Sfoglia per Autore
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
In corso di stampa Bianchi, F. M.; Grattarola, D.; Livi, L.; Alippi, C.
Distributed Deep Convolutional Neural Networks for the Internet-of-Things
In corso di stampa Disabato, S.; Roveri, M.; Alippi, C.
Graph Neural Networks with Convolutional ARMA Filters
In corso di stampa Bianchi, F. M.; Grattarola, D.; Livi, L.; Alippi, C.
Input-to-State Representation in Linear Reservoirs Dynamics
In corso di stampa Verzelli, P.; Alippi, C.; Livi, L.; Tino, P.
Taming Local Effects in Graph-based Spatiotemporal Forecasting
2023-01-01 Cini, Andrea; Marisca, Ivan; Zambon, Daniele; Alippi, Cesare
Hashing for Structure-Based Anomaly Detection
2023-01-01 Leveni, F.; Magri, L.; Alippi, C.; Boracchi, G.
Event Detection in Optical Signals via Domain Adaptation
2023-01-01 Rizzo, A. M.; Magri, L.; Invernizzi, P.; Sozio, E.; Aquaro, G.; Binetti, S.; Alippi, C.; Boracchi, G.
Peak shaving in distribution networks using stationary energy storage systems: A Swiss case study
2023-01-01 Efkarpidis, Nikolaos A.; Imoscopi, Stefano; Geidl, Martin; Cini, Andrea; Lukovic, Slobodan; Alippi, Cesare; Herbst, Ingo
Sparse Graph Learning from Spatiotemporal Time Series
2023-01-01 Cini, Andrea; Zambon, Daniele; Alippi, Cesare
Event-triggered robust control for multi-player nonzero-sum games with input constraints and mismatched uncertainties
2023-01-01 Zhang, Sc; Zhao, B; Liu, Dr; Alippi, C; Zhang, Yw
Anomaly Detection in Optical Spectra Via Joint Optimization
2023-01-01 Rizzo, Antonino Maria; Magri, Luca; Invernizzi, Pietro; Sozio, Enrico; Piciaccia, Stefano; Tanzi, Alberto; Binetti, Stefano; Alippi, Cesare; Boracchi, Giacomo
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
2022-01-01 Marisca, Ivan; Cini, Andrea; Alippi, Cesare
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs
2022-01-01 Zambon, Daniele; Alippi, Cesare
AUTOMATIC TREND IDENTIFICATION AND ANOMALY DETECTION IN OPTICAL CHANNEL MONITORING SPECTRUM
2022-01-01 Alippi, C.; Boracchi, G.; Rizzo, A. M.; Magri, L.; Sozio, E.; Acharjee, P.; Invernizzi, P.; Piciaccia, S.
A transfer-learning approach for corrosion prediction in pipeline infrastructures
2022-01-01 Canonaco, G.; Roveri, M.; Alippi, C.; Podenzani, F.; Bennardo, A.; Conti, M.; Mancini, N.
Graph Neural Networks for High-Level Synthesis Design Space Exploration
2022-01-01 Ferretti, Lorenzo; Cini, Andrea; Zacharopoulos, Georgios; Alippi, Cesare; Pozzi, Laura
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning
2022-01-01 Munari, M; Pasa, L; Zambon, D; Alippi, C; Navarin, N
Seizure localisation with attention-based graph neural networks
2022-01-01 Grattarola, Daniele; Livi, Lorenzo; Alippi, Cesare; Wennberg, Richard; Valiante, Taufik A.
Graph iForest: Isolation of anomalous and outlier graphs
2022-01-01 Zambon, D; Livi, L; Alippi, C
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting
2022-01-01 Eandi, S; Cini, A; Lukovic, S; Alippi, C
Known and unknown event detection in OTDR traces by deep learning networks
2022-01-01 Rizzo, Am; Magri, L; Rutigliano, D; Invernizzi, P; Sozio, E; Alippi, C; Binetti, S; Boracchi, G
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning
2022-01-01 Chen, Hongtian; Liu, Zhigang; Alippi, Cesare; Huang, Biao; Liu, Derong
AI, Machine Learning e Data Mining
2022-01-01 Bonarini, Andrea; Alippi, Cesare; Colombetti, Marco; Amigoni, Francesco; Boracchi, Giacomo; Caglioti, Vincenzo; Gini, Giuseppina; Loiacono, Daniele; Matteucci, Matteo; Restelli, Marcello; Roveri, Manuel; Schiaffonati, Viola
Understanding Pooling in Graph Neural Networks
2022-01-01 Grattarola, Daniele; Zambon, Daniele; Bianchi, Filippo Maria; Alippi, Cesare
Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects
2022-01-01 Butera, L; Ferrante, A; Jermini, M; Prevostini, M; Alippi, C
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
2021-01-01 Cini, Andrea; Marisca, Ivan; Alippi, Cesare
Deep learning for time series forecasting: The electric load case
2021-01-01 Gasparin, Alberto; Lukovic, Slobodan; Alippi, Cesare
PIF: Anomaly detection via preference embedding
2021-01-01 Leveni, Filippo; Magri, Luca; Boracchi, Giacomo; Alippi, Cesare
Learn to synchronize, synchronize to learn
2021-01-01 Verzelli, Pietro; Alippi, Cesare; Livi, Lorenzo
A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures
2021-01-01 Canonaco, Giuseppe; Roveri, Manuel; Alippi, Cesare; Podenzani, Fabrizio; Bennardo, Antonio; Conti, Marco; Mancini, Nicola
Gaussian approximation for bias reduction in Q-learning
2021-01-01 D'Eramo, C.; Cini, A.; Nuara, A.; Pirotta, M.; Alippi, C.; Peters, J.; Restelli, M.
Event-Detection Deep Neural Network for OTDR Trace Analysis
2021-01-01 Rutigliano, Davide; Boracchi, Giacomo; Invernizzi, Pietro; Sozio, Enrico; Alippi, Cesare; Binetti, Stefano
A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images
2021-01-01 Joshi, Rakesh Chandra; Yadav, Saumya; Pathak, Vinay Kumar; Malhotra, Hardeep Singh; Khokhar, Harsh Vardhan Singh; Parihar, Anit; Kohli, Neera; Himanshu, D; Garg, Ravindra K; Bhatt, Madan Lal Brahma; Kumar, Raj; Singh, Naresh Pal; Sardana, Vijay; Burget, Radim; Alippi, Cesare; Travieso-Gonzalez, Carlos M; Dutta, Malay Kishore
Graph Neural Networks in TensorFlow and Keras with Spektral
2021-01-01 Grattarola, D.; Alippi, C.
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks
2020-01-01 Lin, H.; Zhao, B.; Liu, D.; Alippi, C.
Spectral Clustering with Graph Neural Networks for Graph Pooling
2020-01-01 Bianchi, F. M.; Grattarola, D.; Alippi, C.
Corrosion prediction in oil and gas pipelines: A machine learning approach
2020-01-01 Canonaco, G.; Roveri, M.; Alippi, C.; Podenzani, F.; Bennardo, A.; Conti, M.; Mancini, N.
Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure
2020-01-01 Zhao, Bo; Liu, Derong; Alippi, Cesare
Cluster-based Aggregate Load Forecasting with Deep Neural Networks
2020-01-01 Cini, A.; Lukovic, S.; Alippi, C.
Graph Random Neural Features for Distance-Preserving Graph Representations
2020-01-01 Zambon, D.; Alippi, C.; Livi, L.
Change-point methods on a sequence of graphs
2019-01-01 Zambon, D.; Alippi, C.; Livi, L.
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
2019-01-01 Grattarola, Daniele; Zambon, Daniele; Livi, Lorenzo; Alippi, Cesare
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere
2019-01-01 Verzelli, P.; Alippi, C.; Livi, L.
Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things
2019-01-01 Alippi, Cesare; Ozawa, Seiichi
Adversarial autoencoders with constant-curvature latent manifolds
2019-01-01 Grattarola, D.; Livi, L.; Alippi, C.
Autoregressive Models for Sequences of Graphs
2019-01-01 Zambon, D.; Grattarola, D.; Livi, L.; Alippi, C.
One-Class Classifiers Based on Entropic Spanning Graphs
2018-01-01 Livi, Lorenzo; Alippi, Cesare
Moving Convolutional Neural Networks to Embedded Systems: The AlexNet and VGG-16 Case
2018-01-01 Alippi, Cesare; Disabato, Simone; Roveri, Manuel
A characterization of the edge of criticality in binary echo state networks
2018-01-01 Verzelli, Pietro; Livi, Lorenzo; Alippi, Cesare
Concept Drift and Anomaly Detection in Graph Streams
2018-01-01 Zambon, Daniele; Alippi, Cesare; Livi, Lorenzo
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