Research/art/teacher profile of a person
- The name of the university:
- Pavol Jozef Šafárik University in Košice
- The seat of the university:
- Šrobárova 2, 041 80 Košice
- The name of the faculty:
- Faculty of Science
- The seat of the faculty:
- Šrobárova 2, 040 01 Košice
I. - Basic information
I.1 - Surname
I.2 - Name
I.3 - Degrees
I.4 - Year of birth
I.5 - Name of the workplace
I.6 - Address of the workplace
I.7 - Position
I.8 - E-mail address
I.9 - Hyperlink to the entry of a person in the Register of university staff
I.10 - Name of the study field in which a person works at the university
I.11 - ORCID iD
II. - Higher education and further qualification growth
II.1 - First degree of higher education
II.2 - Second degree of higher education
II.a - Name of the university or institution
II.b - Year
II.c - Study field and programme
II.3 - Third degree of higher education
II.a - Name of the university or institution
II.b - Year
II.c - Study field and programme
II.4 - Associate professor
II.a - Name of the university or institution
II.b - Year
II.c - Study field and programme
II.5 - Professor
II.6 - Doctor of Science (DrSc.)
III. - Current and previous employment
| III.a - Occupation-position | III.b - Institution | III.c - Duration |
|---|---|---|
| researcher | Institute of computer science, Faculty of science, UPJŠ in Košice | from 2020 |
| Associated professor | Institute of computer science, Faculty of science, UPJŠ in Košice | 2001-2019 |
| Assistent professor | Institute of computer science, Faculty of science, UPJŠ in Košice | 1986-2000 |
IV. - Development of pedagogical, professional, language, digital and other skills
| IV.a - Activity description, course name, other | IV.b - Name of the institution | IV.c - Year |
|---|---|---|
| English for Upper-Intermediate and Advanced Users | UPJŠ in Košice | 2022/23 |
V. - Overview of activities within the teaching career at the university
V.1 - Overview of the profile courses taught in the current academic year according to study programmes
| V.1.a - Name of the profile course | V.1.b - Study programme | V.1.c - Degree | V.1.d - Field of study |
|---|---|---|---|
| Theoretical questions of neural networks | Informatics | PhD | Informatics |
| Neural Networks | Informatics | Magister | Informatics |
| Machine Learning | Informatics | Magister | Informatics |
| Machine Learning and Artificial Intelligence Methods | Informatics | PhD | Informatics |
V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year
V.4 - Overview of supervised final theses
V.4.1 - Number of currently supervised theses
V.4.a - Bachelor's (first degree)
V.4.b - Diploma (second degree)
V.4.c - Dissertation (third degree)
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
V.4.b - Diploma (second degree)
V.4.c - Dissertation (third degree)
V.5 - Overview of other courses taught in the current academic year according to study programmes
VI. - Overview of the research/artistic/other outputs
VI.1 - Overview of the research/artistic/other outputs and the corresponding citations
VI.1.1 - Number of the research/artistic/other outputs
VI.1.a - Overall
VI.1.b - Over the last six years
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
VI.1.b - Over the last six years
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
VI.1.b - Over the last six years
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
VI.1.b - Over the last six years
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
VI.1.b - Over the last six years
VI.2 - The most significant research/artistic/other outputs
ADC - Gabriela Andrejková: The similary of two strings of fuzzy sets. In: Kybernetika. - ISSN 0023-5954. - Vol. 36, no. 6 (2000), s. 671-687. IF12: 0.619
ADC - Gabriela Andrejková, Jozef Jirásek: Neural network topologies and evolutionary design. In: Neural Network World. - ISSN 1210-0552. - Č. 6 (2001), s. 547-560. IF12: 0.392
ADC - Gabriela Andrejková, Miroslav Levický: Neural networks using Bayesian training. In: Kybernetika. - ISSN 0023- 5954. - Vol. 39, no. 5 (2003), s. 511-520. IF12: 0.619
ADD - Gabriela Andrejková, Henrich Tóth: Learning strategies for neuro-fuzzy classification. In: Tatra Mountains Mathematical Publications. - Vol. 16 (1999), s. 211-224. IF12: 0.394 A
ADE - Gabriela Andrejková, Martina Mikulová: Kolmogorov's theorem and neural networks. In: Neural Network World. - Vol. 5 (1998), s. 501-510. IF12: 0.392
VI.3 - The most significant research/artistic/other outputs over the last six years
Kopčo, N., Andrejková, G., Best, V. and ShinnCunningham, B. (2017). Streaming and sound localization with a preceding distractor. Journal of the Acoustical Society of America, 141, EL331. (journal link, doi: 10.1121/1.4979167). Počet citácií: 4
Predicting user's preferences using neural networks and psychology models. In: Applied Intelligence, ISSN 0924- 669X, Vol. 44, no. 3 (2016), p. 526-538. Počet citácií: 9
Szoplák, Z., Andrejková, G.: Anomaly detection in text documents using HTM networks CEUR Workshop Proceedingsthis link is disabled, 2021, 2962, pp. 20–28.
Salem, A., Almarimi, A., Andrejkova, G.:Text dissimilarities predictions using convolutional neural networks and clustering. DISA 2018 - IEEE World Symposium on Digital Intelligence for Systems and Machines, Proceedingsthis link is disabled, 2018, pp. 343–348, 8490635. Počet citácií: 4
Adamko, N., Andrejkova, G., Guniš, J., ...Snajder, L., Varga, M.: IT Academy Project: Model of Class Focused on Informatics. ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedingsthis link is disabled, 2018, pp. 21–30, 8572279. Počet citácií: 4
VI.4 - The most significant citations corresponding to the research/artistic/other outputs
AAB - Peter Sinčák, Gabriela Andrejková: Neurónové siete : inžiniersky prístup (2. diel). - 1. vyd. - Košice : elfa s.r.o., 1996. - 63 s. - ISBN 80-88786-42-8.
Počet ohlasov: 32
1. BABUŠIAK, B., MOHYLOVÁ, J. The ECG signal prediction by using ... In Advances in Electrical Engineering, 2008, s. 342-345.
2. DRÁBEK, O., SEIDL, P., TAUFER, I. Umělé neuronové sítě - základy teorie a aplikace (3). In CHEMagazín, 2006, roč. XVI, č. 1, s. 12-14.
3. SOBĚSLAV, V., BODNÁROVÁ, A. Intrusion detection system design ... In IADIS 2008, Proceedings of the IADIS International Conference on Telecommunications, Networks and Systems. Amsterdam, 2008. ISBN 978-972-8924-62- 1, s. 154-156.
4. TAUFER, I., DRÁBEK, O., SEIDL, P. Umělé neuronové sítě - základy teorie a aplikace (5). In CHEMagazín, 2006, roč. XVI, č. 5, s. 29-31.
5. VOJTÁŠ, Peter. Fuzzy reasoning with flexible selection of t-operators. In IFSA ´97 : Seventh International Fuzzy Systems Association World Congress : proceedings vol. I : 25.-29.jún 1997. Praha : ACADEMIA, 1997. ISBN 80-200- 0633-8, 530 s.
6. VOJTÁŠ, Peter. Fuzzy reasoning with tunable t-operators. In Jornal of Advanced Computational Intelligence, 1998, vol. 2, no. 4, s. 121-126.
7. DAŇO, Ivan. On the neurodynamic model of recurent networks. In Acta Electrotechnica et Informatica, 2007, vol. 7, no. 4, s. 74-77.
8. KEVICKÝ, Florián et al. Smerovanie informačných tokov ... In Telekomunikácie´97 : zborník z 3. medzinárodnej konferencie : 4.-5.jún 1997, Bratislava. Bratislava : Dom techniky ZSVTS, 1997. ISBN 80-233-0389-9, s. 109-113.
9. KOVÁČIK, Peter - BETKA, František. Umelá inteligencia a možnosti jej uplatnenia v letectve. In Acta Avionica, 1999, roč. I, č. 1, s. 55-57.
10. KVASNIČKA, Vladimír - POSPÍCHAL, Jiří - TIŇO, Peter. Evolučné algoritmy. Bratislava : Slovenská technická univerzita, 2000. ISBN 80-227-1377-5, 223 s.
AAB - Peter Sinčák, Gabriela Andrejková: Neurónové siete : inžiniersky prístup 1. diel. - 1. vyd. - Košice : elfa s.r.o., 1996. - 110 s. - ISBN 80887888638X.
Počet ohlasov: 28
1. EPERJEŠI, Juraj. Gait optimization of AIBO robot ... In 6th International Symposium on Applied Machine Intelligence and Informatics. New York, 2008. ISBN 978-1-4244-2105-3, s. 237-239.
2. MOJŽIŠOVÁ, Andrea - KOSTÚR, Karaol. Model of indirect remperature measurement by neural network. In Acta Montanistica Slovaca, 2008, roč. 13, č. 1, s. 105-110.
3. BABUŠIAK, B., MOHYLOVÁ, J. The ECG signal prediction by using ... In Advances in Electrical Engineering, 2008, s. 342-345.
4. DRÁBEK, O., SEIDL, P., TAUFER, I. Umělé neuronové sítě - základy teorie a aplikace (3). In CHEMagazín, 2006, roč. XVI, č. 1, s. 12-14.
5. MATOUSEK, Zdenek - KURTY, Jan - MOKRIS, Igor. Ground radar target classification using singular value decomposition and multilayer perceptron. In Radioengineering, 2001, vol. 10, no. 4, s. 36-40.
6. TAUFER, I., DRÁBEK, O., SEIDL, P. Umělé neuronové sítě - základy teorie a aplikace (12). In CHEMagazín, 2008, roč. XVIII, č. 5, s. 28-30.
7. TAUFER, I., DRÁBEK, O., SEIDL, P. Umělé neuronové sítě - základy teorie a aplikace (5). In CHEMagazín, 2006, roč. XVI, č. 5, s. 29-31.
8. VOJTÁŠ, Peter. Fuzzy reasoning with flexible selection of t-operators. In IFSA ´97 : Seventh International Fuzzy Systems Association World Congress : proceedings vol. I : 25.-29.jún 1997. Praha : ACADEMIA, 1997. ISBN 80-200- 0633-8, 530 s.
9. VOJTÁŠ, Peter. Fuzzy reasoning with tunable t-operators. In Jornal of Advanced Computational Intelligence, 1998, vol. 2, no. 4, s. 121-126.
10. KVASNIČKA, Vladimír - POSPÍCHAL, Jiří - TIŇO, Peter. Evolučné algoritmy. Bratislava : Slovenská technická univerzita, 2000. ISBN 80-227-1377-5, 223 s.
ADE - Gabriela Andrejková, Martina Mikulová: Kolmogorov's theorem and neural networks. In: Neural Network World. - Vol. 5 (1998), s. 501-510.
Počet ohlasov: 7
1. BALABIN, R.M., LOMAKINA, E.I., SAFIEVA, R.Z. Neural network (ANN) approach to biodiesel ... In Fuel, 2011, vol. 90, no. 5, s. 2007-2015.
2. BALABIN, R.M., LOMAKINA, E.I. Neural network approach to quantum-chemistry data: Accurate prediction of density functional theory energies. In Journal of Chemical Physics, 2009, vol. 131, no. 7, art. no. 074104.
3. BALABIN, R.M., LOMAKINA, E.I. Support vector machine regression (SVR/LS_SVM) ... In Analyst, 2011, vol. 136, no. 8, s. 1703-1712.
4. KUDELA, K. et al. Cosmic rays in relation... In Space Science Reviews. 2000, vol. 93, is. 1-2, p. 153-174.
5. Miao, Y., Rooney, D. W., Gan, Q.: Artificial neural network for compositional inic liquid viscosity prediction. In International Journal of Computational Intelligence Systems, 2012, Vol. 5, Issue 3.
6. BALABIN, R.M., LOMAKINA, E.I. Support vector machine regression (LS-SVM) - an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data? Physical Chemistry Chemical Physics, 2011.
7. BALABIN, R.M., SAFIEVA, R. Z. Near-Infraed (NIR) spectroscopy for biodiesel analysis: fractional composition, iodine value, and cold filter plugging point from one vibrational spectrum. Energy & Fuels, 2011.
AFC - Gabriela Andrejková: The Longest Restricted Common Subsequence Problem. In: Proceedings of the Prague Stringology Club Workshop' 98 : collaborative Report DC-98-06 : August 1998. - Praha : Department of Computer Science and Engineering Faculty of Electrical Engineering Czech Technical University, 1998. - S. 14-25.
Počet ohlasov: 3
1. GOTTHILF, Z. et al. Restricted LCS. In String Processing and Information Retrieval - LNCS, 2010, vol. 6393, s. 250-257.
2. CROCHEMORE, Maxime - HANCART, Christophe - LECROQ, Thierry. Algorithmique du texte. Paríž : Vuibert, 2001. ISBN 2-7117-8628-5, 345 s.
3. ELLOUMI, M., MOKADDEM, A. A heuristic algorithm for the N-LCS problem. In Journal of the Applied Mahtematics, Statistics and Informatics, 2008, vol. 4, no. 1, s. 17-26
ADE2 - Gabriela Andrejková: Applications of the approximation theory by neural Networks. In: Neural Network World. - Vol. 5 (2000), s. 787-795.
Počet ohlasov: 1
1. HE, Y., CHU, F., ZHONG, B. A hierarchical evolutionary algorithm... In Neural Computing and Applications. 2002, vol. 10, is. 4, p. 357-366
VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years
VEGA, Grant No.1/0177/21 “Descriptional and Computational Complexity of Automata and Algorithms”, spoluriešiteľ projektu; vedúci projektu: prof. RNDr. V. Geffert, DrSc.
H2020-MSCA-RISE-2015 Research and Innovation Staff Exchange (RISE). Adaptation, learning and training for spatial hearing in complex environment. 2015-2019, spoluriešiteľ projektu; vedúci projektu: doc. Ing. Norbert Kopčo, PhD.
Národný projekt IT Akadémia – vzdelávanie pre 21. storočie, ktorý sa realizuje vďaka podpore z Európskeho sociálneho fondu a Európskeho fondu regionálneho rozvoja v rámci Operačného programu Ľudské zdroje, 2018- 2022.
VEGA 1/0350/22, Výpočtové hodnotenie plasticity v priestorovom počúvaní (Vedecka grantova agentura MS Slovak Rep.) 2022-24. spoluriešiteľ projektu; vedúci projektu: doc. Ing. Norbert Kopčo, PhD.
Slovak Research and Development Agency grant APVV DS-FR-19-0025: Adaptabilita v priestorovom počúvaní. Zodpovedný riešiteľ: doc. Ing. Norbert Kopčo, PhD., 2019-2023.
VII. - Overview of organizational experience related to higher education and research/artistic/other activities
VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study
IX. - Other relevant facts
IX.a - If relevant, other activities related to higher education or research/artistic/other activities are mentioned
Veľká medaila sv. Gorazda za dlhoročnú prácu v slovenskej komisii Olympiády v informatike a mimoriadne výsledky s talentovanou mládežou, Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky, 2017
Medaila 2. stupňa za zásluhy a rozvoj fakulty, Matematicko-fyzikálna fakulta Univerzity Karlovej, Praha, 1989
Strieborná medaila Prírodovedeckej fakulty UPJŠ za dlhoročnú pedagogickú činnosť a starostlivosť o talenty v oblasti informatiky, UPJŠ v Košiciach, 2013