World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12099
World Ranking
7049
National Ranking
3094

Research.com Recognitions

  • 2004 - IEEE Fellow For contributions to time-varying spectral analysis and acoustical signal processing.

Overview

Les Atlas is affiliated with the University of Washington in the United States. Their research spans multiple publications within the fields of Neuroscience and Computer Science, with a focus on subfields such as Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Computer Networks and Communications, and Experimental and Cognitive Psychology.

The scientist's research interests are reflected in topics that include:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Blind Source Separation Techniques
  • Distributed Sensor Networks and Detection Algorithms
  • Wireless Signal Modulation Classification
  • Hearing Loss and Rehabilitation

Les Atlas has contributed to several papers including:

  • Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • Improving the performance of the Bartlett method for single-snapshot direction-of-arrival (DOA) estimation using signal processing on graphs (SPG), 2020, The Journal of the Acoustical Society of America
  • Do humans integrate auditory and text information in a statistically optimal fashion?, 2021, The Journal of the Acoustical Society of America
  • Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML), 2022, arXiv (Cornell University)
  • Estimating and Analyzing Neural Information Flow Using Signal Processing on Graphs, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Les Atlas include:

  • Felix Schwock
  • Shima Abadi
  • Mert Pilancı
  • Julien Bloch
  • Karam Khateeb

Les Atlas has published predominantly in venues such as:

  • arXiv (Cornell University)
  • The Journal of the Acoustical Society of America
  • bioRxiv (Cold Spring Harbor Laboratory)

In recognition of professional contributions, Les Atlas was awarded the IEEE Fellow honor in 2004 for work related to time-varying spectral analysis and acoustical signal processing.

Best Publications

  • Electric load forecasting using an artificial neural network

    D.C. Park;M.A. El-Sharkawi;R.J. Marks;L.E. Atlas

  • Improving Generalization with Active Learning

    David Cohn;Les Atlas;Richard Ladner

  • Recurrent neural networks and robust time series prediction

    J.T. Connor;R.D. Martin;L.E. Atlas

  • The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals

    Y. Zhao;L.E. Atlas;R.J. Marks

  • Training Connectionist Networks with Queries and Selective Sampling

    Les E. Atlas;David A. Cohn;Richard E. Ladner

  • The challenge of spoken language systems: Research directions for the nineties

    R. Cole;L. Hirschman;L. Atlas;M. Beckman

  • Full-capacity unitary recurrent neural networks

    Scott Wisdom;Thomas Powers;John R. Hershey;Jonathan Le Roux

  • Joint acoustic and modulation frequency

    Les Atlas;Shihab A. Shamma

  • Construction of positive time-frequency distributions

    P.J. Loughlin;J.W. Pitton;L.E. Atlas

  • A performance comparison of trained multilayer perceptrons and trained classification trees

    L. Atlas;J. Connor;D. Park;M. El-Sharkawi

  • Hidden Markov models for monitoring machining tool-wear

    L. Atlas;M. Ostendorf;G.D. Bernard

  • A performance comparison of trained multilayer perceptrons and trained classification trees

    L. Atlas;R. Cole;Y. Muthusamy;A. Lippman

  • Bilinear time-frequency representations: new insights and properties

    P.J. Loughlin;J.W. Pitton;L.E. Atlas

  • Optimizing time-frequency kernels for classification

    B.W. Gillespie;L.E. Atlas

  • Modulation-scale analysis for content identification

    S. Sukittanon;L.E. Atlas;J.W. Pitton

  • Self-organizing feature maps and hidden Markov models for machine-tool monitoring

    L.M.D. Owsley;L.E. Atlas;G.D. Bernard

  • Coherent envelope detection for modulation filtering of speech

    S. Schimmel;L. Atlas

  • Recurrent neural networks and time series prediction

    J. Connor;L. Atlas

  • Recurrent Networks and NARMA Modeling

    Jerome Connor;Les E. Atlas;Douglas R. Martin

  • Scalable and progressive audio codec

    M.S. Vinton;L.E. Atlas

Frequent Co-Authors

Robert J. Marks
Robert J. Marks Baylor University
Jasha Droppo
Jasha Droppo Amazon (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Howard Jay Chizeck
Howard Jay Chizeck University of Washington
Richard E. Ladner
Richard E. Ladner University of Washington
Mohamed A. El-Sharkawi
Mohamed A. El-Sharkawi University of Washington
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Mark A. Clements
Mark A. Clements Georgia Institute of Technology
Fei Sha
Fei Sha Facebook (United States)

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