Olfa Nasraoui

Olfa Nasraoui

University of Louisville

H-index: 44

North America-United States

About Olfa Nasraoui

Olfa Nasraoui, With an exceptional h-index of 44 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Louisville, specializes in the field of Machine Learning & Artificial Intelligence, Ethics & Fairness in AI, data mining, clustering algorithms, Recommender Systems.

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

ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

Human Variability and the Explore–Exploit Trade‐Off in Recommendation

Enhancing Explainable Matrix Factorization with Tags for Multi-Style Explanations

In-Training Explainability Frameworks: A Method to Make Black-Box Machine Learning Models More Explainable

Board 313: Implementing Computational Thinking Strategies across the Middle/High Science Curriculum

Interpretable Multi-criteria ABC analysis based on semi-supervised clustering and Explainable Artificial Intelligence

An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification

Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers

Olfa Nasraoui Information

University

Position

Professor of Computer Engineering and Computer Science Louisville KY

Citations(all)

7854

Citations(since 2020)

1993

Cited By

9862

hIndex(all)

44

hIndex(since 2020)

21

i10Index(all)

121

i10Index(since 2020)

42

Email

University Profile Page

University of Louisville

Google Scholar

View Google Scholar Profile

Olfa Nasraoui Skills & Research Interests

Machine Learning & Artificial Intelligence

Ethics & Fairness in AI

data mining

clustering algorithms

Recommender Systems

Top articles of Olfa Nasraoui

Title

Journal

Author(s)

Publication Date

ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

arXiv preprint arXiv:2401.03605

Kyle Dylan Spurlock

Cagla Acun

Esin Saka

Olfa Nasraoui

2024/1/7

Human Variability and the Explore–Exploit Trade‐Off in Recommendation

Cognitive Science

Scott Cheng‐Hsin Yang

Chirag Rank

Jake A Whritner

Olfa Nasraoui

Patrick Shafto

2023/4

Enhancing Explainable Matrix Factorization with Tags for Multi-Style Explanations

Olurotimi Seton

Pegah Sagheb Haghighi

Mohammed Alshammari

Olfa Nasraoui

2023

In-Training Explainability Frameworks: A Method to Make Black-Box Machine Learning Models More Explainable

Cagla Acun

Olfa Nasraoui

2023/10/26

Board 313: Implementing Computational Thinking Strategies across the Middle/High Science Curriculum

Thomas Tretter

Olfa Nasraoui

Kyle Dylan Spurlock

Breanna Graven

2023/6/25

Interpretable Multi-criteria ABC analysis based on semi-supervised clustering and Explainable Artificial Intelligence

IEEE Access

Alaa A Qaffas

MA Ben Hajkacem

CE Ben Ncir

Olfa Nasraoui

2023/5/2

An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification

Genome Biology

Jareth C Wolfe

Liudmila A Mikheeva

Hani Hagras

Nicolae Radu Zabet

2021/12

Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers

Khalil Damak

Sami Khenissi

Olfa Nasraoui

2022/8/14

A framework for unbiased explainable pairwise ranking for recommendation

Software Impacts

Khalil Damak

Sami Khenissi

Olfa Nasraoui

2022/2/1

Tag-boosted Explainable Matrix Factorization Methods for Multi-style Explanations

Olurotimi Seton

Pegah Sagheb Haghighi

Mohammed Alshammari

Olfa Nasraoui

2021

Debiased explainable pairwise ranking from implicit feedback

Khalil Damak

Sami Khenissi

Olfa Nasraoui

2021/9/13

Sequence-based explainable hybrid song recommendation

Frontiers in big Data

Khalil Damak

Olfa Nasraoui

William Scott Sanders

2021/7/28

Research Experience for Teachers: Teachers as Learners and Facilitators

Stephanie Philipp

Olfa Nasraoui

Jason Immekus

Jody Zhong

2021/7/26

Robust kernels for robust location estimation

Neurocomputing

Joseph A Gallego

Fabio A González

Olfa Nasraoui

2021/3/14

PaRIS: Polarization-aware recommender interactive system

Proceedings of the 2nd Workshop on Online Misinformation-and Harm-Aware Recommender Systems (OHARS 2021), Amsterdam, Netherlands

Mahsa Badami

Olfa Nasraoui

2021

User polarization aware matrix factorization for recommendation systems

Proceedings of the 2nd Workshop on Online Misinformation-and Harm-Aware Recommender Systems (OHARS 2021), Amsterdam, Netherlands

W Sun

O Nasraoui

2021

Theoretical modeling of the iterative properties of user discovery in a collaborative filtering recommender system

Sami Khenissi

Boujelbene Mariem

Olfa Nasraoui

2020/9/22

Unifying recommendation and active learning for information filtering and recommender systems

Scott Cheng-Hsin Yang

Chirag Rank

Jake Whritner

Olfa Nasraoui

Patrick Shafto

2020/8/25

Robot failure mode prediction with explainable machine learning

Aneseh Alvanpour

Sumit Kumar Das

Christopher Kevin Robinson

Olfa Nasraoui

Dan Popa

2020/8/20

Evolution and impact of bias in human and machine learning algorithm interaction

Plos one

Wenlong Sun

Olfa Nasraoui

Patrick Shafto

2020/8/13

See List of Professors in Olfa Nasraoui University(University of Louisville)