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Journal Articles
- 2022
[j6]Saad Mohamad, Hamad Alamri, Abdelhamid Bouchachia
:
Scaling up stochastic gradient descent for non-convex optimisation. Mach. Learn. 111(11): 4039-4079 (2022)- [j5]Hamad Alamri, Carsten Maple, Saad Mohamad, Gregory Epiphaniou:
Do the Right Thing: A Privacy Policy Adherence Analysis of over Two Million Apps in Apple iOS App Store. Sensors 22(22): 8964 (2022) - 2020
- [j4]Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
Online active learning for human activity recognition from sensory data streams. Neurocomputing 390: 341-358 (2020) - [j3]Saad Mohamad, Abdelhamid Bouchachia:
Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data. Neurocomputing 390: 359-373 (2020) - 2018
- [j2]Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
Active learning for classifying data streams with unknown number of classes. Neural Networks 98: 1-15 (2018) - [j1]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29(1): 74-86 (2018)
Conference and Workshop Papers
- 2020
- [c6]Saad Mohamad, Abdelhamid Bouchachia:
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. ICMLA 2020: 41-48 - 2019
- [c5]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
Asynchronous Stochastic Variational Inference. INNSBDDL 2019: 296-308 - 2018
- [c4]Waqas Jamil, N.-C. Duong, W. Wang, Chemseddine Mansouri, Saad Mohamad, Abdelhamid Bouchachia:
Scalable online learning for flink: SOLMA library. ECSA (Companion) 2018: 33:1-33:4 - [c3]Saad Mohamad, Damla Arifoglu, Chemseddine Mansouri, Abdelhamid Bouchachia:
Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data. UKCI 2018: 276-290 - 2016
- [c2]Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
Active Learning for Data Streams Under Concept Drift and Concept Evolution. STREAMEVOLV@ECML-PKDD 2016 - 2015
- [c1]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
A non-parametric hierarchical clustering model. EAIS 2015: 1-7
Informal and Other Publications
- 2022
- [i4]Saad Mohamad, Hamad Alamri, Abdelhamid Bouchachia:
Scaling up Stochastic Gradient Descent for Non-convex Optimisation. CoRR abs/2210.02882 (2022) - 2020
- [i3]Saad Mohamad, Giovanni Montana:
Adaptive Experience Selection for Policy Gradient. CoRR abs/2002.06946 (2020) - 2019
- [i2]Saad Mohamad, Abdelhamid Bouchachia:
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. CoRR abs/1910.11599 (2019) - 2018
- [i1]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
Asynchronous Stochastic Variational Inference. CoRR abs/1801.04289 (2018)
Coauthor Index
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