World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7710
World Ranking
8795
National Ranking
153

Overview

Martha Larson is affiliated with Radboud University in the Netherlands. Their research spans across Computer Science and Medicine, focusing primarily on Artificial Intelligence, Computer Vision and Pattern Recognition, and medical applications such as Surgery and Infectious Diseases.

The scientist's work centers on several main topics, including:

  • Privacy-Preserving Technologies in Data
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • HIV/AIDS Research and Interventions
  • Recommender Systems and Techniques
  • Advanced Image and Video Retrieval Techniques
  • Privacy, Security, and Data Protection

Recent publications reflect interdisciplinary interests combining technology with health sciences and privacy concerns. Selected papers include:

  • "Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Histotripsy Ablation in Preclinical Animal Models of Cancer and Spontaneous Tumors in Veterinary Patients: A Review" (2021), IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • "Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles" (2021), Information Processing & Management
  • "Bile duct obstruction associated with pancreatitis in 46 dogs" (2020), Journal of Veterinary Internal Medicine
  • "Ultrasound-guided noninvasive pancreas ablation using histotripsy: feasibility study in an in vivo porcine model" (2023), International Journal of Hyperthermia

Co-authorship collaborations include frequent partnerships with Manel Slokom, Stefanie M. DeMonaco, Jessica Villm, Peter-Paul de Wolf, and Katharine Kripke, reflecting multidisciplinary interactions across computing and medical domains.

Frequent venues for their published work include:

  • arXiv (Cornell University)
  • Journal of Veterinary Internal Medicine
  • Veterinary Radiology & Ultrasound
  • Abstracts with programs - Geological Society of America
  • Proceedings of the International AAAI Conference on Web and Social Media

Best Publications

  • Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges

    Yue Shi;Martha Larson;Alan Hanjalic

  • CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • List-wise learning to rank with matrix factorization for collaborative filtering

    Yue Shi;Martha Larson;Alan Hanjalic

  • Proceedings of the 27th ACM International Conference on Multimedia

    Laurent Amsaleg;Benoit Huet;Martha Larson;Martha Larson;Guillaume Gravier

  • TFMAP: optimizing MAP for top-n context-aware recommendation

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • Cross-Domain Collaborative Filtering with Factorization Machines

    Babak Loni;Yue Shi;Martha Larson;Alan Hanjalic

  • Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance

    Zhengyu Zhao;Zhuoran Liu;Martha Larson

  • Bayesian Personalized Ranking with Multi-Channel User Feedback

    Babak Loni;Roberto Pagano;Martha Larson;Alan Hanjalic

  • Automatic tagging and geotagging in video collections and communities

    Martha Larson;Mohammad Soleymani;Pavel Serdyukov;Stevan Rudinac

  • Pairwise geometric matching for large-scale object retrieval

    Xinchao Li;Martha Larson;Alan Hanjalic

  • Mining mood-specific movie similarity with matrix factorization for context-aware recommendation

    Yue Shi;Martha Larson;Alan Hanjalic

  • Tags as bridges between domains: improving recommendation with tag-induced cross-domain collaborative filtering

    Yue Shi;Martha Larson;Alan Hanjalic

  • Crowdsourcing for Affective Annotation of Video: Development of a Viewer-reported Boredom Corpus

    Mohammad Soleymani;Martha Larson

  • The where in the tweet

    Wen Li;Pavel Serdyukov;Arjen P. de Vries;Carsten Eickhoff

  • Mining contextual movie similarity with matrix factorization for context-aware recommendation

    Yue Shi;Martha Larson;Alan Hanjalic

  • Adaptive diversification of recommendation results via latent factor portfolio

    Yue Shi;Xiaoxue Zhao;Jun Wang;Martha Larson

  • Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites

    Yue Shi;Pavel Serdyukov;Alan Hanjalic;Martha A. Larson

  • ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

    Hugo Jair Escalante;Victor Ponce-Lopez;Jun Wan;Michael A. Riegler

  • Using coherence-based measures to predict query difficulty

    Jiyin He;Martha Larson;Maarten De Rijke

  • Spoken Content Retrieval: A Survey of Techniques and Technologies

    Martha Larson;Gareth J. F. Jones

Frequent Co-Authors

Alan Hanjalic
Alan Hanjalic Delft University of Technology
Wessel Kraaij
Wessel Kraaij Leiden University
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)
Mohammad Soleymani
Mohammad Soleymani University of Southern California
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Paolo Cremonesi
Paolo Cremonesi Polytechnic University of Milan
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
Guillaume Gravier
Guillaume Gravier Centre national de la recherche scientifique, CNRS
Pavel Serdyukov
Pavel Serdyukov Yandex (Russia)

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