Computer Science - Artificial Intelligence and Machine Learning (AIML)

Research output

Research output per year 2019 2021 2022 2023 2024 2024

• 179 Conference article in proceedings
• 170 Article
• 26 Conference article
• 14 Paper
• 60 More
  • 12 Abstract
  • 9 Review Article
  • 8 Chapter
  • 6 Poster
  • 4 Meeting Abstract
  • 3 Editorial
  • 3 Master's thesis
  • 3 Working paper
  • 2 Book
  • 2 Preprint
  • 1 Anthology
  • 1 Commissioned report
  • 1 Comment/debate
  • 1 Letter
  • 1 Special issue
  • 1 Software
  • 1 Other contribution
  • 1 Licenciate's thesis

Research output per year

Research output per year

Search results

• 2024

  A comparative study of clinical trial and real-world data in patients with diabetic kidney disease

  Kurki, S., Halla-aho, V., Haussmann, M., Lähdesmäki, H., Leinonen, J. V. & Koskinen, M., 19 Jan 2024, In: Scientific Reports. 14, 1, 1731.

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

  Open Access

  File

  • Real-World Data 100%
  • Randomized Controlled Trial 100%
  • Data Set 33%
  • Cluster Analysis 22%
  • Control 11%
  3 Citations (Scopus)

  30 Downloads (Pure)

• A Framework for Improving the Reliability of Black-box Variational Inference

  Welandawe, M., Riis Andersen, M., Vehtari, A. & Huggins, J. H., 2024, In: Journal of Machine Learning Research. 25, p. 1−71

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

  Open Access

  File

  • Learning Rate 100%
  • Black Box 100%
  • Learning System 100%
  • Approximation (Algorithm) 66%
  • Leibler Divergence 66%
  9 Downloads (Pure)

• AS-Net : active speaker detection using deep audio-visual attention

  Radman, A. & Laaksonen, J., Aug 2024, In: Multimedia Tools and Applications. 83, 28, p. 72027-72042 16 p.

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

  Open Access

  File

  • Detection 100%
  • Active Network 100%
  • Audio-visual 100%
  • Speaker 100%
  • Attention 100%
  6 Downloads (Pure)

• Attention-based approach to predict drug–target interactions across seven target superfamilies

  Schulman, A., Rousu, J., Aittokallio, T. & Tanoli, Z., 1 Aug 2024, In: Bioinformatics. 40, 8, p. 1-14 14 p., btae496.

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

  Open Access

  File

  • Malignant Neoplasm 100%
  • Biological Activity 100%
  • Drug Action 100%
  • Disease 50%
  • Biological Phenomena and Functions Concerning the Entire Organism 50%
  2 Downloads (Pure)

• AV-PEA : Parameter-Efficient Adapter for Audio-Visual Multimodal Learning

  Radman, A. & Laaksonen, J., 2024, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP. SciTePress, p. 730-737 8 p. (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

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

  Open Access

  • Transfer Learning 100%
  • Learning Transfer 100%
  • Training 66%
  • Integration 40%
  • Learning Process 33%

• Bayesian cross-validation by parallel Markov chain Monte Carlo

  Cooper, A., Vehtari, A., Forbes, C., Simpson, D. & Kennedy, L., Aug 2024, In: STATISTICS AND COMPUTING. 34, 4, p. 1-15 15 p., 119.

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

  Open Access

  File

  • on-line algorithm 100%
  • Data Partitioning 100%
  • Workflow Modeling 100%
  21 Downloads (Pure)

• Bayesian reduced rank regression models generalizable neural fingerprints that differentiate between individuals in magnetoencephalography data

  Haakana, J., Merz, S., Kaski, S., Renvall, H. & Salmelin, R., May 2024, In: European Journal of Neuroscience. 59, 9, p. 2320-2335 16 p.

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

  Open Access

  File

  • Magnetoencephalography 100%
  • Fingerprints 100%
  • Reduced Rank Regression 100%
  • Functional Connectivity 40%
  • Humans 20%
  23 Downloads (Pure)

• Can docstring reformulation with an LLM improve code generation?

  Dainese, N., Ilin, A. & Marttinen, P., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. Falk, N., Papi, S. & Zhang, M. (eds.). Association for Computational Linguistics, p. 296-312 17 p.

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

  Open Access

  • Models 100%
  • Reformulation 100%
  • Code Generation 100%
  • Large Language Model 100%
  • Open Source 37%

• ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

  Verma, Y., Heinonen, M. & Garg, V., 2024, The Twelfth International Conference on Learning Representations. International Conference on Learning Representations (ICLR), p. 1-23 23 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

  Open Access

  • Computer Simulation 100%
  • Learning Approach 100%
  • Uncertainty Quantification 100%
  • Advection 100%
  • Black-Box Model 100%

• Collaborative learning from distributed data with differentially private synthetic data

  Prediger, L., Jälkö, J., Honkela, A. & Kaski, S., 14 Jun 2024, In: BMC Medical Informatics and Decision Making. 24, 1, p. 1-14 14 p., 167.

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

  Open Access

  File

  • Collaborative Learning 100%
  • Synthetic Data 100%
  • Distributed Data 100%
  • Privacy Preserving 33%
  • Privacy Concern 16%
  4 Downloads (Pure)

• Compositional Sculpting of Iterative Generative Processes

  Garipov, T., De Peuter, S., Yang, G., Garg, V., Kaski, S. & Jaakkola, T., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., p. 12665-12702 (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Generalization 100%
  • Binary Operation 50%
  • Multiple Component 50%

• Continuous Monte Carlo Graph Search

  Kujanpää, K., Kannala, J., Babadi, A., Ilin, A., Zhao, Y. & Pajarinen, J., 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. ACM, p. 1047-1056 10 p.

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

  Open Access

  File

  • Continuous Domain 100%
  • Branching Factor 100%
  • Planning Method 100%
  6 Downloads (Pure)

• Detecting and diagnosing prior and likelihood sensitivity with power-scaling

  Kallioinen, N., Paananen, T., Bürkner, P. C. & Vehtari, A., Feb 2024, In: STATISTICS AND COMPUTING. 34, 1, p. 1-27 27 p., 57.

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

  Open Access

  File

  • Models 100%
  • Workflows 100%
  • Complexities 100%
  • Process Model 100%
  • Linear Model 100%
  5 Citations (Scopus)

  49 Downloads (Pure)

• Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection

  Muhammad, U., Laaksonen, J., Romaissa Beddiar, D. & Oussalah, M., 25 Jun 2024, (E-pub ahead of print) In: INTERNATIONAL JOURNAL OF COMPUTER VISION.

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

  Open Access

  • Presentation Attack Detection 100%
  • Synthetic Data 100%
  • Sufficient Number 20%

• Efficient estimation and correction of selection-induced bias with order statistics

  McLatchie, Y. & Vehtari, A., 12 Jun 2024, In: STATISTICS AND COMPUTING. 34, 4, 132.

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

  Open Access

  File

  • Order Statistics 100%
  • Model Selection 100%
  • Ranking Method 100%
  • Cross-Validation 66%
  • Bootstrapping 33%
  30 Downloads (Pure)

• Embarrassingly Parallel GFlowNets

  da Silva, T., Carvalho, L. M., Souza, A., Kaski, S. & Mesquita, D., 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). JMLR, p. 45406-45431 (Proceedings of Machine Learning Research; vol. 235).

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

  Open Access

  • Random Variable 100%
  • Multiobjective 100%
  • Multi-Objective Optimization 100%
  • Multiple Task 100%
  • Target Distribution 100%

• Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring

  Rezaei Yousefi, Z., Vuong, T., Al-Ghossein, M., Ruotsalo, T., Jacucci, G. & Kaski, S., 22 Apr 2024, In: ACM Transactions on Interactive Intelligent Systems. 14, 2, 26 p., 9.

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

  Open Access

  File

  • Monitoring Activity 100%
  • And-States 50%
  • Detection Accuracy 50%
  • Contextual Information 50%
  • Recurrent Neural Network 50%
  26 Downloads (Pure)

• Estimating treatment effects from single-arm trials via latent-variable modeling

  Haussmann, M., Le, T. M. S., Halla-aho, V., Kurki, S., Leinonen, J., Koskinen, M., Kaski, S. & Lähdesmäki, H., 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics . JMLR, Vol. 238. p. 2926-2934 (Proceedings of Machine Learning Research; vol. 238).

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

  Open Access

  • Modeling 100%
  • Controlled Trial 100%
  • Treatment Effect 100%
  • Treatment Group 100%
  • Direct Treatment Effect 100%

• Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning

  Monti, R., Eick, L., Hudjashov, G., Läll, K., Kanoni, S., Wolford, B. N., Wingfield, B., Pain, O., Wharrie, S., Jermy, B., McMahon, A., Hartonen, T., Heyne, H., Mars, N., Lambert, S., Hveem, K., Inouye, M., van Heel, D. A., Mägi, R., Marttinen, P., & 4 othersRipatti, S., Ganna, A., Lippert, C. & Genes and Health Research Team, 11 Jul 2024, In: American Journal of Human Genetics. 111, 7, p. 1431-1447 17 p.

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

  • Genome-Wide Association Study 100%
  • Quantitative Trait 100%

• Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices

  Viset, F., Kullberg, A., Wesel, F. & Solin, A., Jul 2024, (E-pub ahead of print) In: Transactions on Machine Learning Research. 21 p.

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

  Open Access

  • Matrix 100%
  • Gaussian Process 100%
  • Precision Matrix 100%
  • Process Approach 25%
  • Basis Function 25%

• Fixing Overconfidence in Dynamic Neural Networks

  Meronen, L., Trapp, M., Pilzer, A., Yang, L. & Solin, A., 3 Jan 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. IEEE, p. 2668-2678 11 p.

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

  Open Access

  • Neural Network 100%
  • Deep Learning 66%
  • Decision-Making 33%

• From intangible to tangible : The role of big data and machine learning in walkability studies

  Yang, J., Fricker, P. & Jung, A., Apr 2024, In: Computers, Environment and Urban Systems. 109, p. 1-20 20 p., 102087.

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

  Open Access

  File

  • Roles 100%
  • Machine Learning 100%
  • Big Data 100%
  • Machines 100%
  • Learning System 100%
  2 Citations (Scopus)

  74 Downloads (Pure)

• FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING

  Scannell, A., Mereu, R., Chang, P., Tamir, E., Pajarinen, J. & Solin, A., 2024. 29 p.

  Research output: Contribution to conference › Poster › Scientific › peer-review

  Open Access

  • Sequential Learning 100%
  • Neural Network 100%
  • Large Data Set 50%
  • Deep Learning 50%
  • Scalability 50%

• Generalized test utilities for long-tail performance in extreme multi-label classification

  Schultheis, E., Wydmuch, M., Kotlowski, W., Babbar, R. & Dembczynski, K., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 35 p. (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Positive Instance 100%
  • Prediction Rule 100%

• Generative AI for graph-based drug design: Recent advances and the way forward

  Garg, V., Feb 2024, In: Current Opinion in Structural Biology. 84, p. 1-8 8 p., 102769.

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

  Open Access

  File

  • Generative Artificial Intelligence 100%
  • Drugs 100%
  • Artificial Intelligence 66%
  • Search Space 33%
  • Streamlines 33%
  40 Downloads (Pure)

• Going Beyond Persistent Homology Using Persistent Homology

  Immonen, J., Souza, A. & Garg, V., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 24 p. (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Neural Network 100%
  • Expressive Power 49%
  • Filter Function 49%
  • Sufficient Condition 49%

• Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

  Jiang, Y., Zhou, C., Garg, V. & Oulasvirta, A., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 18 p. 988

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

  Open Access

  File

  • Neural Network 100%
  • Subjective Rating 16%
  1 Citation (Scopus)

  37 Downloads (Pure)

• How to create and use a national cross-domain ontology and data infrastructure on the Semantic Web

  Hyvönen, E., 2024, (E-pub ahead of print) In: Semantic Web. p. 1-15

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

  Open Access

  • Semantic Web 100%
  • Domain Ontology 100%
  • Data Infrastructure 100%
  • Open Data 66%
  • Ontology 33%

• HSCNet++ : Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer

  Wang, S., Laskar, Z., Melekhov, I., Li, X., Zhao, Y., Tolias, G. & Kannala, J., Jul 2024, In: INTERNATIONAL JOURNAL OF COMPUTER VISION. 132, 7, p. 2530-2550 21 p.

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

  Open Access

  File

  • RGB Image 100%
  • Deep Neural Network 50%
  • Robotics 50%
  • Computer Vision 50%
  • Single Network 50%
  1 Citation (Scopus)

  13 Downloads (Pure)

• Hybrid Search for Efficient Planning with Completeness Guarantees

  Kujanpää, K., Pajarinen, J. & Ilin, A., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 14 p. (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Algorithms 100%
  • Search Algorithm 100%
  • Computer Technology 100%

• Input-gradient space particle inference for neural network ensembles

  Trinh, T., Heinonen, M., Acerbi, L. & Kaski, S., 2024, The Twelfth International Conference on Learning Representations. International Conference on Learning Representations (ICLR)

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

  Open Access

  File

  • Input 100%
  • Inference 100%
  • Order 60%
  • Ensemble Learning 50%
  • Transfer Learning 50%
  33 Downloads (Pure)

• Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol

  Haraldsen, I. H., Hatlestad-Hall, C., Marra, C., Renvall, H., Maestu, F., Acosta-Hernandez, J., Alfonsin, S., Andersson, V., Anand, A., Ayllon, V., Babic, A., Belhadi, A., Birck, C., Bruna, R., Caraglia, N., Carrarini, C., Christensen, E., Cicchetti, A., Daugbjerg, S., Di Bidino, R., & 49 othersDiaz-Ponce, A., Drews, A., Giuffre, G. M., Georges, J., Gil-Gregorio, P., Gove, D., Govers, T. M., Hallock, H., Hietanen, M., Holmen, L., Hotta, J., Kaski, S., Khadka, R., Kinnunen, A. S., Koivisto, A. M., Kulashekhar, S., Larsen, D., Liljeström, M., Lind, P. G., Marcos Dolado, A., Marshall, S., Merz, S., Miraglia, F., Montonen, J., Mäntynen, V., Oksengard, A. R., Olazaran, J., Paajanen, T., Pena, J. M., Pena, L., Peniche, D. L., Perez, A. S., Radwan, M., Ramirez-Torano, F., Rodriguez-Pedrero, A., Saarinen, T., Salas-Carrillo, M., Salmelin, R., Sousa, S., Suyuthi, A., Toft, M., Toharia, P., Tveitstol, T., Tveter, M., Upreti, R., Vermeulen, R. J., Vecchio, F., Yazidi, A. & Rossini, P. M., 5 Jan 2024, In: Frontiers in Neurorobotics. 17, p. 1-15 15 p., 1289406.

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

  Open Access

  File

  • Intelligence 100%
  • Dementia 100%
  • Clinical Study 100%
  • Risk Evaluation 100%
  • Brain 100%
  1 Citation (Scopus)

  47 Downloads (Pure)

• Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

  Gao, Y., Ji, S. & Marttinen, P., 25 May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). European Language Resources Association (ELRA), p. 9787–9798

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

  Open Access

  File

  • Attention (Machine Learning) 100%
  • Graph Neural Network 100%
  • Neural Network 100%
  • Language Modeling 50%
  • Social Media 50%
  25 Downloads (Pure)

• Learning conditional variational autoencoders with missing covariates

  Ramchandran, S., Tikhonov, G., Lönnroth, O., Tiikkainen, P. & Lähdesmäki, H., Mar 2024, In: Pattern Recognition. 147, 110113.

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

  Open Access

  File

  • Conditionals 100%
  • Covariate 100%
  • Latent Variable Model 100%
  • Conditioning 100%
  • Batching 50%
  1 Citation (Scopus)

  57 Downloads (Pure)

• Learning Robust Statistics for Simulation-based Inference under Model Misspecification

  Huang, D., Bharti, A., Holanda De Souza Junior, A., Acerbi, L. & Kaski, S., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 22 p. (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Robust Statistics 100%
  • Scientific Modelling 100%
  • Inference Method 100%
  • Model Misspecification 100%
  • Bayesian 50%

• Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States

  Iakovlev, V., Heinonen, M. & Lähdesmäki, H., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 24 p. (Advances in Neural Information Processing Systems; vol. 36).

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

  Open Access

  • Continuous Time 100%
  • Observed State 100%
  • State of the Art 100%
  • Coder 100%
  • Dynamic Process 20%

• Learning symmetry-aware atom mapping in chemical reactions through deep graph matching

  Astero, M. & Rousu, J., 22 Apr 2024, In: JOURNAL OF CHEMINFORMATICS. 16, 1, p. 1-14 14 p., 46.

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

  Open Access

  File

  • Graph Matching 100%
  • Atom 100%
  • Chemical Reaction 100%
  • Symmetry 100%
  • Paper 100%
  37 Downloads (Pure)

• Likelihood-free inference in state-space models with unknown dynamics

  Aushev, A., Tran, T., Pesonen, H., Howes, A. & Kaski, S., Feb 2024, In: STATISTICS AND COMPUTING. 34, 1, 27.

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

  Open Access

  File

  • Models 100%
  • State Space 100%
  • Inference 100%
  • Space Model 100%
  • Simulation 80%
  1 Citation (Scopus)

  41 Downloads (Pure)

• Meta-classifier free negative sampling for extreme multilabel classification

  Mohammadnia Qaraei, M. & Babbar, R., Feb 2024, In: Machine Learning. 113, 2, p. 675-697 23 p.

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

  Open Access

  File

  • Classification 100%
  • Sampling 100%
  • Classifier 100%
  • Training 66%
  • Models 57%
  1 Citation (Scopus)

  42 Downloads (Pure)

• Metis : a python-based user interface to collect expert feedback for generative chemistry models

  Menke, J., Nahal, Y., Bjerrum, E. J., Kabeshov, M., Kaski, S. & Engkvist, O., Dec 2024, In: JOURNAL OF CHEMINFORMATICS. 16, 1, p. 1-9 9 p., 100.

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

  Open Access

  File

  • Chemistry 100%
  • Graphical User Interface 100%
  • Closed Loop Systems 100%
  • Molecular Structure 100%
  • Structure 33%
  6 Downloads (Pure)

• Military history on the Semantic Web : Lessons learned from developing three in-use linked open data services and semantic portals for digital humanities

  Hyvönen, E., Jan 2024, Intelligent Computing for Cultural Heritage : Global Achievements and China’s Innovations. Routledge, p. 40-60 21 p.

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

  Open Access

  File

  • Semantic Web 100%
  • Open Data 100%
  • Data Services 100%
  • User Interfaces 33%
  • Faceted Search 33%

• Modeling public opinion over time and space : Trust in state institutions in Europe, 1989-2019

  Kołczyńska, M., Bürkner, P. C., Kennedy, L. & Vehtari, A., 16 Apr 2024, In: Survey Research Methods. 18, 1, p. 1-19 19 p.

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

  Open Access

  File

  • Nonprofit Organizations 100%
  • Organizations 100%
  • Mathematical Model 100%
  • Public Opinion 100%
  • Europe 100%
  26 Downloads (Pure)

• MuSHRoom : Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis

  Ren, X., Wang, W., Cai, D., Tuominen, T., Kannala, J. & Rahtu, E., 3 Jan 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. IEEE, p. 4496-4505 10 p. (IEEE Winter Conference on Applications of Computer Vision).

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

  Open Access

  • 3d Reconstruction 100%
  • multi sensor 100%
  • Robot 33%
  • Unified Framework 33%
  • Human Perception 33%

• New methods for drug synergy prediction : A mini-review

  Abbasi, F. & Rousu, J., Jun 2024, In: Current Opinion in Structural Biology. 86, p. 1-9 9 p., 102827.

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

  Open Access

  File

  • Drug Potentiation 100%
  • Combination Drug 50%
  • Fields 25%
  • Throughput 25%
  • Input Data 25%
  41 Downloads (Pure)

• On Optimizing Resources for Real-time End-to-End Machine Learning in Heterogeneous Edges

  Nguyen, T. & Truong, L., 29 Jan 2024, (Submitted) (Software: Practice and Experience).

  Research output: Working paper › Preprint › Scientific

  • Machine Learning 100%
  • Resource Demand 16%
  • Hardware Platform 16%
  • Sufficient Resource 16%
  • Microservice 16%
  84 Downloads (Pure)

• Open Ad Hoc Teamwork with Cooperative Game Theory

  Wang, J., Li, Y., Zhang, Y., Pan, W. & Kaski, S., 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). JMLR, p. 50902-50930 (Proceedings of Machine Learning Research; vol. 235).

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

  Open Access

  • cooperative game theory 100%
  • Ad Hoc Teamwork 100%

• Optimizing postprandial glucose prediction through integration of diet and exercise : Leveraging transfer learning with imbalanced patient data

  Hotta, S., Kytö, M., Koivusalo, S., Heinonen, S. & Marttinen, P., Aug 2024, In: PloS one. 19, 8 August, p. 1-20 20 p., e0298506.

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

  Open Access

  File

  • Transfer of Learning 100%
  • Patient Coding 100%
  • Glucose Level 75%
  • Pregnancy Diabetes Mellitus 50%
  • Uncontrolled Setting 33%
  4 Downloads (Pure)

• Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

  Elahi, M. & Rintanen, J., 25 Mar 2024, Proceedings of the AAAI Conference on Artificial Intelligence: Vol. 38 No. 18: AAAI-24 Technical Tracks 18 . 18 ed. AAAI Press, Vol. 38. p. 20096-20103 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

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

  Open Access

  • Dependency Graph 100%
  • Preprocessing Phase 100%

• Osteological profiling of femoral diaphysis and neck in aquatic, semiaquatic, and terrestrial carnivores and rodents : effects of body size and locomotor habits

  Nieminen, P., Finnilä, M. A. J., Hämäläinen, W., Lehtiniemi, S., Jämsä, T., Tuukkanen, J., Kunnasranta, M., Henttonen, H. & Mustonen, A. M., Aug 2024, In: Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology. 194, 4, p. 473-492 20 p.

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

  Open Access

  File

  • Bone Density 100%
  • Neck 100%
  • Body Size 100%
  • Diaphysis 100%
  • Bone Resorption 33%
  5 Downloads (Pure)

• Pareto Smoothed Importance Sampling

  Vehtari, A., Simpson, D., Gelman, A., Yao, Y. & Gabry, J., 2024, In: Journal of Machine Learning Research. 25, 58 p., 72.

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

  Open Access

  File

  • Estimator 100%
  • Convergence Rate 100%
  • Error Estimate 100%
  • Estimation Theory 100%
  • Sample Size 100%
  34 Downloads (Pure)