Dimitris Kalles

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Georgios FeretzakisAdjunct Faculty & Researcher at School of Science and Technology, Hellenic Open UniversityVerified email at ac.eap.gr
Athanasios PapangelisEpignosisVerified email at epignosishq.com
Vassilios VerykiosHellenic Open University, GREECEVerified email at eap.gr
Chairi KiourtATHENA Research CentreVerified email at athenarc.gr
Evgenia PaxinouAdjunct Faculty & Postdoctoral Researcher (School of Science and Technology-Hellenic Open UniversityVerified email at ac.eap.gr
Thanasis HadzilacosThe Cyprus InstituteVerified email at cyi.ac.cy
Vasilis ZafeiropoulosHellenic Open UniversityVerified email at eap.gr
Athanasios SypsasPhD, School of Science and Technology, Hellenic Open UniversityVerified email at ac.eap.gr
Christos T. PanagiotakopoulosProfessor Emeritus - University of Patras - GreeceVerified email at upatras.gr
Argyro SgourouVerified email at eap.gr
Christos PierrakeasAssociate Professor, University of PatrasVerified email at upatras.gr
George PavlidisAthena Research Center - Institute for Language and Speech ProcessingVerified email at athenarc.gr
Panagiotis KanellopoulosCSEE, University of EssexVerified email at essex.ac.uk
D T MorrisComputer Science and University of ManchesterVerified email at manchester.ac.uk
Anestis KoutsoudisResearch Director - Athena Research and Innovation Center - Institute for Language and SpeechVerified email at athenarc.gr
Michalis XenosProfessor of Computer Science, Computer Enginnering and Informatics Department, Patras UniversityVerified email at ceid.upatras.gr
Eirini NtoutsiProfessor of Open Source Intelligence at the Bundeswehr University MunichVerified email at unibw.de
Theodoros ZafeiriouHellenic Open UniversityVerified email at ac.eap.gr
Anthi KaratrantouUninersity of PatrasVerified email at upatras.gr
Leonidas CamarinopoulosVerified email at unipi.gr

Dimitris Kalles

Professor of Artificial Intelligence, Hellenic Open University

Verified email at eap.gr - Homepage

Artificial Intelligence Machine Learning Education


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Breeding decision trees using evolutionary techniques A Papagelis, D Kalles ICML 1, 393-400, 2001	160	2001
Efficient incremental induction of decision trees D Kalles, T Morris Machine Learning 24, 231-242, 1996	105	1996
UtilNets: a water mains rehabilitation decision-support system T Hadzilacos, D Kalles, N Preston, P Melbourne, L Camarinopoulos, ... Computers, environment and urban systems 24 (3), 215-232, 2000	83	2000
Analyzing student performance in distance learning with genetic algorithms and decision trees D Kalles, C Pierrakeas Applied Artificial Intelligence 20 (8), 655-674, 2006	72	2006
GA Tree: genetically evolved decision trees A Papagelis, D Kalles Proceedings 12th IEEE Internationals Conference on Tools with Artificial …, 2000	71	2000
Virtual laboratories in biology, biotechnology and chemistry education: a literature review A Sypsas, D Kalles Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 70-75, 2018	52	2018
A learning analytics methodology for student profiling E Lotsari, VS Verykios, C Panagiotakopoulos, D Kalles Artificial Intelligence: Methods and Applications: 8th Hellenic Conference …, 2014	52	2014
Using machine learning techniques to aid empirical antibiotic therapy decisions in the intensive care unit of a general hospital in Greece G Feretzakis, E Loupelis, A Sakagianni, D Kalles, M Martsoukou, M Lada, ... Antibiotics 9 (2), 50, 2020	51	2020
On verifying game designs and playing strategies using reinforcement learning D Kalles, P Kanellopoulos Proceedings of the 2001 ACM symposium on Applied computing, 6-11, 2001	48	2001
Setting up an easy-to-use machine learning pipeline for medical decision support: a case study for COVID-19 diagnosis based on deep learning with CT scans J Mantas Public Health Dur. Pandemic 272, 13, 2020	43	2020
Implementation and evaluation of a three‐dimensional virtual reality biology lab versus conventional didactic practices in lab experimenting with the photonic microscope E Paxinou, CT Panagiotakopoulos, A Karatrantou, D Kalles, A Sgourou Biochemistry and Molecular Biology Education 48 (1), 21-27, 2020	35	2020
Decision trees and NLP: A case study in POS tagging O Giorgos, K Dimitris, P Thanasis, C Dimitris Proceedings of annual conference on artificial intelligence (ACAI), 1999	32	1999
Assessing the impact of virtualizing physical labs E Paxinou, V Zafeiropoulos, A Sypsas, C Kiourt, D Kalles EDEN Conference Proceedings, 151-158, 2018	29	2018
Machine learning for antibiotic resistance prediction: A prototype using off-the-shelf techniques and entry-level data to guide empiric antimicrobial therapy G Feretzakis, A Sakagianni, E Loupelis, D Kalles, N Skarmoutsou, ... Healthcare informatics research 27 (3), 214-221, 2021	27	2021
Lossless fitness inheritance in genetic algorithms for decision trees D Kalles, A Papagelis Soft Computing 14, 973-993, 2010	26	2010
A minimax tutor for learning to play a board game D Kalles, P Kanellopoulos 18th European Conference on Artificial Intelligence, workshop on Artificial …, 2008	25	2008
Interactive verification of game design and playing strategies D Kalles, E Ntoutsi 14th IEEE International Conference on Tools with Artificial Intelligence …, 2002	24	2002
Achieving educational goals in microscopy education by adopting virtual reality labs on top of face-to-face tutorials E Paxinou, M Georgiou, V Kakkos, D Kalles, L Galani Research in Science & Technological Education 40 (3), 320-339, 2022	23	2022
Player co-modelling in a strategy board game: discovering how to play fast D Kalles Cybernetics and Systems 39 (1), 1-17, 2007	23	2007
Stable decision trees: Using local anarchy for efficient incremental learning D Kalles, A Papagelis International Journal on Artificial Intelligence Tools 9 (01), 79-95, 2000	23	2000

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