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Computer Science

D-Index
49
Citations
11641
World Ranking
5813
National Ranking
2644

Overview

Daniel Barbará is affiliated with George Mason University in the United States. Their research spans multiple fields including Computer Science and Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology, Artificial Intelligence, Signal Processing, Social Psychology, and Information Systems.

Their work engages with a range of interdisciplinary topics, which include:

  • Machine Learning in Bioinformatics
  • Human-Automation Interaction and Safety
  • User Authentication and Security Systems
  • Cognitive Functions and Memory
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • Antimicrobial Peptides and Activities

Barbará's recent publications reflect this diversity of interests. Key papers include:

  • "Anomaly Detection-Based Recognition of Near-Native Protein Structures" (2020), published in IEEE Transactions on NanoBioscience
  • "Exploring Deep Neural Network Architectures: A Case Study on Improving Antimicrobial Peptide Recognition" (2020), featured in EPiC series in computing
  • "Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets" (2022), appearing on arXiv (Cornell University)
  • "Usage of an AI-Based Password Tool: Impacts of Security Fatigue, Age, and Individual Differences" (2024), presented in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • "Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising" (2022), also available on arXiv (Cornell University)

Their frequent publication venues illuminate areas of ongoing research activity and dissemination:

  • arXiv (Cornell University)
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • IEEE Transactions on NanoBioscience
  • EPiC series in computing

Collaboration has been a part of Barbará's research process, involving work with several co-authors on multiple occasions. Notable collaborators include:

  • Amarda Shehu
  • Gerald Matthews
  • Giuseppe Ateniese
  • Shawn C. Thayer
  • Nicholas C. Leskovec

Best Publications

  • How to assign votes in a distributed system

    Hector Garcia-Molina;Daniel Barbara

  • Mobile computing and databases-a survey

    D. Barbara

  • Sleepers and workaholics: caching strategies in mobile environments

    Daniel Barbará;Tomasz Imieliński

  • The management of probabilistic data

    D. Barbara;H. Garcia-Molina;D. Porter

  • On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking

    L. AlSumait;D. Barbara;C. Domeniconi

  • COOLCAT: an entropy-based algorithm for categorical clustering

    Daniel Barbará;Yi Li;Julia Couto

  • Data caching issues in an information retrieval system

    Rafael Alonso;Daniel Barbara;Hector Garcia-Molina

  • DETECTING NOVEL NETWORK INTRUSIONS USING BAYES ESTIMATORS

    Daniel Barbará;Ningning Wu;Sushil Jajodia

  • The New Jersey Data Reduction Report.

    Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas

  • ADAM: a testbed for exploring the use of data mining in intrusion detection

    Daniel Barbará;Julia Couto;Sushil Jajodia;Ningning Wu

  • Sleepers and workaholics: caching strategies in mobile environments (extended version)

    Daniel Barbará;Tomasz Imieliński

  • Audio-based wide area information system

    Daniel Barbara;Shamin A. Naqvi

  • Requirements for clustering data streams

    Daniel Barbará

  • Preserving QoS of e-commerce sites through self-tuning: a performance model approach

    Daniel A. Menascé;Daniel Barbará;Ronald Dodge

  • Using the fractal dimension to cluster datasets

    Daniel Barbará;Ping Chen

  • Topic Significance Ranking of LDA Generative Models

    Loulwah Alsumait;Daniel Barbará;James Gentle;Carlotta Domeniconi

  • Applications of Data Mining in Computer Security

    Daniel Barbara;Sushil Jajodia

  • Trie structure based method and apparatus for indexing and searching handwritten databases with dynamic search sequencing

    Walid Aref;Daniel Barbara

  • INCAs: Managing Dynamic Workflows in Distributed Environments

    Daniel Barbara;Sharad Mehrotra;Marek Rusinkiewicz

  • Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003

    Unknown

  • Sleepers and Workaholics: Caching Strategies in Mobile Environments

    Daniel Barbará;Tomasz Imielinski

Frequent Co-Authors

Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Carlotta Domeniconi
Carlotta Domeniconi George Mason University
Sushil Jajodia
Sushil Jajodia George Mason University
Angelos Stavrou
Angelos Stavrou Virginia Tech
Walid G. Aref
Walid G. Aref Purdue University West Lafayette
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine
Ben Kao
Ben Kao University of Hong Kong
Daniel A. Menascé
Daniel A. Menascé George Mason University
Tomasz Imielinski
Tomasz Imielinski Rutgers, The State University of New Jersey
Richard J. Lipton
Richard J. Lipton Georgia Institute of Technology

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