3 papers
cs.LG2026
Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds
Swagatam Das, Vaclav Snasel
Many geometric statistics and manifold learning pipelines routinely produce observations -- such as tangent vectors or local frames -- whose natural home is a varying family of fib…
cs.IR2025
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
Tin T. Tran, Vaclav Snasel, Loc Tan Nguyen
A recommender system is an important subject in the field of data mining, where the item rating information from users is exploited and processed to make suitable recommendations w…
cs.NE2025
Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
Xiaopeng Wang, Vaclav Snasel, Seyedali Mirjalili +3
This study proposes a novel artificial protozoa optimizer (APO) that is inspired by protozoa in nature. The APO mimics the survival mechanisms of protozoa by simulating their forag…