Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctoral degree, Natural Sciences, Rutgers University-Camden
Award Date: 8 Oct 2002
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Dive into the research topics where Sandor Szedmak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Personalized Learning Systems for Computer Science Students : Analyzing and Predicting Learning Behaviors Using Programming Error Data
Kamberovic, M., Krivic, S., Delic, A., Szedmak, S. & Ljubovic, V., 26 Jun 2023, p. 86-91. 6 p.Research output: Contribution to conference › Abstract › Scientific › peer-review
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Strain design optimization using reinforcement learning
Sabzevari, M., Szedmak, S., Penttilä, M., Jouhten, P. & Rousu, J., Jun 2022, In: PLoS computational biology. 18, 6, p. 1-18 18 p., e1010177.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)138 Downloads (Pure) -
Modeling drug combination effects via latent tensor reconstruction
Wang, T., Szedmak, S., Wang, H., Aittokallio, T., Pahikkala, T., Cichonska, A. & Rousu, J., 1 Jul 2021, In: Bioinformatics. 37, p. 93-101Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)52 Downloads (Pure) -
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction
Szedmak, S., Cichonska, A., Julkunen, H., Pahikkala, T. & Rousu, J., 2020, (Accepted/In press) In: arXiv.org. cs.LG, 2005.01538, p. 1-14 14 p.Research output: Contribution to journal › Article › Scientific
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Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
Julkunen, H., Cichonska, A., Gautam, P., Szedmak, S., Douat, J., Pahikkala, T., Aittokallio, T. & Rousu, J., 1 Dec 2020, In: Nature Communications. 11, 1, 11 p., 6136.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile44 Citations (Scopus)50 Downloads (Pure)
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AIB: AI technologies for interaction prediction in biomedicine (AIB)
Rousu, J., Huusari, R., Szedmak, S. & Julkunen, H.
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
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MAGITICS: Machine learning for digItal diagnostics of antimicrobial resistance
Rousu, J., Bach, E., Huusari, R. & Szedmak, S.
01/01/2020 → 31/12/2023
Project: Academy of Finland: Other research funding
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Date-Driven Support for Digital Health
Rousu, J., Nguyen Van, L., Sivula, T., Julkunen, H., Shen, H., Cichonska, A., Mapar, P., Szedmak, S. & Brouard, C.
01/01/2016 → 30/06/2018
Project: Academy of Finland: Other research funding
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LiF / Rousu
Rousu, J., Jokinen, E., Mapar, P., Heinonen, M., Szedmak, S. & Czeizler, E.
01/08/2014 → 31/12/2017
Project: Business Finland: Other research funding
Datasets
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Drug combination data used for comboLTR in "Modeling drug combination effects via latent tensor reconstruction"
Wang, T. (Creator), Szedmak, S. (Creator), Wang, H. (Creator), Aittokallio, T. (Creator), Pahikkala, T. (Creator), Cichonska, A. (Creator) & Rousu, J. (Creator), Zenodo, 2021
DOI: 10.5281/zenodo.4625083, https://zenodo.org/record/4625084
Dataset
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International Joint Conference on Artificial Intelligence (Event)
Sandor Szedmak (Reviewer)
12 Mar 2021Activity: Publication peer-review and editorial work types › Reviewer of conference article
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NeurIPS Meetup (Event)
Sandor Szedmak (Reviewer)
27 Feb 2021Activity: Publication peer-review and editorial work types › Reviewer of conference article
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Machine Learning (Journal)
Sandor Szedmak (Reviewer)
13 May 2021Activity: Publication peer-review and editorial work types › Reviewer of scientific journal
Press/Media
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Machine learning methods for structural elucidation in untargeted metabolomics
13/12/2022
1 item of Media coverage
Press/Media: Media appearance
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Machine Learning Model Predicts Which Drug Combinations Kill Cancer Cells
Juho Rousu, Anna Cichonska & Sandor Szedmak
02/12/2020
2 items of Media coverage
Press/Media: Media appearance
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AI predicts which drug combinations kill cancer cells
Juho Rousu, Anna Cichonska & Sandor Szedmak
01/12/2020
12 items of Media coverage
Press/Media: Media appearance