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ORCIDAmr Abdullatif
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2020 – today
- 2024
[j5]Vinod Vasudevan
, Amr Abdullatif, Sohag Kabir, Felician Campean:
Certifiability Analysis of Machine Learning Systems for Low-Risk Automotive Applications. Computer 57(9): 45-56 (2024)- 2023
- [j4]Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare. Comput. Biol. Medicine 164: 107295 (2023) - 2022
- [c11]Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective. FRUCT 2022: 152-161 - [c10]Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. ICMLA 2022: 986-991 - 2021
- [j3]Koorosh Aslansefat, Sohag Kabir, Amr Abdullatif, Vinod Vasudevan, Yiannis Papadopoulos:
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer 54(8): 66-76 (2021) - [c9]Ramzi Jaber, Rami Qahwaji, Amr Abdullatif, John G. Buckley, Raed Abd-Alhameed:
Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning. UKCI 2021: 428-438 - [c8]Vinod Vasudevan, Amr Abdullatif, Sohag Kabir, Felician Campean:
A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262. UKCI 2021: 508-518 - [c7]Souhaiel Khalfaoui, Eric Manouvrier, Alexandre Briot, David Delaux, Stéphane Butel, Jesutofunmi Ibrahim, Tatenda Kanyere, Bola Orimogunje, Amr Abdullatif, Daniel Neagu:
Defect Prediction on Production Line. UKCI 2021: 532-544 - [c6]Alexey Uglanov, Kirill Kartashev, Felician Campean, Aleksandr Doikin, Amr Abdullatif, Emanuele Angiolini, Chunxing Lin, Qichun Zhang:
Driver Behaviour Modelling: Travel Prediction Using Probability Density Function. UKCI 2021: 545-556 - [c5]Kirill Kartashev, Aleksandr Doikin, Felician Campean, Alexey Uglanov, Amr Abdullatif, Qichun Zhang, Emanuele Angiolini:
Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm. UKCI 2021: 557-568 - 2020
- [c4]Vjosa Preniqi, Bhupesh Kumar Mishra, Dhavalkumar Thakker, Erich Feigl, Geev Mokryani, Amr Abdullatif, Savas Konur:
Comparative Study of Shortterm Electricity Price Forecasting Models to Optimise Battery Consumption. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 342-349
2010 – 2019
- 2018
- [b1]Amr Rashad Ahmed Abdullatif:
Unsupervised tracking of time-evolving data streams and an application to short-term urban traffic flow forecasting. University of Genoa, Italy, 2018 - [j2]Amr Abdullatif, Francesco Masulli, Stefano Rovetta:
Clustering of nonstationary data streams: A survey of fuzzy partitional methods. WIREs Data Mining Knowl. Discov. 8(4) (2018) - 2017
- [j1]Amr Abdullatif, Francesco Masulli, Stefano Rovetta:
Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting. Data Sci. Eng. 2(3): 210-223 (2017) - 2016
- [c3]Hassan Mahmoud, Francesco Masulli, Stefano Rovetta, Amr Abdullatif:
Comparison of Methods for Community Detection in Networks. ICANN (2) 2016: 216-224 - [c2]Amr Abdullatif, Stefano Rovetta, Francesco Masulli:
Layered ensemble model for short-term traffic flow forecasting with outlier detection. RTSI 2016: 1-6 - [c1]Amr Abdullatif, Francesco Masulli, Stefano Rovetta, Alberto Cabri:
Graded Possibilistic Clustering of Non-stationary Data Streams. WILF 2016: 139-150 - 2015
- [p1]Hassan Mahmoud, Francesco Masulli, Marina Resta, Stefano Rovetta, Amr Abdullatif:
Hubs and Communities Identification in Dynamical Financial Networks. Advances in Neural Networks 2015: 93-101
Coauthor Index
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