Professorship Kaski Samuel

Research output

Research output per year 2011 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 196 Article
• 170 Conference article in proceedings
• 15 Paper
• 10 Chapter
• 46 More
  • 7 Doctoral Thesis
  • 6 Conference article
  • 5 Abstract
  • 5 Review Article
  • 4 Software
  • 3 Book
  • 3 Meeting Abstract
  • 3 Other contribution
  • 2 Anthology
  • 2 Poster
  • 2 Letter
  • 2 Patent
  • 1 Foreword / postscript
  • 1 Special issue

Research output per year

Research output per year

Search results

• 2021

  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)

  35 Downloads (Pure)

• Learning to Assist Agents by Observing Them

  Keurulainen, A., Westerlund, I., Kaski, S. & Ilin, A., 2021, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). Springer, p. 519-530 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12894 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • Reinforcement Learning 100%
  • Artificial Intelligence 50%
  • Representation 50%

• Machine learning approaches for drug combination therapies

  Guvenc, B., Kaski, S. & Mamitsuka, H., Nov 2021, In: Briefings in Bioinformatics. 22, 6, p. 1-16 16 p., 293.

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

  Open Access

  File

  • Drug Combination 100%
  • Combination Therapy 100%
  • Malignant Neoplasm 18%
  • Adverse Effect of Drug 18%
  • Analysis 18%
  42 Citations (Scopus)

  316 Downloads (Pure)

• Machine Learning for Metabolic Identification

  Nguyen, D. H., Nguyen, C. H. & Mamitsuka, H., 2021, Creative Complex Systems. Springer, p. 329-350 22 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  Open Access

  File

  • Metabolite 100%
  • Learning 100%
  • Mass Spectrometry 50%
  • Small Molecule 50%
  • Electric Potential 25%
  72 Downloads (Pure)

• Movement syndromes of a Neotropical frugivorous bat inhabiting heterogeneous landscapes in Brazil

  Kerches-Rogeri, P., Ramos, D. L., Siren, J., de Oliveira Teles, B., Alves, R. S. C., Priante, C. F., Ribeiro, M. C., Araújo, M. S. & Ovaskainen, O., 7 Jul 2021, In: Movement Ecology. 9, 1, 12 p., 35.

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

  Open Access

  File

  • Landscapes 100%
  • Movement (Physiology) 100%
  • Syndrome 100%
  • Area 22%
  • Foods 22%
  2 Citations (Scopus)

  61 Downloads (Pure)

• 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.

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

  Open Access

  File

  • Modeling 100%
  • Parametric 100%
  • Count Data 100%
  • Mathematical Model 100%
  • Experiments 100%
  97 Downloads (Pure)

• Online content match-making in B2B markets: Application of neural content modeling

  Upreti, B. R., Huhtala, J.-P., Tikkanen, H., Malo, P., Marvasti, N., Kaski, S., Vaniala, I. & Mattila, P., 12 Jan 2021, In: Industrial Marketing Management. 93, p. 32-40 9 p.

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

  • Application 100%
  • Online Content 100%
  • Content Marketing 100%
  • Models 66%
  • Channels 66%
  7 Citations (Scopus)

• On the Transferability of Neural Models of Morphological Analogies

  Alsaidi, S., Decker, A., Lay, P., Marquer, E., Murena, P.-A. & Couceiro, M., Sept 2021, Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Springer, (Communications in Computer and Information Science; vol. 1524).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • Models 100%
  • Artificial Intelligence 50%
  • Deep Learning 50%
  • Learning Approach 50%
  • Classification Task 50%
  5 Citations (Scopus)

• Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations

  Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., Mar 2021, In: Bayesian Analysis. 16, 1, p. 147-178 32 p.

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

  Open Access

  File

  • Bayesian Inference 100%
  • Gaussian Process 100%
  • Number 33%
  • Samples 33%
  • Inference 33%
  19 Citations (Scopus)

  132 Downloads (Pure)

• Predicting recognition between T cell receptors and epitopes with TCRGP

  Jokinen, E., Huuhtanen, J., Mustjoki, S., Heinonen, M. & Lähdesmäki, H., 25 Mar 2021, In: PLoS computational biology. 17, 3, p. 1-27 27 p., e1008814.

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

  Open Access

  File

  • T Cell Receptor 100%
  • Recognition 100%
  • Complementarity Determining Region 20%
  • Cells 10%
  • Immune Response 10%
  59 Citations (Scopus)

  77 Downloads (Pure)

• Privacy-preserving data sharing via probabilistic modeling

  Jälkö, J., Lagerspetz, E., Haukka, J., Tarkoma, S., Honkela, A. & Kaski, S., 9 Jul 2021, In: Patterns. 2, 7, 10 p., 100271.

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

  Open Access

  File

  • Modeling 100%
  • Privacy Preserving 100%
  • Data Sharing 100%
  • Synthetic Data 100%
  • Models 20%
  9 Citations (Scopus)

  102 Downloads (Pure)

• Regression plane concept for analysing continuous cellular processes with machine learning

  Szkalisity, A., Piccinini, F., Beleon, A., Balassa, T., Varga, I. G., Migh, E., Molnar, C., Paavolainen, L., Timonen, S., Banerjee, I., Ikonen, E., Yamauchi, Y., Ando, I., Peltonen, J., Pietiäinen, V., Honti, V. & Horvath, P., Dec 2021, In: Nature Communications. 12, 1, 9 p., 2532.

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

  Open Access

  File

  • Learning 100%
  • Machine Learning 100%
  • Regression 100%
  • Biological Product 50%
  • Time 25%
  7 Citations (Scopus)

  138 Downloads (Pure)

• Reshaped tensor nuclear norms for higher order tensor completion

  Wimalawarne, K. & Mamitsuka, H., Mar 2021, In: Machine Learning. 110, 3, p. 507-531 25 p.

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

  Open Access

  File
  2 Citations (Scopus)

  97 Downloads (Pure)

• Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations

  Rossi, S., Heinonen, M., Bonilla, E., Shen, Z. & Filippone, M., 2021, 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS). Banerjee, A. & Fukumizu, K. (eds.). Microtome Publishing, 11 p. (Proceedings of Machine Learning Research; vol. 130).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Gaussian Process 100%
  • Approximation (Algorithm) 100%
  • Bayesian Approach 100%
  • Bayesian 100%
  • Models 66%
  102 Downloads (Pure)

• TAIGA hyperspectral remote sensing dataset and baseline multi-task CNN for benchmark

  Pham, P., Cu, T., Laaksonen, J., Mõttus, M., Halme, E. & Molinier, M., 2021

  Research output: Artistic and non-textual form › Software › Scientific

• Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

  Koskela, A., Jälkö, J., Prediger, L. & Honkela, A., 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistics. Banerjee, A. & Fukumizu, K. (eds.). JMLR, 10 p. (Proceedings of Machine Learning Research ; vol. 130).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Differential Privacy 100%
  • Application 50%
  • Algorithms 50%
  • Noise Variance 50%
  • Fast Fourier Transform 50%
  33 Downloads (Pure)
• 2020

  A decision-theoretic approach for model interpretability in Bayesian framework

  Afrabandpey, H., Peltola, T., Piironen, J., Vehtari, A. & Kaski, S., 1 Sept 2020, In: Machine Learning. 109, 9-10, p. 1855-1876 22 p.

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

  Open Access

  File

  • Models 100%
  • Theoretic Approach 100%
  • Interpretability 100%
  • Bayesian Framework 100%
  • Bayesian 100%
  11 Citations (Scopus)

  149 Downloads (Pure)

• A Faster Tree-Decomposition Based Algorithm for Counting Linear Extensions

  Kangas, K., Koivisto, M. & Salonen, S., 1 Aug 2020, In: Algorithmica. 82, 8, p. 2156-2173 18 p.

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

  Open Access

  File

  • Algorithms 100%
  • Computing 12%
  • Models 12%
  • Functions 12%
  • Heuristics 12%
  2 Citations (Scopus)

  101 Downloads (Pure)

• A high-performance implementation of Bayesian matrix factorization with limited communication

  Vander Aa, T., Qin, X., Blomstedt, P., Wuyts, R., Verachtert, W. & Kaski, S., 1 Jan 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). Springer, p. 3-16 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • Communication 100%
  • Matrix Factorization 100%
  • Scalability 42%
  • User 14%
  • Large Scale Data 14%

• Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

  Järvenpää, M., Vehtari, A. & Marttinen, P., 2020, Conference on Uncertainty in Artificial Intelligence (UAI 2020). JMLR, Vol. 124. (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

• Computing Tight Differential Privacy Guarantees Using FFT

  Koskela, A., Jälkö, J. & Honkela, A., 2020, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). JMLR, p. 2560-2568 9 p. (Proceedings of Machine Learning Research; vol. 108).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • Computing 100%
  • Approximation (Algorithm) 100%
  • Differential Privacy 100%
  • Algorithms 66%
  • Approximation 66%

• Deep Contextual Attention for Human-Object Interaction Detection

  Wang, T., Anwer, R. M., Khan, M. H., Khan, F. S., Pang, Y., Shao, L. & Laaksonen, J., Feb 2020, Proceedings of the International Conference on Computer Vision (ICCV2019). IEEE, p. 5693-5701 9 p. 9008846. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Models 100%
  • Detection 100%
  • Contexts 33%
  • Parsing 33%
  • Modeling Information Flow 33%
  105 Citations (Scopus)

  234 Downloads (Pure)

• Deep Convolutional Gaussian Processes

  Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • Image Classification 100%
  • Architecture 50%
  • Model 50%
  • Accuracy 50%
  • Data Set 50%
  27 Citations (Scopus)

• Differentially private cross-silo federated learning

  Heikkilä, M. A., Koskela, A., Shimizu, K., Kaski, S. & Honkela, A., 2020, (Submitted) In: Submitted.

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

• Enriched mixtures of generalised Gaussian process experts

  Gadd, C. W. L., Wade, S. & Boukouvalas, A., 2020, INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108. Chiappa, S. & Calandra, R. (eds.). Addison-Wesley, p. 3144-3153 10 p. (Proceedings of Machine Learning Research; vol. 108).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Models 100%
  • Gaussian Process 100%
  • Scalability 25%
  • Partitioning 25%
  • Joint Distribution 25%
  35 Downloads (Pure)

• Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data

  Vehtari, A., Gelman, A., Sivula, T., Jylänki, P., Tran, D., Sahai, S., Blomstedt, P., Cunningham, J. P., Schiminovich, D. & Robert, C. P., 2020, In: Journal of Machine Learning Research. 21, p. 1-53

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

  Open Access

  File

  • Partitioned Data 100%
  • Bayesian Inference 100%
  • Expectations 100%
  • Approximation (Algorithm) 75%
  • Approximation 75%
  36 Citations (Scopus)

  145 Downloads (Pure)

• FullMeSH: Improving large-scale MeSH indexing with full text

  Dai, S., You, R., Lu, Z., Huang, X., Mamitsuka, H. & Zhu, S., 1 Mar 2020, In: Bioinformatics. 36, 5, p. 1533-1541 9 p.

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

  Open Access

  • Indexing 100%
  • Subject Headings 100%
  • Subject Heading 100%
  • Availability 28%
  • Contribution 14%
  33 Citations (Scopus)

• Genomic rearrangements uncovered by genome-wide co-evolution analysis of a major nosocomial pathogen, Enterococcus faecium

  Top, J., Arredondo-Alonso, S., Schürch, A. C., Puranen, S., Pesonen, M., Pensar, J., Willems, R. J. L. & Corander, J., 1 Dec 2020, In: Microbial Genomics. 6, 12, p. 1-8 8 p., 000488.

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

  Open Access

  File

  • Evolution 100%
  • Infectious Agent 100%
  • Enterococcus faecium 100%
  • Cladistics 100%
  • Coevolution 100%
  11 Citations (Scopus)

  109 Downloads (Pure)

• High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study

  Pensar, J., Xu, Y., Puranen, S., Pesonen, M., Kabashima, Y. & Corander, J., 1 Jan 2020, In: Computational Statistics and Data Analysis. 141, p. 62-76 15 p.

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

  Open Access

  • Learning 100%
  • Attention 33%
  • Sample 33%
  • Accuracy 33%
  4 Citations (Scopus)

• HPOLabeler: improving prediction of human protein-phenotype associations by learning to rank

  Liu, L., Huang, X., Mamitsuka, H. & Zhu, S., 15 Jul 2020, In: Bioinformatics (Oxford, England). 36, 14, p. 4180-4188 9 p.

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

  Open Access

  File

  • Association 100%
  • Protein 100%
  • Phenotype 100%
  • Ontology 77%
  • Validation 33%
  20 Citations (Scopus)

  56 Downloads (Pure)

• Human Strategic Steering Improves Performance of Interactive Optimization

  Colella, F., Daee, P., Jokinen, J., Oulasvirta, A. & Kaski, S., 7 Jul 2020, UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization: UMAP 2020. New York, NY, United States: ACM, p. 293-297 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • User 100%
  • Optimization 100%
  • Functions 30%
  • Algorithms 20%
  • Mathematical Optimization 20%
  6 Citations (Scopus)

• Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagement

  Ruotsalo, T., Jacucci, G. & Kaski, S., 1 Jul 2020, In: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY. 71, 7, p. 742-756 15 p.

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

  Open Access

  • User 100%
  • Availability 33%
  • Information Retrieval 33%
  • Relevant Information 33%
  • Control Condition 33%
  17 Citations (Scopus)

• Learning Global Pairwise Interactions with Bayesian Neural Networks

  Cui, T., Marttinen, P. & Kaski, S., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press, p. 1087-1094 8 p. ( Frontiers in Artificial Intelligence and Applications; vol. 325).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Learning 100%
  • Bayesian 100%
  • Interaction Effect 100%
  • Information 25%
  • Surety 25%
  8 Citations (Scopus)

  59 Downloads (Pure)

• Learning spectrograms with convolutional spectral kernels

  Shen, Z., Heinonen, M. & Kaski, S., 2020, The 23rd International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). JMLR, p. 3826-3836 10 p. (Proceedings of Machine Learning Research; vol. 108).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Learning 100%
  • Kernel 100%
  • Model 80%
  • Gaussian Process 80%
  • Models 40%
  55 Downloads (Pure)

• Linking serial homicide – towards an ecologically valid application

  Pakkanen, T., Sirén, J., Zappalà, A., Jern, P., Bosco, D., Berti, A. & Santtila, P., 20 Jul 2020, In: Journal of Criminological Research, Policy and Practice. 7, 1, 16 p.

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

  Open Access

  • Utilization 100%
  • Homicide 100%
  • Application 100%
  • Crime 80%
  • Approach 40%
  4 Citations (Scopus)

• LS-SVR as a Bayesian RBF Network

  Mesquita, D. P. P., Freitas, L. A., Gomes, J. P. P. & Mattos, C. L. C., 1 Oct 2020, In: IEEE Transactions on Neural Networks and Learning Systems . 31, 10, p. 4389-4393 5 p., 8931012.

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

  Open Access

  • Networks 100%
  • Support Vector Regression 100%
  • Least Squares Methods 100%
  • Radial Basis Function 100%
  • Support 100%
  13 Citations (Scopus)

• Maternal Depressive Symptoms During the Pre- and Postnatal Periods and Infant Attention to Emotional Faces

  Kataja, E. L., Karlsson, L., Leppänen, J. M., Pelto, J., Häikiö, T., Nolvi, S., Pesonen, H., Parsons, C. E., Hyönä, J. & Karlsson, H., 1 Mar 2020, In: Child Development. 91, 2, p. E475-E490 16 p.

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

  • Attention 100%
  • Infant 100%
  • Biases 25%
  • Fear 25%
  • Pregnancy 25%
  23 Citations (Scopus)

• Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment

  Valentijn, T., Margutti, J., van den Homberg, M. & Laaksonen, J., 1 Sept 2020, In: Remote Sensing. 12, 17, p. 1-29 29 p., 2839.

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

  Open Access

  File

  • Network 100%
  • Building 100%
  • Model 100%
  • Natural Hazard 100%
  • Hazard 100%
  48 Citations (Scopus)

  107 Downloads (Pure)

• Multimodal Concept Detection and Annotation in Image and Video Collections

  Ishikawa, S., 2020, Aalto University. 227 p.

  Research output: Thesis › Doctoral Thesis › Collection of Articles

  Open Access

  • Detection 100%
  • Annotation 100%
  • Information Retrieval 100%
  • Video Collection 100%
  • Domains 75%

• Multiplicative chaos and the characteristic polynomial of the CUE: The L1-Phase

  Nikula, M., Saksman, E. & Webb, C., Jun 2020, In: Transactions of the American Mathematical Society. 373, 6, p. 3905-3965 61 p.

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

  Open Access

  • Multiplicative 100%
  • Measures 100%
  • Characteristic Polynomial 100%
  • Gaussian 50%
  • Matrix 50%
  24 Citations (Scopus)

• Plasmids shaped the recent emergence of the major nosocomial pathogen Enterococcus faecium

  Arredondo-Alonso, S., Top, J., McNally, A., Puranen, S., Pesonen, M., Pensar, J., Marttinen, P., Braat, J., Rogers, M., van Schaik, W., Kaski, S., Willems, R. J. L., Corander, J. & Schürch, A., 1 Jan 2020, In: MBIO. 11, 1, 17 p., e03284-19.

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

  Open Access

  File

  • Infectious Agent 100%
  • Enterococcus faecium 100%
  • Gene 14%
  • Electric Potential 14%
  • Animal 14%
  90 Citations (Scopus)

  122 Downloads (Pure)

• Private Protocols for U-Statistics in the Local Model and Beyond

  Bell, J., Bellet, A., Gascon, A. & Kulkarni, T., 2020, INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108. Chiappa, S. & Calandra, R. (eds.). Addison-Wesley, p. 1573-1582 10 p. (Proceedings of Machine Learning Research; vol. 108).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Models 100%
  • Statistics 100%
  • Data Distribution 75%
  • Differential Privacy 75%
  • Design 25%
  48 Downloads (Pure)

• Projective Preferential Bayesian Optimization

  Mikkola, P., Todorovic, M., Järvi, J., Rinke, P. & Kaski, S., 21 Nov 2020, 37th International Conference on Machine Learning, ICML 2020. International Machine Learning Society , p. 6840-6848 9 p. (Proceedings of Machine Learning Research).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Optimization 100%
  • User 66%
  • Functions 66%
  • Objective Function 33%
  • User Preference 33%
  6 Citations (Scopus)

  69 Downloads (Pure)

• Rethinking pooling in graph neural networks

  Mesquita, D., Souza, A. & Kaski, S., 2020, Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). Morgan Kaufmann Publishers, (Advances in neural information processing systems; vol. 33).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Representation 100%
  • Graph Neural Network 100%
  • Design 50%
  • Roles 50%
  • Benchmark 50%
  98 Downloads (Pure)

• Robust parallel hybrid artificial bee colony algorithms for the multi-dimensional numerical optimization

  Dokeroglu, T., Pehlivan, S. & Avenoglu, B., Sept 2020, In: JOURNAL OF SUPERCOMPUTING. 76, 9, p. 7026-7046 21 p.

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

  Open Access

  File

  • Optimization 100%
  • Artificial Bee Colony Algorithm 100%
  • Algorithms 66%
  • Teaching and Learning 66%
  • Hybrid Algorithm 66%
  12 Citations (Scopus)

  57 Downloads (Pure)

• Scalable Probabilistic Matrix Factorization with Graph-­Based Priors

  Strahl, J., Peltonen, J., Mamitsuka, H. & Kaski, S., 3 Apr 2020, Proceedings of AAAI-20, AAAI Conference on Artificial Intelligence. AAAI Press, p. 5851-5858 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 4).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  • Side Information 100%
  • Matrix Factorization 100%
  • Prediction Accuracy 66%
  • Identification 33%
  • Algorithms 33%

• Scaled coupled norms and coupled higher-order tensor completion

  Wimalawarne, K., Yamada, M. & Mamitsuka, H., 1 Feb 2020, In: Neural Computation. 32, 2, p. 447-484 38 p.

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

  Open Access

  File

  • Regularization 100%
  • Low-Rank 50%
  • Simulation 50%
  • Control 50%
  • Good Performance 50%
  1 Citation (Scopus)

  146 Downloads (Pure)

• Solving analogies on words based on minimal complexity transformation

  Murena, P. A., Al-Ghossein, M., Dessalles, J. L. & Cornuéjols, A., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). IJCAI, p. 1848-1854 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  Open Access

  File

  • Transformations 100%
  • Complexity 100%
  • Complexities 100%
  • Domains 20%
  • Algorithms 20%
  19 Citations (Scopus)

  224 Downloads (Pure)

• Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldolase (DERA) assessed by different protein engineering and machine learning methods

  Voutilainen, S., Heinonen, M., Andberg, M., Jokinen, E., Maaheimo, H., Pääkkönen, J., Hakulinen, N., Rouvinen, J., Lähdesmäki, H., Kaski, S., Rousu, J., Penttilä, M. & Koivula, A., Dec 2020, In: Applied Microbiology and Biotechnology. 104, 24, p. 10515-10529 15 p.

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

  Open Access

  File

  • Learning 100%
  • Protein Engineering 100%
  • Enzyme Specificity 100%
  • Aldolase 100%
  • Protein 100%
  21 Citations (Scopus)

  131 Downloads (Pure)

• Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

  Tahkola, M., Keranen, J., Sedov, D., Far, M. F. & Kortelainen, J., 2020, In: IEEE Access. 8, p. 220027-220045 19 p.

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

  Open Access

  File

  • Modeling 100%
  • Artificial Neural Network 100%
  • Simulation 100%
  • Electrical Machine 100%
  • Models 75%
  20 Citations (Scopus)

  115 Downloads (Pure)