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luca.baldini@uniroma1.it
Luca Baldini
Dottorando
Struttura:
Non assegnato
E-mail:
luca.baldini@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study
ALGORITHMS
2022
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis
SN COMPUTER SCIENCE
2022
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain
SN COMPUTER SCIENCE
2022
Ottimizzazione di sistemi lightweight granular computing per la classificazione di grafi etichettati
Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica
2022
Towards a class-aware information granulation for graph embedding and classification
Studies in Computational Intelligence
2021
A physically inspired equivalent neural network circuit model for SoC estimation of electrochemical cells
ENERGIES
2021
A multi-agent approach for graph classification
Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: NCTA
2021
Relaxed dissimilarity-based symbolic histogram variants for granular graph embedding
Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: NCTA
2021
A class-specific metric learning approach for graph embedding by information granulation
APPLIED SOFT COMPUTING
2021
Exploiting cliques for granular computing-based graph classification
Proceedings of the International Joint Conference on Neural Networks
2020
Facing Big Data by an agent-based multimodal evolutionary approach to classification
Proceedings of the International Joint Conference on Neural Networks
2020
Complexity vs. performance in granular embedding spaces for graph classification
Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA
2020
Intrusion detection in wi-fi networks by modular and optimized ensemble of classifiers
Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA
2020
Stochastic information granules extraction for graph embedding and classification
IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence
2019
Calibration techniques for binary classification problems. A comparative analysis
IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence
2019
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