Dimitris Kalles 个人学术档案

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	总计	2019 年至今
引用	1899	984
h 指数	23	16
i10 指数	52	34

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Georgios FeretzakisAdjunct Faculty & Researcher at School of Science and Technology, Hellenic Open University在 ac.eap.gr 的电子邮件经过验证
Vassilios VerykiosHellenic Open University, GREECE在 eap.gr 的电子邮件经过验证
Athanasios PapangelisEpignosis在 epignosishq.com 的电子邮件经过验证
Evgenia PaxinouAdjunct Faculty & Postdoctoral Researcher (School of Science and Technology-Hellenic Open University在 ac.eap.gr 的电子邮件经过验证
Chairi KiourtATHENA Research Centre在 athenarc.gr 的电子邮件经过验证
Vasilis ZafeiropoulosHellenic Open University在 eap.gr 的电子邮件经过验证
Athanasios SypsasPhD, Adjunct Faculty at School of Science and Technology, Hellenic Open University在 ac.eap.gr 的电子邮件经过验证
Thanasis HadzilacosThe Cyprus Institute在 cyi.ac.cy 的电子邮件经过验证
Christos T. PanagiotakopoulosProfessor Emeritus - University of Patras - Greece在 upatras.gr 的电子邮件经过验证
Argyro Sgourou在 eap.gr 的电子邮件经过验证
George PavlidisAthena Research Center - Institute for Language and Speech Processing在 athenarc.gr 的电子邮件经过验证
Christos PierrakeasAssociate Professor, University of Patras在 upatras.gr 的电子邮件经过验证
Panagiotis KanellopoulosCSEE, University of Essex在 essex.ac.uk 的电子邮件经过验证
D T MorrisComputer Science and University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Anestis KoutsoudisResearch Director - Athena Research and Innovation Center - Institute for Language and Speech在 athenarc.gr 的电子邮件经过验证
Theodoros ZafeiriouHellenic Open University在 ac.eap.gr 的电子邮件经过验证
Michalis XenosProfessor of Computer Science, Computer Enginnering and Informatics Department, Patras University在 ceid.upatras.gr 的电子邮件经过验证
Eirini NtoutsiProfessor of Open Source Intelligence at the Bundeswehr University Munich在 unibw.de 的电子邮件经过验证
Anthi KaratrantouUninersity of Patras在 upatras.gr 的电子邮件经过验证
Helena G TheodoropoulouHellenic Open University (H.O.U.)在 ac.eap.gr 的电子邮件经过验证

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Dimitris Kalles

Professor of Artificial Intelligence, Hellenic Open University

在 eap.gr 的电子邮件经过验证 - 首页

Artificial Intelligence Machine Learning Education


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Breeding decision trees using evolutionary techniques A Papagelis, D Kalles ICML 1, 393-400, 2001	157	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	84	2000
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	75	2020
GA Tree: genetically evolved decision trees A Papagelis, D Kalles Proceedings 12th IEEE Internationals Conference on Tools with Artificial …, 2000	74	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
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	68	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	53	2014
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 A Sakagianni, G Feretzakis, D Kalles, C Koufopoulou, V Kaldis The Importance of Health Informatics in Public Health during a Pandemic, 13-16, 2020	50	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
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	43	2021
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	41	2020
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	34	2022
Assessing the impact of virtualizing physical labs E Paxinou, V Zafeiropoulos, A Sypsas, C Kiourt, D Kalles EDEN Conference Proceedings, 151-158, 2018	32	2018
Decision trees and NLP: A case study in POS tagging G Orphanos, D Kalles, A Papagelis, D Christodoulakis Proceedings of annual conference on artificial intelligence (ACAI), 1999	31	1999
Lossless fitness inheritance in genetic algorithms for decision trees D Kalles, A Papagelis Soft Computing 14, 973-993, 2010	27	2010
Using machine learning to predict antimicrobial resistance―a literature review A Sakagianni, C Koufopoulou, G Feretzakis, D Kalles, VS Verykios, ... Antibiotics 12 (3), 452, 2023	26	2023
A minimax tutor for learning to play a board game D Kalles, P Kanellopoulos 18th European Conference on Artificial Intelligence, workshop on Artificial …, 2008	26	2008
Adventure-style game-based learning for a biology lab V Zafeiropoulos, D Kalles, A Sgourou 2014 IEEE 14th International Conference on Advanced Learning Technologies …, 2014	24	2014
Interactive verification of game design and playing strategies D Kalles, E Ntoutsi 14th IEEE International Conference on Tools with Artificial Intelligence …, 2002	24	2002

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