World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12051
World Ranking
5041
National Ranking
2343

Overview

Jennifer G. Dy is affiliated with Northeastern University in the United States. Their research spans multiple fields, focusing primarily on computer science and medicine, with significant contributions in artificial intelligence and its applications.

The scientist has published extensively in areas including computer vision and pattern recognition, pulmonary and respiratory medicine, electrical and electronic engineering, and biophysics. Their work covers topics such as domain adaptation and few-shot learning, cell image analysis techniques, chronic obstructive pulmonary disease (COPD) research, multimodal machine learning applications, AI in cancer detection, cutaneous melanoma detection and management, and anomaly detection techniques and applications.

Frequent co-authors collaborating with Jennifer G. Dy include Stratis Ioannidis, Aria Masoomi, Zifeng Wang, Kıvanç Köse, and Zulqarnain Khan.

Key publication venues where Jennifer G. Dy's work appears often include arXiv (Cornell University), Scientific Reports, bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Vehicular Technology, and the American Journal of Respiratory and Critical Care Medicine.

Representative recent papers are:

  • Learning to Prompt for Continual Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Learning for RF Fingerprinting: A Massive Experimental Study, 2020, IEEE Internet of Things Magazine
  • More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting, 2020, IEEE Communications Magazine
  • Context-aware experience sampling reveals the scale of variation in affective experience, 2020, Scientific Reports
  • RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms, 2020, IEEE Transactions on Vehicular Technology

Best Publications

  • Feature Selection for Unsupervised Learning

    Jennifer G. Dy;Carla E. Brodley

  • Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

    S. Patel;K. Lorincz;R. Hughes;N. Huggins

  • Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

    James M. Brown;J. Peter Campbell;Andrew Beers;Ken Chang

  • Impact of imputation of missing values on classification error for discrete data

    Alireza Farhangfar;Lukasz Kurgan;Jennifer Dy

  • Active Learning from Crowds

    Yan Yan;Glenn M. Fung;R mer Rosales;Jennifer G. Dy

  • Feature Subset Selection and Order Identification for Unsupervised Learning

    Jennifer G. Dy;Carla E. Brodley

  • Unsupervised feature selection applied to content-based retrieval of lung images

    J.G. Dy;C.E. Brodley;A. Kak;L.S. Broderick

  • Evolving feature selection

    H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola

  • Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting

    Amani Al-Shawabka;Francesco Restuccia;Salvatore D'Oro;Tong Jian

  • Modeling annotator expertise: Learning when everybody knows a bit of something

    Yan Yan;Rómer Rosales;Glenn Fung;Mark W. Schmidt

  • Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment.

    Alex M Aisen;Lynn S Broderick;Helen Winer-Muram;Carla E Brodley

  • A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

    S. Patel;R. Hughes;T. Hester;J. Stein

  • Deep Learning for RF Fingerprinting: A Massive Experimental Study

    Tong Jian;Bruno Costa Rendon;Emmanuel Ojuba;Nasim Soltani

  • Learning from multiple annotators with varying expertise

    Yan Yan;Rómer Rosales;Glenn Fung;Ramanathan Subramanian

  • A hierarchical method for multi-class support vector machines

    Volkan Vural;Jennifer G. Dy

  • VMM-based intrusion detection system

    Micha Moffie;David Kaeli;Aviram Cohen;Javed Aslam

  • Non-redundant Multi-view Clustering via Orthogonalization

    Ying Cui;X.Z. Fern;J.G. Dy

  • In search of deterministic methods for initializing K-means and Gaussian mixture clustering

    Ting Su;Jennifer G. Dy

  • Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

    Travis K Redd;John Peter Campbell;James M Brown;Sang Jin Kim

  • Multiple Non-Redundant Spectral Clustering Views

    Donglin Niu;Jennifer G. Dy;Michael I. Jordan

  • Proceedings of the 2013 SIAM International Conference on Data Mining

    Joydeep Ghosh;Zoran Obradovic;Jennifer Dy;Zhi-Hua Zhou

Frequent Co-Authors

Stratis Ioannidis
Stratis Ioannidis Northeastern University
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Deniz Erdogmus
Deniz Erdogmus Northeastern University
David Kaeli
David Kaeli Northeastern University
Dana H. Brooks
Dana H. Brooks Northeastern University
Glenn Fung
Glenn Fung American Family Insurance
Carla E. Brodley
Carla E. Brodley Northeastern University
Javed A. Aslam
Javed A. Aslam Northeastern University
Kaushik R. Chowdhury
Kaushik R. Chowdhury Northeastern University
Lisa Feldman Barrett
Lisa Feldman Barrett Northeastern University

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