Pekka Marttinen
Orcid: 0000-0001-7078-7927
According to our database1,
Pekka Marttinen
authored at least 74 papers
between 2004 and 2024.
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Bibliography
2024
CoRR, 2024
VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
Deformation equivariant cross-modality image synthesis with paired non-aligned training data.
Medical Image Anal., December, 2023
Bayesian modeling of the impact of antibiotic resistance on the efficiency of MRSA decolonization.
PLoS Comput. Biol., October, 2023
Neural Networks, September, 2023
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Bioinform., September, 2023
ACM Trans. Comput. Heal., April, 2023
ACM Trans. Intell. Syst. Technol., February, 2023
Supporting Management of Gestational Diabetes with Comprehensive Self-Tracking: Mixed-Method Study of Wearable Sensors.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions.
CoRR, 2023
A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease.
CoRR, 2023
ASymReg: Robust symmetric image registration using anti-symmetric formulation and deformation inversion layers.
CoRR, 2023
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection.
CoRR, 2023
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Machine Learning for Health, 2023
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics.
Proceedings of the Machine Learning for Health, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
COVIDNet: An Automatic Architecture for COVID-19 Detection With Deep Learning From Chest X-Ray Images.
IEEE Internet Things J., 2022
Inf. Fusion, 2022
Joint Non-parametric Point Process model for Treatments and Outcomes: Counterfactual Time-series Prediction Under Policy Interventions.
CoRR, 2022
Deformation equivariant cross-modality image synthesis with paired non-aligned training data.
CoRR, 2022
Look beyond labels: Incorporating functional summary information in Bayesian neural networks.
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records.
CoRR, 2021
A Critical Look At The Identifiability of Causal Effects with Deep Latent Variable Models.
CoRR, 2021
Comput. Biol. Medicine, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation.
PLoS Comput. Biol., 2019
Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation.
CoRR, 2019
CoRR, 2019
Modelling G×E with historical weather information improves genomic prediction in new environments.
Bioinform., 2019
Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention.
Proceedings of the Machine Learning for Health Workshop, 2019
2018
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform., 2018
Bioinform., 2018
2017
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR, 2017
biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements.
Bioinform., 2017
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
2016
metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.
Bioinform., 2016
2014
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.
Bioinform., 2014
2013
Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.
CoRR, 2013
2010
Efficient Bayesian approach for multilocus association mapping including gene-gene interactions.
BMC Bioinform., 2010
2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Mach. Learn., 2009
Robust extraction of functional signals from gene set analysis using a generalized threshold free scoring function.
BMC Bioinform., 2009
BMC Bioinform., 2009
2008
BMC Bioinform., 2008
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.
BMC Bioinform., 2008
2006
Bayesian search of functionally divergent protein subgroups and their function specific residues.
Bioinform., 2006
2004
Bioinform., 2004