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
Fingerprint
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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Protein function prediction through multi-view multi-label latent tensor reconstruction
Armah-Sekum, R. E., Szedmak, S. & Rousu, J., 2 May 2024, In: BMC Bioinformatics. 25, 1, p. 1-21 21 p., 174.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)36 Downloads (Pure) -
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
1 Citation (Scopus) -
Scalable variable selection for two-view learning tasks with projection operators
Szedmak, S., Huusari, R., Duong Le, T. H. & Rousu, J., 22 Dec 2023, (E-pub ahead of print) In: Machine Learning.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
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 AccessFile13 Citations (Scopus)185 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 AccessFile9 Citations (Scopus)84 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. & Xiang, W.
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., Szedmak, S., Cichonska, A., Brouard, C., Julkunen, H., Shen, H., Sivula, T. & Mapar, P.
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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Protein function prediction through multi-view multi-label latent tensor reconstruction
Armah-Sekum, R. (Creator), Szedmak, S. (Creator) & Rousu, J. (Creator), figshare, 3 May 2024
DOI: 10.6084/m9.figshare.c.7215643.v1, https://springernature.figshare.com/collections/Protein_function_prediction_through_multi-view_multi-label_latent_tensor_reconstruction/7215643/1
Dataset
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Machine Learning (Journal)
Sandor Szedmak (Reviewer)
13 May 2021Activity: Publication peer-review and editorial work types › Reviewer of scientific journal
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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
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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AI predicts which drug combinations kill cancer cells
01/12/2020 → 04/12/2020
15 items of Media coverage
Press/Media: Media appearance
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Machine Learning Model Predicts Which Drug Combinations Kill Cancer Cells
02/12/2020
2 items of Media coverage
Press/Media: Media appearance