On the Measurement and Analysis of Safety in a Large City. - Rami Ibrahim; M. Omair Shafiq (DASC/PiCom/DataCom/CyberSciTech, 2017)

Measurement and analysis of citizens requests to government for non-emergency services. - Rami Ibrahim; M. Omair Shafiq (ICDIM, 2017)

MapReduce Based Classification for Fault Detection in Big Data Applications. - M. Omair Shafiq; Maryam Fekri; Rami Ibrahim (ICMLA, 2017)

SensArt Demo: A Multisensory Prototype for Engaging with Visual Art. - Daniella Briotto Faustino; Sandra Gabriele; Rami Ibrahim; Anna-Lena Theus; Audrey Girouard (ISS, 2017)

Towards a New Approach to Empower Periodic Pattern Mining for Massive Data using Map-Reduce. - Rami Ibrahim; M. Omair Shafiq (IEEE BigData, 2018)

Towards a New Approach for Empowering the MR-DBSCAN Clustering for Massive Data Using Quadtree. - Rami Ibrahim; M. Omair Shafiq (HPCC/SmartCity/DSS, 2018)

Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips. - Rami Ibrahim; M. Omair Shafiq (ICDIM, 2018)

On Predicting Taxi Movements Modes in Porto City Using Classification and Periodic Pattern Mining. - Rami Ibrahim; M. Omair Shafiq (HPCC/SmartCity/DSS, 2019)

Extended results from the measurement and analysis of safety in a large city. - Rami Ibrahim; M. Omair Shafiq (Int. J. Big Data Intell., 2019)

Detecting taxi movements using Random Swap clustering and sequential pattern mining. - Rami Ibrahim; M. Omair Shafiq (J. Big Data, 2019)

Augmented Score-CAM: High resolution visual interpretations for deep neural networks. - Rami Ibrahim; M. Omair Shafiq (Knowl. Based Syst., 2022)

Explainable Convolutional Neural Networks: A Taxonomy, Review, and Future Directions. - Rami Ibrahim; M. Omair Shafiq (ACM Comput. Surv., 2023)