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Sandor Szedmak

Showing results (1-10 of 11) with videos related to

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Neural Computation|November 2, 2004
Canonical correlation analysis: an overview with application to learning methodsDavid R Hardoon, Sandor Szedmak, John Shawe-Taylor
BMC Bioinformatics|May 2, 2024
Protein function prediction through multi-view multi-label latent tensor reconstructionRobert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu
Plos Computational Biology|June 3, 2022
Strain design optimization using reinforcement learningMaryam Sabzevari, Sandor Szedmak, Merja Penttilä, et al.
Frontiers in Computational Neuroscience|September 1, 2015
Diversity priors for learning early visual featuresHanchen Xiong, Antonio J Rodríguez-Sánchez, Sandor Szedmak, et al.
BMC Proceedings|December 19, 2008
Towards structured output prediction of enzyme functionKatja Astikainen, Liisa Holm, Esa Pitkänen, et al.
Bioinformatics (Oxford, England)|November 14, 2018
Liquid-chromatography retention order prediction for metabolite identificationEric Bach, Sandor Szedmak, Céline Brouard, et al.
Npj Drug Discovery|July 1, 2026
Predicting drug combination response surfacesRiikka Huusari, Tianduanyi Wang, Sandor Szedmak, et al.
Briefings in Bioinformatics|March 13, 2025
Scaling up drug combination surface predictionRiikka Huusari, Tianduanyi Wang, Sandor Szedmak, et al.
Bioinformatics (Oxford, England)|July 12, 2021
Modeling drug combination effects via latent tensor reconstructionTianduanyi Wang, Sandor Szedmak, Haishan Wang, et al.
Nature Communications|December 2, 2020
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effectsHeli Julkunen, Anna Cichonska, Prson Gautam, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neural Computation|November 2, 2004
Canonical correlation analysis: an overview with application to learning methodsDavid R Hardoon, Sandor Szedmak, John Shawe-Taylor
BMC Bioinformatics|May 2, 2024
Protein function prediction through multi-view multi-label latent tensor reconstructionRobert Ebo Armah-Sekum, Sandor Szedmak, Juho Rousu
Plos Computational Biology|June 3, 2022
Strain design optimization using reinforcement learningMaryam Sabzevari, Sandor Szedmak, Merja Penttilä, et al.
Frontiers in Computational Neuroscience|September 1, 2015
Diversity priors for learning early visual featuresHanchen Xiong, Antonio J Rodríguez-Sánchez, Sandor Szedmak, et al.
BMC Proceedings|December 19, 2008
Towards structured output prediction of enzyme functionKatja Astikainen, Liisa Holm, Esa Pitkänen, et al.
Bioinformatics (Oxford, England)|November 14, 2018
Liquid-chromatography retention order prediction for metabolite identificationEric Bach, Sandor Szedmak, Céline Brouard, et al.
Npj Drug Discovery|July 1, 2026
Predicting drug combination response surfacesRiikka Huusari, Tianduanyi Wang, Sandor Szedmak, et al.
Briefings in Bioinformatics|March 13, 2025
Scaling up drug combination surface predictionRiikka Huusari, Tianduanyi Wang, Sandor Szedmak, et al.
Bioinformatics (Oxford, England)|July 12, 2021
Modeling drug combination effects via latent tensor reconstructionTianduanyi Wang, Sandor Szedmak, Haishan Wang, et al.
Nature Communications|December 2, 2020
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effectsHeli Julkunen, Anna Cichonska, Prson Gautam, et al.
Pageof 2