Probabilistic Machine Learning

Research output

Research output per year 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

• 196 Article
• 149 Conference article in proceedings
• 19 Doctoral Thesis
• 10 Paper
• 45 More
  • 7 Chapter
  • 6 Book
  • 6 Conference article
  • 4 Abstract
  • 3 Meeting Abstract
  • 3 Letter
  • 2 Anthology
  • 2 Poster
  • 2 Review Article
  • 2 Other contribution
  • 2 Patent
  • 2 Working paper
  • 1 Foreword / postscript
  • 1 Comment/debate
  • 1 Editorial
  • 1 Special issue

Research output per year

Research output per year

Search results

• 2023

  Online Simulator-Based Experimental Design for Cognitive Model Selection

  Aushev, A., Putkonen, A., Clarté, G., Chandramouli, S., Acerbi, L., Kaski, S. & Howes, A., Dec 2023, In: Computational Brain and Behavior. 6, 4, p. 719-737 19 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Experiments 100%
  • Design 100%
  • Models 100%
  • Model Selection 100%
  • Experimental Design 100%
  1 Citation (Scopus)

  27 Downloads (Pure)

• Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming

  Riutort-Mayol, G., Bürkner, P. C., Andersen, M. R., Solin, A. & Vehtari, A., Feb 2023, In: STATISTICS AND COMPUTING. 33, 1, p. 1-28 28 p., 17.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Gaussian Process 100%
  • Hilbert Space 100%
  • Approximates 100%
  • Hilbert Spaces 100%
  • Basis Function 50%
  21 Citations (Scopus)

  174 Downloads (Pure)

• Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer

  Liao, Z., Xie, L., Mamitsuka, H. & Zhu, S., 1 Jan 2023, In: Bioinformatics (Oxford, England). 39, 1, p. 1-9 9 p., btac814.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Generative Model 100%
  • Autoencoder 100%
  • Models 75%
  • Optimization 75%
  • Generation 50%
  12 Citations (Scopus)

  53 Downloads (Pure)

• Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity

  Modrak, M., Moon, A. H., Shinyoung, K., Burkner, P.-C., Huurre, N., Faltejsková, K., Gelman, A. & Vehtari, A., 2023, In: Bayesian Analysis. p. 1-28

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Simulation 100%
  • Computation 100%
  • Bayesian 100%
  • Cheque 100%
  • Test Quantity 100%
  13 Downloads (Pure)

• Stochastic cluster embedding

  Yang, Z., Chen, Y., Sedov, D., Kaski, S. & Corander, J., Feb 2023, In: STATISTICS AND COMPUTING. 33, 1, p. 1-14 14 p., 12.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Embedding 100%
  • Visualization 42%
  • Embedding Method 28%
  • Software 14%
  • Experimental Result 14%
  2 Citations (Scopus)

  64 Downloads (Pure)

• TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs

  Jokinen, E., Dumitrescu, A., Huuhtanen, J., Gligorijevic, V., Mustjoki, S., Bonneau, R., Heinonen, M. & Lähdesmäki, H., 1 Jan 2023, In: Bioinformatics. 39, 1, 8 p., btac788.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • T Cell Receptor 100%
  • Recognition 100%
  • Immune Response 16%
  • Autoimmunity 16%
  • Dynamics 16%
  12 Citations (Scopus)

  90 Downloads (Pure)

• The influence of inter-regional delays in generating large-scale brain networks of phase synchronization

  Williams, N., Ojanperä, A., Siebenhühner, F., Toselli, B., Palva, S., Arnulfo, G., Kaski, S. & Palva, J. M., 1 Oct 2023, In: NeuroImage. 279, p. 1-22 22 p., 120318.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Network Model 100%
  • Magnetoencephalography 100%
  • Communication 33%
  • Approximate Bayesian Computation 22%
  • Brain 16%
  3 Citations (Scopus)

  66 Downloads (Pure)

• Toward AI assistants that let designers design

  De Peuter, S., Oulasvirta, A. & Kaski, S., Mar 2023, In: AI Magazine. 44, 1, p. 85-96 12 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Artificial Intelligence 100%
  • Design 100%
  • Models 16%
  • User 16%
  • Reasoning 16%
  12 Citations (Scopus)

  191 Downloads (Pure)

• Using reference models in variable selection

  Pavone, F., Piironen, J., Bürkner, P. C. & Vehtari, A., Mar 2023, In: Computational Statistics. 38, 1, p. 349-371 23 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Feature Selection 100%
  • Reference Model 100%
  • Models 40%
  • Selection Method 20%
  • Defense Mechanism 20%
  17 Citations (Scopus)

  67 Downloads (Pure)
• 2022

  Accounting for stellar activity signals in radial-velocity data by using change point detection techniques star

  Simola, U., Bonfanti, A., Dumusque, X., Cisewski-Kehe, J., Kaski, S. & Corander, J., 23 Aug 2022, In: Astronomy and Astrophysics. 664, p. 1-29 29 p., 127.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Datum 100%
  • Detection 100%
  • Accounting 100%
  • Stars 100%
  • Radial-Velocity Method 100%
  7 Citations (Scopus)

  59 Downloads (Pure)

• Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort

  Malén, T., Karjalainen, T., Isojärvi, J., Vehtari, A., Bürkner, P. C., Putkinen, V., Kaasinen, V., Hietala, J., Nuutila, P., Rinne, J. & Nummenmaa, L., 15 Jul 2022, In: NeuroImage. 255, p. 1-9 9 p., 119149.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Brain 100%
  • Age 100%
  • Atlas 100%
  • Dopamine Receptor D2 100%
  • Positron Emission Tomography 100%
  15 Citations (Scopus)

  134 Downloads (Pure)

• Bambi: A simple interface for fitting Bayesian linear models in Python

  Capretto, T., Piho, C., Kumar, R., Westfall, J., Yarkoni, T. & Martin, O., 15 Aug 2022, In: Journal of Statistical Software. 103, 15, 29 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Models 100%
  • Bayesian Model 100%
  • Linear Models 100%
  • Model Building 100%
  • Linear Model 100%
  41 Citations (Scopus)

  693 Downloads (Pure)

• Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful

  Yao, Y., Pirš, G., Vehtari, A. & Gelman, A., Dec 2022, In: Bayesian Analysis. 17, 4, p. 1043-1071 29 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Models 100%
  • Stacking 100%
  • Bayesian 100%
  • Performance 40%
  • Functions 20%
  23 Citations (Scopus)

  198 Downloads (Pure)

• CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture

  Lin, C., Zhao, G., Yang, Z., Yin, A., Wang, X., Guo, L., Chen, H., Ma, Z., Zhao, L., Luo, H., Wang, T., Ding, B., Pang, X. & Chen, Q., 2022, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19, 3, p. 1285-1293 9 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Chromosome 100%
  • Human Chromosome 100%
  • Classification 100%
  • Automatic Classification 100%
  • Residual Neural Network 100%
  42 Citations (Scopus)

• Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans

  Järnstedt, J., Sahlsten, J., Jaskari, J., Kaski, K., Mehtonen, H., Lin, Z., Hietanen, A., Sundqvist, O., Varjonen, V., Mattila, V., Prapayasotok, S. & Nalampang, S., Dec 2022, In: Scientific Reports. 12, 1, p. 1-11 11 p., 18598.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Cone Beam Computed Tomography 100%
  • Athletic Training 12%
  • Patient 12%
  • Accuracy 12%
  • Consensus 12%
  10 Citations (Scopus)

  61 Downloads (Pure)

• DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction

  You, R., Qu, W., Mamitsuka, H. & Zhu, S., 24 Jun 2022, In: Bioinformatics (Oxford, England). 38, 1, p. 220-228 9 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Core 100%
  • Model 100%
  • Prediction 100%
  • Binding 100%
  • Affinity 100%
  18 Citations (Scopus)

  96 Downloads (Pure)

• DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction

  Guvencpaltun, B., Kaski, S. & Mamitsuka, H., 11 Apr 2022, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19, 4, p. 2197-2207 11 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Learning 100%
  • Forecasting 100%
  • Drug Response 100%
  • Drug 100%
  • Cross-Validation 80%
  1 Citation (Scopus)

  105 Downloads (Pure)

• Gene–gene interaction detection with deep learning

  Cui, T., El Mekkaoui, K., Reinvall, J., Havulinna, A. S., Marttinen, P. & Kaski, S., 12 Nov 2022, In: Communications Biology. 5, 1, p. 1-12 12 p., 1238.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Detection 100%
  • Design 33%
  • Representation 33%
  • Procedures 33%
  13 Citations (Scopus)

  96 Downloads (Pure)

• Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison

  Säilynoja, T., Bürkner, P. C. & Vehtari, A., 15 Apr 2022, In: STATISTICS AND COMPUTING. 32, 2, p. 1-21 21 p., 32.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Samples 100%
  • Goodness of Fit Test 100%
  • Statistics 40%
  • Optimization 40%
  • Probability Theory 40%
  19 Citations (Scopus)

  93 Downloads (Pure)

• HPODNets: deep graph convolutional networks for predicting human protein–phenotype associations

  Liu, L., Mamitsuka, H. & Zhu, S., 1 Feb 2022, In: Bioinformatics. 38, 3, p. 799–808 10 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Association 100%
  • Phenotype 100%
  • Graph Convolutional Network 100%
  • Protein 75%
  • Ontology 50%
  7 Citations (Scopus)

  118 Downloads (Pure)

• Human-in-the-loop assisted de novo molecular design

  Sundin, I., Voronov, A., Xiao, H., Papadopoulos, K., Bjerrum, E. J., Heinonen, M., Patronov, A., Kaski, S. & Engkvist, O., Dec 2022, In: Journal of Cheminformatics. 14, 1, p. 1-16 16 p., 86.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Design 100%
  • Human-in-the-Loop 100%
  • Scoring Function 100%
  • Molecule 66%
  • User 50%
  15 Citations (Scopus)

  128 Downloads (Pure)

• Identification of multiplicatively acting modulatory mutational signatures in cancer

  Kičiatovas, D., Guo, Q., Kailas, M., Pesonen, H., Corander, J., Kaski, S., Pitkänen, E. & Mustonen, V., Dec 2022, In: BMC Bioinformatics. 23, 1, p. 1-15 15 p., 522.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Analysis 100%
  • Malignant Neoplasm 100%
  • Identification 100%
  • Models 75%
  • Taxonomy 75%
  2 Citations (Scopus)

  36 Downloads (Pure)

• Likelihood-free inference by ratio estimation

  Thomas, O. M., Dutta, R., Corander, J., Kaski, S. & Gutmann, M., Mar 2022, In: Bayesian Analysis. 17, 1, 31 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Inference 100%
  • Summary Statistic 100%
  • Parameters 16%
  • Selection 16%
  • Probability Distribution 16%
  45 Citations (Scopus)

  108 Downloads (Pure)

• Likelihood-Free Inference with Deep Gaussian Processes

  Aushev, A., Pesonen, H., Heinonen, M., Corander, J. & Kaski, S., Oct 2022, In: Computational Statistics & Data Analysis. 174, p. 1-19 19 p., 107529.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Gaussian Process 100%
  • Models 75%
  • Optimization 75%
  • Performance 75%
  • Target Distribution 50%
  1 Citation (Scopus)

  65 Downloads (Pure)

• Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation

  Lees, J. A., Tonkin-Hill, G., Yang, Z. & Corander, J., 10 Oct 2022, In: Philosophical Transactions of the Royal Society B: Biological Sciences. 377, 1861, p. 1-12 12 p., 20210237.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Population Structure 100%
  • Embedding 100%
  • Representation 100%
  • Sequencing 66%
  • Infectious Agent 66%
  8 Citations (Scopus)

  96 Downloads (Pure)

• Modeling binding specificities of transcription factor pairs with random forests

  Antikainen, A. A., Heinonen, M. & Lähdesmäki, H., 3 Jun 2022, In: BMC Bioinformatics. 23, 1, p. 1-17 17 p., 212.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Transcription Factor 100%
  • Random Forest 100%
  • Position Weight Matrix 26%
  • DNA 20%
  • Binding Site 20%
  5 Citations (Scopus)

  38 Downloads (Pure)

• Pathfinder: Parallel quasi-Newton variational inference

  Zhang, L., Carpenter, B., Gelman, A. & Vehtari, A., 2022, In: Journal of Machine Learning Research. 23, p. 1-49 49 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Inference 100%
  • Newton 100%
  • Kullback-Leibler Divergence 100%
  • Density 75%
  • Core 50%
  38 Downloads (Pure)

• R* : A Robust MCMC Convergence Diagnostic with Uncertainty Using Decision Tree Classifiers

  Lambert, B. & Vehtari, A., Jun 2022, In: Bayesian Analysis. 17, 2, p. 353-379 27 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Chains 100%
  • Markov Chain Monte Carlo 100%
  • Decision Tree 100%
  • Convergence 100%
  • Markov Chain 100%
  8 Citations (Scopus)

  104 Downloads (Pure)

• SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions

  Nguyen, D. A., Nguyen, C. H., Petschner, P. & Mamitsuka, H., 24 Jun 2022, In: Bioinformatics (Oxford, England). 38, 1, p. 333-341 9 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Drug 100%
  • Side Effect 100%
  • Drug-Drug Interaction 100%
  • Sparsity 50%
  • Models 33%
  11 Citations (Scopus)

  123 Downloads (Pure)

• Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors

  Yao, Y., Vehtari, A. & Gelman, A., 2022, In: Journal of Machine Learning Research. 23, p. 1-45 45 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Computation 100%
  • Bayesian 100%
  • Inference 80%
  • Markov Chain Monte Carlo 80%
  • Models 60%
  16 Citations (Scopus)

  193 Downloads (Pure)

• The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study

  Mononen, T., Kujala, J., Liljeström, M., Leppäaho, E., Kaski, S. & Salmelin, R., 3 Nov 2022, In: Frontiers in Neuroscience. 16, p. 1-16 16 p., 1019572.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Magnetoencephalography 100%
  • Functional Magnetic Resonance Imaging 100%
  • Neural Activity 100%
  • Correlation 33%
  • Brain 22%
  101 Downloads (Pure)

• Unbiased estimator for the variance of the leave-one-out cross-validation estimator for a Bayesian normal model with fixed variance

  Sivula, T., Magnusson, M. & Vehtari, A., 3 Feb 2022, In: Communications in Statistics: Theory and Methods. 24 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Variance 100%
  • Cross-Validation 100%
  • Bayesian 100%
  • Estimation Theory 100%
  • Statistical Dispersion 33%
  7 Citations (Scopus)

• Variational inference as an alternative to MCMC for parameter estimation and model selection

  Gunapati, G., Jain, A., Srijith, P. K. & Desai, S., 25 Jan 2022, In: Publications of the Astronomical Society of Australia. 39, 12 p., 001.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Model 100%
  • Alternative 100%
  • Inference 100%
  • Markov Chain Monte Carlo 100%
  • Parameter Estimation 100%
  16 Citations (Scopus)
• 2021

  Accounting for spatial dependence improves relative abundance estimates in a benthic marine species structured as a metapopulation

  Cavieres, J., Monnahan, C. C. & Vehtari, A., Aug 2021, In: Fisheries Research. 240, 10 p., 105960.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Model 100%
  • Estimate 100%
  • Abundance 100%
  • Species 100%
  • Accounting 100%
  5 Citations (Scopus)

  47 Downloads (Pure)

• A fast regression via SVD and marginalization

  Greengard, P., Gelman, A. & Vehtari, A., 2 Aug 2021, In: Computational Statistics. 20 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Moment 100%
  • Regression 100%
  • Marginalization 100%
  • Coefficient 75%
  • Evaluation 50%
  3 Citations (Scopus)

• A survey on adverse drug reaction studies: Data, tasks and machine learning methods

  Nguyen, D. A., Nguyen, C. H. & Mamitsuka, H., Jan 2021, In: Briefings in Bioinformatics. 22, 1, p. 164-177 14 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Adverse Drug Reaction 100%
  • Drug 18%
  • Drug Discovery 9%
  34 Citations (Scopus)

  185 Downloads (Pure)

• Bayesian inference of ODEs with Gaussian processes

  Hegde, P., Yıldız, Ç., Lähdesmäki, H., Kaski, S. & Heinonen, M., 2021, (Unpublished) In: arXiv.org.

  Research output: Contribution to journal › Article › Scientific

• BERTMeSH: Deep contextual representation learning for large-scale high-performance MeSH indexing with full text

  You, R., Liu, Y., Mamitsuka, H. & Zhu, S., 1 Mar 2021, In: Bioinformatics. 37, 5, p. 684-692 9 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Learning 100%
  • Indexing 100%
  • Subject Headings 100%
  • Representation Learning 100%
  • Subject Heading 100%
  30 Citations (Scopus)

  90 Downloads (Pure)

• Crop loss identification at field parcel scale using satellite remote sensing and machine learning

  Hiremath, S., Wittke, S., Palosuo, T., Kaivosoja, J., Tao, F., Proll, M., Puttonen, E., Peltonen-Sainio, P., Marttinen, P. & Mamitsuka, H., Dec 2021, In: PloS one. 16, 12, p. 1-21 21 p., e0251952.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Fields 100%
  • Satellites 100%
  • Crops 100%
  • Learning 100%
  • Remote Sensing 100%
  4 Citations (Scopus)

  154 Downloads (Pure)

• DeepGraphGO: Graph neural network for large-scale, multispecies protein function prediction

  You, R., Yao, S., Mamitsuka, H. & Zhu, S., 1 Jul 2021, In: Bioinformatics. 37, p. I262-I271 10 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Prediction Function 100%
  • Graph Neural Network 100%
  • Networks 60%
  • Models 40%
  • Availability 20%
  86 Citations (Scopus)

  174 Downloads (Pure)

• Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models

  Bürkner, P. C., Gabry, J. & Vehtari, A., 2021, In: Computational Statistics. 36, p. 1243–1261 19 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Students 100%
  • Leave 100%
  • Cross-Validation 100%
  • Bayesian 100%
  • Autoregressive Model 18%
  24 Citations (Scopus)

  43 Downloads (Pure)

• Entity Recommendation for Everyday Digital Tasks

  Jacucci, G., Daee, P., Vuong, T., Andolina, S., Klouche, K., Sjöberg, M., Ruotsalo, T. & Kaski, S., Oct 2021, In: ACM Transactions on Computer-Human Interaction. 28, 5, 41 p., 3458919.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Contexts 100%
  • Computing 50%
  • Service 50%
  • Application 50%
  • User 50%
  16 Citations (Scopus)

  124 Downloads (Pure)

• HPOFiller: identifying missing protein–phenotype associations by graph convolutional network

  Liu, L., Mamitsuka, H. & Zhu, S., 15 Sept 2021, In: Bioinformatics. 37, 19, p. 3328–3336 9 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Graph Convolutional Network 100%
  • Association 100%
  • Phenotype 100%
  • Ontology 50%
  • Protein 50%
  33 Downloads (Pure)

• Implicitly Adaptive Importance Sampling

  Paananen, T., Piironen, J., Burkner, P.-C. & Vehtari, A., 9 Feb 2021, In: STATISTICS AND COMPUTING. 31, 2, 19 p., 16.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Importance Sampling 100%
  • Probability Distribution 60%
  • Cross-Validation 60%
  • Proposal Distribution 40%
  • Classes 20%
  21 Citations (Scopus)

  348 Downloads (Pure)

• Informative Bayesian Neural Network Priors for Weak Signals

  Cui, T., Havulinna, A. S., Marttinen, P. & Kaski, S., 2021, In: Bayesian Analysis.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Domain Knowledge 100%
  • Application 66%
  • Sparsity 66%
  • Explained Variance 66%
  • Models 33%
  1 Citation (Scopus)

  113 Downloads (Pure)

• Is this company a lead customer? Estimating stages of B2B buying journey

  Marvasti, N. B., Huhtala, J.-P., Yousefi, Z. R., Vaniala, I., Upreti, B., Malo, P., Kaski, S. & Tikkanen, H., Aug 2021, In: Industrial Marketing Management. 97, p. 126-133 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Company 100%
  • Customer 100%
  • Lead 100%
  • Hidden Markov Models 100%
  • Enterprises 66%
  18 Citations (Scopus)

  388 Downloads (Pure)

• Learning on Hypergraphs With Sparsity

  Nguyen, C. H. & Mamitsuka, H., 1 Aug 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 8, p. 2710-2722 13 p., 9001176.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Sparsity 100%
  • Functions 50%
  • Models 33%
  • Generalization 33%
  • Measures 33%
  10 Citations (Scopus)

  59 Downloads (Pure)

• Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels

  Nguyen, D. H., Nguyen, C. H. & Mamitsuka, H., Jul 2021, In: Machine Learning. 110, 7, p. 1585-1607 23 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Domains 100%
  • Learning Process 100%
  • Representation 100%
  • Convergence 100%
  • Generalization 100%
  7 Citations (Scopus)

  43 Downloads (Pure)

• lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data

  Timonen, J., Mannerström, H., Vehtari, A. & Lähdesmäki, H., 1 Jul 2021, In: Bioinformatics. 37, 13, p. 1860-1867 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

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• Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments

  BinTayyash, N., Georgaka, S., John, S. T., Ahmed, S., Boukouvalas, A., Hensman, J. & Rattray, M., 1 Nov 2021, In: Bioinformatics. 37, 21, p. 3788-3795 8 p.

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