World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6329
World Ranking
13888
National Ranking
5520

Overview

Joseph Picone is affiliated with Temple University in the United States. Their research primarily spans the fields of Medicine and Neuroscience, focusing on several specialized subfields including Cognitive Neuroscience, Epidemiology, Hepatology, Cardiology and Cardiovascular Medicine, and Artificial Intelligence.

The main topics addressed in their work include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • ECG Monitoring and Analysis
  • Machine Learning in Healthcare
  • Traumatic Brain Injury Research
  • Automotive and Human Injury Biomechanics

Picone's recent publications demonstrate a focus on neurological and biomedical engineering topics with research disseminated across a variety of scientific journals. These publications include:

  • EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer's disease, 2023, Measurement
  • Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data, 2021, EBioMedicine
  • A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System, 2020, IEEE Transactions on Biomedical Engineering
  • A Case of Hepatitis C Related Mixed Cryoglobulinemia Syndrome, 2022, Journal of Community Hospital Internal Medicine Perspectives
  • REPROGRAMMING ZFP189 TRANSCRIPTION FACTOR FUNCTION REGULATES DRUG SPECIFIC BEHAVIORAL RESPONSES AND TRANSCRIPTION, 2023, IBRO Neuroscience Reports

Frequent co-authors collaborating with Picone include:

  • Andrea Cataldo
  • Sabatina Criscuolo
  • Egidio De Benedetto
  • Antonio Masciullo
  • Marisa Pesola

The venues where Picone has published also reflect the interdisciplinary nature of their research, covering both clinical and engineering domains. These include:

  • Measurement
  • EBioMedicine
  • IEEE Transactions on Biomedical Engineering
  • Journal of Community Hospital Internal Medicine Perspectives
  • IBRO Neuroscience Reports

Joseph Picone's work often integrates advanced computational methods such as machine learning with clinical neuroscience applications. This includes exploration of EEG-based diagnostics and the development of wireless sensor systems to monitor brain deformation, reflecting an intersection between medical technology and neuroscience.

Best Publications

  • Signal modeling techniques in speech recognition

    J.W. Picone

  • Continuous speech recognition using hidden Markov models

    J. Picone

  • The Temple University Hospital EEG Data Corpus.

    Iyad Obeid;Joseph Picone

  • Applications of support vector machines to speech recognition

    A. Ganapathiraju;J.E. Hamaker;J. Picone

  • Voice log-in using spoken name input

    Joseph Picone;Barbara J. Wheatley

  • Biomedical Signal Processing

    Unknown

  • Syllable-based large vocabulary continuous speech recognition

    A. Ganapathiraju;J. Hamaker;J. Picone;M. Ordowski

  • Support vector machines for speech recognition

    Aravind Ganapathiraju;Joseph Picone

  • Hybrid SVM/HMM architectures for speech recognition.

    Aravind Ganapathiraju;Jonathan Hamaker;Joseph Picone

  • The Temple University Hospital Seizure Detection Corpus.

    Vinit Shah;Eva von Weltin;Silvia Lopez;James Riley McHugh

  • Towards language independent acoustic modeling

    W. Byrne;P. Beyerlein;J.M. Huerta;S. Khudanpur

  • Voice recognition of proper names using text-derived recognition models

    Barbara J. Wheatley;Joseph W. Picone

  • The TUH EEG CORPUS: A big data resource for automated EEG interpretation

    A. Harati;S. Lopez;I. Obeid;J. Picone

  • Performance analysis of the Aurora large vocabulary baseline system

    N. Parihar;J. Picone;D. Pearce;H. G. Hirsch

  • Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem

    N. Deshmukh;A. Ganapathiraju;J. Picone

  • Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures

    Meysam Golmohammadi;Amir Hossein Harati Nejad Torbati;Silvia Lopez de Diego;Iyad Obeid

  • Resegmentation of SWITCHBOARD.

    Neeraj Deshmukh;Aravind Ganapathiraju;Andi Gleeson;Jonathan Hamaker

  • Recognition of speech under stress and in noise

    P. Rajasekaran;G. Doddington;J. Picone

  • A cluster-based power-efficient MAC scheme for event-driven sensing applications

    Georgios Y. Lazarou;Jing Li;Joseph Picone

  • Vehicle position and performance tracking system using wireless communication

    Ron Lewis;Joe Picone;Zach Rowland;Will Jenkins

  • A phonetic vocoder

    J. Picone;G.R. Doddington

  • Support vector machines for speech recognition.

    Aravind Ganapathiraju;Jonathan Hamaker;Joseph Picone

  • Speaker Verification using Support Vector Machines

    S. Raghavan;G. Lazarou;J. Picone

  • Automated identification of abnormal adult EEGs

    S. Lopez;G. Suarez;D. Jungreis;I. Obeid

Frequent Co-Authors

George R. Doddington
George R. Doddington Texas Instruments (United States)
Mohammad S. Alam
Mohammad S. Alam Texas A&M University – Kingsville
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Katrin Kirchhoff
Katrin Kirchhoff Amazon (United States)
Li Deng
Li Deng Citadel
Ronald A. Cole
Ronald A. Cole Boulder Language Technologies (United States)
Dan Moldovan
Dan Moldovan The University of Texas at Dallas
Sanda M. Harabagiu
Sanda M. Harabagiu The University of Texas at Dallas
William Byrne
William Byrne University of Cambridge

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