Adil Bagirov

Adil Bagirov

Federation University Australia

H-index: 37

Oceania-Australia

About Adil Bagirov

Adil Bagirov, With an exceptional h-index of 37 and a recent h-index of 23 (since 2020), a distinguished researcher at Federation University Australia, specializes in the field of Optimization, Nonsmooth optimization, Global optimization, Data Mining.

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

Finding compact and well-separated clusters: Clustering using silhouette coefficients

Methods and Applications of Clusterwise Linear Regression: A survey and comparison

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression

Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems

A novel optimization approach towards improving separability of clusters

Analysis of the robustness of an optimisation model considering uncertainties in water quality parameters.

Correction to: Analysis of Water Quantity and Quality Trade‑Offs to Inform Selective Harvesting of Inflows in Complex Water Resource Systems

Limited memory bundle method for clusterwise linear regression

Adil Bagirov Information

University

Position

___

Citations(all)

4857

Citations(since 2020)

2048

Cited By

3712

hIndex(all)

37

hIndex(since 2020)

23

i10Index(all)

105

i10Index(since 2020)

52

Email

University Profile Page

Federation University Australia

Google Scholar

View Google Scholar Profile

Adil Bagirov Skills & Research Interests

Optimization

Nonsmooth optimization

Global optimization

Data Mining

Top articles of Adil Bagirov

Title

Journal

Author(s)

Publication Date

Finding compact and well-separated clusters: Clustering using silhouette coefficients

Pattern Recognition

Adil M Bagirov

Ramiz M Aliguliyev

Nargiz Sultanova

2023/3/1

Methods and Applications of Clusterwise Linear Regression: A survey and comparison

ACM Transactions on Knowledge Discovery from Data

Qiang Long

Adil Bagirov

Sona Taheri

Nargiz Sultanova

Xue Wu

2023/2/22

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression

Algorithms

Napsu Karmitsa

Sona Taheri

Kaisa Joki

Pauliina Paasivirta

Adil M Bagirov

...

2023/9/14

Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems

Algorithms

Manlio Gaudioso

Sona Taheri

Adil M Bagirov

Napsu Karmitsa

2023/8/21

A novel optimization approach towards improving separability of clusters

Computers & Operations Research

Adil Bagirov

Najmeh Hoseini-Monjezi

Sona Taheri

2023/4/1

Analysis of the robustness of an optimisation model considering uncertainties in water quality parameters.

Sayani Dey

Andrew Barton

Adil Bagirov

Harpreet Kandra

Kym Wilson

2022/1/28

Correction to: Analysis of Water Quantity and Quality Trade‑Offs to Inform Selective Harvesting of Inflows in Complex Water Resource Systems

Water Resources Management

Dey Sayani

Andrew Barton

Kandra Harpreet

Bagirov Adil

Kym Wilson

2022

Limited memory bundle method for clusterwise linear regression

Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges

Napsu Karmitsa

Adil M Bagirov

Sona Taheri

Kaisa Joki

2022

Robust piecewise linear L1-regression via nonsmooth DC optimization

Optimization Methods and Software

Adil M Bagirov

Sona Taheri

Napsu Karmitsa

Nargiz Sultanova

Soodabeh Asadi

2022/7/4

High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains

BMC biology

Mahdi Zarei

Dan Xie

Fei Jiang

Adil Bagirov

Bo Huang

...

2022/4/11

Special issue dedicated to the 80th birthday of Professor Alexander Rubinov

Optimization

AM Bagirov

RS Burachik

AY Kruger

JE Martinez-Legaz

XQ Yang

2022/4/3

An augmented subgradient method for minimizing nonsmooth DC functions

Computational Optimization and Applications

Adil M Bagirov

Najmeh Hoseini Monjezi

Sona Taheri

2021/11

Multi-objective optimisation to manage trade-offs in water quality and quantity of complex water resource system

Sayani Dey

Andrew Barton

Adil Bagirov

Harpreet Kandra

Kym Wilson

2021/1/1

Subgradient Smoothing Method for Nonsmooth Nonconvex Optimization

Adil M. Bagirov

Nargiz Sultanova

Sona Taheri

Gurkan Ozturk

2021

Analysis of water quantity and quality trade-offs to inform selective harvesting of inflows in complex water resource systems

Water Resources Management

Sayani Dey

Andrew Barton

Harpreet Kandra

Adil Bagirov

Kym Wilson

2021/9

Malware variant identification using incremental clustering

Electronics

Paul Black

Iqbal Gondal

Adil Bagirov

Md Moniruzzaman

2021/7/8

NAOV-2020 Conference Participants

Numerical Analysis and Optimization: NAO-V, Muscat, Oman, January 2020

Adil M Bagirov

Yu-Hong Dai

Francisco Facchinei

Desmond J Higham

Michael Hintermüller

...

2021/12/1

Incremental DC optimization algorithm for large-scale clusterwise linear regression

Journal of Computational and Applied Mathematics

Adil M Bagirov

Sona Taheri

Emre Cimen

2021/6/1

Nonsmooth Optimization-Based Model and Algorithm for Semisupervised Clustering

IEEE Transactions on Neural Networks and Learning Systems

Adil M Bagirov

Sona Taheri

Fusheng Bai

Fangying Zheng

2021/12/1

Aggregate subgradient method for nonsmooth DC optimization

Optimization Letters

Adil M Bagirov

Sona Taheri

Kaisa Joki

Napsu Karmitsa

Marko M Mäkelä

2021/2

See List of Professors in Adil Bagirov University(Federation University Australia)

Co-Authors

H-index: 28
Marko M. Mäkelä

Marko M. Mäkelä

Turun yliopisto

H-index: 27
Janos D. Pinter

Janos D. Pinter

Rutgers, The State University of New Jersey

H-index: 24
Bulent Karasozen

Bulent Karasozen

Orta Dogu Teknik Üniversitesi

H-index: 20
Julien Ugon

Julien Ugon

Deakin University

H-index: 19
Napsu Karmitsa

Napsu Karmitsa

Turun yliopisto

H-index: 16
Andrew Barton

Andrew Barton

Federation University Australia

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