Dimitrios Kalles

According to our database, Dimitrios Kalles authored at least 123 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms.

Zoi Lygizou, Dimitris Kalles

Mach. Learn. Knowl. Extr., September, 2024

Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis.

Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Future Internet, July, 2024

Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance.

Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios

Future Internet, June, 2024

Exploiting Properties of Student Networks to Enhance Learning in Distance Education.

Rozita Tsoni, Evgenia Paxinou, Aris Gkoulalas-Divanis, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios

Inf., April, 2024

Comparative analysis of neural network architectures for short-term FOREX forecasting.

Theodoros Zafeiriou, Dimitris Kalles

Intell. Decis. Technol., 2024

The V-Lab VR Educational Application Framework.

Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos

CoRR, 2024

Measuring Technical Debt in AI-Based Competition Platforms.

Dionysios Sklavenitis, Dimitris Kalles

CoRR, 2024

Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost.

Theodoros Zafeiriou, Dimitris Kalles

CoRR, 2024

A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes.

Zoi Lygizou, Dimitris Kalles

CoRR, 2024

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.

Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles

Comput. Hum. Behav., 2024

Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments.

Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs.

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

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.

Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach.

Vassilios S. Verykios, Evgenia Paxinou, Aris Gkoulalas-Divanis, Manolis Tzagarakis, Sotirios Kotsiantis, Georgios Feretzakis, Dimitris Kalles

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Ultra-short-term trading system using a neural network-based ensemble of financial technical indicators.

Theodoros Zafeiriou, Dimitris Kalles

Neural Comput. Appl., 2023

Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning.

Aikaterini Sakagianni, Christina Koufopoulou, Vassilios S. Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images.

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

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project.

Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos

Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

Centrality Metrics from Students' Discussion Fora at Distance Education.

Evgenia Paxinou, Evangelia Manousou, Vassilios S. Verykios, Dimitrios Kalles

Proceedings of the 14th International Conference on Information, 2023

Automated ML Techniques for Predicting COVID-19 Mortality in the ICU.

Aikaterini Sakagianni, Christina Koufopoulou, Dimitrios Kalles, Evangelos Loupelis, Vassilios S. Verykios, Georgios Feretzakis

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

A Deep Learning Model for Classifying Histological Types of Colorectal Polyps.

Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Acceptance of Artificial Intelligence in Supporting Cancer Patients.

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

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Training ChatGPT Models in Assisting Urologists in Daily Practice.

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

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market.

Theodoros Zafeiriou, Dimitris Kalles

Intell. Decis. Technol., 2022

An experimental comparison of single-agent and multi-agent learning-and-playing algorithms in a gaming ecosystem.

Konstantinos Mitropoulos, Vasileios G. Vasilopoulos, Kyriakos Giagtzoglou, Dimitrios Kalles

Intell. Decis. Technol., 2022

A Data Pipeline Approach for Building Learning Analytics Dashboards.

Rozita Tsoni, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

A Biologically Inspired Computational Trust Model based on the Perspective of the Trustee.

Zoi Lygizou, Dimitris Kalles

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Prediction of Hospitalization Using Machine Learning for Emergency Department Patients.

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

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

A Distance Learning VR Technology Tool for Science Labs.

Evgenia Paxinou, Konstantinos Mitropoulos, Hariklia Tsalapatas, Dimitrios Kalles

Proceedings of the 13th International Conference on Information, 2022

Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement.

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

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit.

Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Association Rules in Antimicrobial Resistance in Stone Disease Patients.

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

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Exploratory Clustering for Emergency Department Patients.

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

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.

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

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Analyzing Sequence Data with Markov Chain Models in Scientific Experiments.

Evgenia Paxinou, Dimitrios Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios

SN Comput. Sci., 2021

An IRT-based approach to assess the learning gain of a virtual reality lab students' experience.

Evgenia Paxinou, Dimitrios Kalles, Christos T. Panagiotakopoulos, Argyro Sgourou, Vassilios S. Verykios

Intell. Decis. Technol., 2021

Using machine learning techniques to predict hospital admission at the emergency department.

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

CoRR, 2021

Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients.

Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni

CoRR, 2021

Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains.

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

Proceedings of the Public Health and Informatics, 2021

Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach.

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

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm.

Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2020

Polarity, emotions and online activity of students and tutors as features in predicting grades.

Andreas F. Gkontzis, Sotiris Kotsiantis, Dimitris Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios

Intell. Decis. Technol., 2020

Personalized Interactive Edutainment in Extended Reality (XR) Laboratories.

Aris S. Lalos, Chairi Kiourt, Dimitrios Kalles, Athanasios P. Kalogeras

ERCIM News, 2020

Intraday Ultra-Short-Term Forecasting of Foreign Exchange Rates using an Ensemble of Neural Networks based on Conventional Technical Indicators.

Theodoros Zafeiriou, Dimitris Kalles

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Local Distortion Hiding (LDH) Algorithm: a Java-based prototype.

Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Using UML Activity Diagram for Adapting Experiments under a Virtual Laboratory Environment.

Athanasios Sypsas, Dimitris Kalles

Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

3D Simulations in Civil Engineering Laboratory Education.

Ourania-Nika Golemati, Vasilis Zafeiropoulos, Dimitris Kalles

Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

Exploiting Extended Reality Technologies for Educational Microscopy.

Helena G. Theodoropoulou, Chairi Kiourt, Aris S. Lalos, Anestis Koutsoudis, Evgenia Paxinou, Dimitris Kalles, George Pavlidis

Proceedings of the Virtual Reality and Augmented Reality, 2020

XRLabs: Extended Reality Interactive Laboratories.

Chairi Kiourt, Dimitris Kalles, Aris S. Lalos, Nikolaos Papastamatiou, Panayotis Silitziris, Evgenia Paxinou, Helena G. Theodoropoulou, Vasilis Zafeiropoulos, Alexandros Papadopoulos, George Pavlidis

Proceedings of the 12th International Conference on Computer Supported Education, 2020

2019

Rating the skill of synthetic agents in competitive multi-agent environments.

Chairi Kiourt, Dimitris Kalles, George Pavlidis

Knowl. Inf. Syst., 2019

Using Minimum Local Distortion to Hide Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Entropy, 2019

On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Entropy, 2019

Gaming Ecosystems for Education and Research: Where Artificial Intelligence meets with Software Engineering, at scale.

Dimitrios Kalles, Kyriakos Giagtzoglou, Konstantinos Mitropoulos

Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the 10th International Conference on Information, 2019

Single Fingertip Detection Using Simple Geometric Properties of the Hand Image: A Case Study for Augmented Reality in an Educational App.

Nikolaos Nomikos, Dimitris Kalles

Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Hiding Decision Tree Rules in Medical Data: A Case Study.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

2018

A gaming ecosystem as a tool for research and education in Artificial Intelligence.

Kyriakos Giagtzoglou, Dimitris Kalles

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Quantitative liquid simulation in an interactive 3D virtual laboratory.

Vasilis Zafeiropoulos, Dimitris Kalles

Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

Virtual laboratories in biology, biotechnology and chemistry education: a literature review.

Athanasios Sypsas, Dimitris Kalles

Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

2017

Assessing the Impact of Virtualizing Physical Labs.

Evgenia Paxinou, Vasilis Zafeiropoulos, Athanasios Sypsas, Chairi Kiourt, Dimitris Kalles

CoRR, 2017

On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

CoRR, 2017

Decision Trees for Helpdesk Advisor Graphs.

Spyros Gkezerlis, Dimitris Kalles

CoRR, 2017

Multi-agents based virtual environments for cultural heritage.

Chairi Kiourt, George Pavlidis, Anestis Koutsoudis, Dimitris Kalles

Proceedings of the XXVI International Conference on Information, 2017

How Game Complexity Affects the Playing Behavior of Synthetic Agents.

Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos

Proceedings of the Multi-Agent Systems and Agreement Technologies, 2017

Neural Networks as a Learning Component for Designing Board Games.

Alexandros Nikolakakis, Dimitris Kalles

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

A platform for large-scale game-playing multi-agent systems on a high performance computing infrastructure.

Chairi Kiourt, Dimitris Kalles

Multiagent Grid Syst., 2016

Teacher-led design of an adaptive learning environment.

Anna Mavroudi, Thanasis Hadzilacos, Dimitris Kalles, Andreas Gregoriades

Interact. Learn. Environ., 2016

A Distributed Multi Agents Based Platform for High Performance Computing Infrastructures.

Chairi Kiourt, Dimitris Kalles

CoRR, 2016

Synthetic learning agents in game-playing social environments.

Chairi Kiourt, Dimitris Kalles

Adapt. Behav., 2016

Evolving Multi-Layer Neural Networks for Othello.

Vassilis Makris, Dimitris Kalles

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

ReSkill: Relative Skill-Level Calculation System.

Chairi Kiourt, George Pavlidis, Dimitris Kalles

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Artificial Intelligence meets Software Engineering in Computing Education.

Dimitris Kalles

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Data Set Operations to Hide Decision Tree Rules.

Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Using opponent models to train inexperienced synthetic agents in social environments.

Chairi Kiourt, Dimitris Kalles

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015

Editorial.

Aristidis Likas, Konstantinos Blekas, Dimitris Kalles

Int. J. Artif. Intell. Tools, 2015

Development of grid-based multi agent systems for social learning.

Chairi Kiourt, Dimitris Kalles

Proceedings of the 6th International Conference on Information, 2015

Hiding decision tree rules by data set operations.

Dimitris Kalles, Vassilios S. Verykios, Athanasios Papagelis

Proceedings of the 6th International Conference on Information, 2015

Human Rating Methods on Multi-agent Systems.

Chairi Kiourt, Dimitris Kalles, George Pavlidis

Proceedings of the Multi-Agent Systems and Agreement Technologies, 2015

Learning in Multi Agent Social Environments with Opponent Models.

Chairi Kiourt, Dimitris Kalles

Proceedings of the Multi-Agent Systems and Agreement Technologies, 2015

2014

A Learning Analytics Methodology for Student Profiling.

Elvira Lotsari, Vassilios S. Verykios, Chris T. Panagiotakopoulos, Dimitris Kalles

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Developing a Game Server for Humans and Bots.

Nikos Dikaros, Dimitris Kalles

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

A Pendulum Effect of Expert Playing in Games.

Dimitris Kalles, Panagiotis Kanellopoulos

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Adventure-Style Game-Based Learning for a Biology Lab.

Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou

Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Ontological Modelling for Intelligent E-learning.

Nikolitsa Aggelopoulou, Christos Pierrakeas, Alexander Artikis, Dimitris Kalles

Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Adventure-Style Serious Game for a Science Lab.

Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou, Achilleas Kameas

Proceedings of the Open Learning and Teaching in Educational Communities, 2014

2013

Short-Term Trend Prediction of Foreign Exchange rates with a Neural-Network Based Ensemble of Financial Technical indicators.

Theodoros Zafeiriou, Dimitris Kalles

Int. J. Artif. Intell. Tools, 2013

Building a social multi-agent system simulation management toolbox.

Chairi Kiourt, Dimitris Kalles

Proceedings of the Balkan Conference in Informatics, 2013

2012

Emerge-Sort: Swarm Intelligence Sorting.

Dimitris Kalles, Vassiliki Mperoukli, Andreas Papandreadis

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Social Reinforcement Learning in Game Playing.

Chairi Kiourt, Dimitris Kalles

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Consolidating a Heuristic for Incremental Decision Tree Learning through asymptotic Analysis.

Dimitris Kalles, Athanasios Papagelis, Yannis C. Stamatiou

Int. J. Artif. Intell. Tools, 2011

2010

Lossless fitness inheritance in genetic algorithms for decision trees.

Dimitris Kalles, Athanassios Papagelis

Soft Comput., 2010

Examples as Interaction: on Humans Teaching a Computer to Play a Game.

Dimitris Kalles, Ilias Fykouras

Int. J. Artif. Intell. Tools, 2010

Time Does Not Always Buy Quality in Co-evolutionary Learning.

Dimitris Kalles, Ilias Fykouras

Proceedings of the Artificial Intelligence: Theories, 2010

2009

A Prototype for Educational Planning Using Course Constraints to Simulate Student Populations.

Thanasis Hadzilacos, Dimitris Kalles, Dimitrios Koumanakos, Vassilis Mitsionis

Int. J. Artif. Intell. Tools, 2009

2008

Profiling Group Activity of Online Academic Workspaces: The Hellenic Open University Case Study.

Dionysis Karaiskakis, Dimitris Kalles, Thanasis Hadzilacos

Int. J. Web Based Learn. Teach. Technol., 2008

Emerge-Sort: Converging to Ordered Sequences by Simple Local Operators

Dimitris Kalles, Alexis C. Kaporis

CoRR, 2008

Students working for students on programming courses.

Dimitrios Kalles

Comput. Educ., 2008

Player Co-Modelling in a Strategy Board Game: Discovering How to Play Fast.

Dimitris Kalles

Cybern. Syst., 2008

Myopic Distributed Protocols for Singleton and Independent-Resource Congestion Games.

Dimitris Kalles, Alexis C. Kaporis, Paul G. Spirakis

Proceedings of the Experimental Algorithms, 7th International Workshop, 2008

Evolving Computer Game Playing via Human-Computer Interaction: Machine Learning Tools in the Knowledge Engineering Life-Cycle.

Dimitris Kalles, Christos Kalantzis

Proceedings of the Knowledge-Based Software Engineering, 2008

2007

On the Software and Knowledge Engineering Aspects of the Educational Process.

Thanasis Hadzilacos, Dimitris Kalles, Maria Pouliopoulou

Int. J. Softw. Eng. Knowl. Eng., 2007

Using Course Constraints in Simulating Student Populations

Thanasis Hadzilacos, Dimitrios Kalles, Dimitrios Koumanakos

CoRR, 2007

Measuring Expert Impact on Learning how to Play a Board Game.

Dimitris Kalles

Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

2006

Managing the Decision Tree Life-Cycle with Components.

Dimitris Kalles, Athanasios Papagelis

Int. J. Inf. Commun. Technol. Educ., 2006

Lossless fitness inheritance in genetic algorithms for decision trees

Dimitris Kalles

CoRR, 2006

On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies

Dimitris Kalles

CoRR, 2006

Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees.

Dimitris Kalles, Christos Pierrakeas

Appl. Artif. Intell., 2006

On Small Data Sets Revealing Big Differences.

Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, Michalis Nik Xenos

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

On the Software Engineering Aspects of Educational Intelligence.

Thanasis Hadzilacos, Dimitris Kalles

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Using Genetic Algorithms and Decision Trees for <i>a posteriori</i> Analysis and Evaluation of Tutoring Practices based on Student Failure Models.

Dimitris Kalles, Christos Pierrakeas

Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Tracking User Participation in a Large Scale Team Collaboration Environment.

Dionysis Karaiskakis, Dimitrios Kalles, Thanasis Hadzilacos

Proceedings of the EC-TEL06 Workshops, Crete, Greece , October 1-2, 2006, 2006

2005

Improving Professional Conduct in Publishing.

Dimitris Kalles

Computer, 2005

2002

Interactive Verification of Game Design and Playing Strategies.

Dimitrios Kalles, Eirini Ntoutsi

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

2001

On verifying game designs and playing strategies using reinforcement learning.

Dimitrios Kalles, Panagiotis Kanellopoulos

Proceedings of the 2001 ACM Symposium on Applied Computing (SAC), 2001

Breeding Decision Trees Using Evolutionary Techniques.

Athanassios Papagelis, Dimitrios Kalles

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Stable Decision Trees: Using Local Anarchy for Efficient Incremental Learning.

Dimitrios Kalles, Athanassios Papagelis

Int. J. Artif. Intell. Tools, 2000

Induction of decision trees in numeric domains using set-valued attributes.

Dimitrios Kalles, Athanassios Papagelis, Eirini Ntoutsi

Intell. Data Anal., 2000

Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms.

Nikos Drossos, Athanassios Papagelis, Dimitrios Kalles

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

GA Tree: genetically evolved decision trees.

Athanassios Papagelis, Dimitrios Kalles

Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

1999

Controlled Flux Results in Stable Decision Trees.

Dimitrios Kalles, Athanassios Papagelis

Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1996

Efficient Incremental Induction of Decision Trees.

Dimitrios Kalles, Tim Morris

Mach. Learn., 1996

1993

A novel fast and reliable thinning algorithm.

Dimitrios Kalles, D. T. Morris

Image Vis. Comput., 1993