Kira Radinsky

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 61

Top Topics

Named Entity Disambiguation

Medical Literature

Product Descriptions

Top Venues

Publications

Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. CoRR (2024)
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information. CoRR (2024)
Sally Turutov, Kira Radinsky
Molecular Optimization Model with Patentability Constraint. AAAI (2024)
Noam Koren, Kira Radinsky
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform. CoRR (2024)
Mousa Arraf, Kira Radinsky
CIQA: A Coding Inspired Question Answering Model. SIGIR (2024)
Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM (2023)
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. CoRR (2023)
Dave Makhervaks, Plia Gillis, Kira Radinsky
Clinical Contradiction Detection. EMNLP (2023)
Sally Turutov, Kira Radinsky
Generating Optimized Molecules without Patent Infringement. CIKM (2023)
Natan Kaminsky, Uriel Singer, Kira Radinsky
CFOM: Lead Optimization For Drug Discovery With Limited Data. CIKM (2023)
Yakir Yehuda, Daniel Freedman, Kira Radinsky
Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. KDD (2023)
Gal Peretz, Mousa Arraf, Kira Radinsky
What If: Generating Code to Answer Simulation Questions in Chemistry Texts. SIGIR (2023)
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. ACL (Findings) (2023)
Gal Peretz, Kira Radinsky
What If: Generating Code to Answer Simulation Questions. CoRR (2022)
Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. WSDM (2022)
Guy D. Rosin, Kira Radinsky
Temporal Attention for Language Models. CoRR (2022)
Guy D. Rosin, Kira Radinsky
Temporal Attention for Language Models. NAACL-HLT (Findings) (2022)
Guy D. Rosin, Ido Guy, Kira Radinsky
Time Masking for Temporal Language Models. WSDM (2022)
Roy Benjamin, Uriel Singer, Kira Radinsky
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. CIKM (2022)
Uriel Singer, Kira Radinsky
EqGNN: Equalized Node Opportunity in Graphs. AAAI (2022)
Shunit Agmon, Plia Gillis, Eric Horvitz, Kira Radinsky
Gender-sensitive word embeddings for healthcare. J. Am. Medical Informatics Assoc. 29 (3) (2022)
Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky
tBDFS: Temporal Graph Neural Network Leveraging DFS. CoRR (2022)
Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky
Learning to Rank Articles for Molecular Queries. AAAI (2022)
Guy Barshatski, Galia Nordon, Kira Radinsky
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture. CIKM (2021)
Uriel Singer, Kira Radinsky, Eric Horvitz
On biases of attention in scientific discovery. Bioinform. 36 (22-23) (2021)
Uriel Singer, Kira Radinsky
EqGNN: Equalized Node Opportunity in Graphs. CoRR (2021)
Tomer Golany, Daniel Freedman, Kira Radinsky
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI (2021)
Guy D. Rosin, Ido Guy, Kira Radinsky
Time Masking for Temporal Language Models. CoRR (2021)
Guy Barshatski, Kira Radinsky
Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization. KDD (2021)
Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha
12-Lead ECG Reconstruction via Koopman Operators. ICML (2021)
Guy D. Rosin, Ido Guy, Kira Radinsky
Event-Driven Query Expansion. WSDM (2021)
Slava Novgorodov, Ido Guy, Guy Elad, Kira Radinsky
Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods. ACM Trans. Internet Techn. 20 (4) (2020)
Tomer Golany, Kira Radinsky, Daniel Freedman
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML (2020)
Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM (2020)
Galia Nordon, Levi Gottlieb, Kira Radinsky
Chemical and Textual Embeddings for Drug Repurposing. AAAI (2020)
Guy D. Rosin, Ido Guy, Kira Radinsky
Event-Driven Query Expansion. CoRR (2020)
Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky
Improving ECG Classification Using Generative Adversarial Networks. AAAI (2020)
Tomer Golany, Daniel Freedman, Kira Radinsky
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR (2020)
Guy D. Rosin, Kira Radinsky
Generating Timelines by Modeling Semantic Change. CoNLL (2019)
Guy D. Rosin, Kira Radinsky
Generating Timelines by Modeling Semantic Change. CoRR (2019)
Tomer Golany, Kira Radinsky
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. AAAI (2019)
Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky
Building Causal Graphs from Medical Literature and Electronic Medical Records. AAAI (2019)
Uriel Singer, Ido Guy, Kira Radinsky
Node Embedding over Temporal Graphs. IJCAI (2019)
Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky
Cross-Cultural Transfer Learning for Text Classification. EMNLP/IJCNLP (1) (2019)
Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky
Learning to Generate Personalized Product Descriptions. CIKM (2019)
Shahar Harel, Sefi Albo, Eugene Agichtein, Kira Radinsky
Learning Novelty-Aware Ranking of Answers to Complex Questions. WWW (2019)
Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. SIMULTECH (2019)
Uriel Singer, Ido Guy, Kira Radinsky
Node Embedding over Temporal Graphs. CoRR (2019)
Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. CoRR (2019)
Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications. AAAI (2019)
Slava Novgorodov, Guy Elad, Ido Guy, Kira Radinsky
Generating Product Descriptions from User Reviews. WWW (2019)
Eylon Shoshan, Kira Radinsky
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? CoNLL (2018)
Shahar Harel, Kira Radinsky
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks. KDD (2018)
Shahar Harel, Kira Radinsky
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks. CoRR (2018)
Evgeniy Gabrilovich, Kira Radinsky, Kuansan Wang
The BIG Web Track Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Dana Sagi, Tzoof Avny, Kira Radinsky, Eugene Agichtein
Learning to Focus when Ranking Answers. CoRR (2018)
Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy
Named Entity Disambiguation for Noisy Text. CoRR (2017)
Guy D. Rosin, Eytan Adar, Kira Radinsky
Learning Word Relatedness over Time. EMNLP (2017)
Ido Guy, Kira Radinsky
Structuring the Unstructured: From Startup to Making Sense of eBay's Huge eCommerce Inventory. SIGIR (2017)
Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy
Named Entity Disambiguation for Noisy Text. CoNLL (2017)
Guy D. Rosin, Eytan Adar, Kira Radinsky
Learning Word Relatedness over Time. CoRR (2017)
Kira Radinsky, Sagie Davidovich, Shaul Markovitch
Learning to Predict from Textual Data. CoRR (2014)
Fernando Diaz, Susan T. Dumais, Miles Efron, Kira Radinsky, Maarten de Rijke, Milad Shokouhi
SIGIR 2013 workshop on time aware information access (#TAIA2013). SIGIR (2013)
Kira Radinsky, Paul N. Bennett
Predicting content change on the web. WSDM (2013)
Kira Radinsky, Fernando Diaz, Susan T. Dumais, Milad Shokouhi, Anlei Dong, Yi Chang
Temporal web dynamics and its application to information retrieval. WSDM (2013)
Kira Radinsky, Eric Horvitz
Mining the web to predict future events. WSDM (2013)
Kira Radinsky, Krysta M. Svore, Susan T. Dumais, Milad Shokouhi, Jaime Teevan, Alex Bocharov, Eric Horvitz
Behavioral dynamics on the web: Learning, modeling, and prediction. ACM Trans. Inf. Syst. 31 (3) (2013)
Kira Radinsky, Krysta M. Svore, Susan T. Dumais, Jaime Teevan, Alex Bocharov, Eric Horvitz
Modeling and predicting behavioral dynamics on the web. WWW (2012)
Kira Radinsky
Learning to Predict the Future using Web Knowledge and Dynamics. SIGIR Forum 46 (2) (2012)
Fernando Diaz, Susan T. Dumais, Kira Radinsky, Maarten de Rijke, Milad Shokouhi
#TAIA2012. SIGIR Forum 46 (2) (2012)
Kira Radinsky, Sagie Davidovich, Shaul Markovitch
Learning to Predict from Textual Data. J. Artif. Intell. Res. 45 (2012)
Milad Shokouhi, Kira Radinsky
Time-sensitive query auto-completion. SIGIR (2012)
Kira Radinsky, Sagie Davidovich, Shaul Markovitch
Learning causality for news events prediction. WWW (2012)
Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovich, Shaul Markovitch
A word at a time: computing word relatedness using temporal semantic analysis. WWW (2011)
Kira Radinsky, Nir Ailon
Ranking from pairs and triplets: information quality, evaluation methods and query complexity. WSDM (2011)
Kira Radinsky, Sagie Davidovich, Shaul Markovitch
Predicting theNews of Tomorrow Using Patterns in Web Search Queries. Web Intelligence (2008)