Segev Shlomov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Natural Language Processing

Process Automation

Top Venues

GECCO (Companion)

Publications

Alon Oved, Segev Shlomov, Sergey Zeltyn, Nir Mashkif, Avi Yaeli
SNAP: Semantic Stories for Next Activity Prediction. CoRR (2024)
Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition. AAAI (2024)
Segev Shlomov, Avi Yaeli, Sami Marreed, Sivan Schwartz, Netanel Eder, Offer Akrabi, Sergey Zeltyn
IDA: Breaking Barriers in No-code UI Automation Through Large Language Models and Human-Centric Design. CoRR (2024)
Hadar Mulian, Segev Shlomov, Lior Limonad
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition. CoRR (2023)
Sivan Schwartz, Avi Yaeli, Segev Shlomov
Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges. CoRR (2023)
Segev Shlomov, Jonathan Muehlstein, Nitzan Guetta, Lior Limonad
Ongoing Tracking of Engagement in Motor Learning. CoRR (2023)
Sergey Zeltyn, Segev Shlomov, Avi Yaeli, Alon Oved
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration. PMAI@IJCAI (2022)
Naama Zwerdling, Segev Shlomov, Esther Goldbraich, George Kour, Boaz Carmeli, Naama Tepper, Inbal Ronen, Vitaly Zabershinsky, Ateret Anaby-Tavor
Understanding the Properties of Generated Corpora. CoRR (2022)
Avi Yaeli, Segev Shlomov, Alon Oved, Sergey Zeltyn, Nir Mashkif
Recommending Next Best Skill in Conversational Robotic Process Automation. BPM (Blockchain and RPA Forum) (2022)
Sergey Zeltyn, Segev Shlomov, Avi Yaeli, Alon Oved
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration. CoRR (2022)
Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity. CoRR (2021)
Yakov Babichenko, Segev Shlomov
Robust learning in social networks via matrix scaling. Oper. Res. Lett. 49 (5) (2021)
Itai Arieli, Yakov Babichenko, Segev Shlomov
Virtually additive learning. J. Econ. Theory 197 (2021)
Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity. EMNLP (1) (2021)
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
Do Not Have Enough Data? Deep Learning to the Rescue! AAAI (2020)
Itai Arieli, Yakov Babichenko, Segev Shlomov
Robust Non-Bayesian Social Learning. EC (2019)
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
Not Enough Data? Deep Learning to the Rescue! CoRR (2019)
Rotem Dror, Segev Shlomov, Roi Reichart
Deep Dominance - How to Properly Compare Deep Neural Models. ACL (1) (2019)
Rotem Dror, Gili Baumer, Segev Shlomov, Roi Reichart
The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing. ACL (1) (2018)
Rotem Dror, Amir Kantor, Michael Masin, Segev Shlomov
Set-SMAA for finding preferable multi-objective solutions. GECCO (Companion) (2017)