Amr Abdullatif

Orcid: 0000-0003-1801-4673

According to our database1, Amr Abdullatif authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Certifiability Analysis of Machine Learning Systems for Low-Risk Automotive Applications.
Computer, September, 2024

2023
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare.
Comput. Biol. Medicine, September, 2023

2022
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets.
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.
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.
Computer, 2021

A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262.
Proceedings of the Advances in Computational Intelligence Systems, 2021

Driver Behaviour Modelling: Travel Prediction Using Probability Density Function.
Proceedings of the Advances in Computational Intelligence Systems, 2021

Defect Prediction on Production Line.
Proceedings of the Advances in Computational Intelligence Systems, 2021

Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm.
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.
Proceedings of the Advances in Computational Intelligence Systems, 2021

2020
Comparative Study of Shortterm Electricity Price Forecasting Models to Optimise Battery Consumption.
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.
PhD thesis, 2018

Clustering of nonstationary data streams: A survey of fuzzy partitional methods.
WIREs Data Mining Knowl. Discov., 2018

2017
Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting.
Data Sci. Eng., 2017

2016
Graded Possibilistic Clustering of Non-stationary Data Streams.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Layered ensemble model for short-term traffic flow forecasting with outlier detection.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Hubs and Communities Identification in Dynamical Financial Networks.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015


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