Roman Vainshtein

According to our database, Roman Vainshtein authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks.

Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach

Inf. Fusion, May, 2024

The Branch Not Taken: Predicting Branching in Online Conversations.

Shai Meital, Lior Rokach, Roman Vainshtein, Nir Grinberg

CoRR, 2024

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.

Jonathan Brokman, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility.

Adva Hadrian, Roman Vainshtein, Bracha Shapira, Lior Rokach

IEEE Trans. Intell. Transp. Syst., November, 2023

2020

Automatic Machine Learning Derived from Scholarly Big Data.

Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

CoRR, 2020

Sequence Preserving Network Traffic Generation.

Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira

CoRR, 2020

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering.

Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning.

Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines.

Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach

CoRR, 2019

Assessing the Quality of Scientific Papers.

Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

CoRR, 2019

AutoGRD: Model Recommendation Through Graphical Dataset Representation.

Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Hybrid Approach for Automatic Model Recommendation.

Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018