Identification and Classification of Alcohol-Related Violence in Nova Scotia Using Machine Learning Paradigms. - Fateha Khanam Bappee (Canadian AI, 2017)

Predicting Crime Using Spatial Features. - Fateha Khanam Bappee; Amílcar Soares Júnior 001; Stan Matwin (Canadian AI, 2018)

Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. - Fateha Khanam Bappee; Lucas May Petry; Amílcar Soares Júnior 001; Stan Matwin (CoRR, 2020)

Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis. - Muhammad Sakib Khan Inan; Rubaiath E. Ulfath; Fahim Irfan Alam; Fateha Khanam Bappee; Rizwan Hasan (CCWC, 2021)

Examining the impact of cross-domain learning on crime prediction. - Fateha Khanam Bappee; Amílcar Soares 001; Lucas May Petry; Stan Matwin (J. Big Data, 2021)

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. - Bruno Brandoli; Alessandra Raffaetà; Marta Simeoni; Pedram Adibi; Fateha Khanam Bappee; Fabio Pranovi; Giulia Rovinelli; Elisabetta Russo; Claudio Silvestri; Amílcar Soares 001; Stan Matwin (GeoInformatica, 2022)

Person Re-Identification with RGB-D and RGB-IR Sensors: A Comprehensive Survey. - Md. Kamal Uddin; Amran Bhuiyan; Fateha Khanam Bappee; Md Matiqul Islam; Mahmudul Hasan 004 (Sensors, 2023)