Nápověda

Guy Tatiana Valentine

Publikace ASEP

Označit vše / Zobrazit všechny roky / Zrušit označení

Označit vše / Zobrazit vše / Zrušit označení

Nalezeno záznamů: 4

0604532 - ÚTIA 2025 RIV BE eng C - Konferenční příspěvek (zahraniční konf.)
Fakhimi Derakhshan, Siavash - Guy, Tatiana Valentine
Policy Learning via Fully Probabilistic Design.
DYNALIFE WG1-WG2 Interaction Meeting Data driven evidence: theoretical models and complex biological data. Brusel: The European Cooperation in Science and Technology (COST), 2024, s. 52-52.
[DYNALIFE Interaction Meeting Data driven evidence: theoretical models and complex biological data. Thessaloniki (GR), 05.06.2024-07.06.2024]
EU-COST(XE) CA21169
Institucionální podpora: RVO:67985556
Klíčová slova: Fully probabilistic design * imitation learning * Kullback-Liebler divergence * learning from demonstration * optimal policy.
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://library.utia.cas.cz/separaty/2025/AS/guy-0604532.pdf
Trvalý odkaz: https://hdl.handle.net/11104/0363792

0602819 - ÚTIA 2025 RIV US eng J - Článek v odborném periodiku
Ruman, Marko - Guy, Tatiana Valentine
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function.
IEEE Access. Roč. 12, č. 1 (2024), s. 177204-177218. ISSN 2169-3536. E-ISSN 2169-3536
EU-COST(XE) CA21169
Institucionální podpora: RVO:67985556
Klíčová slova: Deep learning * Markov decision process * reinforcement learning * transfer learning * knowledge transfer
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 3.6, rok: 2024 ; AIS: 0.67, rok: 2024
Způsob publikování: Open access
https://library.utia.cas.cz/separaty/2024/AS/guy-0602819.pdf
https://ieeexplore.ieee.org/document/10752398
Ruman, Marko
Trvalý odkaz: https://hdl.handle.net/11104/0360153

0638656 - ÚTIA 2026 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Ružejnikov, Jurij - Guy, Tatiana Valentine
MDP-Based Analysis of Agent Interactions: From Collaborative to Adversarial Dynamics.
2025 DYNALIFE Conference on QUANTUM INFORMATION AND DECISION MAKING IN LIFE SCIENCES PROGRAMME and ABSTRACTS. Prague: Czech University of Life Sciences Prague, 2025.
[DYNALIFE 2025 : Conference on QUANTUM INFORMATION AND DECISION MAKING IN LIFE SCIENCES. Prague (CZ), 28.04.2025-29.04.2025]
EU-COST(XE) CA21169
Institucionální podpora: RVO:67985556
Klíčová slova: markov decision process (MDP) * multiagent systems * trust modelling * policy inference * agent interaction dynamics * information fusion
Obor OECD: Pure mathematics
https://library.utia.cas.cz/separaty/2025/AS/ruzejnikov-0638656.pdf
Ružejnikov, Jurij
Trvalý odkaz: https://hdl.handle.net/11104/0370224

Citace, recenze▾
Citace:
BABES, Monica, MARIVATE, Vukosi, SUBRAMANIAN, Kaushik, and LITTMAN, Michael L., 2011. Apprenticeship learning about multiple intentions. In: Proceedings of the 28th International Conference on Machine Learning (ICML-11). pp. 897–904.

Recenze:
BERGERSON, Sage, 2021. Multi-agent inverse reinforcement learning: Suboptimal demonstrations and alternative solution concepts.
KÁRNÝ, Miroslav, and HŮLA, František, 2021. Fusion of probabilistic unreliable indirect information into estimation serving to decision making. International Journal of Machine Learning and Cybernetics. Vol. 12, no. 12, pp. 3367–3378.
QUINN, Anthony, KÁRNÝ, Miroslav, and GUY, Tatiana V., 2017. Optimal design of priors constrained by external predictors. International Journal of Approximate Reasoning. Vol. 84, pp. 150–158.
VARSHNEY, Pramod K., 1997. Distributed detection and data fusion. Signal Processing Series.

0640202 - ÚTIA 2026 RIV LT eng C - Konferenční příspěvek (zahraniční konf.)
Ružejnikov, Jurij - Guy, Tatiana Valentine
Targeted Trust-Based Merging of Customers’ Opinions.
Artificial Neural Networks and Machine Learning – ICANN 2025. Vol. 4. Cham: Springer, 2025 - (Ružejnikov, J.; Guy, T.), s. 351-365. Lecture Notes in Computer Science, 16071. ISBN 978-3-032-04554-6. E-ISSN 0302-9743.
[ICANN 2025: International Conference on Artificial Neural Networks /34./. Kaunas (LT), 09.09.2025-12.09.2025]
Grant CEP: POSK EU(XE) 101168272
Institucionální podpora: RVO:67985556
Klíčová slova: Decision-making * Fully probabilistic design * Knowledge representation * Opinion dynamics * Opinion merging * Trust
Obor OECD: Applied mathematics
https://library.utia.cas.cz/separaty/2025/AS/guy-0640202.pdf
Ružejnikov, Jurij
Trvalý odkaz: https://hdl.handle.net/11104/0371115

Citace, recenze▾
Citace:
DEGROOT, M., MORTERA, J. OPTIMAL LINEAR OPINION POOLS. MANAGEMENT SCIENCE. roč. 37, č. 5 (1991), s. 546-558. ISSN 0025-1909.
KARNY, Miroslav. Optimized geometric pooling of probabilities for information fusion and forgetting. AUTOMATICA. roč. 177, (2025), č. článku 112337. ISSN 0005-1098. Dostupné z: https://doi.org/10.1016/j.automatica.2025.112337
LIU, P., LI, Y., WANG, P. Social Trust-Driven Consensus Reaching Model for Multiattribute Group Decision Making: Exploring Social Trust Network Completeness. IEEE TRANSACTIONS ON FUZZY SYSTEMS. roč. 31, č. 9 (2023), s. 3040-3054. ISSN 1063-6706. Dostupné z: https://doi.org/10.1109/TFUZZ.2023.3241145
QUINN, A., KARNY, Miroslav, GUY, Tatiana V. Optimal design of priors constrained by external predictors. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. roč. 84, (2017), s. 150-158. ISSN 0888-613X. Dostupné z: https://doi.org/10.1016/j.ijar.2017.02.001
ROMEIJN, J. An Interpretation of Weights in Linear Opinion Pooling. EPISTEME-A JOURNAL OF INDIVIDUAL AND SOCIAL EPISTEMOLOGY. roč. 21, č. 1 (2024), s. 19-33. ISSN 1742-3600. Dostupné z: https://doi.org/10.1017/epi.2020.45
ROY, F., HASAN, M. COMPARATIVE ANALYSIS OF DIFFERENT TRUST METRICS OF USER-USER TRUST-BASED RECOMMENDATION SYSTEM. COMPUTER SCIENCE-AGH. roč. 23, č. 3 (2022), s. 337-375. ISSN 1508-2806. Dostupné z: https://doi.org/10.7494/csci.2022.23.3.4227
RUFO, M. J., PEREZ, C. J., MARTIN, J. Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. roč. 207, č. 1 (2010), s. 284-289. ISSN 0377-2217. Dostupné z: https://doi.org/10.1016/j.ejor.2010.04.005
SARWATE, Anand D., IEEE. Merging Opinions by Social Sampling of Posteriors. 2012 50TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON). IEEE, 2012. , (2012), s. 379-385. ISBN 978-1-4673-4537-8 nebo 978-1-4673-4539-2. ISSN 2474-0195.
WANG YA, CAI MEI, JIAN XINGLIAN. Consensus model of social network group decision-making based on trust relationship among experts and expert reliability. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS. roč. 34, č. 6 (2023), s. 1576-1588. ISSN 1004-4132. Dostupné z: https://doi.org/10.23919/JSEE.2023.000021