| 2026 | AAAI | Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers. | Xuan Rao, Simian Xu, Zheng Li, Bo Zhao, Derong Liu, Mingming Ha, Cesare Alippi |
| 2025 | ICML | Relational Conformal Prediction for Correlated Time Series. | Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi |
| 2025 | ICML | Learning Latent Graph Structures and their Uncertainty. | Alessandro Manenti, Daniele Zambon, Cesare Alippi |
| 2024 | ICLR | Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. | Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi |
| 2024 | ICML | Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. | Andrea Cini, Danilo P. Mandic, Cesare Alippi |
| 2024 | ICML | Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. | Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi |
| 2024 | IJCAI | Temporal Graph ODEs for Irregularly-Sampled Time Series. | Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi |
| 2024 | IJCNN | Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. | Nicol Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi |
| 2023 | AAAI | Scalable Spatiotemporal Graph Neural Networks. | Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi |
| 2023 | ICASSP | Anomaly Detection in Optical Spectra VIA Joint Optimization. | Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Stefano Piciaccia, Alberto Tanzi, Stefano Binetti, Cesare Alippi, Giacomo Boracchi |
| 2023 | ICIAP | Hashing for Structure-Based Anomaly Detection. | Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi |
| 2022 | ICLR | Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. | Andrea Cini, Ivan Marisca, Cesare Alippi |
| 2022 | IJCNN | Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. | Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi |
| 2022 | IJCNN | Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. | Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicol Navarin |
| 2022 | IJCNN | Graph iForest: Isolation of anomalous and outlier graphs. | Daniele Zambon, Lorenzo Livi, Cesare Alippi |
| 2021 | EANN | Event-Detection Deep Neural Network for OTDR Trace Analysis. | Davide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti |
| 2021 | ESANN | Deep learning for graphs. | Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi |
| 2021 | ICLR | Graph Edit Networks. | Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer |
| 2021 | SmartComp | Birdsong Detection at the Edge with Deep Learning. | Simone Disabato, Giuseppe Canonaco, Paul G. Flikkema, Manuel Roveri, Cesare Alippi |
| 2020 | ICML | Spectral Clustering with Graph Neural Networks for Graph Pooling. | Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi |
| 2020 | ICML | Graph Random Neural Features for Distance-Preserving Graph Representations. | Daniele Zambon, Cesare Alippi, Lorenzo Livi |
| 2020 | ICPR | PIF: Anomaly detection via preference embedding. | Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi |
| 2020 | IJCNN | Cluster-based Aggregate Load Forecasting with Deep Neural Networks. | Andrea Cini, Slobodan Lukovic, Cesare Alippi |
| 2019 | ICANN | Hyper-spherical Reservoirs for Echo State Networks. | Pietro Verzelli, Cesare Alippi, Lorenzo Livi |
| 2019 | IJCNN | Autoregressive Models for Sequences of Graphs. | Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi |
| 2018 | ICCAD | Security: the dark side of approximate computing? | Francesco Regazzoni, Cesare Alippi, Ilia Polian |
| 2018 | IJCNN | Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. | Daniele Zambon, Lorenzo Livi, Cesare Alippi |
| 2017 | ICAISC | Learning in Nonstationary Environments: A Hybrid Approach. | Cesare Alippi, Wen Qi, Manuel Roveri |
| 2017 | IJCNN | Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. | Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau, Manuel Roveri |
| 2017 | IJCNN | Critical echo state network dynamics by means of Fisher information maximization. | Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi |
| 2017 | PERCOM | A lightweight and energy-efficient Internet-of-birds tracking system. | Cesare Alippi, Roberto Ambrosini, Violetta Longoni, Dario Cogliati, Manuel Roveri |
| 2017 | UIC | A spectrum-based adaptive sampling algorithm for smart sensing. | Ilaria Scarabottolo, Cesare Alippi, Manuel Roveri |
| 2016 | IJCAI | Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss. | Cesare Alippi, Giacomo Boracchi, Diego Carrera, Manuel Roveri |
| 2016 | IJCNN | Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. | Cesare Alippi, Stavros Ntalampiras, Manuel Roveri |
| 2016 | IJCNN | Ensemble LSDD-based change detection tests. | Li Bu, Cesare Alippi, Dongbin Zhao |
| 2016 | IJCNN | One-class classification through mutual information minimization. | Lorenzo Livi, Cesare Alippi |
| 2015 | IJCNN | Credit card fraud detection and concept-drift adaptation with delayed supervised information. | Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi |
| 2014 | ICASSP | Change detection in streams of signals with sparse representations. | Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg |
| 2014 | IJCCI | Learning in Non-stationary Environments. | Cesare Alippi |
| 2014 | IES | Learning causal dependencies to etect and diagnose faults in sensor networks. | Cesare Alippi, Manuel Roveri, Francesco Trov |
| 2013 | IJCNN | A prior-free encode-decode change detection test to inspect datastreams for concept drift. | Cesare Alippi, Li Bu, Dongbin Zhao |
| 2013 | IJCNN | Model ensemble for an effective on-line reconstruction of missing data in sensor networks. | Cesare Alippi, Stavros Ntalampiras, Manuel Roveri |
| 2012 | ICANN | A "Learning from Models" Cognitive Fault Diagnosis System. | Cesare Alippi, Manuel Roveri, Francesco Trov |
| 2012 | ICONIP | SVM-Based Just-in-Time Adaptive Classifiers. | Cesare Alippi, Li Bu, Dongbin Zhao |
| 2012 | IJCNN | Just-in-time ensemble of classifiers. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2012 | IJCNN | On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2012 | IJCNN | An HMM-based change detection method for intelligent embedded sensors. | Cesare Alippi, Stavros Ntalampiras, Manuel Roveri |
| 2012 | MASS | Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks. | Cesare Alippi, Romolo Camplani, Manuel Roveri, Gabriele Viscardi |
| 2011 | ICANN | A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2011 | IJCNN | An effective just-in-time adaptive classifier for gradual concept drifts. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2011 | IJCNN | A hierarchical, nonparametric, sequential change-detection test. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2010 | ICANN | Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2010 | IJCNN | Change detection tests using the ICI rule. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2010 | IJCNN | Virtual k-fold cross validation: An effective method for accuracy assessment. | Cesare Alippi, Manuel Roveri |
| 2010 | MASS | An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. | Cesare Alippi, Romolo Camplani, Cristian Galperti, Antonio Marullo, Manuel Roveri |
| 2010 | PERCOM | Robust hybrid wired-wireless sensor networks. | Cesare Alippi, Luigi Sportiello |
| 2009 | IJCNN | Just in time classifiers: Managing the slow drift case. | Cesare Alippi, Giacomo Boracchi, Manuel Roveri |
| 2008 | IJCNN | k-NN classifiers: Investigating the k=k(n) relationship. | Cesare Alippi, M. Fuhrman, Manuel Roveri |
| 2007 | IJCNN | Adaptive Classifiers in Stationary Conditions. | Cesare Alippi, Manuel Roveri |
| 2007 | IJCNN | Just-in-time Adaptive Classifiers in Non-Stationary Conditions. | Cesare Alippi, Manuel Roveri |
| 2007 | MASS | Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications. | Cesare Alippi, Giuseppe Anastasi, Cristian Galperti, Francesca Mancini, Manuel Roveri |
| 2006 | ICASSP | Particle Filters for Rss-Based Localization in Wireless Sensor Networks: An Experimental Study. | Carlo Morelli, Monica Nicoli, Vittorio Rampa, Umberto Spagnolini, Cesare Alippi |
| 2006 | IJCNN | A computational intelligence-based criterion to detect non-stationarity trends. | Cesare Alippi, Manuel Roveri |
| 2006 | ISCAS | A statistical approach to localize passive RFIDs. | Cesare Alippi, D. Cogliati, Giovanni Vanini |
| 2006 | ISCAS | An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes. | Cesare Alippi, Cristian Galperti |
| 2006 | ISCAS | An adaptive CUSUM-based test for signal change detection. | Cesare Alippi, Manuel Roveri |
| 2006 | PERCOM | Application-based routing optimization in static/semi-staticWireless Sensor Networks. | Cesare Alippi, Giovanni Vanini |
| 2006 | PERCOM | A RSSI-based and calibrated centralized localization technique forWireless Sensor Networks. | Cesare Alippi, Giovanni Vanini |
| 2005 | ICIP | An adaptive system for automatic invoice-documents classification. | Cesare Alippi, F. Pessina, Manuel Roveri |
| 2005 | ISCAS | A RF map-based localization algorithm for indoor environments. | Cesare Alippi, Alan Mottarella, Giovanni Vanini |
| 2005 | ISCAS | Exploiting application locality to design fast, low power, low complexity neural classifiers. | Cesare Alippi, Fabio Scotti |
| 2005 | ISCAS | An application-level methodology to guide the design of intelligent-processing, power-aware passive RFIDs. | Cesare Alippi, Giovanni Vanini |
| 2004 | IJCNN | A training-time analysis of robustness in feed-forward neural networks. | Cesare Alippi, Daniele Sana, Fabio Scotti |
| 2003 | ISCAS | High level accuracy loss estimates for a class of analog/digital systems. | Cesare Alippi, Marco Stellini |
| 2002 | ISCAS | An application level synthesis methodology for embedded systems. | Cesare Alippi, Andrea Galbusera, Marco Stellini |
| 2001 | RSP | Determining the Optimum Extended Instruction-Set Architecture for Application Specific Reconfigurable VLIW CPUs. | Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami |
| 2000 | FPGA | Determining the optimum extended instruction-set architecture for application specific reconfigurable VLIW CPUs (poster abstract). | Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami |
| 2000 | IJCNN | A Methodology for Example-Based Specification and Design. | Cesare Alippi, Stefano Ferrari, Vincenzo Piuri |
| 1999 | DATE | A DAG-Based Design Approach for Reconfigurable VLIW Processors. | Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami |
| 1999 | ISCAS | Feedforward neural networks with improved insensitivity abilities. | Cesare Alippi |
| 1995 | ISCAS | Off-Line Performance Maximisation in Feed-Forward Neural Networks by Applying Virtual Neurons and Covariance Transformations. | Cesare Alippi, Raffaele Petracca, Vincenzo Piuri |
| 1994 | ISCAS | Setting and Validating Precision Requirements in the Digital VLSI Implementation of a Neural Defect-Identifier for Machined Objects. | Cesare Alippi, Luciano Briozzo |
| 1994 | ISCAS | Sensitivity to Errors in Artificial Neural Networks: a Behavioural Approach. | Cesare Alippi, Vincenzo Piuri, Mariagiovanna Sami |