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Dimitris Kalles
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2020 – today
- 2024
[j35]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: 108404 (2024)- [j34]Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios:
Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance. Future Internet 16(6): 190 (2024) - [j33]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): 221 (2024) - [j32]Theodoros Zafeiriou, Dimitris Kalles:
Comparative analysis of neural network architectures for short-term FOREX forecasting. Intell. Decis. Technol. 18(3): 2177-2190 (2024) - [j31]Rozita Tsoni, Evgenia Paxinou, Aris Gkoulalas-Divanis, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios:
Exploiting Properties of Student Networks to Enhance Learning in Distance Education. Inf. 15(4): 234 (2024) - [j30]Zoi Lygizou, Dimitris Kalles:
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms. Mach. Learn. Knowl. Extr. 6(3): 1413-1438 (2024) - [c81]Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Aikaterini Sakagianni, Zoi Rakopoulou, Konstantinos Kalodanis, Vasileios Kaldis, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios:
Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research. EFMI-STC 2024: 84-88 - [c80]Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Evgenia Paxinou, Aris Gkoulalas-Divanis, Konstantinos Kalodanis, Ioannis Tsapelas, Dimitris Kalles, Vassilios S. Verykios:
Securing a Generative AI-Powered Healthcare Chatbot. EFMI-STC 2024: 195-199 - [c79]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: 224-237 - [c78]Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios:
Decoding Students' Paths in Moodle to Distill Significance of Learning Resources. IISA 2024: 1-8 - [c77]George Vorvilas, Despoina Pantazi, Evgenia Paxinou, Georgios Feretzakis, Dimitrios Kalles, Achilles Kameas, Nikos Karousos, Vassilios S. Verykios:
An Automated Text Summarization Approach for Open-ended Responses in Student Online Surveys. IISA 2024: 1-7 - [c76]Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles:
Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments. MIE 2024: 535-539 - [c75]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:
Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs. MIE 2024: 868-872 - [c74]Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni:
Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques. MIE 2024: 1184-1188 - [c73]Dionysios Sklavenitis, Dimitris Kalles:
Measuring Technical Debt in AI-Based Competition Platforms. SETN 2024: 27:1-27:10 - [c72]Zoi Lygizou, Dimitris Kalles:
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes. SETN 2024: 29:1-29:9 - [c71]Theodoros Zafeiriou, Dimitris Kalles:
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost. SETN 2024: 35:1-35:7 - [i22]Zoi Lygizou, Dimitris Kalles:
A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes. CoRR abs/2404.10014 (2024) - [i21]Zoi Lygizou, Dimitris Kalles:
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms. CoRR abs/2404.18296 (2024) - [i20]Theodoros Zafeiriou, Dimitris Kalles:
Comparative analysis of neural network architectures for short-term FOREX forecasting. CoRR abs/2405.08045 (2024) - [i19]Theodoros Zafeiriou, Dimitris Kalles:
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost. CoRR abs/2405.10679 (2024) - [i18]Dionysios Sklavenitis, Dimitris Kalles:
Measuring Technical Debt in AI-Based Competition Platforms. CoRR abs/2405.11825 (2024) - [i17]Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, Vassilis E. Fotopoulos:
The V-Lab VR Educational Application Framework. CoRR abs/2407.07698 (2024) - 2023
- [j29]Theodoros Zafeiriou, Dimitris Kalles:
Ultra-short-term trading system using a neural network-based ensemble of financial technical indicators. Neural Comput. Appl. 35(1): 35-60 (2023) - [c70]Aikaterini Sakagianni, Christina Koufopoulou, Dimitrios Kalles, Evangelos Loupelis, Vassilios S. Verykios, Georgios Feretzakis:
Automated ML Techniques for Predicting COVID-19 Mortality in the ICU. ICIMTH 2023: 517-520 - [c69]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: 549-552 - [c68]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: 572-575 - [c67]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: 576-579 - [c66]Evgenia Paxinou, Evangelia Manousou, Vassilios S. Verykios, Dimitrios Kalles:
Centrality Metrics from Students' Discussion Fora at Distance Education. IISA 2023: 1-6 - [c65]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: 32:1-32:4 - [c64]Aikaterini Sakagianni, Christina Koufopoulou, Vassilios S. Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis:
Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning. MIE 2023: 536-540 - [c63]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: 576-580 - 2022
- [j28]Konstantinos Mitropoulos, Vasileios G. Vasilopoulos, Kyriakos Giagtzoglou, Dimitrios Kalles:
An experimental comparison of single-agent and multi-agent learning-and-playing algorithms in a gaming ecosystem. Intell. Decis. Technol. 16(2): 431-439 (2022) - [j27]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): 523-541 (2022) - [c62]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: 405-408 - [c61]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: 430-433 - [c60]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: 462-465 - [c59]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: 466-469 - [c58]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: 503-506 - [c57]Evgenia Paxinou, Konstantinos Mitropoulos, Hariklia Tsalapatas, Dimitrios Kalles:
A Distance Learning VR Technology Tool for Science Labs. IISA 2022: 1-5 - [c56]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: 145-146 - [c55]Zoi Lygizou, Dimitris Kalles:
A Biologically Inspired Computational Trust Model based on the Perspective of the Trustee. SETN 2022: 7:1-7:10 - [c54]Rozita Tsoni, Dimitris Kalles, Vassilios S. Verykios:
A Data Pipeline Approach for Building Learning Analytics Dashboards. SETN 2022: 33:1-33:6 - 2021
- [j26]Evgenia Paxinou, Dimitrios Kalles, Christos T. Panagiotakopoulos, Argyro Sgourou, Vassilios S. Verykios:
An IRT-based approach to assess the learning gain of a virtual reality lab students' experience. Intell. Decis. Technol. 15(3): 487-496 (2021) - [j25]Evgenia Paxinou, Dimitrios Kalles, Christos T. Panagiotakopoulos, Vassilios S. Verykios:
Analyzing Sequence Data with Markov Chain Models in Scientific Experiments. SN Comput. Sci. 2(5): 385 (2021) - [c53]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: 297-300 - [c52]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: 414-417 - [c51]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: 43-47 - [i16]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 abs/2105.11187 (2021) - [i15]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 abs/2106.12921 (2021) - 2020
- [j24]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): 409-436 (2020) - [c50]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: 601-608 - [c49]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: 149-162 - [c48]Athanasios Sypsas, Dimitris Kalles:
Using UML Activity Diagram for Adapting Experiments under a Virtual Laboratory Environment. PCI 2020: 27-30 - [c47]Ourania-Nika Golemati, Vasilis Zafeiropoulos, Dimitris Kalles:
3D Simulations in Civil Engineering Laboratory Education. PCI 2020: 42-45 - [c46]Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios:
Local Distortion Hiding (LDH) Algorithm: a Java-based prototype. SETN 2020: 144-149 - [c45]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: 224-231 - [i14]Aris S. Lalos, Chairi Kiourt, Dimitrios Kalles, Athanasios P. Kalogeras:
Personalized Interactive Edutainment in Extended Reality (XR) Laboratories. ERCIM News 2020(120) (2020)
2010 – 2019
- 2019
- [j23]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules. Entropy 21(1): 66 (2019) - [j22]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Using Minimum Local Distortion to Hide Decision Tree Rules. Entropy 21(4): 334 (2019) - [j21]Chairi Kiourt, Dimitris Kalles, George Pavlidis:
Rating the skill of synthetic agents in competitive multi-agent environments. Knowl. Inf. Syst. 58(1): 35-58 (2019) - [c44]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Hiding Decision Tree Rules in Medical Data: A Case Study. ICIMTH 2019: 368-371 - [c43]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: 604-611 - [c42]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set. IISA 2019: 1-4 - [c41]Dimitrios Kalles, Kyriakos Giagtzoglou, Konstantinos Mitropoulos:
Gaming Ecosystems for Education and Research: Where Artificial Intelligence meets with Software Engineering, at scale. MEDES 2019: 199-204 - 2018
- [c40]Athanasios Sypsas, Dimitris Kalles:
Virtual laboratories in biology, biotechnology and chemistry education: a literature review. PCI 2018: 70-75 - [c39]Vasilis Zafeiropoulos, Dimitris Kalles:
Quantitative liquid simulation in an interactive 3D virtual laboratory. PCI 2018: 219-224 - [c38]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules. SETN 2018: 12:1-12:8 - [c37]Kyriakos Giagtzoglou, Dimitris Kalles:
A gaming ecosystem as a tool for research and education in Artificial Intelligence. SETN 2018: 54:1-54:2 - [i13]Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos:
How game complexity affects the playing behavior of synthetic agents. CoRR abs/1807.02648 (2018) - 2017
- [c36]Alexandros Nikolakakis, Dimitris Kalles:
Neural Networks as a Learning Component for Designing Board Games. EANN 2017: 291-302 - [c35]Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos:
How Game Complexity Affects the Playing Behavior of Synthetic Agents. EUMAS/AT 2017: 307-322 - [c34]Chairi Kiourt, George Pavlidis, Anestis Koutsoudis, Dimitris Kalles:
Multi-agents based virtual environments for cultural heritage. ICAT 2017: 1-6 - [i12]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data set operations to hide decision tree rules. CoRR abs/1706.05733 (2017) - [i11]Spyros Gkezerlis, Dimitris Kalles:
Decision Trees for Helpdesk Advisor Graphs. CoRR abs/1710.07075 (2017) - [i10]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 abs/1710.07214 (2017) - [i9]Evgenia Paxinou, Vasilis Zafeiropoulos, Athanasios Sypsas, Chairi Kiourt, Dimitris Kalles:
Assessing the Impact of Virtualizing Physical Labs. CoRR abs/1711.11502 (2017) - 2016
- [j20]Chairi Kiourt, Dimitris Kalles:
Synthetic learning agents in game-playing social environments. Adapt. Behav. 24(6): 411-427 (2016) - [j19]Anna Mavroudi, Thanasis Hadzilacos, Dimitris Kalles, Andreas Gregoriades:
Teacher-led design of an adaptive learning environment. Interact. Learn. Environ. 24(8): 1996-2010 (2016) - [j18]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): 35-54 (2016) - [c33]Chairi Kiourt, Dimitris Kalles:
Using opponent models to train inexperienced synthetic agents in social environments. CIG 2016: 1-4 - [c32]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data set operations to hide decision tree rules. PrAISe@ECAI 2016: 10:1-10:8 - [c31]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data Set Operations to Hide Decision Tree Rules. ECAI 2016: 1575-1576 - [c30]Vassilis Makris, Dimitris Kalles:
Evolving Multi-Layer Neural Networks for Othello. SETN 2016: 26:1-26:6 - [c29]Dimitris Kalles:
Artificial Intelligence meets Software Engineering in Computing Education. SETN 2016: 36:1-36:5 - [c28]Chairi Kiourt, George Pavlidis, Dimitris Kalles:
ReSkill: Relative Skill-Level Calculation System. SETN 2016: 39:1-39:4 - [i8]Chairi Kiourt, Dimitris Kalles:
A Distributed Multi Agents Based Platform for High Performance Computing Infrastructures. CoRR abs/1610.03450 (2016) - 2015
- [j17]Aristidis Likas, Konstantinos Blekas, Dimitris Kalles:
Editorial. Int. J. Artif. Intell. Tools 24(5): 1502004:1-1502004:2 (2015) - [c27]Chairi Kiourt, Dimitris Kalles, George Pavlidis:
Human Rating Methods on Multi-agent Systems. EUMAS/AT 2015: 129-136 - [c26]Chairi Kiourt, Dimitris Kalles:
Learning in Multi Agent Social Environments with Opponent Models. EUMAS/AT 2015: 137-144 - [c25]Dimitris Kalles, Vassilios S. Verykios, Athanasios Papagelis:
Hiding decision tree rules by data set operations. IISA 2015: 1-6 - [c24]Chairi Kiourt, Dimitris Kalles:
Development of grid-based multi agent systems for social learning. IISA 2015: 1-6 - 2014
- [c23]Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou, Achilleas Kameas:
Adventure-Style Serious Game for a Science Lab. EC-TEL 2014: 538-541 - [c22]Vasilis Zafeiropoulos, Dimitris Kalles, Argyro Sgourou:
Adventure-Style Game-Based Learning for a Biology Lab. ICALT 2014: 665-667 - [c21]Nikolitsa Aggelopoulou, Christos Pierrakeas, Alexander Artikis, Dimitris Kalles:
Ontological Modelling for Intelligent E-learning. ICALT 2014: 716-718 - [c20]Dimitris Kalles, Panagiotis Kanellopoulos:
A Pendulum Effect of Expert Playing in Games. ICTAI 2014: 810-814 - [c19]Elvira Lotsari, Vassilios S. Verykios, Chris T. Panagiotakopoulos, Dimitris Kalles:
A Learning Analytics Methodology for Student Profiling. SETN 2014: 300-312 - [c18]Nikos Dikaros, Dimitris Kalles:
Developing a Game Server for Humans and Bots. SETN 2014: 430-435 - [e1]Aristidis Likas, Konstantinos Blekas, Dimitris Kalles:
Artificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings. Lecture Notes in Computer Science 8445, Springer 2014, ISBN 978-3-319-07063-6 [contents] - 2013
- [j16]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) - [c17]Chairi Kiourt, Dimitris Kalles:
Building a social multi-agent system simulation management toolbox. BCI 2013: 66-70 - 2012
- [c16]Chairi Kiourt, Dimitris Kalles:
Social Reinforcement Learning in Game Playing. ICTAI 2012: 322-326 - [c15]Dimitris Kalles, Vassiliki Mperoukli, Andreas Papandreadis:
Emerge-Sort: Swarm Intelligence Sorting. SETN 2012: 98-105 - 2011
- [j15]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): 29-52 (2011) - 2010
- [j14]Dimitris Kalles, Ilias Fykouras:
Examples as Interaction: on Humans Teaching a Computer to Play a Game. Int. J. Artif. Intell. Tools 19(6): 717-732 (2010) - [j13]Dimitris Kalles, Athanassios Papagelis:
Lossless fitness inheritance in genetic algorithms for decision trees. Soft Comput. 14(9): 973-993 (2010) - [c14]Dimitris Kalles, Ilias Fykouras:
Time Does Not Always Buy Quality in Co-evolutionary Learning. SETN 2010: 143-152
2000 – 2009
- 2009
- [j12]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): 621-630 (2009) - [i7]Dimitris Kalles, Ilias Fykouras:
Examples as Interaction: On Humans Teaching a Computer to Play a Game. CoRR abs/0911.1021 (2009) - 2008
- [j11]Dimitris Kalles:
Player Co-Modelling in a Strategy Board Game: Discovering How to Play Fast. Cybern. Syst. 39(1): 1-17 (2008) - [j10]Dimitrios Kalles:
Students working for students on programming courses. Comput. Educ. 50(1): 91-97 (2008) - [j9]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): 1-15 (2008) - [c13]Dimitris Kalles, Christos Kalantzis:
Evolving Computer Game Playing via Human-Computer Interaction: Machine Learning Tools in the Knowledge Engineering Life-Cycle. JCKBSE 2008: 59-68 - [c12]Dimitris Kalles, Alexis C. Kaporis, Paul G. Spirakis:
Myopic Distributed Protocols for Singleton and Independent-Resource Congestion Games. WEA 2008: 181-193 - [i6]Dimitris Kalles, Alexis C. Kaporis:
Emerge-Sort: Converging to Ordered Sequences by Simple Local Operators. CoRR abs/0812.1126 (2008) - 2007
- [j8]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): 643-662 (2007) - [c11]Dimitris Kalles:
Measuring Expert Impact on Learning how to Play a Board Game. AIAI 2007: 101-113 - [i5]Thanasis Hadzilacos, Dimitrios Kalles, Dimitrios Koumanakos:
Using Course Constraints in Simulating Student Populations. CoRR abs/cs/0701174 (2007) - [i4]Thanasis Hadzilacos, Dimitrios Kalles, Maria Pouliopoulou:
On the Software and Knowledge Engineering Aspects of the Educational Process. CoRR abs/cs/0701175 (2007) - 2006
- [j7]Dimitris Kalles, Christos Pierrakeas:
Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees. Appl. Artif. Intell. 20(8): 655-674 (2006) - [j6]Dimitris Kalles, Athanasios Papagelis:
Managing the Decision Tree Life-Cycle with Components. Int. J. Inf. Commun. Technol. Educ. 2(3): 1-13 (2006) - [c10]Dionysis Karaiskakis, Dimitrios Kalles, Thanasis Hadzilacos:
Tracking User Participation in a Large Scale Team Collaboration Environment. EC-TEL Workshops 2006 - [c9]Dimitris Kalles, Christos Pierrakeas:
Using Genetic Algorithms and Decision Trees for a posteriori Analysis and Evaluation of Tutoring Practices based on Student Failure Models. AIAI 2006: 9-18 - [c8]Thanasis Hadzilacos, Dimitris Kalles:
On the Software Engineering Aspects of Educational Intelligence. KES (2) 2006: 1136-1143 - [c7]Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, Michalis Nik Xenos:
On Small Data Sets Revealing Big Differences. SETN 2006: 512-515 - [i3]Dimitris Kalles:
On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies. CoRR abs/cs/0611163 (2006) - [i2]Dimitris Kalles:
Player co-modelling in a strategy board game: discovering how to play fast. CoRR abs/cs/0611164 (2006) - [i1]Dimitris Kalles:
Lossless fitness inheritance in genetic algorithms for decision trees. CoRR abs/cs/0611166 (2006) - 2005
- [j5]Dimitris Kalles:
Improving Professional Conduct in Publishing. Computer 38(10): 114-116 (2005) - 2002
- [c6]Dimitrios Kalles, Eirini Ntoutsi:
Interactive Verification of Game Design and Playing Strategies. ICTAI 2002: 425-430 - 2001
- [c5]Athanassios Papagelis, Dimitrios Kalles:
Breeding Decision Trees Using Evolutionary Techniques. ICML 2001: 393-400 - [c4]Dimitrios Kalles, Panagiotis Kanellopoulos:
On verifying game designs and playing strategies using reinforcement learning. SAC 2001: 6-11 - 2000
- [j4]Dimitrios Kalles, Athanassios Papagelis, Eirini Ntoutsi:
Induction of decision trees in numeric domains using set-valued attributes. Intell. Data Anal. 4(3-4): 323-347 (2000) - [j3]Dimitrios Kalles, Athanassios Papagelis:
Stable Decision Trees: Using Local Anarchy for Efficient Incremental Learning. Int. J. Artif. Intell. Tools 9(1): 79-95 (2000) - [c3]Athanassios Papagelis, Dimitrios Kalles:
GA Tree: genetically evolved decision trees. ICTAI 2000: 203- - [c2]Nikos Drossos, Athanassios Papagelis, Dimitrios Kalles:
Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms. PKDD 2000: 381-387
1990 – 1999
- 1999
- [c1]Dimitrios Kalles, Athanassios Papagelis:
Controlled Flux Results in Stable Decision Trees. ICTAI 1999: 287- - 1996
- [j2]Dimitrios Kalles, Tim Morris:
Efficient Incremental Induction of Decision Trees. Mach. Learn. 24(3): 231-242 (1996) - 1993
- [j1]Dimitrios Kalles, D. T. Morris:
A novel fast and reliable thinning algorithm. Image Vis. Comput. 11(9): 588-603 (1993)
Coauthor Index
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