Filippo Maria Bianchi
Orcid: 0000-0002-7145-3846
According to our database1,
Filippo Maria Bianchi
authored at least 75 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
CoRR, 2024
2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability.
CoRR, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling.
IEEE Trans. Neural Networks Learn. Syst., 2022
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case.
CoRR, 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting.
CoRR, 2022
2021
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Time series cluster kernels to exploit informative missingness and incomplete label information.
Pattern Recognit., 2021
IEEE Access, 2021
Proceedings of the Intelligent Technologies and Applications, 2021
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning.
Remote. Sens., 2020
Cogn. Comput., 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
Pattern Recognit., 2019
2018
Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Time series cluster kernel for learning similarities between multivariate time series with missing data.
Pattern Recognit., 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders.
CoRR, 2018
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples.
CoRR, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-70337-4, 2017
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery.
Soft Comput., 2017
Data-driven detrending of nonstationary fractal time series with echo state networks.
Inf. Sci., 2017
CoRR, 2017
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting.
CoRR, 2017
Cogn. Comput., 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Pattern Anal. Appl., 2016
Eng. Appl. Artif. Intell., 2016
CoRR, 2016
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data.
Cogn. Comput., 2016
2015
Prediction of telephone calls load using Echo State Network with exogenous variables.
Neural Networks, 2015
Position paper: a general framework for applying machine learning techniques in operating room.
CoRR, 2015
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition.
IEEE Access, 2015
2014
A Granular Computing approach to the design of optimized graph classification systems.
Soft Comput., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013