| Soft transition from probabilistic to possibilistic fuzzy clustering F Masulli, S Rovetta IEEE Transactions on Fuzzy Systems 14 (4), 516-527, 2006 | 116 | 2006 |
| Explainable artificial intelligence for developing smart cities solutions D Thakker, BK Mishra, A Abdullatif, S Mazumdar, S Simpson Smart Cities 3 (4), 1353-1382, 2020 | 49 | 2020 |
| Clustering of nonstationary data streams: A survey of fuzzy partitional methods A Abdullatif, F Masulli, S Rovetta Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (4 …, 2018 | 28 | 2018 |
| Toward improving confidence in autonomous vehicle software: A study on traffic sign recognition systems K Aslansefat, S Kabir, A Abdullatif, V Vasudevan, Y Papadopoulos Computer 54 (8), 66-76, 2021 | 23 | 2021 |
| Advances in neural networks: computational and theoretical issues S Bassis, A Esposito, FC Morabito Springer International Publishing, 2015 | 21 | 2015 |
| Artificial Neural Networks and Machine Learning–ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II AEP Villa, P Masulli, AJP Rivero Springer, 2016 | 17 | 2016 |
| Layered ensemble model for short-term traffic flow forecasting with outlier detection A Abdullatif, S Rovetta, F Masulli 2016 IEEE 2nd International Forum on Research and Technologies for Society …, 2016 | 12 | 2016 |
| Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting A Abdullatif, F Masulli, S Rovetta Data Science and Engineering, 2017 | 11 | 2017 |
| 3D face recognition using 2DPCA 3D face recognition using 2DPCA EA Rashad, A Hamdy, MA Saleh, M Eladawy IJCSNS 9 (12), 149, 2009 | 10 | 2009 |
| Graded possibilistic clustering of non-stationary data streams A Abdullatif, F Masulli, S Rovetta, A Cabri Fuzzy Logic and Soft Computing Applications: 11th International Workshop …, 2017 | 5 | 2017 |
| Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning R Jaber, R Qahwaji, A Abdullatif, J Buckley, R Abd-Alhameed Advances in Computational Intelligence Systems: Contributions Presented at …, 2022 | 2 | 2022 |
| Driver Behaviour Modelling: Travel Prediction Using Probability Density Function A Uglanov, K Kartashev, F Campean, A Doikin, A Abdullatif, E Angiolini, ... UK Workshop on Computational Intelligence, 545-556, 2021 | 2 | 2021 |
| Comparison of methods for community detection in networks H Mahmoud, F Masulli, S Rovetta, A Abdullatif Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 2 | 2016 |
| Hubs and communities identification in dynamical financial networks H Mahmoud, F Masulli, M Resta, S Rovetta, A Abdulatif Advances in Neural Networks: Computational and Theoretical Issues, 93-101, 2015 | 2 | 2015 |
| Hubs and Communities Identification in Dynamical Financial Networks SR Hassan Mahmoud, Amr Abdullatif, Francesco Masulli, Marina Resta Advances in Neural Networks: Computational and Theoretical Issues 37, 93-101, 2015 | 2 | 2015 |
| Machine learning experiments with artificially generated big data from small immunotherapy datasets AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Review of immunotherapy classification: Application domains, datasets, algorithms and software tools from machine learning perspective AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif 2022 32nd Conference of Open Innovations Association (FRUCT), 152-161, 2022 | 1 | 2022 |
| A framework to handle uncertainties of machine learning models in compliance with iso 26262 V Vasudevan, A Abdullatif, S Kabir, F Campean Advances in Computational Intelligence Systems: Contributions Presented at …, 2022 | 1 | 2022 |
| Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm K Kartashev, A Doikin, F Campean, A Uglanov, A Abdullatif, Q Zhang, ... Advances in Computational Intelligence Systems: Contributions Presented at …, 2022 | 1 | 2022 |
| Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif Computers in Biology and Medicine 164, 107295, 2023 | | 2023 |
Francesco MasulliFull Professor of Computer Science, University of Genoa (ITALY)Verified email at unige.it
