Sandor Szedmak

Research Fellow
Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...

Yhteystiedot

Sähköposti
[email protected]
Puhelinnumero
+358503044380

Tutkimusryhmät

  • Professorship Rousu Juho, Research Fellow
  • Helsinki Institute for Information Technology (HIIT), Research Fellow

Julkaisut

Scalable variable selection for two-view learning tasks with projection operators

Sandor Szedmak, Riikka Huusari, Tat Hong Duong Le, Juho Rousu 2023 Machine Learning

Strain design optimization using reinforcement learning

Maryam Sabzevari, Sandor Szedmak, Merja Penttilä, Paula Jouhten, Juho Rousu 2022 PLoS computational biology

Modeling drug combination effects via latent tensor reconstruction

Tianduanyi Wang, Sandor Szedmak, Haishan Wang, Tero Aittokallio, Tapio Pahikkala, Anna Cichonska, Juho Rousu 2021 Bioinformatics

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 Nature Communications

Using machine learning for decreasing state uncertainty in planning

Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sandor Szedmak, Justus Piater 2020 Journal of Artificial Intelligence Research

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 arXiv.org

Liquid-chromatography retention order prediction for metabolite identification

Eric Bach, Sandor Szedmak, Celine Brouard, Sebastian Boecker, Juho Rousu 2018 Bioinformatics

Learning with multiple pairwise kernels for drug bioactivity prediction

Anna Cichonska, Tapio Pahikkala, Sandor Szedmak, Heli Julkunen, Antti Airola, Markus Heinonen, Tero Aittokallio, Juho Rousu 2018 Bioinformatics