Jonathan Rubin

发表

The Annual Computer Poker Competition

Martin Zinkevich, Jonathan Rubin, Nolan Bard, 2013, AI Mag..

On the Construction, Maintenance and Analysis of Case-Based Strategies in Computer Poker

Jonathan Rubin, 2013 .

Implicit Opponent Modelling via Dynamic Case-Base Selection

I. Watson, Jonathan Rubin, 2011 .

Memory and Analogy in Game-Playing Agents

I. Watson, Jonathan Rubin, 2009 .

Surviving Academic Research

I. Watson, Jonathan Rubin, 2006 .

A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series

A. Natarajan, Jonathan Rubin, G. Boverman, 2019, 2019 Computing in Cardiology (CinC).

Local orthogonal rectification: Deriving natural coordinates to study flows relative to manifolds

Jonathan Rubin, Benjamin Letson, 2020, Discrete & Continuous Dynamical Systems - B.

Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks pdf

Ashequl Qadir, Jonathan Rubin, Claire Zhao, 2018, ArXiv.

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images pdf

William Wells, Polina Golland, Ruizhi Liao, 2019, ArXiv.

Computer poker: A review

Ian D. Watson, Jonathan Rubin, I. Watson, 2011, Artif. Intell..

A Memory-Based Approach to Two-Player Texas Hold'em

Ian D. Watson, Jonathan Rubin, I. Watson, 2009, Australasian Conference on Artificial Intelligence.

Improving a case-based texas hold'em poker bot

Ian D. Watson, Jonathan Rubin, Stefan Wender, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

CASPER: A Case-Based Poker-Bot

Ian D. Watson, Jonathan Rubin, I. Watson, 2008, Australasian Conference on Artificial Intelligence.

Investigating the Effectiveness of Applying Case-Based Reasoning to the Game of Texas Hold'em

Ian D. Watson, Jonathan Rubin, I. Watson, 2007, FLAIRS.

Electrocardiogram Monitoring and Interpretation: From Traditional Machine Learning to Deep Learning, and Their Combination

Jonathan Rubin, Saman Parvaneh, Jonathan Rubin, 2018, 2018 Computing in Cardiology Conference (CinC).

Recognizing Abnormal Heart Sounds Using Deep Learning pdf

Kumar Sricharan, Rui Abreu, Saigopal Nelaturi, 2017, KHD@IJCAI.

Cardiac arrhythmia detection using deep learning: A review.

Jonathan Rubin, Saeed Babaeizadeh, Saman Parvaneh, 2019, Journal of electrocardiology.

Decision Generalisation from Game Logs in No Limit Texas Hold'em

Ian D. Watson, Jonathan Rubin, I. Watson, 2013, IJCAI.

Opponent Type Adaptation for Case-Based Strategies in Adversarial Games

Ian D. Watson, Jonathan Rubin, I. Watson, 2012, ICCBR.

Successful Performance via Decision Generalisation in No Limit Texas Hold'em

Ian D. Watson, Jonathan Rubin, I. Watson, 2011, ICCBR.

On Combining Decisions from Multiple Expert Imitators for Performance

Ian D. Watson, Jonathan Rubin, I. Watson, 2011, IJCAI.

Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss

Jonathan Rubin, Sayed Mazdak Abulnaga, S. M. Abulnaga, 2018, BrainLes@MICCAI.

Time, frequency & complexity analysis for recognizing panic states from physiologic time-series

Hoda Eldardiry, Rui Abreu, Jonathan Rubin, 2016, PervasiveHealth.

An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit

Jonathan Rubin, Junzi Dong, Hiep Nguyen, 2017, Int. J. Medical Informatics.

Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation

Jonathan Rubin, Saeed Babaeizadeh, Bryan R. Conroy, 2018, Physiological measurement.

Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings.

Jonathan Rubin, Saeed Babaeizadeh, Bryan R. Conroy, 2018, Journal of electrocardiology.

A wearable and mobile intervention delivery system for individuals with panic disorder

Daniel G. Bobrow, Luis Cruz, Rui Abreu, 2015, MUM.

Towards a mobile and wearable system for predicting panic attacks

Daniel G. Bobrow, Rui Abreu, Hoda Eldardiry, 2015, UbiComp.

Rigorous Mapping of Data to Qualitative Properties of Parameter Values and Dynamics: A Case Study on a Two-Variable Lotka–Volterra System

D. Swigon, Jonathan Rubin, Xiaoyu Duan, 2023, Bulletin of Mathematical Biology.

Classifying heart sound recordings using deep convolutional neural networks and mel-frequency cepstral coefficients

Kumar Sricharan, Rui Abreu, Saigopal Nelaturi, 2016, 2016 Computing in Cardiology Conference (CinC).

Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series pdf

Yale Chang, Jonathan Rubin, Asif Rahman, 2021, ArXiv.

Stability, bifurcations and edge oscillations in standing pulse solutions to an inhomogeneous reaction-diffusion system

J. Rubin, Jonathan Rubin, J. E. Rubin, 1999, Proceedings of the Royal Society of Edinburgh: Section A Mathematics.

Attention Distillation for Detection Transformers: Application to Real-Time Video Object Detection in Ultrasound

Raghavendra Srinivasa Naidu, R. Erkamp, Jonathan Rubin, 2021, ML4H@NeurIPS.

CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation

Jonathan Rubin, Sayed Mazdak Abulnaga, S. M. Abulnaga, 2019, 2019 IEEE International Conference on Healthcare Informatics (ICHI).

Natural extension of fast-slow decomposition for dynamical systems.

B Krauskopf, J E Rubin, H M Osinga, 2017, Physical review. E.

Multivariate Time-Series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

Abdullah Al-Dujaili, Jwala Dhamala, Jonathan Rubin, 2018, IEEE Sensors Letters.

Geometric Singular Perturbation Analysis of Neuronal Dynamics

J. Rubin, D. Terman, Jonathan Rubin, 2002 .

Qualitative inverse problems: mapping data to the features of trajectories and parameter values of an ODE model

D. Swigon, Jonathan Rubin, Xiaoyu Duan, 2023, Inverse Problems.

Case-based strategies in computer poker

Ian D. Watson, Jonathan Rubin, I. Watson, 2012, AI Commun..

Paying Our Dues: The Role of Professional Societies in the Evolution of Mathematical Biology Education

Timothy D. Comar, Jonathan Rubin, M. Greer, 2020, Bulletin of Mathematical Biology.