Joseph Picone

Joseph Picone

Temple University

H-index: 41

North America-United States

About Joseph Picone

Joseph Picone, With an exceptional h-index of 41 and a recent h-index of 25 (since 2020), a distinguished researcher at Temple University, specializes in the field of Human Language Technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

EEG Classification Tool: Distinguishing Between Normal and Abnormal Brainwaves

EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease

Signal Processing in Medicine and Biology: Innovations in Big Data Processing

Transformers for Modeling Long-Term Dependencies in Time Series Data: A Review

Towards a More Extensible Machine Learning Demonstration Tool

An Evaluation of SMILE on the TUSZ Corpus

Big Data Resources for Digital Pathology

Correction to: The temple university hospital digital pathology corpus

Joseph Picone Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

8013

Citations(since 2020)

2413

Cited By

6682

hIndex(all)

41

hIndex(since 2020)

25

i10Index(all)

123

i10Index(since 2020)

47

Email

University Profile Page

Temple University

Google Scholar

View Google Scholar Profile

Joseph Picone Skills & Research Interests

Human Language Technology

Top articles of Joseph Picone

Title

Journal

Author(s)

Publication Date

EEG Classification Tool: Distinguishing Between Normal and Abnormal Brainwaves

Masoom J Desai

Joseph Picone

2024

EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease

Measurement

Andrea Cataldo

Sabatina Criscuolo

Egidio De Benedetto

Antonio Masciullo

Marisa Pesola

...

2024/2/15

Signal Processing in Medicine and Biology: Innovations in Big Data Processing

Iyad Obeid

Joseph Picone

Ivan Selesnick

2023/2/9

Transformers for Modeling Long-Term Dependencies in Time Series Data: A Review

S Thundiyil

SS Shalamzari

J Picone

S McKenzie

2023/12/2

Towards a More Extensible Machine Learning Demonstration Tool

B Thai

S McNicholas

SS Shalamzari

P Meng

J Picone

2023/12/2

An Evaluation of SMILE on the TUSZ Corpus

S McNicholas

A Bryant

S McKenzie

M Desai

J Picone

2023/12/2

Big Data Resources for Digital Pathology

SS Shalamzari

M Bagritsevich

A Melles

I Obeid

J Picone

...

2023/12/2

Correction to: The temple university hospital digital pathology corpus

Nabila Shawki

M Golam Shadin

Tarek Elseify

Luke Jakielaszek

Tunde Farkas

...

2022/10/30

Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology

Iyad Obeid

Joseph Picone

Ivan Selesnick

2022/1/1

Evaluation of combined artificial intelligence and neurologist assessment to annotate scalp electroencephalography data

JAMA network open

Thomas Schaffter

Diana SM Buist

Christoph I Lee

Yaroslav Nikulin

Dezső Ribli

...

2020/3/2

Low latency real-time seizure detection using transfer deep learning

Vahid Khalkhali

Nabila Shawki

Vinit Shah

Meysam Golmohammadi

Iyad Obeid

...

2021/12/4

IMLD: A Python-Based Interactive Machine Learning Demonstration

T Cap

A Kreitzer

M Miranda

D Vadimsky

J Picone

2021/12/4

Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data

EBioMedicine

Subhrajit Roy

Isabell Kiral

Mahtab Mirmomeni

Todd Mummert

Alan Braz

...

2021/4/1

The Temple University Digital Pathology Corpus: The Breast Tissue Subset

Z Wevodau

B Doshna

N Jhala

I Akhtar

I Obeid

...

2021/12/4

Biomedical Signal Processing

Iyad Obeid

Ivan Selesnick

Joseph Picone

2021

Recent advances in the TUH EEG corpus: improving the interrater agreement for artifacts and epileptiform events

G Buckwalter

S Chhin

S Rahman

I Obeid

J Picone

2021/12/4

Objective evaluation metrics for automatic classification of EEG events

Biomedical Signal Processing: Innovation and Applications

Vinit Shah

Meysam Golmohammadi

Iyad Obeid

Joseph Picone

2021

On automating hyperparameter optimization for deep learning applications

N Shawki

R Rodriguez Nunez

I Obeid

J Picone

2021/12/4

Deep learning approaches for automated seizure detection from scalp electroencephalograms

Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications

Meysam Golmohammadi

Vinit Shah

Iyad Obeid

Joseph Picone

2020

A machine learning enabled wireless intracranial brain deformation sensing system

IEEE Transactions on Biomedical Engineering

Sayemul Islam

Vinit Shah

Sai Teja Reddy Gidde

Parsaoran Hutapea

Seung Hyun Song

...

2020/12

See List of Professors in Joseph Picone University(Temple University)