Nave Frost - RankMe

42 papers A* 6A 3B 6Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Automating Efficient Data Collection through the Synergy of Agentic AI and Active Learning. EDBT Yael Einy, Guy Dar, Slava Novgorodov, Tova Milo, Nave Frost
2026	B	`conf`	CoDeC: Constraints-Guided Diverse Counterfactuals. EDBT Avia Asael, Nave Frost, Amir Gilad, Daniel Deutch
2025	J	`jnl`	Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms. CoRR Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
2025	J	`jnl`	Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms. Proc. VLDB Endow. Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
2025	J	`jnl`	CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers. CoRR Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif
2024	J	`jnl`	Banzhaf Values for Facts in Query Answering. Proc. ACM Manag. Data Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
2024	A*	`conf`	CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers. SP Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif
2024	J	`jnl`	Demonstrating TabEE: Tabular Embedding Explanations. Proc. VLDB Endow. Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze
2024	B	`conf`	Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases. EDBT Aviv Ben-Arie, Daniel Deutch, Nave Frost, Yair Horesh, Idan Meyuhas
2024	B	`conf`	Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
2024	B	`conf`	Predicting Fact Contributions from Query Logs with Machine Learning. EDBT Dana Arad, Daniel Deutch, Nave Frost
2024	J	`jnl`	TabEE: Tabular Embeddings Explanations. Proc. ACM Manag. Data Roni Copul, Nave Frost, Tova Milo, Kathy Razmadze
2023	J	`jnl`	Banzhaf Values for Facts in Query Answering. CoRR Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
2022	—	`conf`	Computing the Shapley Value of Facts in Query Answering. SIGMOD Conference Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
2022	A*	`conf`	Framework for Evaluating Faithfulness of Local Explanations. ICML Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz
2022	J	`jnl`	Framework for Evaluating Faithfulness of Local Explanations. CoRR Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz
2022	A	`conf`	LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. CIKM Dana Arad, Daniel Deutch, Nave Frost
2022	—	`conf`	ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values. SIGMOD Conference Susan B. Davidson, Daniel Deutch, Nave Frost, Benny Kimelfeld, Omer Koren, Mikaël Monet
2022	—	`—`	Toward Explainable Data Science Nave Frost
2021	J	`jnl`	Computing the Shapley Value of Facts in Query Answering. CoRR Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet
2021	A	`conf`	Explanations for Data Repair Through Shapley Values. CIKM Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
2021	—	`conf`	SmartTriage: A system for personalized patient data capture, documentation generation, and decision support. ML4H@NeurIPS Ilya Valmianski, Nave Frost, Navdeep Sood, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Ian M. Finn, Daniel S. Zisook
2020	J	`jnl`	ExKMC: Expanding Explainable k-Means Clustering. CoRR Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
2020	A*	`conf`	Explainable k-Means and k-Medians Clustering. ICML Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost
2020	J	`jnl`	Explainable k-Means and k-Medians Clustering. CoRR Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian
2020	B	`conf`	Explaining Missing Query Results in Natural Language. EDBT Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
2020	J	`jnl`	Explaining Natural Language Query Results. CoRR Daniel Deutch, Nave Frost, Amir Gilad
2020	J	`jnl`	Explaining Natural Language query results. VLDB J. Daniel Deutch, Nave Frost, Amir Gilad
2020	J	`jnl`	Just in Time: Personal Temporal Insights for Altering Model Decisions. CoRR Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
2020	J	`jnl`	Personal Insights for Altering Decisions of Tree-based Ensembles over Time. Proc. VLDB Endow. Nave Frost, Naama Boer, Daniel Deutch, Tova Milo
2020	J	`jnl`	SmartTriage: A system for personalized patient data capture, documentation generation, and decision support. CoRR Ilya Valmianski, Ian M. Finn, Nave Frost, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Daniel S. Zisook
2020	—	`conf`	T-REx: Table Repair Explanations. SIGMOD Conference Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
2020	J	`jnl`	T-REx: Table Repair Explanations. CoRR Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
2019	A*	`conf`	Constraints-Based Explanations of Classifications. ICDE Daniel Deutch, Nave Frost
2019	A*	`conf`	Explaining Results of Data-Driven Applications. ICDE Nave Frost
2019	A*	`conf`	Just in Time: Personal Temporal Insights for Altering Model Decisions. ICDE Naama Boer, Daniel Deutch, Nave Frost, Tova Milo
2018	A	`conf`	CEC: Constraints based Explanation for Classifications. CIKM Daniel Deutch, Nave Frost
2018	J	`jnl`	NLProveNAns: Natural Language Provenance for Non-Answers. Proc. VLDB Endow. Daniel Deutch, Nave Frost, Amir Gilad, Tomer Haimovich
2018	J	`jnl`	Natural Language Explanations for Query Results. SIGMOD Rec. Daniel Deutch, Nave Frost, Amir Gilad
2018	J	`jnl`	Provenance for Non-Experts. IEEE Data Eng. Bull. Daniel Deutch, Nave Frost, Amir Gilad
2017	J	`jnl`	Provenance for Natural Language Queries. Proc. VLDB Endow. Daniel Deutch, Nave Frost, Amir Gilad
2016	J	`jnl`	NLProv: Natural Language Provenance. Proc. VLDB Endow. Daniel Deutch, Nave Frost, Amir Gilad