| 2025 | EDBT | LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. | Tavor Lipman, Tova Milo, Amit Somech, Tomer Wolfson, Oz Zafar |
| 2025 | SIGMOD | PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data. | Hadar Ben-Efraim, Susan B. Davidson, Amit Somech |
| 2025 | SIGMOD | OmniTune: A Universal Framework for Query Refinement via LLMs. | Eldar Hacohen, Yuval Moskovitch, Amit Somech |
| 2023 | CIKM | EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification. | Ido Ikar, Amit Somech |
| 2023 | CIKM | Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results. | Sariel Tutay, Amit Somech |
| 2023 | ICDE | Selecting Sub-tables for Data Exploration. | Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech |
| 2023 | SIGMOD | ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning. | Tavor Lipman, Tova Milo, Amit Somech |
| 2022 | CIKM | Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. | Teddy Lazebnik, Amit Somech |
| 2022 | SIGMOD | SubTab: Data Exploration with Informative Sub-Tables. | Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo |
| 2020 | CIDR | Towards Autonomous, Hands-Free Data Exploration. | Ori Bar El, Tova Milo, Amit Somech |
| 2020 | EDBT | Incremental Based Framework for Efficient Top-K Similarity Search in Interactive Data Analysis Sessions. | Amit Somech, Tova Milo, Oded Elbaz |
| 2020 | SIGMOD | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning. | Ori Bar El, Tova Milo, Amit Somech |
| 2020 | SIGMOD | Automating Exploratory Data Analysis via Machine Learning: An Overview. | Tova Milo, Amit Somech |
| 2019 | CIKM | Declarative User Selection with Soft Constraints. | Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann |
| 2019 | CIKM | ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. | Ori Bar El, Tova Milo, Amit Somech |
| 2019 | EDBT | Predicting "What is Interesting" by Mining Interactive-Data-Analysis Session Logs. | Amit Somech, Tova Milo, Chai Ozeri |
| 2019 | EDBT | Boosting SimRank with Semantics. | Brit Youngmann, Tova Milo, Amit Somech |
| 2019 | ICDE | SimMeme: A Search Engine for Internet Memes. | Tova Milo, Amit Somech, Brit Youngmann |
| 2018 | KDD | Next-Step Suggestions for Modern Interactive Data Analysis Platforms. | Tova Milo, Amit Somech |
| 2018 | SIGMOD | Deep Reinforcement-Learning Framework for Exploratory Data Analysis. | Tova Milo, Amit Somech |
| 2016 | SIGMOD | REACT: Context-Sensitive Recommendations for Data Analysis. | Tova Milo, Amit Somech |
| 2015 | CIDR | Managing General and Individual Knowledge in Crowd Mining Applications. | Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech |
| 2014 | SIGMOD | OASSIS: query driven crowd mining. | Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech |