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

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 Volume ? Issue ?, March 2019.

Prototype-Based Compound Discovery using Deep Generative Models (PDF)
Shahar Harel and Kira Radinsky
Molecular Pharmaceutics Volume ? Issue ?, 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

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations (PDF)
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 (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.

Thesis

Learning to Predict the Future using Web Knowledge and Dynamics (PDF)
Kira Radinsky. Ph.D. Thesis, Department of Computer Science, Technion - Israel Institute of Technology , Haifa, Israel, 2012.

Miscellania

Computational Neuroscience: Pavlovian and Instrumental Conditioning in Spiking Neural Networks (PDF)
Kira Radinsky and Michael Goldish

Quantum Associative Memory (PPT Code)
Kira Radinsky

Characterization of gene expression patterns in the differentiation process of the parasitic protozoan Leishmania donovani (PDF)
Adele Goldman and Kira Radinsky

The effects of natural compounds on proliferation of human prostate cancer cells (PDF)
Kira Radinsky and Ilan Shahin

Patents

System and method for predicting sales

Time-Aware Ranking Adapted to a Search Engine Application.

Social incentives platform

Social marketing manager

Market for social promotion of digital goods

Social influencers discovery

Social network based contextual ranking

Social marketing incentives and rewards

Real-time multiple engine selection and combination

Statistical Network Traffic Signature Analyzer

Executable code validation in web browser