Jonathan Rubin

According to our database1, Jonathan Rubin authored at least 44 papers between 2007 and 2023.

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Bibliography

2023
Threshold Selection for Brain Connectomes.
Brain Connect., September, 2023


Entity Contrastive Learning in a Large-Scale Virtual Assistant System.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2021
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series.
CoRR, 2021

Attention Distillation for Detection Transformers: Application to Real-Time Video Object Detection in Ultrasound.
Proceedings of the Machine Learning for Health, 2021

Convolution-Free Waveform Transformers for Multi-Lead ECG Classification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification.
Proceedings of the Computing in Cardiology, 2020

2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images.
CoRR, 2019

CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series.
Proceedings of the 46th Computing in Cardiology, 2019

2018
An ensemble boosting model for predicting transfer to the pediatric intensive care unit.
Int. J. Medical Informatics, 2018

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection.
CoRR, 2018

Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks.
CoRR, 2018

Ischemic Stroke Lesion Segmentation in CT Perfusion Scans Using Pyramid Pooling and Focal Loss.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Automatic Detection of Arousals During Sleep Using Multiple Physiological Signals.
Proceedings of the Computing in Cardiology, 2018

Electrocardiogram Monitoring and Interpretation: From Traditional Machine Learning to Deep Learning, and Their Combination.
Proceedings of the Computing in Cardiology, 2018

2017
Sufficient Conditions for Graphicality of Bidegree Sequences.
SIAM J. Discret. Math., 2017

Recognizing Abnormal Heart Sounds Using Deep Learning.
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings.
Proceedings of the Computing in Cardiology, 2017

2016
The Representation of Prediction Error in Auditory Cortex.
PLoS Comput. Biol., 2016

Time, frequency & complexity analysis for recognizing panic states from physiologic time-series.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Degree switching and partitioning for enumerating graphs to arbitrary orders of accuracy.
CoRR, 2015

A wearable and mobile intervention delivery system for individuals with panic disorder.
Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, Linz, Austria, November 30, 2015

Towards a mobile and wearable system for predicting panic attacks.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Computational Models of Deep Brain Stimulation (DBS).
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Comparative Analysis of Half-Center Central Pattern Generators (CPGs).
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Basal Ganglia: Overview.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013
The Annual Computer Poker Competition.
AI Mag., 2013

Decision Generalisation from Game Logs in No Limit Texas Hold'em.
Proceedings of the IJCAI 2013, 2013

Learning from Demonstration to Be a Good Team Member in a Role Playing Game.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012
Case-based strategies in computer poker.
AI Commun., 2012

SARTRE: a case-based poker web app.
Proceedings of the 8th Australasian Conference on Interactive Entertainment, 2012

Opponent Type Adaptation for Case-Based Strategies in Adversarial Games.
Proceedings of the Case-Based Reasoning Research and Development, 2012

2011
Computer poker: A review.
Artif. Intell., 2011

On Combining Decisions from Multiple Expert Imitators for Performance.
Proceedings of the IJCAI 2011, 2011

Successful Performance via Decision Generalisation in No Limit Texas Hold'em.
Proceedings of the Case-Based Reasoning Research and Development, 2011

2010
Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold'em.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

2009
Playing Texas Hold'em Poker Online Using Case-Based Reasoning.
Int. J. Intell. Games Simul., 2009

A Memory-Based Approach to Two-Player Texas Hold'em.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Improving a case-based texas hold'em poker bot.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

CASPER: A Case-Based Poker-Bot.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
Investigating the Effectiveness of Applying Case-Based Reasoning to the Game of Texas Hold'em.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007


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