Amit Somech - RankMe

40 papers A* 3A 7B 4Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A universal LLM Framework for General Query Refinements. CoRR Eldar Hacohen, Yuval Moskovitch, Amit Somech
2025	J	`jnl`	Explaining Black-Box Clustering Pipelines With Cluster-Explorer. Proc. VLDB Endow. Sariel Ofek, Amit Somech
2025	B	`conf`	LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. EDBT Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar
2025	—	`conf`	OmniTune: A Universal Framework for Query Refinement via LLMs. SIGMOD Conference Companion Eldar Hacohen, Yuval Moskovitch, Amit Somech
2025	—	`conf`	PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data. SIGMOD Conference Companion Hadar Ben-Efraim, Susan B. Davidson, Amit Somech
2025	J	`jnl`	SHARQ: Explainability Framework for Association Rules on Relational Data. Proc. ACM Manag. Data Hadar Ben-Efraim, Susan B. Davidson, Amit Somech
2024	J	`jnl`	Explaining Black-Box Clustering Pipelines With Cluster-Explorer. CoRR Sariel Ofek, Amit Somech
2024	J	`jnl`	Generating Tables from the Parametric Knowledge of Language Models. CoRR Yevgeni Berkovitch, Oren Glickman, Amit Somech, Tomer Wolfson
2024	J	`jnl`	LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. CoRR Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar
2024	J	`jnl`	PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames. Proc. VLDB Endow. Itay Elyashiv, Amir Gilad, Edna Isakov, Tal Tikochinsky, Amit Somech
2024	J	`jnl`	SHARQ: Explainability Framework for Association Rules on Relational Data. CoRR Hadar Ben-Efraim, Susan B. Davidson, Amit Somech
2023	—	`conf`	ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning. SIGMOD Conference Companion Tavor Lipman, Tova Milo, Amit Somech
2023	A	`conf`	Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results. CIKM Sariel Tutay, Amit Somech
2023	A	`conf`	EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification. CIKM Ido Ikar, Amit Somech
2023	A*	`conf`	Selecting Sub-tables for Data Exploration. ICDE Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech
2022	A	`conf`	Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. CIKM Teddy Lazebnik, Amit Somech
2022	J	`jnl`	FEDEX: An Explainability Framework for Data Exploration Steps. CoRR Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
2022	J	`jnl`	FEDEX: An Explainability Framework for Data Exploration Steps. Proc. VLDB Endow. Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
2022	J	`jnl`	Selecting Sub-tables for Data Exploration. CoRR Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
2022	J	`jnl`	SubStrat: A Subset-Based Optimization Strategy for Faster AutoML. Proc. VLDB Endow. Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg
2022	J	`jnl`	SubStrat: A Subset-Based Strategy for Faster AutoML. CoRR Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg
2022	—	`conf`	SubTab: Data Exploration with Informative Sub-Tables. SIGMOD Conference Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
2020	—	`—`	A Context-Sensitive Framework for Data Analysis Amit Somech
2020	—	`conf`	Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning. SIGMOD Conference Ori Bar El, Tova Milo, Amit Somech
2020	—	`conf`	Automating Exploratory Data Analysis via Machine Learning: An Overview. SIGMOD Conference Tova Milo, Amit Somech
2020	J	`jnl`	ExplainED: Explanations for EDA Notebooks. Proc. VLDB Endow. Daniel Deutch, Amir Gilad, Tova Milo, Amit Somech
2020	B	`conf`	Incremental Based Framework for Efficient Top-K Similarity Search in Interactive Data Analysis Sessions. EDBT Amit Somech, Tova Milo, Oded Elbaz
2020	A	`conf`	Towards Autonomous, Hands-Free Data Exploration. CIDR Ori Bar El, Tova Milo, Amit Somech
2019	A	`conf`	ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. CIKM Ori Bar El, Tova Milo, Amit Somech
2019	B	`conf`	Boosting SimRank with Semantics. EDBT Brit Youngmann, Tova Milo, Amit Somech
2019	A	`conf`	Declarative User Selection with Soft Constraints. CIKM Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
2019	B	`conf`	Predicting "What is Interesting" by Mining Interactive-Data-Analysis Session Logs. EDBT Amit Somech, Tova Milo, Chai Ozeri
2019	A*	`conf`	SimMeme: A Search Engine for Internet Memes. ICDE Tova Milo, Amit Somech, Brit Youngmann
2018	—	`conf`	Deep Reinforcement-Learning Framework for Exploratory Data Analysis. aiDM@SIGMOD Tova Milo, Amit Somech
2018	A*	`conf`	Next-Step Suggestions for Modern Interactive Data Analysis Platforms. KDD Tova Milo, Amit Somech
2016	J	`jnl`	December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
2016	—	`conf`	REACT: Context-Sensitive Recommendations for Data Analysis. SIGMOD Conference Tova Milo, Amit Somech
2015	A	`conf`	Managing General and Individual Knowledge in Crowd Mining Applications. CIDR Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech
2014	—	`conf`	OASSIS: query driven crowd mining. SIGMOD Conference Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech
2014	J	`jnl`	Ontology Assisted Crowd Mining. Proc. VLDB Endow. Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech