Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case. - Ahmed Abdeen Hamed; Jakub Jonczyk; Mohammad Zaiyan Alam; Ewa Deelman; Byung Suk Lee 001 (ICKG, 2022)

Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles. - Tomasz Dryjanski; Monika Zaleska; Bartek Kuzma; Artur Blazejewski; Zuzanna Bordzicka; Pawel Bujnowski; Klaudia Firlag; Christian Goltz; Maciej Grabowski; Jakub Jonczyk; Grzegorz Klosinski; Bartlomiej Paziewski; et al. (SemEval@NAACL, 2022)

EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability. - Adam Sulek; Jakub Jonczyk; Patryk Orzechowski; Ahmed Abdeen Hamed; Marek Wodzinski (ICCS (3), 2024)

Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset. - Adam Sulek; Jakub Klimczak; Jakub Jonczyk; Tomasz Kosciolek; Tomasz Danel; Barbara Pucelik (ICCS (1), 2025)