World's Best Scientists 2026 revealed!
Aleksandra Mojsilovic

Aleksandra Mojsilovic

D-Index & Metrics

Computer Science

D-Index
44
Citations
8708
World Ranking
7539
National Ranking
3278

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to signal processing for image analysis, data mining, and business analytics

Overview

Aleksandra Mojsilovic is affiliated with IBM in the United States and conducts research predominantly in the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Information Systems, Molecular Biology, Health Informatics, and Marketing. The primary focus lies in areas such as Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Artificial Intelligence applied to Healthcare and Education, Recommender Systems and Techniques, Customer Churn and Segmentation, Distributed and Parallel Computing Systems, and Computational Drug Discovery Methods.

Their recent publications include the following:

  • "CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models" (2020), arXiv (Cornell University)
  • "AI Explainability 360: Impact and Design" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Predicting and Recommending Skills in the Social Enterprise" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Author Correction: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations" (2021), Nature Biomedical Engineering
  • "Trust and Transparency in Contact Tracing Applications" (2020), arXiv (Cornell University)

Aleksandra collaborates frequently with several co-authors, including:

  • Kush R. Varshney
  • Inkit Padhi
  • Michael Hind
  • Prasanna Sattigeri
  • Moninder Singh

The majority of their work has been published in prominent venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Nature Biomedical Engineering
  • IEEE Internet Computing

Aleksandra Mojsilovic was recognized with the IEEE Fellow award in 2017 for contributions to signal processing for image analysis, data mining, and business analytics.

Best Publications

  • AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

    R. K. E. Bellamy;K. Dey;M. Hind;S. C. Hoffman

  • System and method for measuring image similarity based on semantic meaning

    Aleksandra Mojsilovic;Bernice Rogowitz;Jose Gomes

  • AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

    Rachel K. E. Bellamy;Kuntal Dey;Michael Hind;Samuel C. Hoffman

  • Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.

    Payel Das;Tom Sercu;Kahini Wadhawan;Inkit Padhi

  • FactSheets: Increasing trust in AI services through supplier's declarations of conformity

    M. Arnold;R. K. E. Bellamy;M. Hind;S. Houde

  • Adaptive perceptual color-texture image segmentation

    Junqing Chen;T.N. Pappas;A. Mojsilovic;B.E. Rogowitz

  • Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

    Payel Das;Payel Das;Tom Sercu;Tom Sercu;Kahini Wadhawan;Inkit Padhi

  • One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

    Vijay Arya;Rachel K. E. Bellamy;Pin-Yu Chen;Amit Dhurandhar

  • Matching and retrieval based on the vocabulary and grammar of color patterns

    A. Mojsilovic;J. Kovacevic;Jianying Hu;R.J. Safranek

  • Retrieval and matching of color patterns based on a predetermined vocabulary and grammar

    S. Kicha Ganapathy;Jianying Hu;Jelena Kovacevic;Aleksandra Mojsilovic

  • On the selection of an optimal wavelet basis for texture characterization

    A. Mojsilovic;M.V. Popovic;D.M. Rackov

  • On the selection of an optimal wavelet basis for texture characterization

    A. Mojsilovic;D. Rackov;M. Popovic

  • Capturing image semantics with low-level descriptors

    A. Mojsilovic;B. Rogowitz

  • Extraction of perceptually important colors and similarity measurement for image matching, retrieval and analysis

    A. Mojsilovic;H. Hu;E. Soljanin

  • A computational model for color naming and describing color composition of images

    A. Mojsilovic

  • Characterization of visually similar diffuse diseases from B-scan liver images using nonseparable wavelet transform

    A. Mojsilovic;M. Popovic;S. Markovic;M. Krstic

  • High-utility pattern mining: A method for discovery of high-utility item sets

    Jianying Hu;Aleksandra Mojsilovic

  • Adaptive image segmentation based on color and texture

    Junqing Chen;T.N. Pappas;A. Mojsilovic;B. Rogowitz

  • One-Class Matrix Completion with Low-Density Factorizations

    Vikas Sindhwani;Serhat S. Bucak;Jianying Hu;Aleksandra Mojsilovic

  • Wavelet image extension for analysis and classification of infarcted myocardial tissue

    A. Mojsilovic;M.V. Popovic;A.N. Neskovic;A.D. Popovic

  • Increasing Trust in AI Services through Supplier's Declarations of Conformity

    Michael Hind;Sameep Mehta;Aleksandra Mojsilovic;Ravi Nair

Frequent Co-Authors

Kush R. Varshney
Kush R. Varshney IBM (United States)
Michael Hind
Michael Hind IBM (United States)
Jianying Hu
Jianying Hu IBM (United States)
Jun Wang
Jun Wang University College London
Rachel K. E. Bellamy
Rachel K. E. Bellamy IBM (United States)
Mark S. Squillante
Mark S. Squillante IBM (United States)
Pin-Yu Chen
Pin-Yu Chen IBM (United States)
Roberto Pieraccini
Roberto Pieraccini Google (United States)
Emina Soljanin
Emina Soljanin Rutgers, The State University of New Jersey
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)

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