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Author search results
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- Kira Radinsky
eBay Research, Netanya, Israel
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Publication search results
found 66 matches
- 2023
- Shadi Iskander, Kira Radinsky, Yonatan Belinkov:
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. CoRR abs/2305.10204 (2023) - 2022
- Shunit Agmon, Plia Gillis, Eric Horvitz, Kira Radinsky:
Gender-sensitive word embeddings for healthcare. J. Am. Medical Informatics Assoc. 29(3): 415-423 (2022) - Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky:
Learning to Rank Articles for Molecular Queries. AAAI 2022: 12594-12600 - Uriel Singer, Kira Radinsky:
EqGNN: Equalized Node Opportunity in Graphs. AAAI 2022: 8333-8341 - Roy Benjamin, Uriel Singer, Kira Radinsky:
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. CIKM 2022: 2903-2912 - Guy D. Rosin, Kira Radinsky:
Temporal Attention for Language Models. NAACL-HLT (Findings) 2022: 1498-1508 - Dan Kalifa, Uriel Singer
, Ido Guy, Guy D. Rosin, Kira Radinsky:
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. WSDM 2022: 430-438 - Guy D. Rosin, Ido Guy, Kira Radinsky:
Time Masking for Temporal Language Models. WSDM 2022: 833-841 - Guy D. Rosin, Kira Radinsky:
Temporal Attention for Language Models. CoRR abs/2202.02093 (2022) - Gal Peretz, Kira Radinsky:
What If: Generating Code to Answer Simulation Questions. CoRR abs/2204.07835 (2022) - Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky:
tBDFS: Temporal Graph Neural Network Leveraging DFS. CoRR abs/2206.05692 (2022) - 2021
- Uriel Singer
, Kira Radinsky, Eric Horvitz:
On biases of attention in scientific discovery. Bioinform. 36(22-23): 5269-5274 (2021) - Tomer Golany, Daniel Freedman, Kira Radinsky:
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. AAAI 2021: 134-141 - Guy Barshatski, Galia Nordon, Kira Radinsky:
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture. CIKM 2021: 3727-3736 - Tomer Golany, Kira Radinsky, Daniel Freedman, Saar Minha:
12-Lead ECG Reconstruction via Koopman Operators. ICML 2021: 3745-3754 - Guy Barshatski, Kira Radinsky:
Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization. KDD 2021: 2554-2564 - Guy D. Rosin, Ido Guy, Kira Radinsky:
Event-Driven Query Expansion. WSDM 2021: 391-399 - Uriel Singer, Kira Radinsky:
EqGNN: Equalized Node Opportunity in Graphs. CoRR abs/2108.08800 (2021) - Guy D. Rosin, Ido Guy, Kira Radinsky:
Time Masking for Temporal Language Models. CoRR abs/2110.06366 (2021) - 2020
- 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): 44:1-44:31 (2020) - Tomer Golany, Gal Lavee, Shai Tejman Yarden, Kira Radinsky:
Improving ECG Classification Using Generative Adversarial Networks. AAAI 2020: 13280-13285 - Galia Nordon, Levi Gottlieb, Kira Radinsky:
Chemical and Textual Embeddings for Drug Repurposing. AAAI 2020: 13338-13343 - Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky:
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM 2020: 55-64 - Tomer Golany, Kira Radinsky, Daniel Freedman:
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. ICML 2020: 3597-3606 - Tomer Golany, Daniel Freedman, Kira Radinsky:
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification. CoRR abs/2006.15353 (2020) - Guy D. Rosin, Ido Guy, Kira Radinsky:
Event-Driven Query Expansion. CoRR abs/2012.12065 (2020) - 2019
- Tomer Golany, Kira Radinsky:
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification. AAAI 2019: 557-564 - 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: 9565-9572 - Galia Nordon, Gideon Koren
, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky:
Building Causal Graphs from Medical Literature and Electronic Medical Records. AAAI 2019: 1102-1109 - Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky:
Learning to Generate Personalized Product Descriptions. CIKM 2019: 389-398
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retrieved on 2023-06-01 20:48 CEST from data curated by the dblp team
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