Kira Radinsky - RankMe

95 papers A* 29A 17B 3C 1Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mechanism-Aware Prediction of Tissue-Specific Drug Activity via Multi-Modal Biological Graphs. Trans. Mach. Learn. Res. Sally Turutov, Kira Radinsky
2026	J	`jnl`	ODE-Constrained Generative Modeling of Cardiac Dynamics for 12-Lead ECG Synthesis. Trans. Mach. Learn. Res. Yakir Yehuda, Kira Radinsky
2026	A*	`conf`	PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis. AAAI Yakir Yehuda, Kira Radinsky
2026	J	`jnl`	SFO: Learning PDE Operators via Spectral Filtering. CoRR Noam Koren, Rafael Moschopoulos, Kira Radinsky, Elad Hazan
2026	A*	`conf`	SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. AAAI Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2025	J	`jnl`	Beyond the leaderboard: leveraging predictive modeling for protein-ligand insights and discovery. Bioinform. Dan Kalifa, Kira Radinsky, Eric Horvitz
2025	—	`conf`	Cross-Species Insights: Transforming Drug Efficacy from Rats to Humans Using Tissue-Specific Generative Models. KDD (1) Sally Turutov, Kira Radinsky
2025	A	`conf`	Docking-Aware Attention: Dynamic Protein Representations through Molecular Context Integration. CIKM Amitay Sicherman, Kira Radinsky
2025	J	`jnl`	Docking-Aware Attention: Dynamic Protein Representations through Molecular Context Integration. CoRR Amitay Sicherman, Kira Radinsky
2025	J	`jnl`	FusionProt: Fusing Sequence and Structural Information for Unified Protein Representation Learning. Trans. Mach. Learn. Res. Dan Kalifa, Uriel Singer, Kira Radinsky
2025	A	`conf`	GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning. CIKM Dan Kalifa, Uriel Singer, Kira Radinsky
2025	J	`jnl`	Predicting Oxidation Potentials with DFT-Driven Machine Learning. J. Chem. Inf. Model. Shweta Sharma, Natan Kaminsky, Kira Radinsky, Lilac Amirav
2025	J	`jnl`	ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction Networks. CoRR Amitay Sicherman, Kira Radinsky
2025	J	`jnl`	SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels. CoRR Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2024	A*	`conf`	CIQA: A Coding Inspired Question Answering Model. SIGIR Mousa Arraf, Kira Radinsky
2024	J	`jnl`	GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning. CoRR Dan Kalifa, Uriel Singer, Kira Radinsky
2024	J	`jnl`	Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform. CoRR Noam Koren, Kira Radinsky
2024	—	`conf`	Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information. NAACL (Short Papers) Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2024	J	`jnl`	Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information. CoRR Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2024	J	`jnl`	Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. CoRR Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
2024	A*	`conf`	Molecular Optimization Model with Patentability Constraint. AAAI Sally Turutov, Kira Radinsky
2024	J	`jnl`	Ordinary Differential Equations for Enhanced 12-Lead ECG Generation. CoRR Yakir Yehuda, Kira Radinsky
2023	A	`conf`	CFOM: Lead Optimization For Drug Discovery With Limited Data. CIKM Natan Kaminsky, Uriel Singer, Kira Radinsky
2023	A*	`conf`	Clinical Contradiction Detection. EMNLP Dave Makhervaks, Plia Gillis, Kira Radinsky
2023	A	`conf`	Generating Optimized Molecules without Patent Infringement. CIKM Sally Turutov, Kira Radinsky
2023	A	`conf`	GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
2023	A*	`conf`	Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. KDD Yakir Yehuda, Daniel Freedman, Kira Radinsky
2023	—	`conf`	Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. ACL (Findings) Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2023	J	`jnl`	Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. CoRR Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2023	A*	`conf`	What If: Generating Code to Answer Simulation Questions in Chemistry Texts. SIGIR Gal Peretz, Mousa Arraf, Kira Radinsky
2022	A*	`conf`	EqGNN: Equalized Node Opportunity in Graphs. AAAI Uriel Singer, Kira Radinsky
2022	J	`jnl`	Gender-sensitive word embeddings for healthcare. J. Am. Medical Informatics Assoc. Shunit Agmon, Plia Gillis, Eric Horvitz, Kira Radinsky
2022	A	`conf`	Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. CIKM Roy Benjamin, Uriel Singer, Kira Radinsky
2022	A*	`conf`	Learning to Rank Articles for Molecular Queries. AAAI Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky
2022	A	`conf`	Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. WSDM Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
2022	—	`conf`	Temporal Attention for Language Models. NAACL-HLT (Findings) Guy D. Rosin, Kira Radinsky
2022	J	`jnl`	Temporal Attention for Language Models. CoRR Guy D. Rosin, Kira Radinsky
2022	A	`conf`	Time Masking for Temporal Language Models. WSDM Guy D. Rosin, Ido Guy, Kira Radinsky
2022	J	`jnl`	What If: Generating Code to Answer Simulation Questions. CoRR Gal Peretz, Kira Radinsky
2022	J	`jnl`	tBDFS: Temporal Graph Neural Network Leveraging DFS. CoRR Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky
2021	A*	`conf`	12-Lead ECG Reconstruction via Koopman Operators. ICML Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha
2021	A*	`conf`	ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI Tomer Golany, Daniel Freedman, Kira Radinsky
2021	J	`jnl`	EqGNN: Equalized Node Opportunity in Graphs. CoRR Uriel Singer, Kira Radinsky
2021	A	`conf`	Event-Driven Query Expansion. WSDM Guy D. Rosin, Ido Guy, Kira Radinsky
2021	A	`conf`	Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture. CIKM Guy Barshatski, Galia Nordon, Kira Radinsky
2021	J	`jnl`	On biases of attention in scientific discovery. Bioinform. Uriel Singer, Kira Radinsky, Eric Horvitz
2021	J	`jnl`	Time Masking for Temporal Language Models. CoRR Guy D. Rosin, Ido Guy, Kira Radinsky
2021	A*	`conf`	Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization. KDD Guy Barshatski, Kira Radinsky
2020	A*	`conf`	Chemical and Textual Embeddings for Drug Repurposing. AAAI Galia Nordon, Levi Gottlieb, Kira Radinsky
2020	J	`jnl`	Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods. ACM Trans. Internet Techn. Slava Novgorodov, Ido Guy, Guy Elad, Kira Radinsky
2020	J	`jnl`	Event-Driven Query Expansion. CoRR Guy D. Rosin, Ido Guy, Kira Radinsky
2020	A*	`conf`	Improving ECG Classification Using Generative Adversarial Networks. AAAI Tomer Golany, Gal Lavee, Shai Tejman-Yarden, Kira Radinsky
2020	A*	`conf`	SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML Tomer Golany, Kira Radinsky, Daniel Freedman
2020	J	`jnl`	SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR Tomer Golany, Daniel Freedman, Kira Radinsky
2020	A	`conf`	tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
2019	A*	`conf`	Building Causal Graphs from Medical Literature and Electronic Medical Records. AAAI Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky
2019	—	`conf`	Cross-Cultural Transfer Learning for Text Classification. EMNLP/IJCNLP (1) Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky
2019	C	`conf`	Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. SIMULTECH Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
2019	J	`jnl`	Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. CoRR Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor
2019	A*	`conf`	Generating Product Descriptions from User Reviews. WWW Slava Novgorodov, Guy Elad, Ido Guy, Kira Radinsky
2019	B	`conf`	Generating Timelines by Modeling Semantic Change. CoNLL Guy D. Rosin, Kira Radinsky
2019	J	`jnl`	Generating Timelines by Modeling Semantic Change. CoRR Guy D. Rosin, Kira Radinsky
2019	A*	`conf`	Learning Novelty-Aware Ranking of Answers to Complex Questions. WWW Shahar Harel, Sefi Albo, Eugene Agichtein, Kira Radinsky
2019	A	`conf`	Learning to Generate Personalized Product Descriptions. CIKM Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky
2019	A*	`conf`	Node Embedding over Temporal Graphs. IJCAI Uriel Singer, Ido Guy, Kira Radinsky
2019	J	`jnl`	Node Embedding over Temporal Graphs. CoRR Uriel Singer, Ido Guy, Kira Radinsky
2019	A*	`conf`	PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. AAAI Tomer Golany, Kira Radinsky
2019	A*	`conf`	Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications. AAAI Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky
2018	A*	`conf`	Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks. KDD Shahar Harel, Kira Radinsky
2018	J	`jnl`	Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks. CoRR Shahar Harel, Kira Radinsky
2018	B	`conf`	Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? CoNLL Eylon Shoshan, Kira Radinsky
2018	J	`jnl`	Learning to Focus when Ranking Answers. CoRR Dana Sagi, Tzoof Avny, Kira Radinsky, Eugene Agichtein
2018	—	`conf`	The BIG Web Track Chairs' Welcome & Organization. WWW (Companion Volume) Evgeniy Gabrilovich, Kira Radinsky, Kuansan Wang
2017	A*	`conf`	Learning Word Relatedness over Time. EMNLP Guy D. Rosin, Eytan Adar, Kira Radinsky
2017	J	`jnl`	Learning Word Relatedness over Time. CoRR Guy D. Rosin, Eytan Adar, Kira Radinsky
2017	B	`conf`	Named Entity Disambiguation for Noisy Text. CoNLL Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy
2017	J	`jnl`	Named Entity Disambiguation for Noisy Text. CoRR Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy
2017	A*	`conf`	Structuring the Unstructured: From Startup to Making Sense of eBay's Huge eCommerce Inventory. SIGIR Ido Guy, Kira Radinsky
2014	A	`ed.`	Advances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings ECIR Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann
2014	J	`jnl`	Learning to Predict from Textual Data. CoRR Kira Radinsky, Sagie Davidovich, Shaul Markovitch
2013	J	`jnl`	Behavioral dynamics on the web: Learning, modeling, and prediction. ACM Trans. Inf. Syst. Kira Radinsky, Krysta M. Svore, Susan T. Dumais, Milad Shokouhi, Jaime Teevan, Alex Bocharov, Eric Horvitz
2013	A	`conf`	Mining the web to predict future events. WSDM Kira Radinsky, Eric Horvitz
2013	A	`conf`	Predicting content change on the web. WSDM Kira Radinsky, Paul N. Bennett
2013	A*	`conf`	SIGIR 2013 workshop on time aware information access (#TAIA2013). SIGIR Fernando Diaz, Susan T. Dumais, Miles Efron, Kira Radinsky, Maarten de Rijke, Milad Shokouhi
2013	A	`conf`	Temporal web dynamics and its application to information retrieval. WSDM Kira Radinsky, Fernando Diaz, Susan T. Dumais, Milad Shokouhi, Anlei Dong, Yi Chang
2012	J	`jnl`	#TAIA2012. SIGIR Forum Fernando Diaz, Susan T. Dumais, Kira Radinsky, Maarten de Rijke, Milad Shokouhi
2012	A*	`conf`	Learning causality for news events prediction. WWW Kira Radinsky, Sagie Davidovich, Shaul Markovitch
2012	J	`jnl`	Learning to Predict from Textual Data. J. Artif. Intell. Res. Kira Radinsky, Sagie Davidovich, Shaul Markovitch
2012	J	`jnl`	Learning to Predict the Future using Web Knowledge and Dynamics. SIGIR Forum Kira Radinsky
2012	—	`—`	Learning to predict the future using Web knowledge and dynamics. Kira Radinsky
2012	A*	`conf`	Modeling and predicting behavioral dynamics on the web. WWW Kira Radinsky, Krysta M. Svore, Susan T. Dumais, Jaime Teevan, Alex Bocharov, Eric Horvitz
2012	A*	`conf`	Time-sensitive query auto-completion. SIGIR Milad Shokouhi, Kira Radinsky
2011	A*	`conf`	A word at a time: computing word relatedness using temporal semantic analysis. WWW Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovich, Shaul Markovitch
2011	A	`conf`	Ranking from pairs and triplets: information quality, evaluation methods and query complexity. WSDM Kira Radinsky, Nir Ailon
2008	—	`conf`	Predicting theNews of Tomorrow Using Patterns in Web Search Queries. Web Intelligence Kira Radinsky, Sagie Davidovich, Shaul Markovitch