Roman Vainshtein

Orcid: 0000-0001-7033-5373

According to our database1, Roman Vainshtein authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks.
Inf. Fusion, May, 2024

Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.
CoRR, 2024

The Branch Not Taken: Predicting Branching in Online Conversations.
CoRR, 2024

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility.
IEEE Trans. Intell. Transp. Syst., November, 2023

2020
Automatic Machine Learning Derived from Scholarly Big Data.
CoRR, 2020

Sequence Preserving Network Traffic Generation.
CoRR, 2020

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering.
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.
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.
CoRR, 2019

Assessing the Quality of Scientific Papers.
CoRR, 2019

AutoGRD: Model Recommendation Through Graphical Dataset Representation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Hybrid Approach for Automatic Model Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018


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