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Predicting healthcare trajectories from medical records: A deep learning approach

Journal of biomedical informatics, 2017-05, Vol.69, p.218-229

2017

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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Advances in Knowledge Discovery and Data Mining, 2016, p.30-41

2016

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A Deep Learning Model for Estimating Story Points

IEEE transactions on software engineering, 2019-07, Vol.45 (7), p.637-656

2019

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Hierarchical Conditional Relation Networks for Video Question Answering

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.9969-9978

2020

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Automatic Feature Learning for Predicting Vulnerable Software Components

IEEE transactions on software engineering, 2021-01, Vol.47 (1), p.67-85

2021

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Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Journal of biomedical informatics, 2015-04, Vol.54, p.96-105

2015

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Clustering by Maximizing Mutual Information Across Views

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.9908-9918

2021

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Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

International journal of computer vision, 2021-11, Vol.129 (11), p.3027-3050

2021

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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Journal of medical Internet research, 2016-12, Vol.18 (12), p.e323

2016

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Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.11988-11996

2019

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GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2022-03, Vol.19 (2), p.718-728

2022

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Explainable software analytics

2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER), 2018, p.53-56

2018

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Predicting Delivery Capability in Iterative Software Development

IEEE transactions on software engineering, 2018-06, Vol.44 (6), p.551-573

2018

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Preference Relation-based Markov Random Fields for Recommender Systems

Machine learning, 2017-04, Vol.106 (4), p.523-546

2017

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Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome

BMC genomics, 2020-07, Vol.21 (Suppl 4), p.256-256, Article 256

2020

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Correction: Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

BMC medical informatics and decision making, 2024-10, Vol.24 (1), p.308-1, Article 308

2024

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Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

BMC medical informatics and decision making, 2024-09, Vol.24 (1), p.274-13, Article 274

2024

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Attentional multilabel learning over graphs: a message passing approach

Machine learning, 2019-10, Vol.108 (10), p.1757-1781

2019

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Collaborative filtering via sparse Markov random fields

Information sciences, 2016-11, Vol.369, p.221-237

2016

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Energy-based anomaly detection for mixed data

Knowledge and information systems, 2018-11, Vol.57 (2), p.413-435

2018

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Predicting the delay of issues with due dates in software projects

Empirical software engineering : an international journal, 2017-06, Vol.22 (3), p.1223-1263

2017

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Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

BMC psychiatry, 2014-03, Vol.14 (1), p.76-76, Article 76

2014

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Learning Asynchronous and Sparse Human-Object Interaction in Videos

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.16036-16045

2021

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Knowledge Graph Embedding with Multiple Relation Projections

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.332-337

2018

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Automatically recommending components for issue reports using deep learning

Empirical software engineering : an international journal, 2021-03, Vol.26 (2), Article 14

2021

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Predicting healthcare trajectories from medical records: A deep learning approach

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

A Deep Learning Model for Estimating Story Points

Hierarchical Conditional Relation Networks for Video Question Answering

Automatic Feature Learning for Predicting Vulnerable Software Components

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Clustering by Maximizing Mutual Information Across Views

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

Explainable software analytics

Predicting Delivery Capability in Iterative Software Development

Preference Relation-based Markov Random Fields for Recommender Systems

Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome

Correction: Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

Attentional multilabel learning over graphs: a message passing approach

Collaborative filtering via sparse Markov random fields

Energy-based anomaly detection for mixed data

Predicting the delay of issues with due dates in software projects

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

Learning Asynchronous and Sparse Human-Object Interaction in Videos

Knowledge Graph Embedding with Multiple Relation Projections

Automatically recommending components for issue reports using deep learning

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