Kira Radinsky

Orcid: 0009-0007-7918-2204

Affiliations:
  • eBay Research, Netanya, Israel
  • Technion-Israel Institute of Technology, Haifa, Israel


According to our database1, Kira Radinsky authored at least 61 papers between 2008 and 2024.

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Bibliography

2024
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information.
CoRR, 2024

Molecular Optimization Model with Patentability Constraint.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
What If: Generating Code to Answer Simulation Questions in Chemistry Texts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Clinical Contradiction Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generating Optimized Molecules without Patent Infringement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CFOM: Lead Optimization For Drug Discovery With Limited Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GraphERT- Transformers-based Temporal Dynamic Graph Embedding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Gender-sensitive word embeddings for healthcare.
J. Am. Medical Informatics Assoc., 2022

tBDFS: Temporal Graph Neural Network Leveraging DFS.
CoRR, 2022

What If: Generating Code to Answer Simulation Questions.
CoRR, 2022

Time Masking for Temporal Language Models.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Temporal Attention for Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

EqGNN: Equalized Node Opportunity in Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning to Rank Articles for Molecular Queries.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On biases of attention in scientific discovery.
Bioinform., 2021

Event-Driven Query Expansion.
Proceedings of the WSDM '21, 2021

Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

12-Lead ECG Reconstruction via Koopman Operators.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods.
ACM Trans. Internet Techn., 2020

SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.
Proceedings of the 37th International Conference on Machine Learning, 2020

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Chemical and Textual Embeddings for Drug Repurposing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving ECG Classification Using Generative Adversarial Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Generating Product Descriptions from User Reviews.
Proceedings of the World Wide Web Conference, 2019

Learning Novelty-Aware Ranking of Answers to Complex Questions.
Proceedings of the World Wide Web Conference, 2019

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations.
Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, 2019

Node Embedding over Temporal Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-Cultural Transfer Learning for Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Timelines by Modeling Semantic Change.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Learning to Generate Personalized Product Descriptions.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Building Causal Graphs from Medical Literature and Electronic Medical Records.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning to Focus when Ranking Answers.
CoRR, 2018

The BIG Web Track Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
Structuring the Unstructured: From Startup to Making Sense of eBay's Huge eCommerce Inventory.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning Word Relatedness over Time.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Named Entity Disambiguation for Noisy Text.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2013
Behavioral dynamics on the web: Learning, modeling, and prediction.
ACM Trans. Inf. Syst., 2013

Mining the web to predict future events.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Temporal web dynamics and its application to information retrieval.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Predicting content change on the web.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

SIGIR 2013 workshop on time aware information access (#TAIA2013).
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

2012
Learning to predict the future using Web knowledge and dynamics.
PhD thesis, 2012

Learning to Predict the Future using Web Knowledge and Dynamics.
SIGIR Forum, 2012

#TAIA2012.
SIGIR Forum, 2012

Learning to Predict from Textual Data.
J. Artif. Intell. Res., 2012

Modeling and predicting behavioral dynamics on the web.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Learning causality for news events prediction.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Time-sensitive query auto-completion.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
A word at a time: computing word relatedness using temporal semantic analysis.
Proceedings of the 20th International Conference on World Wide Web, 2011

Ranking from pairs and triplets: information quality, evaluation methods and query complexity.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

2008
Predicting theNews of Tomorrow Using Patterns in Web Search Queries.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008


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