Amr Abdullatif

According to our database, Amr Abdullatif authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Certifiability Analysis of Machine Learning Systems for Low-Risk Automotive Applications.

Vinod Vasudevan, Amr Abdullatif, Sohag Kabir, Felician Campean

Computer, September, 2024

2023

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, September, 2023

2022

Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets.

Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

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

Proceedings of the 32nd Conference of Open Innovations Association, 2022

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

A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262.

Vinod Vasudevan, Amr Abdullatif, Sohag Kabir, Felician Campean

Proceedings of the Advances in Computational Intelligence Systems, 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

Proceedings of the Advances in Computational Intelligence Systems, 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

Proceedings of the Advances in Computational Intelligence Systems, 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

Proceedings of the Advances in Computational Intelligence Systems, 2021

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

Proceedings of the Advances in Computational Intelligence Systems, 2021

2020

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

Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

2018

Unsupervised tracking of time-evolving data streams and an application to short-term urban traffic flow forecasting.

Amr Rashad Ahmed Abdullatif

PhD thesis, 2018

Clustering of nonstationary data streams: A survey of fuzzy partitional methods.

Amr Abdullatif, Francesco Masulli, Stefano Rovetta

WIREs Data Mining Knowl. Discov., 2018

2017

Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting.

Amr Abdullatif, Francesco Masulli, Stefano Rovetta

Data Sci. Eng., 2017

2016

Graded Possibilistic Clustering of Non-stationary Data Streams.

Amr Abdullatif, Francesco Masulli, Stefano Rovetta, Alberto Cabri

Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Layered ensemble model for short-term traffic flow forecasting with outlier detection.

Amr Abdullatif, Stefano Rovetta, Francesco Masulli

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Comparison of Methods for Community Detection in Networks.

Hassan Mahmoud, Francesco Masulli, Stefano Rovetta, Amr Abdullatif

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Hubs and Communities Identification in Dynamical Financial Networks.

Hassan Mahmoud, Francesco Masulli, Marina Resta, Stefano Rovetta, Amr Abdullatif

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015