Fadoua Khmaissia

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Hichem FriguiProfessor, CECS University of LouisvilleVerified email at louisville.edu
Madhu MenonConn Center, University of Louisville and Adjunct Professor of Physics, University of KentuckyVerified email at g.uky.edu
Jacek JasinskiConn Center for Renewable Energy Research, University of LouisvilleVerified email at louisville.edu
Mahendra K SunkaraDirector, Conn Center for Renewable Energy Research; Professor of Chemical Eng., U of LouisvilleVerified email at louisville.edu
Alejandro Martinez GarciaIntel Corp.Verified email at intel.com
Freddy T. Nguyen, M.D., Ph.D.Research Fellow, MITVerified email at mit.edu
Yuan LaiTsinghua University Asst. Professor in Urban Science and PlanningVerified email at tsinghua.edu.cn
Sokratis PapadopoulosData @ MiroVerified email at nyu.edu
Pegah Sagheb HaghighiUniversity of LouisvilleVerified email at louisville.edu
Andrew KaremUniversity of LouisvilleVerified email at louisville.edu

Fadoua Khmaissia

PhD, ML Research scientist, Nokia Bell Labs | Ex. Apple, Intuit, University of Louisville

Verified email at nokia-bell-labs.com - Homepage

Machine learning Semi-supervised learning Computer Vision AI for Social good AI for Climate Change


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Accelerating band gap prediction for solar materials using feature selection and regression techniques F Khmaissia, H Frigui, M Sunkara, J Jasinski, AM Garcia, T Pace, ... Computational Materials Science 147, 304-315, 2018	20	2018
An unsupervised machine learning approach to assess the zip code level impact of covid-19 in nyc F Khmaissia, PS Haghighi, A Jayaprakash, Z Wu, S Papadopoulos, Y Lai, ... arXiv preprint arXiv:2006.08361, 2020	10	2020
Data driven modeling of magnetism in dilute magnetic semiconductors: correlation between the magnetic features of diluted magnetic semiconductors and electronic properties of … F Khmaissia, H Frigui, AN Andriotis, M Menon Journal of Physics: Condensed Matter 31 (44), 445901, 2019	10	2019
Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms I Bouzateur, MA Ouali, H Bennacer, M Ladjal, F Khmaissia, ... Materials Today Communications 37, 107021, 2023		2023
Multiple input machine learning framework for anomaly detection K Fadoua, F Efraim David, D Preeti US Patent US20230132720A1, 2023		2023
Guided data augmentation for improved semi-supervised image classification in low data regime. F Khmaissia		2023
Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised Learning and Generative Data Augmentation F Khmaissia, H Frigui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023		2023
Confidence-Guided Data Augmentation for Improved Semi-Supervised Training F Khmaissia, H Frigui arXiv preprint arXiv:2209.08174, 2022		2022
Confidence-Guided Data Augmentation for Deep Semi-Supervised Training. F Khmaissia, H Frigui CoRR, 2022		2022
Feature extraction for predicting the probability of detecting buried explosive objects using GPR data H Frigui, F Khmaissia, A Karem Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV …, 2019		2019
Data driven discovery of materials properties. F Khmaissia		2017

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