- The KIT-30 dataset is available at https://gitlab.com/mmaakh/kit-30.git. A dataset with 30 authors, with the purpose of evaluating the accuracy of author identification models against the Emirati tweets domain. The dataset contains additional languages to facilitate preliminary comparisons.
- The feature extraction library, Fextractor, available at https://gitlab.com/mmaakh/fextractor.git.
- The evaluation code for the paper: Evaluating Author Attribution on Emirati Tweets, IEEE Access, vol. 8, pp. 149531-149543, August 2020. https://gitlab.com/mmaakh/stylometry-survey-evaluation
- Reproducibility files for the paper: “A study of feature subset evaluators and feature subset searching methods for phishing classification”. http://khonji.org/phishing_studies.html
- Artest - a statistical significance tester for Area Under Curve (AUC) by using Approximate Randomization (AR) that we used as a tool to test for statistical significance in one of our papers. The tool is released under GPLv2. https://github.com/mmaakh/artest
- ”KECI Action Recognition Skeletal Dataset From Two Views”. http://kecidev.kaist.ac.kr/KECI_TwoViews_Skeletal_Dataset.html
- WUCLP: Waterloo User Controlled Lightpaths. WUCLP is a distributed application that allows a user to manage a set of lightpaths he/she owns. The interaction with the software can be done either through a web-based interface or through a GRID interface. Among other things, the user is able to establish lightpaths, lease, partition, and tear them down. This is done in a secure environment and independently of the underlying equipment. A life version of WU-CLP was running on CANARIE’s Canada-wide optical network. I was the project coordinator and have made significant contribution to the design and development of the WUCLP software. http://uclp.uwaterloo.ca/
