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Dr. Vahid Mirjalili
Dr. Vahid Mirjalili
Senior Data Scientist
Verified email at fmglobal.com
Title
Cited by
Cited by
Year
Python Machine Learning, 2nd Ed.
S Raschka, V Mirjalili
Packt Publishing, 2017
4461*2017
Rank consistent ordinal regression for neural networks with application to age estimation
W Cao, V Mirjalili, S Raschka
Pattern Recognition Letters 140, 325-331, 2020
4272020
ASD-DiagNet: a hybrid learning approach for detection of autism spectrum disorder using fMRI data
T Eslami, V Mirjalili, A Fong, AR Laird, F Saeed
Frontiers in neuroinformatics 13, 70, 2019
4182019
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
S Raschka, YH Liu, V Mirjalili
Packt Publishing Ltd, 2022
3682022
PrivacyNet: Semi-adversarial networks for multi-attribute face privacy
V Mirjalili, S Raschka, A Ross
IEEE Transactions on Image Processing 29, 9400-9412, 2020
1512020
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
V Mirjalili, S Raschka, A Namboodiri, A Ross
11th IAPR International Conference on Biometrics (ICB 2018), 2018
1462018
Physics‐based protein structure refinement through multiple molecular dynamics trajectories and structure averaging
V Mirjalili, K Noyes, M Feig
Proteins: Structure, Function, and Bioinformatics 82, 196-207, 2014
1202014
Soft biometric privacy: Retaining biometric utility of face images while perturbing gender
V Mirjalili, A Ross
International Joint Conference on Biometrics (IJCB 2017), 2017
1112017
Protein structure refinement through structure selection and averaging from molecular dynamics ensembles
V Mirjalili, M Feig
Journal of chemical theory and computation 9 (2), 1294-1303, 2013
1102013
Some research problems in biometrics: The future beckons
A Ross, S Banerjee, C Chen, A Chowdhury, V Mirjalili, R Sharma, ...
2019 international conference on biometrics (ICB), 1-8, 2019
932019
Direct simulation Monte Carlo solution of subsonic flow through micro/nanoscale channels
E Roohi, M Darbandi, V Mirjalili
Journal of heat transfer 131 (9), 2009
922009
Protein structure refinement via molecular‐dynamics simulations: what works and what does not?
M Feig, V Mirjalili
Proteins: Structure, Function, and Bioinformatics 84, 282-292, 2016
872016
Python machine learning
V Mirjalili, S Raschka
Marcombo, 2020
782020
Python 機械学習プログラミング
S Raschka, Y Liu, V Mirjalili
(No Title), 2018
75*2018
Gender privacy: An ensemble of semi adversarial networks for confounding arbitrary gender classifiers
V Mirjalili, S Raschka, A Ross
2018 IEEE 9th International Conference on Biometrics Theory, Applications …, 2018
702018
Flowsan: Privacy-enhancing semi-adversarial networks to confound arbitrary face-based gender classifiers
V Mirjalili, S Raschka, A Ross
IEEE Access 7, 99735-99745, 2019
642019
Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow
S Raschka, V Mirjalili
UK: Packt Publishing 189, 195, 2017
542017
Python machine learning: aprendizaje automático y aprendizaje profundo con Python, scikit-learn y TensorFlow
S Raschka, V Mirjalili
Marcombo, 2019
382019
Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn: das umfassende Praxis-Handbuch für data science, deep learning und predictive analytics
S Raschka, V Mirjalili
MITP-Verlags GmbH & Co. KG, 2021
302021
Inverse biometrics: Generating vascular images from binary templates
C Kauba, S Kirchgasser, V Mirjalili, A Uhl, A Ross
IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (4), 464-478, 2021
262021
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