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Browsing by Author "Heinonen, Markus"

Now showing items 21-34 of 34

Title: MGPfusion Author(s): Jokinen, Emmi; Heinonen, Markus; Lähdesmäki, Harri Date: 2018-07-01 Series: Bioinformatics, Volume 34, issue 13
Title: Modeling binding specificities of transcription factor pairs with random forests Author(s): Antikainen, Anni A.; Heinonen, Markus; Lähdesmäki, Harri Date: 2022-06-03 Series: BMC Bioinformatics, Volume 23, issue 1
Title: Moottorit akkukäyttöisten sähköautojen voimalinjoissa. Author(s): Heinonen, Markus Date: 2015-12-19 Sähkötekniikan korkeakoulu | Bachelor's thesis
Title: A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings Author(s): Remes, Sami; Heinonen, Markus; Kaski, Samuel Date: 2017-11 Series: Proceedings of the 9th Asian Conference on Machine Learning, Proceedings of Machine Learning Research, Volume 77
Title: Predicting recognition between T cell receptors and epitopes with TCRGP Author(s): Jokinen, Emmi; Huuhtanen, Jani; Mustjoki, Satu; Heinonen, Markus; Lähdesmäki, Harri Date: 2021-03-25 Series: PLoS computational biology, Volume 17, issue 3
Title: Prediction and impact of personalized donation intervals Author(s): Toivonen, Jarkko; Koski, Yrjö; Turkulainen, Esa; Prinsze, Femmeke; Della Briotta Parolo, Pietro; Heinonen, Markus; Arvas, Mikko Date: 2022-04 Series: VOX SANGUINIS, Volume 117, issue 4
Title: Random Fourier Features For Operator-Valued Kernels Author(s): Brault, Romain; Heinonen, Markus; d'Alché-Buc, Florence Date: 2016 Series: Proceedings of the 8th Asian Conference on Machine Learning, Proceedings of Machine Learning Research, Volume 63
Title: Sparse Gaussian Processes Revisited Author(s): Rossi, Simone; Heinonen, Markus; Bonilla, Edwin; Shen, Zheyang; Filippone, Maurizio Date: 2021 Series: 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS), Proceedings of Machine Learning Research, Volume 130
Title: Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldolase (DERA) assessed by different protein engineering and machine learning methods Author(s): Voutilainen, Sanni; Heinonen, Markus; Andberg, Martina; Jokinen, Emmi; Maaheimo, Hannu; Pääkkönen, Johan; Hakulinen, Nina; Rouvinen, Juha; Lähdesmäki, Harri; Kaski, Samuel; Rousu, Juho; Penttilä, Merja; Koivula, Anu Date: 2020-12 Series: Applied Microbiology and Biotechnology, Volume 104, issue 24
Title: Tackling covariate shift with node-based Bayesian neural networks Author(s): Trinh, Trung Q; Heinonen, Markus; Acerbi, Luigi; Kaski, Samuel Date: 2022-07-17 Series: Proceedings of the 39th International Conference on Machine Learning, Proceedings of Machine Learning Research, Volume 162
Title: TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs Author(s): Jokinen, Emmi; Dumitrescu, Alexandru; Huuhtanen, Jani; Gligorijevic, Vladimir; Mustjoki, Satu; Bonneau, Richard; Heinonen, Markus; Lähdesmäki, Harri Date: 2023-01-01 Series: Bioinformatics, Volume 39, issue 1
Title: Temporal clustering analysis of endothelial cell gene expression following exposure to a conventional radiotherapy dose fraction using Gaussian process clustering Author(s): Heinonen, Markus; Milliat, Fabien; Benadjaoud, Mohamed Amine; François, Agnés; Buard, Valérie; Tarlet, Georges; D'Alché-Buc, Florence; Guipaud, Olivier Date: 2018-10-01 Series: PLoS ONE, Volume 13, issue 10
Title: Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging Author(s): Talman, Aarne; Celikkanat, Hande; Virpioja, Sami; Heinonen, Markus; Tiedemann, Jörg Date: 2023 Series: Proceedings of the 24th Nordic Conference on Computational Linguistics
Title: Variational multiple shooting for Bayesian ODEs with Gaussian processes Author(s): Hedge, Pashupati; Yildiz, Cagatay; Lähdesmäki, Harri; Kaski, Samuel; Heinonen, Markus Date: 2022 Series: Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR, Proceedings of Machine Learning Research, Volume 180