Amit Somech

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Soft Constraints

Reinforcement Learning

Data Exploration

Similarity Search

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Yevgeni Berkovitch, Oren Glickman, Amit Somech, Tomer Wolfson
Generating Tables from the Parametric Knowledge of Language Models. CoRR (2024)
Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. CoRR (2024)
Tavor Lipman, Tova Milo, Amit Somech
ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning. SIGMOD Conference Companion (2023)
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech
Selecting Sub-tables for Data Exploration. ICDE (2023)
Ido Ikar, Amit Somech
EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification. CIKM (2023)
Sariel Tutay, Amit Somech
Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results. CIKM (2023)
Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
SubTab: Data Exploration with Informative Sub-Tables. SIGMOD Conference (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. CoRR (2022)
Teddy Lazebnik, Amit Somech
Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. CIKM (2022)
Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
Selecting Sub-tables for Data Exploration. CoRR (2022)
Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg
SubStrat: A Subset-Based Optimization Strategy for Faster AutoML. Proc. VLDB Endow. 16 (4) (2022)
Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg
SubStrat: A Subset-Based Strategy for Faster AutoML. CoRR (2022)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Mualem, Amit Somech
FEDEX: An Explainability Framework for Data Exploration Steps. Proc. VLDB Endow. 15 (13) (2022)
Ori Bar El, Tova Milo, Amit Somech
Towards Autonomous, Hands-Free Data Exploration. CIDR (2020)
Amit Somech, Tova Milo, Oded Elbaz
Incremental Based Framework for Efficient Top-K Similarity Search in Interactive Data Analysis Sessions. EDBT (2020)
Daniel Deutch, Amir Gilad, Tova Milo, Amit Somech
ExplainED: Explanations for EDA Notebooks. Proc. VLDB Endow. 13 (12) (2020)
Tova Milo, Amit Somech
Automating Exploratory Data Analysis via Machine Learning: An Overview. SIGMOD Conference (2020)
Ori Bar El, Tova Milo, Amit Somech
Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning. SIGMOD Conference (2020)
Brit Youngmann, Tova Milo, Amit Somech
Boosting SimRank with Semantics. EDBT (2019)
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
Declarative User Selection with Soft Constraints. CIKM (2019)
Amit Somech, Tova Milo, Chai Ozeri
Predicting "What is Interesting" by Mining Interactive-Data-Analysis Session Logs. EDBT (2019)
Ori Bar El, Tova Milo, Amit Somech
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. CIKM (2019)
Tova Milo, Amit Somech, Brit Youngmann
SimMeme: A Search Engine for Internet Memes. ICDE (2019)
Tova Milo, Amit Somech
Deep Reinforcement-Learning Framework for Exploratory Data Analysis. aiDM@SIGMOD (2018)
Tova Milo, Amit Somech
Next-Step Suggestions for Modern Interactive Data Analysis Platforms. KDD (2018)
Tova Milo, Amit Somech
REACT: Context-Sensitive Recommendations for Data Analysis. SIGMOD Conference (2016)
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. 9 (13) (2016)
Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech
Managing General and Individual Knowledge in Crowd Mining Applications. CIDR (2015)
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech
Ontology Assisted Crowd Mining. Proc. VLDB Endow. 7 (13) (2014)
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech
OASSIS: query driven crowd mining. SIGMOD Conference (2014)