Stefan Holban

About Stefan Holban

Stefan Holban, With an exceptional h-index of 14 and a recent h-index of 9 (since 2020), a distinguished researcher at Universitatea Politehnica din Timisoara, specializes in the field of Artificial Intelligence, Data Mining, Modelling and Simulation.

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

A Brief Review of the Most Recent Activation Functions for Neural Networks

Prediction of Machine Temperature System Failure Using a Novel Activation Function

Weather Forecasting Modeling Using Soft-Clipping Swish Activation Function

Soft-clipping swish: A novel activation function for deep learning

Developing Novel Activation Functions in Time Series Anomaly Detection with LSTM Autoencoder

P-swish: Activation function with learnable parameters based on swish activation function in deep learning

Improving the Accuracy of deep neural networks through developing new activation functions

The most used activation functions: Classic versus current

Stefan Holban Information

University

Position

Professor of Computer Science

Citations(all)

943

Citations(since 2020)

370

Cited By

655

hIndex(all)

14

hIndex(since 2020)

9

i10Index(all)

25

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Stefan Holban Skills & Research Interests

Artificial Intelligence

Data Mining

Modelling and Simulation

Top articles of Stefan Holban

Title

Journal

Author(s)

Publication Date

A Brief Review of the Most Recent Activation Functions for Neural Networks

Marina Adriana Mercioni

Stefan Holban

2023/6/9

Prediction of Machine Temperature System Failure Using a Novel Activation Function

Marina Adriana Mercioni

Stefan Holban

2022/11/10

Weather Forecasting Modeling Using Soft-Clipping Swish Activation Function

Marina-Adriana Mercioni

Stefan Holban

2022/5/25

Soft-clipping swish: A novel activation function for deep learning

Marina Adriana Mercioni

Stefan Holban

2021/5/19

Developing Novel Activation Functions in Time Series Anomaly Detection with LSTM Autoencoder

Marina Adriana Mercioni

Stefan Holban

2021/5/19

P-swish: Activation function with learnable parameters based on swish activation function in deep learning

Marina Adriana Mercioni

Stefan Holban

2020/11/5

Improving the Accuracy of deep neural networks through developing new activation functions

Marina Adriana Mercioni

Angel Marcel Tat

Stefan Holban

2020/9/3

The most used activation functions: Classic versus current

Marina Adriana Mercioni

Stefan Holban

2020/5/21

Hierarchical clustering for image classification in dermatology: Towards mobile deploying

Miruna D Ciulu

Stefan Holban

Diana Lungeanu

2020

See List of Professors in Stefan Holban University(Universitatea Politehnica din Timisoara)