SIS PUT | dr hab. inż. Mikołaj Morzy

1.

Machine learning and natural language processing in clinical trial eligibility criteria parsing: a scoping review / Klaudia Kantor (WIiT), Mikołaj Morzy (WIiT) // Drug Discovery Today - 2024, vol. 29, iss. 10, p. 104139-1-104139-8

Scientific article 200 6,5
2.

Research Report: A Link between Sertraline Treatment and Susceptibility to (Mis)information / Michał Piksa, Karolina Noworyta, Jan Piasecki, Aleksander B. Gundersen, Jonas R. Kunst, Mikołaj Morzy (WIiT), Rafał Ryguła // ACS Chemical Neuroscience - 2024, vol. 15, iss. 7, p. 1515-1522

Scientific article 100 4,1
3.

Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online / Jonas R. Kunst, Aleksander B. Gundersen, Izabela Krysińska (WIiT), Jan Piasecki, Tomi Wójtowicz (WIiT), Rafał Ryguła, Sander van der Linden, Mikołaj Morzy (WIiT) // Nature Communications - 2024, vol. 15, p. 7497-1-7497-17

Scientific article 200 14,7
4.

Improving medical experts’ efficiency of misinformation detection: an exploratory study / Aleksandra Nabożny, Bartłomiej Balcerzak, Mikołaj Morzy (WIiT), Adam Wierzbicki, Paweł Savov, Kamil Warpechowski // World Wide Web - 2023, vol. 26, iss. 2, p. 773-798

Scientific article 100 2,7
5.

Are we willing to share what we believe is true? Factors influencing susceptibility to fake news / Michał Piksa, Karolina Noworyta, Aleksander B. Gundersen, Jonas Kunst, Mikołaj Morzy (WIiT), Jan Piasecki, Rafal Rygula // Frontiers in Psychiatry - 2023, vol. 14

Scientific article 140 3,2

All ARTICLES

1.

Fine-Tuned Transformers and Large Language Models for Entity Recognition in Complex Eligibility Criteria for Clinical Trials / Klaudia Kantor (WIiT), Mikołaj Morzy (WIiT) // W: Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings) / red. B. Marcinkowski - Gdańsk, Polska : Uniwersytet Gdański, 2024

Chapter in monograph / paper 20 140
2.

T2R2: Train, test, record, repeat: incremental framework for NLP model training / Nina Żukowska (WIiT), Antoni Solarski (WIiT), Oskar Szudzik (WIiT), Radosław Winiecki (WIiT), Mikołaj Morzy (WIiT) // W: Progress in Polish Artificial Intelligence Research 5 : Proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI'2024), 18-20.04.2024, Warsaw, Poland / red. Jacek Mańdziuk, Adam Żychowski, Mikołaj Małkiński - Warsaw, Poland : Warsaw University of Technology, 2024 - p. 218-225

Chapter in monograph / paper 20
3.

Aaron Earned an Iron Urn: Speech-to-IPA Models Improve Diagnostic of Pronunciation / Franciszek Olejnik (WIiT), Rafał Stachowiak (WIiT), Izabela Krysińska (WIiT), Mikołaj Morzy (WIiT) // W: Progress in Polish Artificial Intelligence Research 4 / red. Adam Wojciechowski, Piotr Lipiński - Łódź, Polska : Wydawnictwo Politechniki Łódzkiej, 2023 - p. 273-279

Chapter in monograph / paper 20
4.

Introducing Data Mesh Paradigm for Smart City Platforms Design / Marcin Krystek (WIiT), Cezary Mazurek, Mikołaj Morzy (WIiT), Juliusz Pukacki // W: Proceedings of the 56th Annual Hawaii International Conference on System Sciences, January 3-6, 2023 / red. Tung X. Bui - Honolulu, United States : University of Hawaiʻi, 2023 - p. 6885-6892

Chapter in monograph / paper 5 140
5.

Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark / Łukasz Augustyniak, Szymon Woźniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikołaj Morzy (WIiT), Tomasz Kajdanowicz // W: Advances in Neural Information Processing Systems 36 : Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10-16, 2023 / red. A. Oh: Curran Associates, Inc., 2023

Chapter in monograph / paper 5 200

All CHAPTERS

1.

New Trends in Databases and Information Systems : ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings / red. Tatjana Welzer, Johann Eder, Vili Podgorelec, Robert Wrembel (WIiT), Mirjana Ivanović, Johann Gamper, Mikołaj Morzy (WI), Theodoros Tzouramanis, Jérôme Darmont, Aida Kamišalić Latifić - Cham, Switzerland : Springer International Publishing, Communications in Computer and Information Science, CCIS, 2019 - 572 s.

Editing of scientific monograph / conference proceedings 20
2.

Mining social-driven data / Mikołaj Morzy / Poznań, Polska : Wydawnictwo Politechniki Poznańskiej, Rozprawy / Politechnika Poznańska, 2009 - 244 s.

Scientific monograph / habilitation
3.

1st ADBIS Workshop on Data Mining and Knowledge Discovery ADMKD'2005, 15-16 September 2005, Talinn, Estonia. Proceedings / red. Tadeusz Morzy, Mikołaj Morzy, Marek Wojciechowski: Publishing House of Poznań University of Technology, 2005 - 109 s.

Conference proceedings

All BOOKS

1.

Advocating for Enhanced Customer Protection: The Need for Regulatory Oversight of Recommendation Engines within the Framework of the EC's Omnibus Directive / Mikołaj Morzy (WIiT), Sebastian Sikora // r4650_2024

Research report
2.

Nie pozwól algorytmom rządzić Twoim koszykiem: systemy rekomendacyjne w dobie Omnibusa / Mikołaj Morzy (WIiT), Sebastian Sikora // r4651_2024

Research report
3.

Opracowanie metody wizualizacji skupień produktów spożywczych na podstawie ich opisu / Mikołaj Morzy (WIiT) // r1996_2021

Research report
4.

Hierarchical Bitmap Embeddings for Graph Similarity Computation / Mikołaj Morzy (WIiT) // r2009_2021

Research report
5.

Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking / Mikołaj Morzy (WIiT), Tomasz Kajdanowicz, Izabela Krysińska (WIiT) // r1840_2021

Research report

All REPORTS

1.

Mining social-driven data / Mikołaj Morzy / Poznań, Polska : Wydawnictwo Politechniki Poznańskiej, Rozprawy / Politechnika Poznańska, 2009 - 244 s.

Scientific monograph / habilitation

1.

Zaawansowane struktury baz danych wspierające efektywne odkrywanie asocjacji / Mikołaj Morzy / prom. Zbyszko Królikowski, rev. Henryk Rybiński, Jerzy Stefanowski - Poznań, Polska, 2004 - 154 s.

Dissertation

1.

Scalable dimensionality reduction methods for recommender systems / Michał Waldemar Ciesielczyk (WI) / prom. Mikołaj Morzy (WI), Andrzej Szwabe (WE), rev. Jacek Koronacki, Yannis Manolopoulos - Poznań, Polska, 2015 - 137 s.

Dissertation