Saad Mohamad

Orcid: 0000-0002-8971-7619

According to our database1, Saad Mohamad authored at least 13 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Do the Right Thing: A Privacy Policy Adherence Analysis of over Two Million Apps in Apple iOS App Store.
Sensors, 2022

Scaling up stochastic gradient descent for non-convex optimisation.
Mach. Learn., 2022

2020
Online active learning for human activity recognition from sensory data streams.
Neurocomputing, 2020

Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data.
Neurocomputing, 2020

Adaptive Experience Selection for Policy Gradient.
CoRR, 2020

Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
Asynchronous Stochastic Variational Inference.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2018

Active learning for classifying data streams with unknown number of classes.
Neural Networks, 2018

Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Scalable online learning for flink: SOLMA library.
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018

2016
Active Learning for Data Streams Under Concept Drift and Concept Evolution.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

2015
A non-parametric hierarchical clustering model.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015


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