Hubs and Communities Identification in Dynamical Financial Networks. - Hassan Mahmoud; Francesco Masulli; Marina Resta; Stefano Rovetta; Amr Abdullatif (Advances in Neural Networks, 2015)

Comparison of Methods for Community Detection in Networks. - Hassan Mahmoud; Francesco Masulli; Stefano Rovetta; Amr Abdullatif (ICANN (2), 2016)

Layered ensemble model for short-term traffic flow forecasting with outlier detection. - Amr Abdullatif; Stefano Rovetta; Francesco Masulli (RTSI, 2016)

Graded Possibilistic Clustering of Non-stationary Data Streams. - Amr Abdullatif; Francesco Masulli; Stefano Rovetta; Alberto Cabri (WILF, 2016)

Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting. - Amr Abdullatif; Francesco Masulli; Stefano Rovetta (Data Sci. Eng., 2017)

Clustering of nonstationary data streams: A survey of fuzzy partitional methods. - Amr Abdullatif; Francesco Masulli; Stefano Rovetta (WIREs Data Mining Knowl. Discov., 2018)

Unsupervised tracking of time-evolving data streams and an application to short-term urban traffic flow forecasting. - Amr Rashad Ahmed Abdullatif (2018)

Comparative Study of Shortterm Electricity Price Forecasting Models to Optimise Battery Consumption. - Vjosa Preniqi; Bhupesh Kumar Mishra; Dhavalkumar Thakker; Erich Feigl; Geev Mokryani; Amr Abdullatif; Savas Konur (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning. - Ramzi Jaber; Rami Qahwaji; Amr Abdullatif; John G. Buckley; Raed Abd-Alhameed (UKCI, 2021)

Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm. - Kirill Kartashev; Aleksandr Doikin; Felician Campean; Alexey Uglanov; Amr Abdullatif; Qichun Zhang; Emanuele Angiolini (UKCI, 2021)

Defect Prediction on Production Line. - Souhaiel Khalfaoui; Eric Manouvrier; Alexandre Briot; David Delaux; Stéphane Butel; Jesutofunmi Ibrahim; Tatenda Kanyere; Bola Orimogunje; Amr Abdullatif; Daniel Neagu (UKCI, 2021)

Driver Behaviour Modelling: Travel Prediction Using Probability Density Function. - Alexey Uglanov; Kirill Kartashev; Felician Campean; Aleksandr Doikin; Amr Abdullatif; Emanuele Angiolini; Chunxing Lin; Qichun Zhang (UKCI, 2021)

A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262. - Vinod Vasudevan; Amr Abdullatif; Sohag Kabir; Felician Campean (UKCI, 2021)

Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. - Koorosh Aslansefat; Sohag Kabir; Amr Abdullatif; Vinod Vasudevan; Yiannis Papadopoulos (Computer, 2021)

Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective. - Ahsanullah Yunas Mahmoud; Daniel Neagu; Daniele Scrimieri; Amr Rashad Ahmed Abdullatif (FRUCT, 2022)

Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. - Ahsanullah Yunas Mahmoud; Daniel Neagu; Daniele Scrimieri; Amr Rashad Ahmed Abdullatif (ICMLA, 2022)

Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare. - Ahsanullah Yunas Mahmoud; Daniel Neagu; Daniele Scrimieri; Amr Rashad Ahmed Abdullatif (Comput. Biol. Medicine, 2023)

Certifiability Analysis of Machine Learning Systems for Low-Risk Automotive Applications. - Vinod Vasudevan; Amr Abdullatif; Sohag Kabir; Felician Campean (Computer, 2024)