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personal data approved: 2023. III. 01.
Personal data
Tomás Horváth
name Tomás Horváth
name of institution
doctoral school
ELTE Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. ELTE Doctoral School of Informatics 100%
Contact details
E-mail address horvathtamasinf.elte.hu
phone number +36 1 372-2500/8191
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2008
discipline to which degree belongs mathematics and computing
institution granting the degree Pavol Jozef Šafárik University in Košice
Employment
2016 - Eötvös Loránd University, Budapest
other (not specified) (docens)
Thesis topic supervisor
number of doctoral students supervised until now 6
number of students who fulfilled course requirements 2
students who obtained their degrees:
Péter Kiss PhD 2022  IDI2-ELTE
Tsegaye Misikir Tashu PhD 2021  IDI2-ELTE

completed course requirement:
Jose Luis Seixas Junior (PhD) 2023/08  IDI2-ELTE
Péter Kiss (PhD) 2020/08  IDI2-ELTE
Zakarya Farou (PhD) 2023/08  IDI2-ELTE
present PhD students:
(50%) Duc Trung Pham (PhD) (2027/08)  IDI2-ELTE
(50%) Paul Kavishe Mushi (PhD) (2026/08)  IDI2-ELTE
Wadie Skaf (PhD) (2025/08)  IDI2-ELTE
  Thesis topic proposals
Research
research area Data Mining, Machine Learning, Recommender systems, Personalization
research field in which current research is conducted mathematics and computing
computer sciences
Publications
2023

Várkonyi Dániel Tamás, Seixas Junior José Luis, Horváth Tomáš: Dynamic noise filtering for multi-class classification of beehive audio data, EXPERT SYSTEMS WITH APPLICATIONS 213: 118850
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2023

Horváth D, Erdős G, Istenes Z, Horváth T, Földi S: Object Detection Using Sim2Real Domain Randomization for Robotic Applications, IEEE TRANSACTIONS ON ROBOTICS 39: (2) pp. 1225-1243.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2023

Tashu Tsegaye Misikir, Lenz Marc, Horváth Tomáš: NCC: Neural concept compression for multilingual document recommendation, APPLIED SOFT COMPUTING 142: 110348
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2023

Antoni L’ubomír, Eliaš Peter, Horváth Tomáš, Krajči Stanislav, Krídlo Ondrej, Török Csaba: Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices, In: Jäschke, Robert; Sauerwald, Kai; Ojeda-Aciego, Manuel (szerk.) Graph-Based Representation and Reasoning, Springer Nature Switzerland (2023) pp. 19-27.
type of document: Part of book/Proceedings Paper
language: English
URL 
2022

Farou Zakarya, Ouaari Sofiane, Domian Balint, Horváth Tomáš: Directed Undersampling Using Active Learning for Particle Identification, LECTURE NOTES IN ELECTRICAL ENGINEERING 855: pp. 149-162.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2022

Farou Zakarya, Kopeikina Liudmila, Horváth Tomáš: Solving Multi-class Imbalance Problems Using Improved Tabular GANs, LECTURE NOTES IN COMPUTER SCIENCE 13756: pp. 527-539.
type of document: Journal paper/Article
language: English
URL 
2022

Tashu Tsegaye Misikir, Horváth Tomáš: Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring, LECTURE NOTES IN COMPUTER SCIENCE 13756: pp. 12-21.
type of document: Journal paper/Article
language: English
URL 
2022

Horváth Tomáš, Mantovani Rafael G., de Carvalho André C.P.L.F.: Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features, APPLIED SOFT COMPUTING 109969
type of document: Journal paper/Article
language: English
URL 
2021

Tashu Tsegaye Misikir, Hajiyeva Sakina, Horvath Tomas: Multimodal Emotion Recognition from Art Using Sequential Co-Attention, JOURNAL OF IMAGING 7: (8) p. 157.
type of document: Journal paper/Article
number of independent citations: 11
language: English
URL 
2021

Kiss Peter, Horvath Tomas: Migrating Models: A Decentralized View on Federated Learning, In: Kamp, M; Koprinska, I; Bibal, A; Bouadi, T; Frenay, B; Galarraga, L; Oramas, J; Adilova, L (szerk.) MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021, PT I, Springer-Verlag (2021) pp. 177-191.
type of document: Part of book/Proceedings Paper
language: English
URL 
Number of independent citations to these publications:21 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
129
number of scientific publications:
126
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
number of independent citations to scientific publications and creative works:
253
further relevant information regarding accreditation (in Hungarian)
Scopus author ID: 55419330700 https://www.scopus.com/authid/detail.uri?origin=resultslist&authorId=55419330700&zone=# ResearcherID: A-9009-2015 http://www.researcherid.com/rid/A-9009-2015 Google Scholar link https://scholar.google.com.br/citations?user=x_kXEMMAAAAJ&hl=en


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )