Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

11 January 2021

Papers citing "Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities"

20 / 20 papers shown

Title
Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules Abdallah Moubayed MohammadNoor Injadat Abdallah Shami H. Lutfiyya 103 39 0 25 Dec 2020
DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning Based Approach Abdallah Moubayed MohammadNoor Injadat Abdallah Shami H. Lutfiyya AAML 45 44 0 25 Dec 2020
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach MohammadNoor Injadat Abdallah Moubayed Abdallah Shami 57 50 0 16 Dec 2020
Optimized Random Forest Model for Botnet Detection Based on DNS Queries Abdallah Moubayed MohammadNoor Injadat Abdallah Shami 50 20 0 16 Dec 2020
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 73 168 0 09 Aug 2020
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection MohammadNoor Injadat F. Salo Ali Bou Nassif A. Essex Abdallah Shami AAML 44 124 0 05 Aug 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 195 2,119 0 30 Jul 2020
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 76 70 0 09 Jun 2020
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection Abdallah Moubayed Emad Aqeeli Abdallah Shami 50 25 0 08 Jun 2020
Systematic Ensemble Model Selection Approach for Educational Data Mining MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 59 127 0 13 May 2020
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles Li Yang Abdallah Moubayed Ismail Hamieh Abdallah Shami 42 154 0 18 Oct 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 85 2,332 0 13 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 126 2,675 0 04 Feb 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,423 0 03 Dec 2018
A generic framework for privacy preserving deep learning Wenbo Guo Yunzhe Tao Morten Dahl Sui Huang Masashi Sugiyama Daniel Rueckert Lin Lin FedML 104 437 0 09 Nov 2018
Predicting drug response of tumors from integrated genomic profiles by deep neural networks Yu-Chiao Chiu Haotian Chen Tinghe Zhang Song-Seon Zhang Aparna Gorthi Li-Ju Wang Yufei Huang Yidong Chen 36 179 0 20 May 2018
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset Abien Fred Agarap 78 232 0 20 Nov 2017
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography Li Shen L. Margolies J. Rothstein Eugene Fluder R. McBride W. Sieh MedIm 55 767 0 30 Aug 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 312 4,657 0 18 Oct 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification Jiang Wang Yi Yang Junhua Mao Zhiheng Huang Chang Huang Wenyuan Xu SSL 98 1,163 0 15 Apr 2016