Search Results for author: Roman Vainshtein

Found 4 papers, 0 papers with code

Automatic Machine Learning Derived from Scholarly Big Data

no code implementations6 Mar 2020 Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

One of the challenging aspects of applying machine learning is the need to identify the algorithms that will perform best for a given dataset.

BIG-bench Machine Learning

Sequence Preserving Network Traffic Generation

no code implementations23 Feb 2020 Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira

We examined two methods for extracting sequences of activities: a Markov model and a neural language model.

Language Modelling Two-sample testing

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

no code implementations31 Oct 2019 Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach

In this study, we propose RankML, a meta-learning based approach for predicting the performance of whole machine learning pipelines.

BIG-bench Machine Learning Meta-Learning

Assessing the Quality of Scientific Papers

no code implementations12 Aug 2019 Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

In this paper, we propose a measure and method for assessing the overall quality of the scientific papers in a particular field of study.

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