Sandor Szedmak
Research Fellow
Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Telefonnummer
+358503044380
Forskningsgrupp
- Professorship Rousu Juho, Research Fellow
- Helsinki Institute for Information Technology (HIIT), Research Fellow
Publikationer
Protein function prediction through multi-view multi-label latent tensor reconstruction
Robert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu
2024
Personalized Learning Systems for Computer Science Students : Analyzing and Predicting Learning Behaviors Using Programming Error Data
Mubina Kamberovic, Senka Krivic, Amra Delic, Sandor Szedmak, Vedran Ljubovic
2023
Scalable variable selection for two-view learning tasks with projection operators
Sandor Szedmak, Riikka Huusari, Tat Hong Duong Le, Juho Rousu
2023
Strain design optimization using reinforcement learning
Maryam Sabzevari, Sandor Szedmak, Merja Penttilä, Paula Jouhten, Juho Rousu
2022
Modeling drug combination effects via latent tensor reconstruction
Tianduanyi Wang, Sandor Szedmak, Haishan Wang, Tero Aittokallio, Tapio Pahikkala, Anna Cichonska, Juho Rousu
2021
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
Heli Julkunen, Anna Cichonska, Prson Gautam, Sandor Szedmak, Jane Douat, Tapio Pahikkala, Tero Aittokallio, Juho Rousu
2020
Using machine learning for decreasing state uncertainty in planning
Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sandor Szedmak, Justus Piater
2020
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction
Sandor Szedmak, Anna Cichonska, Heli Julkunen, Tapio Pahikkala, Juho Rousu
2020
On the generalization of Tanimoto-type kernels to real valued functions
Sandor Szedmak, Eric Bach
2020
Liquid-chromatography retention order prediction for metabolite identification
Eric Bach, Sandor Szedmak, Celine Brouard, Sebastian Boecker, Juho Rousu
2018