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Edoardo Serra
- > Home > Persons > Edoardo Serra
Publications
- 2023
- [c60]Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra:
An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability. COMPSAC 2023: 1030-1036 - [c58]Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea, Carmine Gallo:
Structural Node Representation Learning for Detecting Botnet Nodes. ICCSA (1) 2023: 731-743 - [c57]Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra:
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution. SDS 2023: 34-41 - [c56]Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra:
Attribution Methods Assessment for Interpretable Machine Learning. SEBD 2023: 65-75 - [c55]Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra:
Graph Representation Learning for Complex Security Problems. SEBD 2023: 279-290 - 2022
- [c50]Brian Daley, Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
GAPS: Generality and Precision with Shapley Attribution. IEEE Big Data 2022: 5444-5450 - [c49]Bishal Lakha, Sara Lilly Mount, Edoardo Serra, Alfredo Cuzzocrea:
Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset. IEEE Big Data 2022: 5756-5764 - 2021
- [c45]Brian Daley, Edoardo Serra, Alfredo Cuzzocrea:
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. IEEE BigData 2021: 5095-5101 - [c44]Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
Evaluating Attribution Methods in Machine Learning Interpretability. IEEE BigData 2021: 5239-5245 - [c43]Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea:
Detecting Botnet Nodes via Structural Node Representation Learning. IEEE BigData 2021: 5357-5364 - [c42]Miguel Quebrado, Edoardo Serra, Alfredo Cuzzocrea:
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. IEEE BigData 2021: 5441-5449 - [c38]Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea, Selim Soufargi, Carson K. Leung:
An Effective and Efficient Graph Representation Learning Approach for Big Graphs. SEBD 2021: 140-149 - 2020
- [c35]Oxana Korzh, Ashish Sharma, Mikel Joaristi, Edoardo Serra, Alfredo Cuzzocrea:
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning. IEEE BigData 2020: 5098-5107 - [c34]Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea:
Large-scale Sparse Structural Node Representation. IEEE BigData 2020: 5247-5253 - 2019
- [c29]Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, Edoardo Serra:
RIBS: Risky Blind-Spots for Attack Classification Models. IEEE BigData 2019: 5773-5779 - 2018
- [c22]Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea:
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. ICMLA 2018: 1479-1485 - [c21]Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea:
The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution. IDEAS 2018: 148-156 - [c19]Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea:
Inverse Tree-OLAP: Definition, Complexity and First Solution. SEBD 2018
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