Jonathan Rubin

51 papers A* 2B 1C 3Misc 4Journal 19Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them? CoRR J. Ben Tamo, Daniel Carlander-Reuterfelt, Jonathan Rubin, Dezhi Hong, Mingxian Wang, Oleg Poliannikov
2025	J	`jnl`	Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio. CoRR Jonathan Rubin, Sahil Loomba, Nick S. Jones
2023	—	`conf`	Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos. ISBI Li Chen, Jonathan Rubin, Jiahong Ouyang, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia Gregory, Meihua Zhu, David O. Kessler, Laurie Malia, Almaz Dessie, Joni Rabiner, Di Coneybeare, Bo Shopsin, Andrew Hersh, Cristian Madar, Jeffrey Shupp, Laura S. Johnson, Jacob Avila, Kristin Dwyer, Peter Weimersheimer, Balasundar Raju, Jochen Kruecker, Alvin Chen
2023	—	`conf`	Entity Contrastive Learning in a Large-Scale Virtual Assistant System. ACL (industry) Jonathan Rubin, Jason Crowley, George Leung, Morteza Ziyadi, Maria Minakova
2021	—	`conf`	Attention Distillation for Detection Transformers: Application to Real-Time Video Object Detection in Ultrasound. ML4H@NeurIPS Jonathan Rubin, Ramon Erkamp, Ragha Srinivasa Naidu, Anumod Odungatta Thodiyil, Alvin Chen
2021	—	`conf`	Convolution-Free Waveform Transformers for Multi-Lead ECG Classification. CinC Annamalai Natarajan, Gregory Boverman, Yale Chang, Corneliu Antonescu, Jonathan Rubin
2021	J	`jnl`	Convolution-Free Waveform Transformers for Multi-Lead ECG Classification. CoRR Annamalai Natarajan, Gregory Boverman, Yale Chang, Corneliu Antonescu, Jonathan Rubin
2021	J	`jnl`	Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. CoRR Asif Rahman, Yale Chang, Jonathan Rubin
2020	—	`conf`	A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification. CinC Annamalai Natarajan, Yale Chang, Sara Mariani, Asif Rahman, Gregory Boverman, Shruti Vij, Jonathan Rubin
2020	—	`conf`	Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks. KDH@ECAI Yumin Liu, Claire Zhao, Jonathan Rubin
2019	—	`conf`	A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series. CinC Yale Chang, Jonathan Rubin, Gregory Boverman, Shruti Vij, Asif Rahman, Annamalai Natarajan, Saman Parvaneh
2019	—	`conf`	CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation. ICHI Jonathan Rubin, Sayed Mazdak Abulnaga
2019	J	`jnl`	CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation. CoRR Jonathan Rubin, Sayed Mazdak Abulnaga
2019	J	`jnl`	Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland
2018	J	`jnl`	An ensemble boosting model for predicting transfer to the pediatric intensive care unit. Int. J. Medical Informatics Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
2018	—	`conf`	Automatic Detection of Arousals During Sleep Using Multiple Physiological Signals. CinC Saman Parvaneh, Jonathan Rubin, Ali Samadani, Gajendra Katuwal
2018	J	`jnl`	Automatic Detection of Arousals during Sleep using Multiple Physiological Signals. CoRR Saman Parvaneh, Jonathan Rubin, Ali Samadani, Gajendra Katuwal
2018	—	`conf`	Electrocardiogram Monitoring and Interpretation: From Traditional Machine Learning to Deep Learning, and Their Combination. CinC Saman Parvaneh, Jonathan Rubin
2018	—	`conf`	Ischemic Stroke Lesion Segmentation in CT Perfusion Scans Using Pyramid Pooling and Focal Loss. BrainLes@MICCAI (1) Sayed Mazdak Abulnaga, Jonathan Rubin
2018	J	`jnl`	Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss. CoRR Sayed Mazdak Abulnaga, Jonathan Rubin
2018	J	`jnl`	Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks. CoRR Jonathan Rubin, Deepan Sanghavi, Claire Zhao, Kathy Lee, Ashequl Qadir, Minnan Xu-Wilson
2018	J	`jnl`	Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly
2018	—	`ed.`	Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018. KDH@IJCAI Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu
2017	J	`jnl`	An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit. CoRR Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
2017	—	`conf`	Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. CinC Saman Parvaneh, Jonathan Rubin, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
2017	J	`jnl`	Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. CoRR Jonathan Rubin, Saman Parvaneh, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
2017	—	`conf`	Recognizing Abnormal Heart Sounds Using Deep Learning. KDH@IJCAI Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan
2017	J	`jnl`	Recognizing Abnormal Heart Sounds Using Deep Learning. CoRR Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan
2016	—	`conf`	Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients. CinC Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan
2016	J	`jnl`	The Representation of Prediction Error in Auditory Cortex. PLoS Comput. Biol. Jonathan Rubin, Nachum Ulanovsky, Israel Nelken, Naftali Tishby
2016	—	`conf`	Time, frequency & complexity analysis for recognizing panic states from physiologic time-series. PervasiveHealth Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow
2015	B	`conf`	A wearable and mobile intervention delivery system for individuals with panic disorder. MUM Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow
2015	Misc	`conf`	Towards a mobile and wearable system for predicting panic attacks. UbiComp Jonathan Rubin, Hoda Eldardiry, Rui Abreu, Shane Ahern, Honglu Du, Ashish Pattekar, Daniel G. Bobrow
2014	—	`ch.`	Basal Ganglia: Overview. Encyclopedia of Computational Neuroscience Jonathan Rubin
2014	—	`ch.`	Comparative Analysis of Half-Center Central Pattern Generators (CPGs). Encyclopedia of Computational Neuroscience Jonathan Rubin
2014	—	`ch.`	Computational Models of Deep Brain Stimulation (DBS). Encyclopedia of Computational Neuroscience Jonathan Rubin, Cameron C. McIntyre
2013	A*	`conf`	Decision Generalisation from Game Logs in No Limit Texas Hold'em. IJCAI Jonathan Rubin, Ian D. Watson
2013	Misc	`conf`	Learning from Demonstration to Be a Good Team Member in a Role Playing Game. FLAIRS Michael Silva, Silas McCroskey, Jonathan Rubin, Michael Youngblood, Ashwin Ram
2013	J	`jnl`	The Annual Computer Poker Competition. AI Mag. Nolan Bard, John Alexander Hawkin, Jonathan Rubin, Martin Zinkevich
2012	J	`jnl`	Case-based strategies in computer poker. AI Commun. Jonathan Rubin, Ian D. Watson
2012	C	`conf`	Opponent Type Adaptation for Case-Based Strategies in Adversarial Games. ICCBR Jonathan Rubin, Ian D. Watson
2012	Misc	`conf`	SARTRE: a case-based poker web app. IE Ian D. Watson, Jonathan Rubin, Glen Robertson
2011	J	`jnl`	Computer poker: A review. Artif. Intell. Jonathan Rubin, Ian D. Watson
2011	A*	`conf`	On Combining Decisions from Multiple Expert Imitators for Performance. IJCAI Jonathan Rubin, Ian D. Watson
2011	C	`conf`	Successful Performance via Decision Generalisation in No Limit Texas Hold'em. ICCBR Jonathan Rubin, Ian D. Watson
2010	C	`conf`	Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold'em. ICCBR Jonathan Rubin, Ian D. Watson
2009	—	`conf`	A Memory-Based Approach to Two-Player Texas Hold'em. Australasian Conference on Artificial Intelligence Jonathan Rubin, Ian D. Watson
2009	J	`jnl`	Playing Texas Hold'em Poker Online Using Case-Based Reasoning. Int. J. Intell. Games Simul. Ian D. Watson, Jonathan Rubin
2008	—	`conf`	CASPER: A Case-Based Poker-Bot. Australasian Conference on Artificial Intelligence Ian D. Watson, Jonathan Rubin
2008	—	`conf`	Improving a case-based texas hold'em poker bot. CIG Ian D. Watson, Song Lee, Jonathan Rubin, Stefan Wender
2007	Misc	`conf`	Investigating the Effectiveness of Applying Case-Based Reasoning to the Game of Texas Hold'em. FLAIRS Jonathan Rubin, Ian D. Watson