TY - CHAP AU - Tamás, Judit ED - Nehéz, Károly TI - UML dokumentáció T2 - "OmegaSys – Élettartam tervező és meghibásodás előrejelző komplex döntéstámogató rendszer, facility management szolgáltatás kialakításához" című projekt keretében végzett kutatások legfontosabb eredményei PB - Miskolci Egyetem, Gépészmérnöki és Informatikai Kar CY - Miskolc-Egyetemváros PY - 2022 SP - 502 EP - 556 PG - 55 UR - https://m2.mtmt.hu/api/publication/32766632 ID - 32766632 LA - Hungarian DB - MTMT ER - TY - CONF AU - Tamás, Judit AU - Tóth, Zsolt ED - Fazekas, I. ED - Hajdu, A. ED - Tomacs, T. TI - Tuning of Category Hierarchy Enhanced Classification Based Indoor Positioning T2 - 1st Conference on Information Technology and Data Science, CITDS 2020 PB - CEUR Workshop Proceedings T3 - CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874. PY - 2021 SP - 207 EP - 217 PG - 11 UR - https://m2.mtmt.hu/api/publication/32076574 ID - 32076574 AB - The tuning of classification refinement using hierarchical grouping of categories is presented in this paper. The refinement can improve the accuracy of classifiers in the case of low confidence level and it uses a classifier, a threshold and a dendrogram as parameters. For the examination, the k–NN and the Naive Bayes classifiers are used and the dendrogram will be generated by using linkage method and dissimilarity value of gravitational force-based approach on the topology information. The topology of the environment is described by IndoorGML (Indoor Geographic Markup Language) document. The data set for the classification is part of the Miskolc IIS (Institute of Information Science) Hybrid IPS (Indoor Positioning System) Data set recorded with the ILONA (Indoor Localization and Navigation) System. Three properties are examined of a setup, namely hitRate, confidence and abstraction, however, they are conflicting. A fitness function is introduced using these properties for the purpose of tuning. In this paper, the different weight tuples are examined in the given test environment. The goal of the paper is to examine the weighting possibilities of the hitRate, confidence, and abstraction level features for indoor positioning purposes. Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). LA - English DB - MTMT ER - TY - CHAP AU - Bogdándy, Bence AU - Tamás, Judit AU - Tóth, Zsolt TI - Digital Transformation in Education during COVID–19: a Case Study T2 - 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2020) PB - IEEE CY - New York, New York SN - 9781728182148 T3 - International Conference on Cognitive Infocommunications, ISSN 2375-1312 PY - 2020 SP - 173 EP - 178 PG - 6 DO - 10.1109/CogInfoCom50765.2020.9237840 UR - https://m2.mtmt.hu/api/publication/31622604 ID - 31622604 N1 - IEEE Computational Intelligence Chapter; IEEE Finland Section; IEEE Hungary Section; IEEE IES and RAS Chapters; IEEE Systems, Man and Cybernetics Chapter Conference code: 164650 Cited By :43 Export Date: 4 October 2023 Funding text 1: This research was supported by the grant EFOP-3.6.1-16-2016-00001 (Complex improvement of research capacities and services at Eszterhazy Karoly University). LA - English DB - MTMT ER - TY - CONF AU - Tamás, Judit AU - Tóth, Zsolt ED - Kovásznai, Gergely ED - Fazekas, István ED - Tómács, Tibor TI - Classification Refinement With Category Hierarchy T2 - Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020) PB - CEUR Workshop Proceedings C1 - Eger T3 - CEUR Workshop Proceedings, ISSN 1613-0073 ; 2650. PY - 2020 SP - 358 EP - 369 PG - 12 UR - https://m2.mtmt.hu/api/publication/31400957 ID - 31400957 AB - The concept of classification refinement using hierarchical grouping of categories is presented in this paper. Hierarchical grouping can be determined by heuristic, or existing hierarchical clustering algorithms can be applied to generate tree structures. The concept presented requires the classifier, the grouping of the categories and a threshold value as parameters. The concept is defined to be used for multiple classification tasks. The presented concept can improve the accuracy of classifiers in the case of low confidence level. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). LA - English DB - MTMT ER - TY - CHAP AU - Tamás, Judit ED - William, Steingartner ED - Stefan, Korecko ED - Anikó, Szakál TI - Hierarchical Clustering based on IndoorGML Document T2 - 2019 IEEE 15th International Scientific Conference on Informatics, Informatics 2019, Proceedings PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Poprad SN - 9781728131788 PY - 2019 SP - 411 EP - 416 PG - 6 DO - 10.1109/Informatics47936.2019.9119255 UR - https://m2.mtmt.hu/api/publication/31137935 ID - 31137935 LA - English DB - MTMT ER - TY - JOUR AU - Tamás, Judit AU - Tóth, Zsolt TI - Topology-based Evaluation for Symbolic Indoor Positioning Algorithms JF - IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS J2 - IEEE T IND APPL VL - 55 PY - 2019 IS - 6 SP - 6324 EP - 6331 PG - 8 SN - 0093-9994 DO - 10.1109/TIA.2019.2928489 UR - https://m2.mtmt.hu/api/publication/30739198 ID - 30739198 LA - English DB - MTMT ER - TY - CONF AU - Krisztián, Ilku AU - Tamás, Judit TI - Topology-based Classification Error Calculation based on IndoorGML Document T2 - The 11th Conference of PhD Students in Computer Science C1 - Szeged PY - 2018 SP - 101 EP - 105 PG - 5 UR - https://m2.mtmt.hu/api/publication/3392123 ID - 3392123 LA - English DB - MTMT ER - TY - CHAP AU - Krisztián, Ilku AU - Tamás, Judit ED - Drótos, Dániel ED - Vásárhelyi, József ED - Czap, László ED - Ivo, Petráš TI - IndoorGML Modeling: A Case Study T2 - Proceedings of the 19th International Carpathian Control Conference (ICCC 2018) PB - IEEE CY - Piscataway (NJ) SN - 9781538647639 PY - 2018 SP - 633 EP - 638 PG - 6 DO - 10.1109/CarpathianCC.2018.8399707 UR - https://m2.mtmt.hu/api/publication/3383313 ID - 3383313 LA - English DB - MTMT ER - TY - CHAP AU - Tamás, Judit AU - Tóth, Zsolt ED - Drótos, Dániel ED - Vásárhelyi, József ED - Czap, László ED - Ivo, Petráš TI - Topology-based Classification Error Calculation for Symbolic Indoor Positioning T2 - Proceedings of the 19th International Carpathian Control Conference (ICCC 2018) PB - IEEE CY - Piscataway (NJ) SN - 9781538647639 PY - 2018 SP - 643 EP - 648 PG - 6 DO - 10.1109/CarpathianCC.2018.8399709 UR - https://m2.mtmt.hu/api/publication/3383232 ID - 3383232 LA - English DB - MTMT ER - TY - JOUR AU - Tamás, Judit AU - Tóth, Zsolt TI - Classification-based symbolic indoor positioning over the Miskolc IIS Data-set JF - JOURNAL OF LOCATION BASED SERVICES J2 - JOURNAL OF LOCATION BASED SERVICES VL - 12 PY - 2018 IS - 1 SP - 2 EP - 18 PG - 17 SN - 1748-9725 DO - 10.1080/17489725.2018.1455992 UR - https://m2.mtmt.hu/api/publication/3360652 ID - 3360652 LA - English DB - MTMT ER -