{"id":1771,"date":"2026-07-04T23:02:56","date_gmt":"2026-07-04T21:02:56","guid":{"rendered":"https:\/\/us.edu.pl\/instytut\/ii\/?p=1771"},"modified":"2026-07-14T22:55:56","modified_gmt":"2026-07-14T20:55:56","slug":"iii-stacjonarne-seminarium-us-ur","status":"publish","type":"post","link":"https:\/\/us.edu.pl\/instytut\/ii\/2026\/07\/04\/iii-stacjonarne-seminarium-us-ur\/","title":{"rendered":"III stacjonarne seminarium US-UR"},"content":{"rendered":"

W dniu 25.06.2026 odby\u0142o si\u0119 III stacjonarne seminarium U\u015a-UR w Katowicach.<\/p>\n

Harmonogram<\/strong><\/p>\n

10:00 -10.30 \u2013 \u201eczekamy na Was\u201d dost\u0119pne kawa i ciastka
\n10:30-10.40 – Przywitanie
\n10.40-11.20 – dr Piotr Grochowalski: Modelowanie system\u00f3w wspomagania decyzji w warunkach
\nniepewno\u015bci
\n11:20 \u2013 12:00 \u2013 dr \u0141ukasz Wawrowski: Interpretowalny model zast\u0119pczy: jak regu\u0142y decyzyjne
\npomagaj\u0105 zrozumie\u0107 \u201eczarn\u0105 skrzynk\u0119\u201d?
\n12:00- 13:30 \u2013 Sesja posterowa
\n13:30-14:30- Obiad
\n14:30-15:00 \u2013 prof. Piotr Porwik: HAST: nienadzorowana detekcja dryftu koncepcji z wykorzystaniem
\nprojekcji Hadamarda i statystycznego g\u0142osowania
\n15:00 \u2013 zako\u0144czenie
\n15:15 \u2013 kawa, networking<\/p>\n

Postery<\/strong><\/p>\n

\u2022 Jakub Kiry\u0142a, MUFLON – a computational library for intutionistic fuzzy relational equations
\n\u2022 Aleksander Wojtowicz, Wies\u0142aw Paja, Adaptive Interval Feature Selector
\n\u2022 Marcin Mrukowicz, Wojciech Ga\u0142ka, Marcin Wielgos, Urszula Bentkowska, Ensemble
\nregression model for microarray data
\n\u2022 Krzysztof Pancerz, Jaromir Sarzy\u0144ski, Rough Set Flow Graphs over Ontological Graphs in
\nExplainable Deep Learning Systems
\n\u2022 Oskar Pa\u015bko, Zbigniew Gom\u00f3\u0142ka, Ewa \u017bes\u0142awska, Barbara Czuba, Rozpoznawanie stylu
\npoznawczego u dzieci z wykorzystaniem badania Matching Familiar Figures Test oraz metod
\nuczenia maszynowego
\n\u2022 Filip Kaczmarczyk, Zbigniew Gom\u00f3\u0142ka, Ewa \u017bes\u0142awska, Barbara Czuba, Identyfikacja przyczyn
\ntrudno\u015bci uczenia si\u0119 z wykorzystaniem testu Bentona oraz wybranych architektur DNN
\n\u2022 Anna Kr\u00f3l, Pawe\u0142 Dryga\u015b, Fuzzy implications with horizontal thresholds
\n\u2022 Zofia Matusiewicz, Teresa Mroczek, Some application possibilities of fuzzy techniques in data
\nanalysis
\n\u2022 Kacper Mroczek, Micha\u0142 K\u0119pski, Adversarial Attack on Selected Neural Network Architectures
\nfor Human Pose Estimation
\n\u2022 Katarzyna Kusztal, Ma\u0142gorzata Przyby\u0142a-Kasperek, Class Balancing in Conflict-Aware
\nDistributed Classification
\n\u2022 Benjamin Agyare Addo, Malgorzata Przybyla-Kasperek, Hierarchical Trees for Dispersed Data
\n\u2022 Bart\u0142omiej Bara\u0144ski, Beata Zielosko, Urszula Sta\u0144czyk, A Multi-Level Framework for Attribute
\nWeighting\u2022 Kacper Ksi\u0105\u017cek, Ma\u0142gorzata Przyby\u0142a-Kasperek, Hybrid, Optimized, and Spatially Adaptive
\nSolar Irradiance Forecasting in Poland
\n\u2022 Marcin Szyma\u0144ski, Agnieszka Nowak-Brzezi\u0144ska, Deep representation learning for clustering
\nand anomaly detection in tabular data
\n\u2022 Marcin Szyma\u0144ski, Urszula Boryczka, Parameter-Swept PSO in 3D Benchmark Functions:
\nWide-to-Micro Tuning
\n\u2022 Anton Dmytrenko, Beata Zielosko, Azimkhon Ostonov, Mikhail Moshkov, When Decisions Are
\nBlocked: Inhibitory Rules Induced from Tree Ensembles
\n\u2022 Dawid Drabek, Agnieszka Nowak-Brzezi\u0144ska, Hybrid Decision Strategies as Trade-off Shapers
\nin Operational Systems
\n\u2022 Micha\u0142 Lasek, Beata Zielosko, Selected methods for word embedding in e-mail classification
\n\u2022 Jakub Sacewicz, Ma\u0142gorzata Przyby\u0142a-Kasperek, Evaluating Unified and Diverse Ensemble
\nCoalitions Using Various Conflict Measures in Dispersed Data
\n\u2022 Kamil Jablo\u0144ski, Beata Zielosko, From the set cover problem to the decision: minimizing
\npatterns for knowledge representation in information systems
\n\u2022 Igor Gaibei, Topological Graph Inference Model
\n\u2022 Przemys\u0142aw Kud\u0142acik, Reasoning based on fuzzy truth value and intuitionistic fuzzy sets
\n\u2022 Jeremi Kowalski, Agnieszka Nowak-Brzezi\u0144ska, Adversarial Attacks on Anomaly Detection
\nModels for Network Traffic Analysis<\/p>\n

 <\/p>\n

 <\/p>\n

\"\"\"\"\"\"\"\"\"\"\"\"<\/p>","protected":false},"excerpt":{"rendered":"

W dniu 25.06.2026 odby\u0142o si\u0119 III stacjonarne seminarium U\u015a-UR w Katowicach. Harmonogram 10:00 -10.30 \u2013 \u201eczekamy na Was\u201d dost\u0119pne kawa i ciastka 10:30-10.40 – Przywitanie 10.40-11.20 – dr Piotr Grochowalski: Modelowanie system\u00f3w wspomagania decyzji w warunkach niepewno\u015bci 11:20 \u2013 12:00 \u2013 dr \u0141ukasz Wawrowski: Interpretowalny model zast\u0119pczy: jak regu\u0142y decyzyjne pomagaj\u0105 zrozumie\u0107 \u201eczarn\u0105 skrzynk\u0119\u201d? 12:00- […]<\/p>\n

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