Pekka Marttinen

Orcid: 0000-0001-7078-7927

According to our database1, Pekka Marttinen authored at least 84 papers between 2004 and 2024.

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Bibliography

2024
A Unified Review of Deep Learning for Automated Medical Coding.
ACM Comput. Surv., December, 2024

Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models.
IEEE Trans. Artif. Intell., August, 2024

Query-Guided Self-Supervised Summarization of Nursing Notes.
CoRR, 2024

Identifying latent state transition in non-linear dynamical systems.
CoRR, 2024

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities.
CoRR, 2024

Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics.
CoRR, 2024

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search.
CoRR, 2024

Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Medical Multi-modal Contrastive Learning with Expert Annotations.
Proceedings of the Computer Vision - ECCV 2024, 2024

Can docstring reformulation with an LLM improve code generation?
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery.
Proceedings of the 62nd Annual Meeting 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

Unsupervised feature selection based on variance-covariance subspace distance.
Neural Networks, September, 2023

HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Bioinform., September, 2023

Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality.
ACM Trans. Comput. Heal., April, 2023

Multitask Balanced and Recalibrated Network for Medical Code Prediction.
ACM Trans. Intell. Syst. Technol., February, 2023

EEG Based Emotion Recognition: A Tutorial and Review.
ACM Comput. Surv., 2023

Supporting Management of Gestational Diabetes with Comprehensive Self-Tracking: Mixed-Method Study of Wearable Sensors.
CoRR, 2023

Content Reduction, Surprisal and Information Density Estimation for Long Documents.
CoRR, 2023

Identifiable causal inference with noisy treatment and no side information.
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

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

Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series.
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

Causal Modeling of Policy Interventions From Treatment-Outcome Sequences.
Proceedings of the International Conference on Machine Learning, 2023

Reader: Model-based language-instructed reinforcement learning.
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
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications.
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

Deep learning for depression recognition with audiovisual cues: A review.
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

A Unified Review of Deep Learning for Automated Medical Coding.
CoRR, 2022

Contextualized Graph Embeddings for Adverse Drug Event Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Deconfounded Representation Similarity for Comparison of Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories.
IEEE J. Biomed. Health Informatics, 2021

Multi-task Balanced and Recalibrated Network for Medical Code Prediction.
CoRR, 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

Does the magic of BERT apply to medical code assignment? A quantitative study.
Comput. Biol. Medicine, 2021

Multitask Recalibrated Aggregation Network for Medical Code Prediction.
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

Medical Code Assignment with Gated Convolution and Note-Code Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks.
CoRR, 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

Learning Global Pairwise Interactions with Bayesian Neural Networks.
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

Parallel Gaussian process surrogate method to accelerate likelihood-free inference.
CoRR, 2019

Recovering Pairwise Interactions Using Neural Networks.
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
ELFI: Engine for Likelihood-Free Inference.
J. Mach. Learn. Res., 2018

A Bayesian model of acquisition and clearance of bacterial colonization.
CoRR, 2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform., 2018

Bacmeta: simulator for genomic evolution in bacterial metapopulations.
Bioinform., 2018

2017
Speciation trajectories in recombining bacterial species.
PLoS Comput. Biol., 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
Multiple Output Regression with Latent Noise.
J. Mach. Learn. Res., 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
Bayesian Clustering of Fuzzy Feature Vectors Using a Quasi-Likelihood Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Bayesian learning of graphical vector autoregressions with unequal lag-lengths.
Mach. Learn., 2009

Robust extraction of functional signals from gene set analysis using a generalized threshold free scoring function.
BMC Bioinform., 2009

Bayesian clustering and feature selection for cancer tissue samples.
BMC Bioinform., 2009

2008
Bayesian modeling of recombination events in bacterial populations.
BMC Bioinform., 2008

Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.
BMC Bioinform., 2008

2006
Bayesian Model Learning Based on Predictive Entropy.
J. Log. Lang. Inf., 2006

Bayesian search of functionally divergent protein subgroups and their function specific residues.
Bioinform., 2006

2004
BAPS 2: enhanced possibilities for the analysis of genetic population structure.
Bioinform., 2004


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