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MANCELLARI Enea

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

ORCID
0000-0002-8562-1433
Main Referenced Co-authors
Bedalli, Erind (3)
LEPREVOST, Franck  (2)
TOPAL, Ali Osman  (2)
Asilkan, Ozcan (1)
Haskasa, Esteriana (1)
Main Referenced Keywords
Black boxes (2); Black-box attack (2); Computer Networks and Communications (2); Computer Science (all) (2); Convolutional Neural Network (2);
Main Referenced Disciplines
Computer science (5)

Publications (total 5)

The most cited

16 citations (Scopus®)

Bedalli, E., MANCELLARI, E., & Asilkan, O. (25 October 2016). A Heterogeneous Cluster Ensemble Model for Improving the Stability of Fuzzy Cluster Analysis. Procedia Computer Science, 102, 129 - 136. doi:10.1016/j.procs.2016.09.379 https://hdl.handle.net/10993/58283

LEPREVOST, F.* , TOPAL, A. O.* , MANCELLARI, E.* , & LAVANGNANANDA, K.*. (2023). Zone-of-Interest Strategy for the Creation of High-Resolution Adversarial Images Against Convolutional Neural Networks. In 2023 15th International Conference on Information Technology and Electrical Engineering, ICITEE 2023 (pp. 127-132). Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICITEE59582.2023.10317668
Peer reviewed
* These authors have contributed equally to this work.

LEPREVOST, F., TOPAL, A. O., & MANCELLARI, E. (2023). Creating High-Resolution Adversarial Images Against Convolutional Neural Networks with the Noise Blowing-Up Method. In N. T. Nguyen & B. Hnatkowska (Eds.), Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Proceedings (pp. 121-134). Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-99-5834-4_10
Peer reviewed

MANCELLARI, E., Bedalli, E., & Rada, R. (2020). Some assessments on applications of fuzzy clustering techniques in multimedia compression systems. In 11th International Conference on Management of Digital EcoSystems, MEDES 2019 (pp. 111-114). Association for Computing Machinery, Inc. doi:10.1145/3297662.3365799
Editorial reviewed

Bedalli, E., MANCELLARI, E., & Haskasa, E. (2018). Exploring User Feedback Data via a Hybrid Fuzzy Clustering Model Combining Variations of FCM and Density-Based Clustering. In Lecture Notes on Data Engineering and Communications Technologies (pp. 71-81). Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-319-98557-2_7
Editorial reviewed

Bedalli, E., MANCELLARI, E., & Asilkan, O. (25 October 2016). A Heterogeneous Cluster Ensemble Model for Improving the Stability of Fuzzy Cluster Analysis. Procedia Computer Science, 102, 129 - 136. doi:10.1016/j.procs.2016.09.379
Editorial reviewed

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