Cesare Alippi
http://usi.to/prz
Pubblicazioni
Pubblicazioni principali (4)
- Kozma R., Alippi C., Choe Y., Morabito F. (2018) Artificial Intelligence in the Age of Neural Networks and Brain Computing
- Dal Pozzolo A., Boracchi G., Caelen O., Alippi C., Bontempi G. (2018) Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
- Livi L., Bianchi F. M., Alippi C. (2018) Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization
- Bianchi F. M., Livi L., Alippi C. (2018) Investigating echo state networks dynamics by means of recurrence analysis
Articolo pubblicato in rivista scientifica (24)
- Butera L., Cini A., Ferrante A., Alippi C. (2024) Object-Centric Relational Representations for Image Generation, Transactions on Machine Learning Research. ISSN 2835-8856
- Grattarola D., Zambon D., Bianchi F. M., Alippi C. (2024) Understanding Pooling in Graph Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, 35 (2):2708-2718. ISSN 2162-2388
- Cini A., Zambon D., Alippi C. (2023) Sparse Graph Learning from Spatiotemporal Time Series, Journal of Machine Learning Research, 24 (242):1-36. ISSN 1533-7928
- Butera L., Ferrante A., Prevostini M., Alippi C., Jermini M. (2022) Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insect, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 2:246-258
- Grattarola D., Zambon D., Livi L., Alippi C. (2020) Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds, IEEE Transactions on Neural Networks and Learning Systems, 31 (6):1856-1869. ISSN 2162-237X, 2162-2388
- Grattarola D., Livi L., Alippi C. (2019) Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds, IEEE Transactions on Neural Networks and Learning Systems:1-14
- Zambon D., Alippi C., Livi L. (2019) Change-Point Methods on a Sequence of Graphs, IEEE Transactions on Signal Processing, 67 (24):6327-6341. ISSN 1941-0476
- Bo L., Alippi C., Zhao D. (2018) A Pdf-free Change Detection Test Based on Density Difference Estimation, IEEE Transactions on Neural Networks and Learning Systems, 29:324-334
- Zambon D., Livi L., Alippi C. (2018) Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings, IJCNN 2018 : International Joint Conference on Neural Networks
- Zambon D., Alippi C., Livi L. (2018) Concept Drift and Anomaly Detection in Graph Streams, IEEE Transactions on Neural Networks and Learning Systems, 29 (11):5592-5605. ISSN 2162-2388
- Zambon D., Alippi C., Livi L. (2018) Concept Drift and Anomaly Detection in Graph Streams, IEEE Transactions on Neural Networks and Learning Systems, 29:5592-5605
- Dal Pozzolo A., Boracchi G., Caelen O., Alippi C., Bontempi G. (2018) Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy, IEEE Transactions on Neural Networks and Learning Systems:1-14. ISSN 2162-237X
- Livi L., Bianchi F. M., Alippi C. (2018) Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization, IEEE Transactions on Neural Networks and Learning Systems, 29:706-717. ISSN 2162-237X
- Bianchi F. M., Livi L., Alippi C. (2018) Investigating echo state networks dynamics by means of recurrence analysis, IEEE Transactions on Neural Networks and Learning Systems, 29:427-439
- Zhao D., Bu L., Alippi C., Wei Q. (2017) A Kolmogorov-Smirnov Test to Detect Changes in Stationarity in Big Data, IFAC-PapersOnLine, 50:14260-14265. ISSN 2405-8963
- Bu L., Zhao D., Alippi C. (2017) An Incremental Change Detection Test Based on Density Difference Estimation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47:2714-2726. ISSN 2168-2216
- Alippi C., Ntalampiras S., Roveri M. (2017) Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, 1:61-71
- Bianchi F. M., Livi L., Alippi C., Jenssen R. (2017) Multiplex visibility graphs to investigate recurrent neural network dynamics, Nature-Scientific reports, 7:44037-44049
- Livi L., Alippi C. (2017) One-class classifiers based on entropic spanning graphs, IEEE Transactions on Neural Networks and Learning Systems, 28:2846-2858
- Gee S. B., Tan K. C., Alippi C. (2017) Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach, IEEE Transactions on Cybernetics, 47:4223-4234
- Alippi C., Roveri M. (2017) The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework, Computer, 50:38-47. ISSN 0018-9162
- Alippi C., Fantacci R., Marabissi D., Roveri M. (2016) A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things, IEEE Communication Magazine, 54:14-20
- Alippi C., Boracchi G., Wohlberg B. (2016) Model Complexity, Regularization, and Sparsity [Guest Editorial]
- Alippi C., Galbusera A., Stellini M. (2003) An Application Level Synthesis Methodology for Multidimensional Embedded Processing Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 22 (11):1457-1470
Libro (1)
- Kozma R., Alippi C., Choe Y., Morabito F. (2018) Artificial Intelligence in the Age of Neural Networks and Brain Computing. Academic Press. 1
Atti di conferenza (2)
- Grattarola D., Livi L., Alippi C. (2019) Autoregressive Models for Sequences of Graphs. IEEE. IEEE International Joint Conference on Neural Networks
- Alippi C., Boracchi G., Carrera D. (2016) CCM: Controlling the Change Magnitude in High Dimensional Data. Thessaloniki, Greece
Contributo in atti di conferenza (23)
- De Felice G., Cini A., Zambon D., Gusev V., Alippi C. (2024) Graph-Based Virtual Sensing from Sparse and Partial Multivariate Observations. The Twelfth International Conference on Learning Representations
- Gravina A., Zambon D., Bacciu D., Alippi C. (2024) Temporal Graph ODEs for Irregularly-Sampled Time Series. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization
- Cini A., Marisca I., Zambon D., Alippi C. (2023) Taming Local Effects in Graph-based Spatiotemporal Forecasting. Advances in Neural Information Processing Systems. Curran Associates, Inc.
- Munari M., Pasa L., Zambon D., Alippi C., Navarin N. (2022) Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. 2022 International Joint Conference on Neural Networks (IJCNN)
- Paassen B., Grattarola D., Zambon D., Alippi C., Hammer B. E. (2021) Graph Edit Networks. International Conference on Learning Representations (ICLR). International conference on learning representations (ICLR). Virtual. 3-7 May
- Zambon D., Alippi C., Livi L. (2020) Graph Random Neural Features for Distance-Preserving Graph Representations. Proceedings of the 37th International Conference on Machine Learning (ICML). PMLR. Proceedings of Machine Learning Research. Virtual
- Zambon D., Grattarola D., Livi L., Alippi C. (2019) Autoregressive Models for Sequences of Graphs. IEEE International Joint Conference on Neural Networks
- Alippi C., Livi L. (2019) Graph Embeddings from Random Neural Features. Advances in Neural Information Processing System (NeurIPS), Graph Representation Learning Workshop
- Verzelli P., Livi L., Alippi C. (2018) A characterization of the Edge of Criticality in Binary Echo State Networks. 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP). Aalborg, Denmark
- Zambon D., Livi L., Alippi C. (2018) Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. 2018 International Joint Conference on Neural Networks. 2018 World Congress on Computational Intelligence. Rio de Janeiro, Brazil. 8-13 July 2018
- Alippi C., Disabato S., Roveri M. (2018) Moving Convolutional Neural Networks to Embedded Systems: The Alexnet and VGG-16 Case. Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks. IEEE Press. Piscataway, NJ, USA. ISBN 978-1-5386-5298-5
- Regazzoni F., Alippi C., Polian I. (2018) Security: The Dark Side of Approximate Computing?. Proceedings of the International Conference on Computer-Aided Design. ACM. New York, NY, USA. ISBN 978-1-4503-5950-4
- Alippi C., Ambrosini R., Longoni V., Cogliati D., Roveri M. (2017) A lightweight and energy-efficient Internet-of-birds tracking system. 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)
- Bianchi F. M., Livi L., Jenssen R., Alippi C. (2017) Critical echo state network dynamics by means of Fisher information maximization. 2017 International Joint Conference on Neural Networks (IJCNN)
- Alippi C., D'Alto V., Falchetto M., Pau D., Roveri M. (2017) Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. 2017 International Joint Conference on Neural Networks (IJCNN)
- Zambon D., Livi L., Alippi C. (2017) Detecting changes in sequences of attributed graphs. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE. IEEE Symposium Series on Computational Intelligence. Honolulu, Hawaii, USA. 27 Nov.-1 Dec. 2017. ISBN 9781538627266
- Alippi C., Qi W., Roveri M. (2017) Learning in Nonstationary Environments: A Hybrid Approach. Artificial Intelligence and Soft Computing. Springer International Publishing. Cham. ISBN 978-3-319-59060-8
- Alippi C., Wen Q., Roveri M. (2016) An improved Hilbert-Huang Transform for non-linear and time-variant signals. 26th Italian Workshop on Neural Networks (WIRN 2016). Vietri sul Mare, Salerno, Italy. 05/2016
- Alippi C., Boracchi G., Carrera D., Roveri M. (2016) Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss. 25th International Joint Conference on Artificial Intelligence (IJCAI-16). New York, USA
- Bu L., Alippi C., Zhao D. (2016) Ensemble LSDD-based Change Detection Tests. IEEE-INNS International Joint Conference on Neural Networks (IJCNN16). Vancouver, Canada
- Livi L., Alippi C. (2016) One-Class Classification Through Mutual Information Minimization. IEEE-INNS International Joint Conference on Neural Networks (IJCNN16). Vancouver, Canada
- Alippi C., Ntalampiras S., Roveri M. (2016) Online Model-free Sensor Fault Identification and Dictionary Learning in Cyber-Physical Systems. IEEE-INNS International Joint Conference on Neural Networks (IJCNN16). Vancouver, Canada
- Alippi C., Galbusera A., Stellini M. (2002) An Application Level Synthesis Methodology for Embedded Systems. ISCAS 2002. Scottsdale
