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Pekka Marttinen

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Multitask Recalibrated Aggregation Network for Medical Code Prediction

Apr 02, 2021
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

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A Critical Look At The Identifiability of Causal Effects with Deep Latent Variable Models

Mar 16, 2021
Severi Rissanen, Pekka Marttinen

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Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study

Mar 11, 2021
Shaoxiong Ji, Matti Hölttä, Pekka Marttinen

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Medical Code Assignment with Gated Convolution and Note-Code Interaction

Oct 14, 2020
Shaoxiong Ji, Shirui Pan, Pekka Marttinen

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Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text

Sep 30, 2020
Shaoxiong Ji, Erik Cambria, Pekka Marttinen

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Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks

Feb 24, 2020
Tianyu Cui, Aki Havulinna, Pekka Marttinen, Samuel Kaski

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A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Feb 02, 2020
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu

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

Oct 14, 2019
Marko Järvenpää, Aki Vehtari, Pekka Marttinen

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Errors-in-variables Modeling of Personalized Treatment-Response Trajectories

Jun 10, 2019
Guangyi Zhang, Reza Ashrafi, Anne Juuti, Kirsi Pietiläinen, Pekka Marttinen

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