Raziyeh Zall

About Raziyeh Zall

Raziyeh Zall, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Iran University of Science and Technology, specializes in the field of Machine learning, Data science, Intelligent agents, Affective Computing.

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

EmoDNN: Understanding emotions from short texts through a deep neural network ensemble

Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects

Comparative analytical survey on cognitive agents with emotional intelligence

Raziyeh Zall Information

University

Position

PHD candidate

Citations(all)

110

Citations(since 2020)

96

Cited By

32

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Raziyeh Zall Skills & Research Interests

Machine learning

Data science

Intelligent agents

Affective Computing

Top articles of Raziyeh Zall

EmoDNN: Understanding emotions from short texts through a deep neural network ensemble

Neural Computing and Applications

2023/6

Raziyeh Zall
Raziyeh Zall

H-Index: 3

Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects

Knowledge-Based Systems

2023/2/15

Raziyeh Zall
Raziyeh Zall

H-Index: 3

Comparative analytical survey on cognitive agents with emotional intelligence

2022/7

Raziyeh Zall
Raziyeh Zall

H-Index: 3

Mohammad Reza Kangavari
Mohammad Reza Kangavari

H-Index: 9

See List of Professors in Raziyeh Zall University(Iran University of Science and Technology)

Co-Authors

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