
2025 J jnl
Governance by Evidence: Regulated Predictors in Decision-Tree Models.
CoRR
Alexios Veskoukis, Dimitris Kalles
2025 — conf
The Socratic Turn in AI: Reviewing the Transformation of LLMs into Dialogical Educators.
IISA
Diamanto Tzanoulinou, Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2025 J jnl
Validating Emergency Department Admission Predictions Based on Local Data Through MIMIC-IV.
CoRR
Francesca Meimeti, Loukas Triantafyllopoulos, Aikaterini Sakagianni, Vasileios Kaldis, Lazaros Tzelves, Nikolaos Theodorakis, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2025 J jnl
Validating emergency department admission predictions based on local data through MIMIC-IV.
Intell. Decis. Technol.
Francesca Meimeti, Loukas Triantafyllopoulos, Aikaterini Sakagianni, Vasileios Kaldis, Lazaros Tzelves, Nikolaos Theodorakis, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2024 — conf
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes.
SETN
Zoi Lygizou, Dimitris Kalles
2024 J jnl
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes.
CoRR
Zoi Lygizou, Dimitris Kalles
2024 — conf
Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs.
MIE
Georgios Feretzakis, Nikolaos Theodorakis, Georgia Vamvakou, Christos Hitas, Dimitrios Anagnostou, Sofia Kalantzi, Aikaterini Spyridaki, Zoi Kollia, Michalitsa Christodoulou, Dimitris Kalles, Andreas F. Gkontzis, Vassilios S. Verykios, Maria Nikolaou
2024 J jnl
Comparative analysis of neural network architectures for short-term FOREX forecasting.
CoRR
Theodoros Zafeiriou, Dimitris Kalles
2024 J jnl
Comparative analysis of neural network architectures for short-term FOREX forecasting.
Intell. Decis. Technol.
Theodoros Zafeiriou, Dimitris Kalles
2024 — conf
Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.
MIE
Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni
2024 — conf
Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments.
MIE
Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles
2024 J jnl
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.
Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles
2024 — conf
Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research.
EFMI-STC
Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Aikaterini Sakagianni, Zoi Rakopoulou, Konstantinos Kalodanis, Vasileios Kaldis, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios
2024 J jnl
Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis.
Future Internet
Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2024 — conf
Measuring Technical Debt in AI-Based Competition Platforms.
SETN
Dionysios Sklavenitis, Dimitris Kalles
2024 J jnl
Measuring Technical Debt in AI-Based Competition Platforms.
CoRR
Dionysios Sklavenitis, Dimitris Kalles
2024 — conf
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost.
SETN
Theodoros Zafeiriou, Dimitris Kalles
2024 J jnl
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost.
CoRR
Theodoros Zafeiriou, Dimitris Kalles
2024 — conf
Optimizing Sample Size in Machine Learning: Balancing Complexity and Generalization.
PCI
Dimitrios Karapiperis, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2024 — ed.
Proceedings of the 28th Pan-Hellenic Conference on Progress in Computing and Informatics, PCI 2024, AthensGreece, December 13-15, 2024
PCI
Nikitas N. Karanikolas, Iraklis Varlamis, Kyriakos N. Sgarbas, Dimitris Kalles, Ioannis Voyiatzis
2024 — conf
Securing a Generative AI-Powered Healthcare Chatbot.
EFMI-STC
Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Evgenia Paxinou, Aris Gkoulalas-Divanis, Konstantinos Kalodanis, Ioannis Tsapelas, Dimitris Kalles, Vassilios S. Verykios
2024 — conf
The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach.
AIAI (4)
Vassilios S. Verykios, Evgenia Paxinou, Aris Gkoulalas-Divanis, Manolis Tzagarakis, Sotirios Kotsiantis, Georgios Feretzakis, Dimitris Kalles
2024 J jnl
The V-Lab VR Educational Application Framework.
CoRR
Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos
2024 J jnl
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms.
CoRR
Zoi Lygizou, Dimitris Kalles
2024 J jnl
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms.
Mach. Learn. Knowl. Extr.
Zoi Lygizou, Dimitris Kalles
2023 — conf
A Deep Learning Model for Classifying Histological Types of Colorectal Polyps.
ICIMTH
Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis
2023 — conf
Acceptance of Artificial Intelligence in Supporting Cancer Patients.
ICIMTH
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
2023 — conf
Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images.
MIE
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
2023 — conf
The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project.
MobileHCI (Companion)
Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos
2023 — conf
Training ChatGPT Models in Assisting Urologists in Daily Practice.
ICIMTH
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
2023 J jnl
Ultra-short-term trading system using a neural network-based ensemble of financial technical indicators.
Neural Comput. Appl.
Theodoros Zafeiriou, Dimitris Kalles
2022 — conf
A Biologically Inspired Computational Trust Model based on the Perspective of the Trustee.
SETN
Zoi Lygizou, Dimitris Kalles
2022 — conf
A Data Pipeline Approach for Building Learning Analytics Dashboards.
SETN
Rozita Tsoni, Dimitris Kalles, Vassilios S. Verykios
2022 — conf
Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement.
ICIMTH
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
2022 — conf
Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit.
ICIMTH
Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis
2022 — conf
Exploratory Clustering for Emergency Department Patients.
ICIMTH
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
2022 — conf
Prediction of Hospitalization Using Machine Learning for Emergency Department Patients.
MIE
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
2022 J jnl
Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market.
Intell. Decis. Technol.
Theodoros Zafeiriou, Dimitris Kalles
2022 — conf
Using Association Rules in Antimicrobial Resistance in Stone Disease Patients.
ICIMTH
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
2022 — conf
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.
ICIMTH
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
2021 — conf
Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm.
ICIMTH
Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios
2021 — conf
Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach.
ICIMTH
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
2021 J jnl
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients.
CoRR
Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni
2021 — conf
Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains.
MIE
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
2021 J jnl
Using machine learning techniques to predict hospital admission at the emergency department.
CoRR
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
2020 — conf
3D Simulations in Civil Engineering Laboratory Education.
PCI
Ourania-Nika Golemati, Vasilis Zafeiropoulos, Dimitris Kalles
2020 — conf
Exploiting Extended Reality Technologies for Educational Microscopy.
EuroVR
Helena G. Theodoropoulou, Chairi Kiourt, Aris S. Lalos, Anestis Koutsoudis, Evgenia Paxinou, Dimitris Kalles, George Pavlidis
2020 — conf
Intraday Ultra-Short-Term Forecasting of Foreign Exchange Rates using an Ensemble of Neural Networks based on Conventional Technical Indicators.
SETN
Theodoros Zafeiriou, Dimitris Kalles
2020 — conf
Local Distortion Hiding (LDH) Algorithm: a Java-based prototype.
SETN
Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios
2020 J jnl
Polarity, emotions and online activity of students and tutors as features in predicting grades.
Intell. Decis. Technol.
Andreas F. Gkontzis, Sotiris Kotsiantis, Dimitris Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios
2020 — conf
Using UML Activity Diagram for Adapting Experiments under a Virtual Laboratory Environment.
PCI
Athanasios Sypsas, Dimitris Kalles
2020 — conf
XRLabs: Extended Reality Interactive Laboratories.
CSEDU (1)
Chairi Kiourt, Dimitris Kalles, Aris S. Lalos, Nikolaos Papastamatiou, Panayotis Silitziris, Evgenia Paxinou, Helena G. Theodoropoulou, Vasilis Zafeiropoulos, Alexandros Papadopoulos, George Pavlidis
2019 — conf
Hiding Decision Tree Rules in Medical Data: A Case Study.
ICIMTH
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2019 — conf
Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set.
IISA
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2019 J jnl
On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules.
Entropy
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2019 J jnl
Rating the skill of synthetic agents in competitive multi-agent environments.
Knowl. Inf. Syst.
Chairi Kiourt, Dimitris Kalles, George Pavlidis
2019 C conf
Single Fingertip Detection Using Simple Geometric Properties of the Hand Image: A Case Study for Augmented Reality in an Educational App.
ICVS
Nikolaos Nomikos, Dimitris Kalles
2019 J jnl
Using Minimum Local Distortion to Hide Decision Tree Rules.
Entropy
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2018 — conf
A gaming ecosystem as a tool for research and education in Artificial Intelligence.
SETN
Kyriakos Giagtzoglou, Dimitris Kalles
2018 J jnl
How game complexity affects the playing behavior of synthetic agents.
CoRR
Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos
2018 — conf
On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules.
SETN
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2018 — conf
Quantitative liquid simulation in an interactive 3D virtual laboratory.
PCI
Vasilis Zafeiropoulos, Dimitris Kalles
2018 — conf
Virtual laboratories in biology, biotechnology and chemistry education: a literature review.
PCI
Athanasios Sypsas, Dimitris Kalles
2017 J jnl
Assessing the Impact of Virtualizing Physical Labs.
CoRR
Evgenia Paxinou, Vasilis Zafeiropoulos, Athanasios Sypsas, Chairi Kiourt, Dimitris Kalles
2017 J jnl
Data set operations to hide decision tree rules.
CoRR
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
2017 J jnl
Decision Trees for Helpdesk Advisor Graphs.
CoRR
Spyros Gkezerlis, Dimitris Kalles
2017 — conf
How Game Complexity Affects the Playing Behavior of Synthetic Agents.
EUMAS/AT
Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos
2017 — conf
Multi-agents based virtual environments for cultural heritage.
ICAT
Chairi Kiourt, George Pavlidis, Anestis Koutsoudis, Dimitris Kalles
2017 C conf
Neural Networks as a Learning Component for Designing Board Games.
EANN
Alexandros Nikolakakis, Dimitris Kalles
2017 J jnl
On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules.
CoRR
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2016 J jnl
A Distributed Multi Agents Based Platform for High Performance Computing Infrastructures.
CoRR
Chairi Kiourt, Dimitris Kalles
2016 J jnl
A platform for large-scale game-playing multi-agent systems on a high performance computing infrastructure.
Multiagent Grid Syst.
Chairi Kiourt, Dimitris Kalles
2016 — conf
Artificial Intelligence meets Software Engineering in Computing Education.
SETN
Dimitris Kalles
2016 A conf
Data Set Operations to Hide Decision Tree Rules.
ECAI
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
2016 — conf
Data set operations to hide decision tree rules.
PrAISe@ECAI
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
2016 — conf
Evolving Multi-Layer Neural Networks for Othello.
SETN
Vassilis Makris, Dimitris Kalles
2016 — conf
ReSkill: Relative Skill-Level Calculation System.
SETN
Chairi Kiourt, George Pavlidis, Dimitris Kalles
2016 J jnl
Synthetic learning agents in game-playing social environments.
Adapt. Behav.
Chairi Kiourt, Dimitris Kalles
2016 J jnl
Teacher-led design of an adaptive learning environment.
Interact. Learn. Environ.
Anna Mavroudi, Thanasis Hadzilacos, Dimitris Kalles, Andreas Gregoriades
2016 — conf
Using opponent models to train inexperienced synthetic agents in social environments.
CIG
Chairi Kiourt, Dimitris Kalles
2015 — conf
Development of grid-based multi agent systems for social learning.
IISA
Chairi Kiourt, Dimitris Kalles
2015 J jnl
Editorial.
Int. J. Artif. Intell. Tools
Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
2015 — conf
Hiding decision tree rules by data set operations.
IISA
Dimitris Kalles, Vassilios S. Verykios, Athanasios Papagelis
2015 — conf
Human Rating Methods on Multi-agent Systems.
EUMAS/AT
Chairi Kiourt, Dimitris Kalles, George Pavlidis
2015 — conf
Learning in Multi Agent Social Environments with Opponent Models.
EUMAS/AT
Chairi Kiourt, Dimitris Kalles
2014 — conf
A Learning Analytics Methodology for Student Profiling.
SETN
Elvira Lotsari, Vassilios S. Verykios, Chris T. Panagiotakopoulos, Dimitris Kalles
2014 B conf
A Pendulum Effect of Expert Playing in Games.
ICTAI
Dimitris Kalles, Panagiotis Kanellopoulos
2014 B conf
Adventure-Style Game-Based Learning for a Biology Lab.
ICALT
Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou
2014 B conf
Adventure-Style Serious Game for a Science Lab.
EC-TEL
Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou, Achilleas Kameas
2014 — ed.
Artificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings
SETN
Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
2014 — conf
Developing a Game Server for Humans and Bots.
SETN
Nikos Dikaros, Dimitris Kalles
2014 B conf
Ontological Modelling for Intelligent E-learning.
ICALT
Nikolitsa Aggelopoulou, Christos Pierrakeas, Alexander Artikis, Dimitris Kalles
2013 — conf
Building a social multi-agent system simulation management toolbox.
BCI
Chairi Kiourt, Dimitris Kalles
2013 J jnl
Short-Term Trend Prediction of Foreign Exchange rates with a Neural-Network Based Ensemble of Financial Technical indicators.
Int. J. Artif. Intell. Tools
Theodoros Zafeiriou, Dimitris Kalles
2012 — conf
Emerge-Sort: Swarm Intelligence Sorting.
SETN
Dimitris Kalles, Vassiliki Mperoukli, Andreas Papandreadis
2012 B conf
Social Reinforcement Learning in Game Playing.
ICTAI
Chairi Kiourt, Dimitris Kalles
2011 J jnl
Consolidating a Heuristic for Incremental Decision Tree Learning through asymptotic Analysis.
Int. J. Artif. Intell. Tools
Dimitris Kalles, Athanasios Papagelis, Yannis C. Stamatiou
2010 J jnl
Examples as Interaction: on Humans Teaching a Computer to Play a Game.
Int. J. Artif. Intell. Tools
Dimitris Kalles, Ilias Fykouras
2010 J jnl
Lossless fitness inheritance in genetic algorithms for decision trees.
Soft Comput.
Dimitris Kalles, Athanassios Papagelis
2010 — conf
Time Does Not Always Buy Quality in Co-evolutionary Learning.
SETN
Dimitris Kalles, Ilias Fykouras
2009 J jnl
A Prototype for Educational Planning Using Course Constraints to Simulate Student Populations.
Int. J. Artif. Intell. Tools
Thanasis Hadzilacos, Dimitris Kalles, Dimitrios Koumanakos, Vassilis Mitsionis
2009 J jnl
Examples as Interaction: On Humans Teaching a Computer to Play a Game
CoRR
Dimitris Kalles, Ilias Fykouras
2008 J jnl
Emerge-Sort: Converging to Ordered Sequences by Simple Local Operators
CoRR
Dimitris Kalles, Alexis C. Kaporis
2008 — conf
Evolving Computer Game Playing via Human-Computer Interaction: Machine Learning Tools in the Knowledge Engineering Life-Cycle.
JCKBSE
Dimitris Kalles, Christos Kalantzis
2008 — conf
Myopic Distributed Protocols for Singleton and Independent-Resource Congestion Games.
WEA
Dimitris Kalles, Alexis C. Kaporis, Paul G. Spirakis
2008 J jnl
Player Co-Modelling in a Strategy Board Game: Discovering How to Play Fast.
Cybern. Syst.
Dimitris Kalles
2008 J jnl
Profiling Group Activity of Online Academic Workspaces: The Hellenic Open University Case Study.
Int. J. Web Based Learn. Teach. Technol.
Dionysis Karaiskakis, Dimitris Kalles, Thanasis Hadzilacos
2007 Misc conf
Measuring Expert Impact on Learning how to Play a Board Game.
AIAI
Dimitris Kalles
2007 J jnl
On the Software and Knowledge Engineering Aspects of the Educational Process.
Int. J. Softw. Eng. Knowl. Eng.
Thanasis Hadzilacos, Dimitris Kalles, Maria Pouliopoulou
2006 J jnl
Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees.
Appl. Artif. Intell.
Dimitris Kalles, Christos Pierrakeas
2006 J jnl
Lossless fitness inheritance in genetic algorithms for decision trees
CoRR
Dimitris Kalles
2006 J jnl
Managing the Decision Tree Life-Cycle with Components.
Int. J. Inf. Commun. Technol. Educ.
Dimitris Kalles, Athanasios Papagelis
2006 J jnl
On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies
CoRR
Dimitris Kalles
2006 — conf
On Small Data Sets Revealing Big Differences.
SETN
Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, Michalis Nik Xenos
2006 — conf
On the Software Engineering Aspects of Educational Intelligence.
KES (2)
Thanasis Hadzilacos, Dimitris Kalles
2006 J jnl
Player co-modelling in a strategy board game: discovering how to play fast
CoRR
Dimitris Kalles
2006 Misc conf
Using Genetic Algorithms and Decision Trees for
AIAI
Dimitris Kalles, Christos Pierrakeas
2005 J jnl
Improving Professional Conduct in Publishing.
Computer
Dimitris Kalles