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Computer Science

D-Index
73
Citations
43455
World Ranking
1539
National Ranking
31

Overview

Lior Rokach is a researcher affiliated with Ben-Gurion University of the Negev in Israel, with a focus spanning computer science and medicine. Their work covers a variety of fields and topics, aligning with substantial publication output and collaborative research activities.

The main fields of study for Lior Rokach include:

  • Computer Science
  • Medicine

Within these fields, notable subfields consist of:

  • Artificial Intelligence
  • Molecular Biology
  • Genetics
  • Information Systems
  • Signal Processing

The primary research topics addressed include:

  • Machine Learning and Data Classification
  • Chronic Lymphocytic Leukemia Research
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques

Lior Rokach has contributed to multiple recent papers. Selected publications are:

  • "A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities," 2020, Information Fusion
  • "Approximating XGBoost with an interpretable decision tree," 2021, Information Sciences
  • "Explaining anomalies detected by autoencoders using Shapley Additive Explanations," 2021, Expert Systems with Applications
  • "Explainable decision forest: Transforming a decision forest into an interpretable tree," 2020, Information Fusion
  • "Safety and efficacy of the BNT162b mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia," 2021, Haematologica

The researcher has published extensively in various venues, with notable frequent publication outlets including:

  • arXiv (Cornell University)
  • Information Fusion
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Expert Systems with Applications

Frequent co-authors collaborating with Lior Rokach are:

  • Bracha Shapira
  • Tamar Tadmor
  • Seffi Cohen
  • Guy Melamed
  • Guy Shtar

In terms of book publications, Lior Rokach has contributed to the book titled Cluster Analysis, published by World Scientific in 2024.

Best Publications

  • Introduction to Recommender Systems Handbook

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • Recommender Systems Handbook

    Francesco Ricci;Lior Rokach;Bracha Shapira;Paul B. Kantor

  • Ensemble-based classifiers

    Lior Rokach

  • Data Mining and Knowledge Discovery Handbook

    Oded Maimon;Lior Rokach

  • Ensemble learning: A survey

    Omer Sagi;Lior Rokach

  • Data Mining with Decision Trees: Theory and Applications

    Lior Rokach;Oded Maimon

  • Top-down induction of decision trees classifiers - a survey

    L. Rokach;O. Maimon

  • Recommender Systems: Introduction and Challenges

    Francesco Ricci;Lior Rokach;Bracha Shapira

  • A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

    Sergio González;Salvador García;Javier Del Ser;Lior Rokach

  • Decision forest: Twenty years of research

    Lior Rokach

  • The Data Mining and Knowledge Discovery Handbook

    Oded Z. Maimon;Lior Rokach

  • Approximating XGBoost with an interpretable decision tree

    Omer Sagi;Lior Rokach

  • Pattern Classification Using Ensemble Methods

    Lior Rokach

  • Data Mining and Knowledge Discovery Handbook, 2nd ed

    Oded Z. Maimon;Lior Rokach

  • Explaining anomalies detected by autoencoders using Shapley Additive Explanations

    Liat Antwarg;Ronnie Mindlin Miller;Bracha Shapira;Lior Rokach

  • Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

    Lior Rokach

  • Dynamic Malware Analysis in the Modern Era—A State of the Art Survey

    Ori Or-Meir;Nir Nissim;Yuval Elovici;Lior Rokach

  • Data Mining with Decision Trees - Theory and Applications. 2nd Edition

    Unknown

  • A survey of Clustering Algorithms

    Lior Rokach

  • A Survey of Data Leakage Detection and Prevention Solutions

    Asaf Shabtai;Yuval Elovici;Lior Rokach

  • Link Prediction in Social Networks Using Computationally Efficient Topological Features

    Michael Fire;Lena Tenenboim;Ofrit Lesser;Rami Puzis

  • Introduction to Decision Trees

    Lior Rokach;Oded Maimon

Frequent Co-Authors

Bracha Shapira
Bracha Shapira Ben-Gurion University of the Negev
Yuval Elovici
Yuval Elovici Ben-Gurion University of the Negev
Oded Maimon
Oded Maimon Tel Aviv University
Asaf Shabtai
Asaf Shabtai Ben-Gurion University of the Negev
Robert Moskovitch
Robert Moskovitch Columbia University
C. Lee Giles
C. Lee Giles Pennsylvania State University
Cornelia Caragea
Cornelia Caragea University of Illinois at Chicago
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Daniel A. Keim
Daniel A. Keim University of Konstanz

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