The library will be closed between August 10, 2026 and August 16, 2026. During this period, it will be possible to upload publications, but all other services will be suspended.
Alshuwaili, D. G. H.,
Nsaif, M.,
Szathmáry, L.,
Szeghalmy, S.:
A comparative study of pre-trained models in breast ultrasound image segmentation.
In: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings /András Hajdu, University of Debrecen, Debrecen, 81-86, 2024. ISBN: 9798350387889
Ghori, K. M.,
Awais, M.,
Akmal, S. K.,
Imran, M.,
Abbasi, R. A.,
Szathmáry, L.:
A Review on Latest Trends in Non-Technical Loss Detection.
In: CEUR Workshop Proceedings. Szerk.: Fazekas István, Hajdu András, Tómács Tibor, CEUR Workshop Proceedings, Debrecen, 131-139, 2021.
Ghori, K. M.,
Abbasi, R. A.,
Awais, M.,
Imran, M.,
Ullah, A.,
Szathmáry, L.:
Impact of Feature Selection on Non-Technical Loss Detection.
In: 6th Conference on Data Science and Machine Learning Applications, IEEE, Piscataway, 19-24, 2020. ISBN: 9781728127460
Ghori, K. M.,
Abbasi, R. A.,
Awais, M.,
Imran, M.,
Ullah, A.,
Szathmáry, L.:
Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection.
IEEE Access. 8, 16033-16048, 2020.
Ghori, K. M.,
Imran, M.,
Nawaz, A.,
Abbasi, R. A.,
Ullah, A.,
Szathmáry, L.:
Performance analysis of machine learning classifiers for non-technical loss detection.
Ambient Intell. Humaniz. Comput. 14, 15327-15342, 2020.
Szathmáry, L.,
Ispány, M.:
CGT: a vertical miner for frequent equivalence classes of itemsets.
In: Proceedings of the 1st International Conference and Exhibition on Future RFID Technologies [elektronikus dokumentum]. Eds.: Emőd Kovács, Gábor Kusper, Tibor Juhász, Tibor Tómács, [EKTF], [Eger], 161-169, 2014. ISBN: 9786155509230
Szathmáry, L.,
Valtchev, P.,
Napoli, A.,
Godin, R.,
Boc, A.,
Makarenkov, V.:
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes.
Ann. Math. Artif. Intell. 70 (1-2), 81-105, 2013.
