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ORCIDFateha Khanam Bappee
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2020 – today
- 2023
[j3]Md. Kamal Uddin
, Amran Bhuiyan, Fateha Khanam Bappee, Md Matiqul Islam, Mahmudul Hasan:
Person Re-Identification with RGB-D and RGB-IR Sensors: A Comprehensive Survey. Sensors 23(3): 1504 (2023)- 2022
- [j2]Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amílcar Soares, Stan Matwin:
From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. GeoInformatica 26(4): 551-579 (2022) - 2021
- [j1]Fateha Khanam Bappee, Amílcar Soares, Lucas May Petry, Stan Matwin:
Examining the impact of cross-domain learning on crime prediction. J. Big Data 8(1): 96 (2021) - [c3]Muhammad Sakib Khan Inan, Rubaiath E. Ulfath, Fahim Irfan Alam, Fateha Khanam Bappee, Rizwan Hasan:
Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis. CCWC 2021: 1046-1050 - 2020
- [i2]Fateha Khanam Bappee, Lucas May Petry, Amílcar Soares Júnior, Stan Matwin:
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. CoRR abs/2006.07516 (2020)
2010 – 2019
- 2018
- [c2]Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin:
Predicting Crime Using Spatial Features. Canadian AI 2018: 367-373 - [i1]Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin:
Predicting Crime Using Spatial Features. CoRR abs/1803.04474 (2018) - 2017
- [c1]Fateha Khanam Bappee:
Identification and Classification of Alcohol-Related Violence in Nova Scotia Using Machine Learning Paradigms. Canadian AI 2017: 421-425
Coauthor Index
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