Aviv Segev

Aviv Segev

University of South Alabama

H-index: 19

North America-United States

About Aviv Segev

Aviv Segev, With an exceptional h-index of 19 and a recent h-index of 14 (since 2020), a distinguished researcher at University of South Alabama, specializes in the field of Knowledge Modeling, Knowledge Processing, Knowledge Mapping.

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

A Comparison of Methods for Neural Network Aggregation

Priority Basis Task Allocation for Drone Swarms

Neural network structure simplification by assessing evolution in node weight magnitude

Common knowledge processing patterns in networks of different systems

Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution

Optimizing the Descendant-Aware Clustering Parameters

Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection

DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction

Aviv Segev Information

University

Position

___

Citations(all)

1490

Citations(since 2020)

664

Cited By

1110

hIndex(all)

19

hIndex(since 2020)

14

i10Index(all)

29

i10Index(since 2020)

18

Email

University Profile Page

University of South Alabama

Google Scholar

View Google Scholar Profile

Aviv Segev Skills & Research Interests

Knowledge Modeling

Knowledge Processing

Knowledge Mapping

Top articles of Aviv Segev

Title

Journal

Author(s)

Publication Date

A Comparison of Methods for Neural Network Aggregation

arXiv preprint arXiv:2303.03488

John Pomerat

Aviv Segev

2023/3/6

Priority Basis Task Allocation for Drone Swarms

Kolitha Warnakulasooriya

Ryan G Benton

Aviv Segev

2023

Neural network structure simplification by assessing evolution in node weight magnitude

Machine Learning

Ralf Riedel

Aviv Segev

2023/12/20

Common knowledge processing patterns in networks of different systems

Plos one

Aviv Segev

Sukhwan Jung

2023/10/5

Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution

Sukhwan Jung

Aviv Segev

2022/12/17

Optimizing the Descendant-Aware Clustering Parameters

Sukhwan Jung

Aviv Segev

2022/12/17

Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection

Abhishek Kumar

Aviv Segev

2022/12/17

DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction

Journal of Informetrics

Sukhwan Jung

Aviv Segev

2022/8/1

Analyzing the generalizability of the network-based topic emergence identification method

Semantic Web

Sukhwan Jung

Aviv Segev

2022/1/1

Identifying a common pattern within ancestors of emerging topics for pan-domain topic emergence prediction

Knowledge-Based Systems

Sukhwan Jung

Aviv Segev

2022/12/22

CLASSIFICATION OF COMPUTER HARDWARE AND PERFORMANCE PREDICTION USING STATISTICAL LEARNING AND NEURAL NETWORKS

Proceeding of International Conference on Artificial Intelligence and Machine Learning

Courtney Foots

Palash Pal

Rituparna Datta

Aviv Segev

2020

An Automatic Classification of the Primary and the Corresponding Authors in Research Articles

Sukhwan Jung

Rituparna Datta

Aviv Segev

2020

TermBall: tracking and predicting evolution types of research topics by using knowledge structures in scholarly big data

IEEE Access

Christine Balili

Uichin Lee

Aviv Segev

Jaejeung Kim

Minsam Ko

2020/6/8

A neural net based prediction of sound pressure level for the design of the aerofoil

Palash Pal

Rituparna Datta

Deepak Rajbansi

Aviv Segev

2020

Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics

Sukhwan Jung

Rituparna Datta

Aviv Segev

2020

Neuronless knowledge processing in forests

Applied Sciences

Aviv Segev

Dorothy Curtis

Christine Balili

Sukhwan Jung

2020/4/5

Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling

Shree Ram Pandey

Rituparna Datta

Aviv Segev

Bishakh Bhattacharya

2020

Failing And Not Falling (F&! F): Data-Enabled Classification Learning of Aircraft Accidents and Incidents

Jarrod Carson

Kane Hollingsworth

Rituparna Datta

Aviv Segev

2020

Animal Behavior Prediction with Long Short-Term Memory

Henry Roberts

Aviv Segev

2020

Finding informative comments for video viewing

SN Computer Science

Seungwoo Choi

Aviv Segev

2020/1

See List of Professors in Aviv Segev University(University of South Alabama)