University of Primorska
Faculty of Mathematics, Natural Sciences and Information Technologies
On Monday, August 24, 2026, at 4:00 PM, two lectures will be held as part of the MONDAY RIN SEMINAR, organized by the Departments of Information Sciences and Technologies UP FAMNIT and UP IAM.
TIME/LOCATION: August 24, 2026, at 4:00 PM, via Zoom.
—————————————————————————————————————————————————————-
1st lecture:
Lecturer: Nemanja CVETIĆ
Nemanja Cvetić is a Master’s student in Computer Science with a Bachelor’s degree in Information Technology. His research interests include machine learning, explainable artificial intelligence (XAI), data science, computer science and software engineering. His current research focuses on evaluating model interpretability techniques and their practical applications in machine learning.
Title: Model interpretability in machine learning: A Comparison of LinearSHAP TreeSHAP, and LIME on the California Housing Dataset
—————————————————————————————————————————————————————-
ABSTRACT: This seminar presents an empirical comparison of SHAP (LinearSHAP and TreeSHAP) and LIME as post-hoc explainability methods for machine learning models. Using Linear Regression and Random Forest models trained on the California Housing dataset, the study evaluates the quality, consistency, and interpretability of feature attributions. The results demonstrate that SHAP provides more stable and theoretically grounded explanations, while LIME shows greater variability, particularly for complex non-linear models.
The seminar will be conducted in English.
—————————————————————————————————————————————————————-
2nd lecture: Tilen GIMPELJ
Tilen Gimpelj is a student completing his 2nd year of the master’s program Data Science at UP FAMNIT. He works at the Department of Applied Natural Sciences under Assoc. Prof. Dr. Marko Jukić, and as a student he works at Novartis as a developer in the Bioprocess Development Department.
—————————————————————————————————————————————————————-
Title: Comparison of clustering algorithms for identifying conserved waters in an E. coli DNA gyrase
ABSTRACT:
The seminar compares three algorithms – KMeans, DBSCAN and OPTICS for the purpose of identifying conserved water molecules in the DNA gyrase of E.Coli using water oxygen positions from experimentally determined protein structures aligned to the reference structure 4DUH.
The seminar will be conducted in English.
The two seminars will be held online via Zoom, starting at 4:00 PM, at the following link: https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09
Meeting ID: 297 328 207
Passcode: 123456789
You are cordially invited!