Jonathan Rubin
Orcid: 0000-0002-1513-1551
According to our database1,
Jonathan Rubin
authored at least 44 papers
between 2007 and 2023.
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Bibliography
2023
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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
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
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
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
SIAM J. Discret. Math., 2017
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
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
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
2012
Proceedings of the 8th Australasian Conference on Interactive Entertainment, 2012
Proceedings of the Case-Based Reasoning Research and Development, 2012
2011
Proceedings of the IJCAI 2011, 2011
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
Int. J. Intell. Games Simul., 2009
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008
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