Muesluem (Müslüm) Atas

About Muesluem (Müslüm) Atas

Muesluem (Müslüm) Atas, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Mobile SW Development, Recommender systems, Configuration systems, Machine Learning.

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

Group recommender systems: An introduction

Further choice scenarios

Decision tasks and basic algorithms

Biases in Group Decisions

Group Recommender Applications

Algorithms for group recommendation

Privacy leak identification in third-party android libraries

An overview of machine learning techniques in constraint solving

Muesluem (Müslüm) Atas Information

University

Position

PostDoc Institute of Software Technology

Citations(all)

818

Citations(since 2020)

761

Cited By

294

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

21

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Muesluem (Müslüm) Atas Skills & Research Interests

Mobile SW Development

Recommender systems

Configuration systems

Machine Learning

Top articles of Muesluem (Müslüm) Atas

Group recommender systems: An introduction

2024/1

Decision tasks and basic algorithms

2023/9/23

Privacy leak identification in third-party android libraries

2022/2/26

An overview of machine learning techniques in constraint solving

2022/2

Applying matrix factorization to consistency-based direct diagnosis

Applied Intelligence

2022/4

Explanations for over-constrained problems using QuickXPlain with speculative executions

Journal of Intelligent Information Systems

2021/12

Towards psychology-aware preference construction in recommender systems: Overview and research issues

2021/12

Do users appreciate explanations of recommendations? An analysis in the movie domain

2021/9/13

Predicting answers in preference elicitation dialogs

CEUR Workshop Proceedings

2021/9

DirectDebug: A software package for the automated testing and debugging of feature models

Software Impacts

2021/8/1

KNOWLEDGECHECKR: Intelligent techniques for counteracting forgetting

arXiv preprint arXiv:2102.07825

2021/2/15

An overview of recommender systems and machine learning in feature modeling and configuration

2021/2/9

Counteracting Exam Cheating by Leveraging Configuration and Recommendation Techniques.

2021/9

A Parallelized Variant of Junker’s QuickXPlain Algorithm

2020

Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems

2020

See List of Professors in Muesluem (Müslüm) Atas University(Technische Universität Graz)

Co-Authors

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