Kira Radinsky

Workshops and Tutorials Organization

SIGIR'13 Workshop on Time-aware Information Access (TAIA'13)
Co-Organizer with F. Diaz, S. Dumais, M. Efron, M. de Rijke, and M. Shokouhi.
The 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '13), Portland, US.

WSDM'13 Tutorial on Temporal Web Dynamics and its Application to Information Retrieval
Co-Organizer with F. Diaz, S. Dumais, M. Shokouhi, A. Dong and Y. Chang.
The 6th ACM International Conference on Web Search and Data Mining (WSDM '13), Rome, Italy.

SIGIR'12 Workshop on Time-aware Information Access (TAIA'12)
Co-Organizer with F. Diaz, S. Dumais, M. de Rijke, and M. Shokouhi.
The 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '12), Portland, US.

Journal Publications

Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram (PDF)
Tomer Golany, Kira Radinsky, Natalia Kofman, Ilya Litovchik, Revital Young, Antoinette Monayer, Itamar Love, Faina Tziporin, Ido Minha, Yakir Yehuda, Tomer Ziv-Baran, Shmuel Fuchs, and Saar Minha
Journal of Clinical Medicine (JCM), November 2022.

Gender-sensitive word embeddings for healthcare (PDF)
Shunit Agmon, Plia Gillis, Eric Horvitz, and Kira Radinsky
Journal of the American Medical Informatics Association (JAMIA), December 2021.

Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients (PDF)
Maor Lewis, Guy Elad, Moran Beladev, Gal Maor, Kira Radinsky, Dor Hermann, Yoav Litani, Tal Geller, Jesse Pines, Nathan Shapiro, and Jose F. Figueroa
Nature Scientific Reports, January 2021.

On Biases Of Attention In Scientific Discovery (PDF)
Uriel Singer, Kira Radinsky, and Eric Horvitz
Bioinformatics, November 2020.

Machine learning algorithm for early detection of end-stage renal disease (PDF)
Zvi Segal, Dan Kalifa, Kira Radinsky, Bar Ehrenberg, Guy Elad, Gal Maor, Maor Lewis, Muhammad Tibi, Liat Korn, and Gideon Koren
BMC Nephrology Volume 21, October 2020.

Development of a machine learning algorithm for early detection of opioid use disorder (PDF)
Zvi Segal, Kira Radinsky, Guy Elad, Gal Marom, Moran Beladev, Maor Lewis, Bar Ehrenberg, Plia Gillis, Liat Korn, and Gideon Koren
Pharmacology Research and Perspectives (PRP), December 2020.

Identification of Repurposable Drugs with Beneficial Effects on Glucose Control in Type 2 Diabetes Using Machine Learning (PDF)
Gideon Koren, Galia Nordon, Kira Radinsky, and Varda Shalev
Pharmacology Research and Perspectives (PRP), November 2019.

Chronic Use of Beta-Blockers and the Risk of Parkinson's Disease (PDF)
Gideon Koren, Galia Nordon, Kira Radinsky, and Varda Shalev
Clinical Drug Investigations, March 2019.

Prototype-Based Compound Discovery using Deep Generative Models (PDF)
Shahar Harel and Kira Radinsky
Molecular Pharmaceutics, August 2018.

Machine learning of big data in gaining insight into successful treatment of hypertension (PDF)
Gideon Koren, Galia Nordon, Kira Radinsky, and Varda Shalev
Pharmacology Research and Perspectives (PRP) Volume 6 Issue 3, April 2018.

Behavioral Dynamics on the Web: Learning, Modeling, and Prediction (PDF Code)
[Best of 2013: Notable Article in Computing]
K. Radinsky, K. Svore, S. Dumais, M. Shokouhi, J. Teevan, A. Bocharov, E. Horvitz
ACM Transactions on Information Systems (TOIS) Volume 31 Issue 3, July 2013.

Learning to Predict from Textual Data (PDF)
K. Radinsky, S. Davidovich, S. Markovitch
Journal of Artificial Intelligence Research (JAIR) 45:641-684, December 2012.

Conference Publications

Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction (PDF Code)
Roy Benjamin, Uriel Singer, and Kira Radinsky
ACM International Conference on Information and Knowledge Managementg (CIKM'22), Virtual Conference.

Temporal Attention for Language Models (PDF)
Guy Rosin and Kira Radinsky
The North American Chapter of the Association for Computational Linguistics (NAACL'22).

EqGNN: Equalized Node Opportunity in Graphs (PDF Code)
Uriel Singer and Kira Radinsky
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22).

Learning to Rank Articles for Molecular Queries (PDF)
Galia Nordon, Aviram Magen, Ido Guy, and Kira Radinsky
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22).

Time masking for Temporal Language Models (PDF)
Guy D. Rosin, Ido Guy, and Kira Radinsky
The 15th ACM International Conference on Web Search and Data Mining (WSDM'22), Virtual Conference.

Leveraging World Events to Predict e-Commerce Consumer Demand under Anomaly (PDF)
Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, and Kira Radinsky
The 15th ACM International Conference on Web Search and Data Mining (WSDM'22), Virtual Conference.

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning (PDF)
Tomer Golany, Daniel Freedman, and Kira Radinsky
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference.

Multi-property Molecular Optimization using an Integrated Poly-Cycle Architecture (PDF Code)
Guy Barshatski, Galia Nordon, and Kira Radinsky
ACM International Conference on Information and Knowledge Managementg (CIKM'21), Virtual Conference.

Event-Driven Query Expansion (PDF)
Guy D. Rosin, Ido Guy, and Kira Radinsky
The 14th ACM International Conference on Web Search and Data Mining (WSDM'21), Virtual Conference.

12-lead ECG Reconstruction via Koopman Operators (PDF)
Tomer Golany, Daniel Freedman, Saar Minha, and Kira Radinsky
International Conference on Machine Learning (ICML'21).

Unpaired generative molecule-to-molecule translation for lead optimization (PDF Code )
Guy Barshatski and Kira Radinsky
The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21).

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding (PDF Code)
Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, and Kira Radinsky
ACM International Conference on Information and Knowledge Managementg (CIKM'20), Virtual Conference.

SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification (PDF Code Appendix)
Tomer Golany, Daniel Freedman, and Kira Radinsky
International Conference on Machine Learning (ICML'20), Vienna, Austria.

Improving ECG Classification using Generative Adversarial Networks (PDF)
Tomer Golany, Gal Lavee, Shai Tejman Yarden, and Kira Radinsky
The Thirty-Forth AAAI Conference on Artificial Intelligence (IAAI/AAAI'20), New York, USA.

Chemical and Textual Embeddings for Drug Repurposing (PDF)
Galia Nordon, Levi Gottlieb, and Kira Radinsky
The Thirty-Forth AAAI Conference on Artificial Intelligence (IAAI/AAAI'20), New York, USA.

Generating Timelines by Modeling Semantic Change (PDF)
Guy Rosin and Kira Radinsky
SIGNLL Conference on Computational Natural Language Learning (CoNLL'19), Hong Kong, China.

Cross-Cultural Transfer Learning for Text Classification (PDF Code)
Dor Ringel, Gal Lavee, Ido Guy, and Kira Radinsky
Conference on Empirical Methods in Natural Language Processing (EMNLP'19), Hong Kong, China.

Learning to Generate Personalized Product Descriptions (PDF Code)
Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld and Kira Radinsky
ACM International Conference on Information and Knowledge Management (CIKM'19), Beijing, China.

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations (PDF)
[Best Poster Award]
Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky and Ashish Kapoor
International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH'19), Prague, Czech Republic.

Node Embedding over Temporal Graphs (PDF)
Uriel Singer, Ido Guy and Kira Radinsky
International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China.

Learning Novelty-Aware Ranking of Answers to Complex Questions (PDF)
Shahar Harel, Sefi Albo, Eugene Agichtein, and Kira Radinsky
The Web Conference (WWW'19), San Francisco, CA, USA.

Generating Product Descriptions from User Reviews (PDF)
Slava Novgorodov, Ido Guy, Guy Elad, and Kira Radinsky
The Web Conference (WWW'19), San Francisco, CA, USA.

PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification (PDF)
Tomer Golany and Kira Radinsky
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA.

Building Causal Graphs from Medical Literature and Electronic Medical Records (PDF)
Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, and Kira Radinsky
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA.

Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications (PDF)
Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, and Kira Radinsky
The Thirty-Third AAAI Conference on Artificial Intelligence (IAAI/AAAI'19), Honolulu, Hawaii, USA.

Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? (PDF)
Eylon Shoshan and Kira Radinsky
SIGNLL Conference on Computational Natural Language Learning (CoNLL'18), Brussels, Belgium.

Accelerating prototype-based drug discovery using conditional diversity networks (PDF Video)
Shahar Harel and Kira Radinsky
The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom.

Structuring the unstructured: from startup to making sense of ebay's huge ecommerce inventory (PDF)
Ido Guy and Kira Radinsky
the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'17), Tokyo, Japan.

Learning word relatedness over time (PDF )
Guy D. Rosin, Eytan Adar, and Kira Radinsky
Conference on Empirical Methods in Natural Language Processing (EMNLP'17), Copenhagen, Denmark.

Named entity disambiguation for noisy text (PDF Video)
Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, and Omer Levy
SIGNLL Conference on Computational Natural Language Learning (CoNLL'17), Vancouver, Canada.

Mining the Web to Predict Future Events (PDF PPT)
K. Radinsky and E. Horvitz
The 6th ACM International Conference on Web Search and Data Mining (WSDM '13), Rome, Italy.

Predicting Content Change on the Web (PDF PPT)
K. Radinsky and P. N. Bennett
The 6th ACM International Conference on Web Search and Data Mining (WSDM '13), Rome, Italy.

Time-Sensitive Query Auto-Completion (PDF PPT)
M. Shokouhi and K. Radinsky
The 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '12), Portland, US.

Learning Causality for News Events Prediction (PDF PPT)
K. Radinsky, S. Davidovich, S. Markovitch
The 21st International World Wide Web Conference (WWW '12), France.

Modeling and Predicting Behavioral Dynamics on the Web (PDF PPT Code)
K. Radinsky, K. Svore, S. Dumais, J. Teevan, A. Bocharov, E. Horvitz
The 21st International World Wide Web Conference (WWW '12), France.

A Word at a Time: Computing Word Relatedness using Temporal Semantic Analysis (PDF PPT)
K. Radinsky, E. Agichtein, E. Gabrilovich, S. Markovitch
The 20th International World Wide Web Conference (WWW '11), India.

Ranking From Pairs and Triplets: Information Quality, Evaluation Methods and Query Complexity (PDF Video)
K. Radinsky and N. Ailon
The 4th ACM International Conference on Web Search and Data Mining (WSDM '11), Hong Kong.

Predicting the News of Tomorrow using Patterns in Web Search Queries (PDF PPT)
K. Radinsky, S. Davidovich, S. Markovitch
IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), Sydney, Australia.

Workshop Publications

Brain-Computer Interfaces for Music Recommendation (PDF PPT Video)
K. Radinsky, A. Kapoor, A. Oron, K. Master
Neural Information Processing Systems Foundations (NIPS '11 Workshops), Spain.

Learning Causality from Textual Data (PDF Video)
K. Radinsky, S. Davidovich, S. Markovitch
IJCAI Workshop on Learning by Reading and its Applications in Intelligent Question-Answering (IJCAI '11 Workshops), Spain.