Cesare Alippi - RankMe

282 papers A* 19A 3B 34C 9Misc 2Journal 162Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessment of spatio-temporal predictors in the presence of missing and heterogeneous data. Neurocomputing Daniele Zambon, Cesare Alippi
2026	A*	`conf`	Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers. AAAI Xuan Rao, Simian Xu, Zheng Li, Bo Zhao, Derong Liu, Mingming Ha, Cesare Alippi
2026	J	`jnl`	Preference isolation forest for structure-based anomaly detection. Pattern Recognit. Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2026	J	`jnl`	SWING: Unlocking Implicit Graph Representations for Graph Random Features. CoRR Alessandro Manenti, Avinava Dubey, Arijit Sehanobish, Cesare Alippi, Krzysztof Choromanski
2026	J	`jnl`	Scalable Analytic Classifiers with Associative Drift Compensation for Class-Incremental Learning of Vision Transformers. CoRR Xuan Rao, Mingming Ha, Bo Zhao, Derong Liu, Cesare Alippi
2026	J	`jnl`	TimeOmni-VL: Unified Models for Time Series Understanding and Generation. CoRR Tong Guan, Sheng Pan, Johan Barthelemy, Zhao Li, Yujun Cai, Cesare Alippi, Ming Jin, Shirui Pan
2025	J	`jnl`	BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training. CoRR Luca Colombo, Fabrizio Pittorino, Daniele Zambon, Carlo Baldassi, Manuel Roveri, Cesare Alippi
2025	J	`jnl`	Beyond Softmax: A Natural Parameterization for Categorical Random Variables. CoRR Alessandro Manenti, Cesare Alippi
2025	J	`jnl`	Compensating Distribution Drifts in Class-incremental Learning of Pre-trained Vision Transformers. CoRR Xuan Rao, Simian Xu, Zheng Li, Bo Zhao, Derong Liu, Mingming Ha, Cesare Alippi
2025	J	`jnl`	DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting. CoRR Xiaobei Zou, Luolin Xiong, Kexuan Zhang, Cesare Alippi, Yang Tang
2025	J	`jnl`	Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games. CoRR Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi
2025	J	`jnl`	FX-DARTS: Designing Topology-Unconstrained Architectures With Differentiable Architecture Search and Entropy-BasedSuper-Network Shrinking. IEEE Trans. Neural Networks Learn. Syst. Xuan Rao, Bo Zhao, Derong Liu, Cesare Alippi
2025	J	`jnl`	FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking. CoRR Xuan Rao, Bo Zhao, Derong Liu, Cesare Alippi
2025	J	`jnl`	Graph Deep Learning for Time Series Forecasting. ACM Comput. Surv. Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2025	J	`jnl`	Hashing for Structure-based Anomaly Detection. CoRR Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2025	J	`jnl`	Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning. CoRR Tommaso Marzi, Cesare Alippi, Andrea Cini
2025	A*	`conf`	Learning Latent Graph Structures and their Uncertainty. ICML Alessandro Manenti, Daniele Zambon, Cesare Alippi
2025	J	`jnl`	Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements. CoRR Alexander Jenkins, Andrea Cini, Joseph Barker, Alexander Sharp, Arunashis Sau, Varun Valentine, Srushti Valasang, Xinyang Li, Tom Wong, Timothy Betts, Danilo P. Mandic, Cesare Alippi, Fu Siong Ng
2025	J	`jnl`	Malware families discovery via Open-Set Recognition on Android manifest permissions. CoRR Filippo Leveni, Matteo Mistura, Francesco Iubatti, Carmine Giangregorio, Nicolò Pastore, Cesare Alippi, Giacomo Boracchi
2025	J	`jnl`	On the Regularization of Learnable Embeddings for Time Series Forecasting. Trans. Mach. Learn. Res. Luca Butera, Giovanni de Felice, Andrea Cini, Cesare Alippi
2025	J	`jnl`	Online Continual Graph Learning. CoRR Giovanni Donghi, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
2025	J	`jnl`	Over-squashing in Spatiotemporal Graph Neural Networks. CoRR Ivan Marisca, Jacob Bamberger, Cesare Alippi, Michael M. Bronstein
2025	J	`jnl`	PIF: Anomaly detection via preference embedding. CoRR Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
2025	J	`jnl`	PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning. CoRR Daniele Zambon, Michele Cattaneo, Ivan Marisca, Jonas Bhend, Daniele Nerini, Cesare Alippi
2025	J	`jnl`	Preference Isolation Forest for Structure-based Anomaly Detection. CoRR Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2025	A*	`conf`	Relational Conformal Prediction for Correlated Time Series. ICML Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi
2025	J	`jnl`	Relational Conformal Prediction for Correlated Time Series. CoRR Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi
2025	J	`jnl`	The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning. CoRR Giovanni Donghi, Daniele Zambon, Luca Pasa, Cesare Alippi, Nicolò Navarin
2025	J	`jnl`	What Matters in Deep Learning for Time Series Forecasting? CoRR Valentina Moretti, Andrea Cini, Ivan Marisca, Cesare Alippi
2024	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2024	J	`jnl`	Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Hongtian Chen, Zhigang Liu, Cesare Alippi, Biao Huang, Derong Liu
2024	J	`jnl`	Feudal Graph Reinforcement Learning. Trans. Mach. Learn. Res. Tommaso Marzi, Arshjot Singh Khehra, Andrea Cini, Cesare Alippi
2024	A*	`conf`	Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. ICML Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
2024	J	`jnl`	Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. CoRR Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
2024	A*	`conf`	Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML Andrea Cini, Danilo P. Mandic, Cesare Alippi
2024	A*	`conf`	Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
2024	J	`jnl`	Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
2024	J	`jnl`	Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems. IEEE Trans. Neural Networks Learn. Syst. Zhigang Liu, Cesare Alippi, Hongtian Chen, Derong Liu
2024	J	`jnl`	Learning Latent Graph Structures and their Uncertainty. CoRR Alessandro Manenti, Daniele Zambon, Cesare Alippi
2024	J	`jnl`	Object-Centric Relational Representations for Image Generation. Trans. Mach. Learn. Res. Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
2024	J	`jnl`	On the Regularization of Learnable Embeddings for Time Series Processing. CoRR Luca Butera, Giovanni de Felice, Andrea Cini, Cesare Alippi
2024	B	`conf`	Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. IJCNN Nicolò Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi
2024	A*	`conf`	Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024	J	`jnl`	Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024	J	`jnl`	Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2023	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2023	Misc	`conf`	Anomaly Detection in Optical Spectra VIA Joint Optimization. ICASSP Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Stefano Piciaccia, Alberto Tanzi, Stefano Binetti, Cesare Alippi, Giacomo Boracchi
2023	—	`conf`	Event Detection in Optical Signals via Domain Adaptation. EUSIPCO Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Gabriele Aquaro, Stefano Binetti, Cesare Alippi, Giacomo Boracchi
2023	J	`jnl`	Feudal Graph Reinforcement Learning. CoRR Tommaso Marzi, Arshjot Singh Khehra, Andrea Cini, Cesare Alippi
2023	J	`jnl`	Graph Deep Learning for Time Series Forecasting. CoRR Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Graph Kalman Filters. CoRR Cesare Alippi, Daniele Zambon
2023	J	`jnl`	Graph Neural Networks for High-Level Synthesis Design Space Exploration. ACM Trans. Design Autom. Electr. Syst. Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
2023	J	`jnl`	Graph state-space models. CoRR Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
2023	J	`jnl`	Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR Andrea Cini, Danilo P. Mandic, Cesare Alippi
2023	—	`conf`	Hashing for Structure-Based Anomaly Detection. ICIAP (2) Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2023	J	`jnl`	Relational Inductive Biases for Object-Centric Image Generation. CoRR Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
2023	A*	`conf`	Scalable Spatiotemporal Graph Neural Networks. AAAI Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
2023	J	`jnl`	Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. Andrea Cini, Daniele Zambon, Cesare Alippi
2023	A*	`conf`	Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Where and How to Improve Graph-based Spatio-temporal Predictors. CoRR Daniele Zambon, Cesare Alippi
2022	—	`conf`	A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. SSCI Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. CoRR Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
2022	J	`jnl`	A transfer-learning approach for corrosion prediction in pipeline infrastructures. Appl. Intell. Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini
2022	A*	`conf`	AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs. NeurIPS Daniele Zambon, Cesare Alippi
2022	J	`jnl`	AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs. CoRR Daniele Zambon, Cesare Alippi
2022	J	`jnl`	Deep learning for time series forecasting: The electric load case. CAAI Trans. Intell. Technol. Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
2022	A*	`conf`	Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR Andrea Cini, Ivan Marisca, Cesare Alippi
2022	J	`jnl`	Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022	B	`conf`	Graph iForest: Isolation of anomalous and outlier graphs. IJCNN Daniele Zambon, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Input-to-State Representation in Linear Reservoirs Dynamics. IEEE Trans. Neural Networks Learn. Syst. Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino
2022	J	`jnl`	Known and unknown event detection in OTDR traces by deep learning networks. Neural Comput. Appl. Antonino Maria Rizzo, Luca Magri, Davide Rutigliano, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti, Giacomo Boracchi
2022	A*	`conf`	Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS Ivan Marisca, Andrea Cini, Cesare Alippi
2022	J	`jnl`	Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR Ivan Marisca, Andrea Cini, Cesare Alippi
2022	J	`jnl`	Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects. IEEE CAA J. Autom. Sinica Luca Butera, Alberto Ferrante, Mauro Jermini, Mauro Prevostini, Cesare Alippi
2022	J	`jnl`	Scalable Spatiotemporal Graph Neural Networks. CoRR Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
2022	J	`jnl`	Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante
2022	J	`jnl`	Sparse Graph Learning for Spatiotemporal Time Series. CoRR Andrea Cini, Daniele Zambon, Cesare Alippi
2022	B	`conf`	Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. IJCNN Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi
2022	B	`conf`	Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. IJCNN Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
2021	J	`jnl`	2021 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. Cesare Alippi
2021	J	`jnl`	A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. CoRR Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
2021	—	`conf`	A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures. I2MTC Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini
2021	B	`conf`	Birdsong Detection at the Edge with Deep Learning. SMARTCOMP Simone Disabato, Giuseppe Canonaco, Paul G. Flikkema, Manuel Roveri, Cesare Alippi
2021	B	`conf`	Deep learning for graphs. ESANN Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi
2021	J	`jnl`	Distributed Deep Convolutional Neural Networks for the Internet-of-Things. IEEE Trans. Computers Simone Disabato, Manuel Roveri, Cesare Alippi
2021	C	`conf`	Event-Detection Deep Neural Network for OTDR Trace Analysis. EANN Davide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti
2021	J	`jnl`	Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
2021	A*	`conf`	Graph Edit Networks. ICLR Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
2021	J	`jnl`	Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. IEEE Comput. Intell. Mag. Daniele Grattarola, Cesare Alippi
2021	J	`jnl`	Graph neural network-based fault diagnosis: a review. CoRR Zhiwen Chen, Jiamin Xu, Cesare Alippi, Steven X. Ding, Yuri A. W. Shardt, Tao Peng, Chunhua Yang
2021	A*	`conf`	Learning Graph Cellular Automata. NeurIPS Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2021	J	`jnl`	Learning Graph Cellular Automata. CoRR Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2021	J	`jnl`	Multivariate Time Series Imputation by Graph Neural Networks. CoRR Andrea Cini, Ivan Marisca, Cesare Alippi
2021	J	`jnl`	Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure. IEEE Trans. Cybern. Bo Zhao, Derong Liu, Cesare Alippi
2021	J	`jnl`	Understanding Pooling in Graph Neural Networks. CoRR Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2020	J	`jnl`	2020 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. Cesare Alippi
2020	J	`jnl`	Advances in deep neural information processing. Neurocomputing Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi
2020	J	`jnl`	Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi
2020	B	`conf`	Cluster-based Aggregate Load Forecasting with Deep Neural Networks. IJCNN Andrea Cini, Slobodan Lukovic, Cesare Alippi
2020	—	`conf`	Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach. I2MTC Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini
2020	J	`jnl`	Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks. IEEE CAA J. Autom. Sinica Haowei Lin, Bo Zhao, Derong Liu, Cesare Alippi
2020	J	`jnl`	Deep Reinforcement Learning with Weighted Q-Learning. CoRR Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi
2020	J	`jnl`	Graph Neural Networks in TensorFlow and Keras with Spektral. CoRR Daniele Grattarola, Cesare Alippi
2020	A*	`conf`	Graph Random Neural Features for Distance-Preserving Graph Representations. ICML Daniele Zambon, Cesare Alippi, Lorenzo Livi
2020	J	`jnl`	Input representation in recurrent neural networks dynamics. CoRR Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño
2020	J	`jnl`	Learn to Synchronize, Synchronize to Learn. CoRR Pietro Verzelli, Cesare Alippi, Lorenzo Livi
2020	B	`conf`	PIF: Anomaly detection via preference embedding. ICPR Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
2020	A*	`conf`	Spectral Clustering with Graph Neural Networks for Graph Pooling. ICML Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
2019	J	`jnl`	Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	B	`conf`	Autoregressive Models for Sequences of Graphs. IJCNN Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Autoregressive Models for Sequences of Graphs. CoRR Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. Daniele Zambon, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Deep Learning for Time Series Forecasting: The Electric Load Case. CoRR Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
2019	J	`jnl`	Distance-Preserving Graph Embeddings from Random Neural Features. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Distributed Deep Convolutional Neural Networks for the Internet-of-Things. CoRR Simone Disabato, Manuel Roveri, Cesare Alippi
2019	J	`jnl`	Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. CoRR Pietro Verzelli, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Graph Neural Networks with convolutional ARMA filters. CoRR Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	—	`conf`	Hyper-spherical Reservoirs for Echo State Networks. ICANN (Workshop) Pietro Verzelli, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Mincut pooling in Graph Neural Networks. CoRR Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
2018	J	`jnl`	A characterization of the Edge of Criticality in Binary Echo State Networks. CoRR Pietro Verzelli, Lorenzo Livi, Cesare Alippi
2018	—	`conf`	A characterization of the Edge of Criticality in Binary echo State Networks. MLSP Pietro Verzelli, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE Trans. Neural Networks Learn. Syst. Li Bu, Cesare Alippi, Dongbin Zhao
2018	J	`jnl`	Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2018	—	`ch.`	An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals. Multidisciplinary Approaches to Neural Computing Cesare Alippi, Wen Qi, Manuel Roveri
2018	B	`conf`	Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN Daniele Zambon, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR Daniele Zambon, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Change Point Methods on a Sequence of Graphs. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Trans. Neural Networks Learn. Syst. Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi
2018	J	`jnl`	Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
2018	J	`jnl`	Introduction to the IEEE CIS TC on Smart World (SWTC) [Society Briefs]. IEEE Comput. Intell. Mag. Jianhua Ma, Cesare Alippi, Laurence T. Yang, Huansheng Ning, Kevin I-Kai Wang
2018	J	`jnl`	Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	—	`conf`	Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. IPSN Cesare Alippi, Simone Disabato, Manuel Roveri
2018	—	`conf`	On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2018	A	`conf`	Security: the dark side of approximate computing? ICCAD Francesco Regazzoni, Cesare Alippi, Ilia Polian
2018	J	`jnl`	When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis. IACR Cryptol. ePrint Arch. Stjepan Picek, Annelie Heuser, Cesare Alippi, Francesco Regazzoni
2017	A*	`conf`	A lightweight and energy-efficient Internet-of-birds tracking system. PerCom Cesare Alippi, Roberto Ambrosini, Violetta Longoni, Dario Cogliati, Manuel Roveri
2017	—	`conf`	A spectrum-based adaptive sampling algorithm for smart sensing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Ilaria Scarabottolo, Cesare Alippi, Manuel Roveri
2017	J	`jnl`	An Incremental Change Detection Test Based on Density Difference Estimation. IEEE Trans. Syst. Man Cybern. Syst. Li Bu, Dongbin Zhao, Cesare Alippi
2017	J	`jnl`	Concept Drift and Anomaly Detection in Graph Streams. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2017	B	`conf`	Critical echo state network dynamics by means of Fisher information maximization. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi
2017	B	`conf`	Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. IJCNN Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau, Manuel Roveri
2017	—	`conf`	Detecting changes in sequences of attributed graphs. SSCI Daniele Zambon, Lorenzo Livi, Cesare Alippi
2017	J	`jnl`	Hierarchical Change-Detection Tests. IEEE Trans. Neural Networks Learn. Syst. Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2017	—	`conf`	Learning in Nonstationary Environments: A Hybrid Approach. ICAISC (2) Cesare Alippi, Wen Qi, Manuel Roveri
2017	J	`jnl`	Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. Intell. Cesare Alippi, Stavros Ntalampiras, Manuel Roveri
2017	J	`jnl`	One-Class Classifiers Based on Entropic Spanning Graphs. IEEE Trans. Neural Networks Learn. Syst. Lorenzo Livi, Cesare Alippi
2017	J	`jnl`	Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach. IEEE Trans. Cybern. Sen Bong Gee, Kay Chen Tan, Cesare Alippi
2017	J	`jnl`	The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework. Computer Cesare Alippi, Manuel Roveri
2016	J	`jnl`	A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things. IEEE Commun. Mag. Cesare Alippi, Romano Fantacci, Dania Marabissi, Manuel Roveri
2016	J	`jnl`	A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting. IEEE Syst. J. Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2016	J	`jnl`	A unique timely moment for embedding intelligence in applications. CAAI Trans. Intell. Technol. Cesare Alippi
2016	—	`conf`	CCM: Controlling the Change Magnitude in High Dimensional Data. INNS Conference on Big Data Cesare Alippi, Giacomo Boracchi, Diego Carrera
2016	A*	`conf`	Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss. IJCAI Cesare Alippi, Giacomo Boracchi, Diego Carrera, Manuel Roveri
2016	—	`conf`	Designing HMMs in the Age of Big Data. INNS Conference on Big Data Cesare Alippi, Stavros Ntalampiras, Manuel Roveri
2016	J	`jnl`	Determination of the edge of criticality in echo state networks through Fisher information maximization. CoRR Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
2016	B	`conf`	Ensemble LSDD-based change detection tests. IJCNN Li Bu, Cesare Alippi, Dongbin Zhao
2016	J	`jnl`	Investigating echo state networks dynamics by means of recurrence analysis. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2016	J	`jnl`	Model Complexity, Regularization, and Sparsity [Guest Editorial]. IEEE Comput. Intell. Mag. Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg
2016	J	`jnl`	Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen
2016	B	`conf`	One-class classification through mutual information minimization. IJCNN Lorenzo Livi, Cesare Alippi
2016	J	`jnl`	One-class classifiers based on entropic spanning graphs. CoRR Lorenzo Livi, Cesare Alippi
2016	B	`conf`	Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. IJCNN Cesare Alippi, Stavros Ntalampiras, Manuel Roveri
2016	J	`jnl`	RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. IEEE Trans. Mob. Comput. Cesare Alippi, Maurizio Bocca, Giacomo Boracchi, Neal Patwari, Manuel Roveri
2015	—	`conf`	A Pdf-Free Change Detection Test for Data Streams Monitoring. SSCI Li Bu, Dongbin Zhao, Cesare Alippi
2015	—	`ch.`	Algorithms and Tools for Intelligent Monitoring of Critical Infrastructure Systems. Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems Cesare Alippi, Romolo Camplani, Antonio Marullo, Manuel Roveri
2015	J	`jnl`	Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports]. IEEE Comput. Intell. Mag. Haibo He, Cesare Alippi
2015	B	`conf`	Credit card fraud detection and concept-drift adaptation with delayed supervised information. IJCNN Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi
2015	J	`jnl`	Learning in Nonstationary Environments: A Survey. IEEE Comput. Intell. Mag. Gregory Ditzler, Manuel Roveri, Cesare Alippi, Robi Polikar
2014	J	`jnl`	A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. IEEE Trans. Neural Networks Learn. Syst. Cesare Alippi, Manuel Roveri, Francesco Trovò
2014	Misc	`conf`	Change detection in streams of signals with sparse representations. ICASSP Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg
2014	J	`jnl`	Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. IEEE Trans. Syst. Man Cybern. Syst. Cesare Alippi, Derong Liu, Dongbin Zhao, Li Bu
2014	J	`jnl`	Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. Neurocomputing Bin Wang, Dongbin Zhao, Cesare Alippi, Derong Liu
2014	J	`jnl`	Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu, Ding Wang
2014	J	`jnl`	Guest Editorial Learning in Nonstationary and Evolving Environments. IEEE Trans. Neural Networks Learn. Syst. Robi Polikar, Cesare Alippi
2014	C	`conf`	Learning causal dependencies to etect and diagnose faults in sensor networks. IES Cesare Alippi, Manuel Roveri, Francesco Trovò
2014	—	`conf`	Learning in Non-stationary Environments. IJCCI (ECTA) Cesare Alippi
2014	—	`conf`	Lightweight cryptography for constrained devices. ISIC Cesare Alippi, Andrey Bogdanov, Francesco Regazzoni
2014	J	`jnl`	RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. CoRR Cesare Alippi, Maurizio Bocca, Giacomo Boracchi, Neal Patwari, Manuel Roveri
2013	J	`jnl`	A Cognitive Fault Diagnosis System for Distributed Sensor Networks. IEEE Trans. Neural Networks Learn. Syst. Cesare Alippi, Stavros Ntalampiras, Manuel Roveri
2013	J	`jnl`	A high-frequency sampling monitoring system for environmental and structural applications. ACM Trans. Sens. Networks Cesare Alippi, Romolo Camplani, Cristian Galperti, Antonio Marullo, Manuel Roveri
2013	—	`conf`	A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks. PE-WASUN Simone Brienza, Domenico De Guglielmo, Cesare Alippi, Giuseppe Anastasi, Manuel Roveri
2013	B	`conf`	A prior-free encode-decode change detection test to inspect datastreams for concept drift. IJCNN Cesare Alippi, Li Bu, Dongbin Zhao
2013	—	`ed.`	Advances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings BICS Derong Liu, Cesare Alippi, Dongbin Zhao, Amir Hussain
2013	J	`jnl`	Ensembles of change-point methods to estimate the change point in residual sequences. Soft Comput. Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2013	J	`jnl`	IEEE CIS Education Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. Cesare Alippi
2013	J	`jnl`	Just-In-Time Classifiers for Recurrent Concepts. IEEE Trans. Neural Networks Learn. Syst. Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2013	B	`conf`	Model ensemble for an effective on-line reconstruction of missing data in sensor networks. IJCNN Cesare Alippi, Stavros Ntalampiras, Manuel Roveri
2013	J	`jnl`	Special issue on intelligent control and information processing. Soft Comput. Dongbin Zhao, Cesare Alippi, Derong Liu, Huaguang Zhang
2013	—	`conf`	Temporal/spatial model-based fault diagnosis vs. Hidden Markov models change detection method: Application to the Barcelona water network. MED Joseba Quevedo, Cesare Alippi, Miquel Àngel Cugueró, Stavros Ntalampiras, Vicenç Puig, Manuel Roveri, Diego García
2012	J	`jnl`	2013 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. Cesare Alippi
2012	—	`conf`	A "Learning from Models" Cognitive Fault Diagnosis System. ICANN (2) Cesare Alippi, Manuel Roveri, Francesco Trovò
2012	J	`jnl`	A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks Jean-Philippe Thivierge, Ali A. Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos
2012	—	`ed.`	Advances in Computational Intelligence - IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures WCCI Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, Hussein A. Abbass
2012	B	`conf`	An HMM-based change detection method for intelligent embedded sensors. IJCNN Cesare Alippi, Stavros Ntalampiras, Manuel Roveri
2012	J	`jnl`	Data-driven optimal algorithms and their applications to pattern recognition. Neurocomputing Huaguang Zhang, Cesare Alippi, Dongbin Zhao
2012	B	`conf`	Just-in-time ensemble of classifiers. IJCNN Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2012	B	`conf`	Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks. MASS Cesare Alippi, Romolo Camplani, Manuel Roveri, Gabriele Viscardi
2012	B	`conf`	On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy. IJCNN Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2012	—	`conf`	SVM-Based Just-in-Time Adaptive Classifiers. ICONIP (2) Cesare Alippi, Li Bu, Dongbin Zhao
2012	—	`ch.`	Wireless Sensor Networks for Monitoring Vineyards. ArtDeco Cesare Alippi, Giacomo Boracchi, Romolo Camplani, Manuel Roveri
2011	—	`conf`	A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks. ICANN (2) Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2011	B	`conf`	A hierarchical, nonparametric, sequential change-detection test. IJCNN Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2011	J	`jnl`	A just-in-time adaptive classification system based on the intersection of confidence intervals rule. Neural Networks Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2011	—	`ed.`	Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part I ISNN (1) Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He
2011	—	`ed.`	Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part II ISNN (2) Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He
2011	—	`ed.`	Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part III ISNN (3) Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He
2011	B	`conf`	An effective just-in-time adaptive classifier for gradual concept drifts. IJCNN Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2011	J	`jnl`	Editorial - TIM Special Section on the IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009). IEEE Trans. Instrum. Meas. Cesare Alippi, Pierre Payeur
2010	—	`conf`	Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management. ICANN (2) Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2010	J	`jnl`	An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors. IEEE Trans. Instrum. Meas. Cesare Alippi, Giuseppe Anastasi, Mario Di Francesco, Manuel Roveri
2010	B	`conf`	An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. MASS Cesare Alippi, Romolo Camplani, Cristian Galperti, Antonio Marullo, Manuel Roveri
2010	B	`conf`	Change detection tests using the ICI rule. IJCNN Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2010	J	`jnl`	Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks. IEEE Trans. Instrum. Meas. Cesare Alippi, Giacomo Boracchi, Romolo Camplani, Manuel Roveri
2010	—	`conf`	Robust hybrid wired-wireless sensor networks. PerCom Workshops Cesare Alippi, Luigi Sportiello
2010	B	`conf`	Virtual k-fold cross validation: An effective method for accuracy assessment. IJCNN Cesare Alippi, Manuel Roveri
2009	—	`conf`	A virtual machine for energy management in WSNs. ROSE Cesare Alippi, Romolo Camplani, Manuel Roveri
2009	J	`jnl`	An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm. IEEE Trans. Instrum. Meas. Cesare Alippi, Romolo Camplani, Manuel Roveri
2009	—	`ed.`	Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I ICANN (1) Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas
2009	—	`ed.`	Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II ICANN (2) Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas
2009	—	`conf`	Detecting drops on lens in wireless multimedia sensor network nodes. ROSE Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2009	B	`conf`	Just in time classifiers: Managing the slow drift case. IJCNN Cesare Alippi, Giacomo Boracchi, Manuel Roveri
2008	J	`jnl`	An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes. IEEE Trans. Circuits Syst. I Regul. Pap. Cesare Alippi, Cristian Galperti
2008	J	`jnl`	Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. IEEE Trans. Neural Networks Cesare Alippi, Manuel Roveri
2008	J	`jnl`	Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. IEEE Trans. Neural Networks Cesare Alippi, Manuel Roveri
2008	B	`conf`	k-NN classifiers: Investigating the k=k(n) relationship. IJCNN Cesare Alippi, M. Fuhrman, Manuel Roveri
2007	—	`conf`	A Hierarchical LLC Routing Algorithm for WSNs. ROSE Cesare Alippi, Romolo Camplani, Manuel Roveri
2007	B	`conf`	Adaptive Classifiers in Stationary Conditions. IJCNN Cesare Alippi, Manuel Roveri
2007	B	`conf`	Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications. MASS Cesare Alippi, Giuseppe Anastasi, Cristian Galperti, Francesca Mancini, Manuel Roveri
2007	B	`conf`	Just-in-time Adaptive Classifiers in Non-Stationary Conditions. IJCNN Cesare Alippi, Manuel Roveri
2007	—	`conf`	Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions. ROSE Cesare Alippi, Romolo Camplani, Cristian Galperti
2006	—	`conf`	A RSSI-based and calibrated centralized localization technique forWireless Sensor Networks. PerCom Workshops Cesare Alippi, Giovanni Vanini
2006	B	`conf`	A computational intelligence-based criterion to detect non-stationarity trends. IJCNN Cesare Alippi, Manuel Roveri
2006	C	`conf`	A statistical approach to localize passive RFIDs. ISCAS Cesare Alippi, D. Cogliati, Giovanni Vanini
2006	C	`conf`	An adaptive CUSUM-based test for signal change detection. ISCAS Cesare Alippi, Manuel Roveri
2006	C	`conf`	An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes. ISCAS Cesare Alippi, Cristian Galperti
2006	A*	`conf`	Application-based routing optimization in static/semi-staticWireless Sensor Networks. PerCom Cesare Alippi, Giovanni Vanini
2006	J	`jnl`	Classification methods and inductive learning rules: what we may learn from theory. IEEE Trans. Syst. Man Cybern. Syst. Cesare Alippi, Pietro Braione
2006	J	`jnl`	Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers. IEEE Trans. Neural Networks Cesare Alippi, Fabio Scotti
2006	—	`conf`	Particle Filters for Rss-Based Localization in Wireless Sensor Networks: An Experimental Study. ICASSP (4) Carlo Morelli, Monica Nicoli, Vittorio Rampa, Umberto Spagnolini, Cesare Alippi
2005	—	`conf`	A RF map-based localization algorithm for indoor environments. ISCAS (1) Cesare Alippi, Alan Mottarella, Giovanni Vanini
2005	—	`conf`	An adaptive system for automatic invoice-documents classification. ICIP (2) Cesare Alippi, F. Pessina, Manuel Roveri
2005	—	`conf`	An application-level methodology to guide the design of intelligent-processing, power-aware passive RFIDs. ISCAS (6) Cesare Alippi, Giovanni Vanini
2005	J	`jnl`	Automated selection of test frequencies for fault diagnosis in analog electronic circuits. IEEE Trans. Instrum. Meas. Cesare Alippi, Marcantonio Catelani, Ada Fort, Marco Mugnaini
2005	—	`conf`	Exploiting application locality to design fast, low power, low complexity neural classifiers. ISCAS (5) Cesare Alippi, Fabio Scotti
2005	—	`ch.`	Perturbations, Accuracy and Robustness in Neural Networks. Encyclopedia of Information Science and Technology (IV) Cesare Alippi, Giovanni Vanini
2004	B	`conf`	A training-time analysis of robustness in feed-forward neural networks. IJCNN Cesare Alippi, Daniele Sana, Fabio Scotti
2003	J	`jnl`	A neural-network based control solution to air-fuel ratio control for automotive fuel-injection systems. IEEE Trans. Syst. Man Cybern. Part C Cesare Alippi, Cosimo de Russis, Vincenzo Piuri
2003	J	`jnl`	An application-level synthesis methodology for multidimensional embedded processing systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Cesare Alippi, Andrea Galbusera, Marco Stellini
2003	—	`conf`	High level accuracy loss estimates for a class of analog/digital systems. ISCAS (4) Cesare Alippi, Marco Stellini
2002	J	`jnl`	A probably approximately correct framework to estimate performancedegradation in embedded systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Cesare Alippi
2002	—	`conf`	An application level synthesis methodology for embedded systems. ISCAS (5) Cesare Alippi, Andrea Galbusera, Marco Stellini
2002	J	`jnl`	Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation. IEEE Trans. Computers Cesare Alippi
2002	J	`jnl`	SBT soft fault diagnosis in analog electronic circuits: a sensitivity-based approach by randomized algorithms. IEEE Trans. Instrum. Meas. Cesare Alippi, Marcantonio Catelani, Ada Fort, Marco Mugnaini
2001	—	`conf`	A system-level analysis of robustness by randomised algorithms. ICECS Cesare Alippi
2001	C	`conf`	Determining the Optimum Extended Instruction-Set Architecture for Application Specific Reconfigurable VLIW CPUs. IEEE International Workshop on Rapid System Prototyping Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami
2000	—	`conf`	A Methodology for Example-Based Specification and Design. IJCNN (3) Cesare Alippi, Stefano Ferrari, Vincenzo Piuri
2000	J	`jnl`	Composite real-time image processing for railways track profile measurement. IEEE Trans. Instrum. Meas. Cesare Alippi, Ettore Casagrande, Fabio Scotti, Vincenzo Piuri
2000	A	`conf`	Determining the optimum extended instruction-set architecture for application specific reconfigurable VLIW CPUs (poster abstract). FPGA Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami
1999	A	`conf`	A DAG-Based Design Approach for Reconfigurable VLIW Processors. DATE Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami
1999	—	`conf`	Feedforward neural networks with improved insensitivity abilities. ISCAS (5) Cesare Alippi
1999	J	`jnl`	Introduction to Special Issue. Integr. Comput. Aided Eng. Cesare Alippi, Vincenzo Piuri
1999	J	`jnl`	NeSS: a Simulation Environment for Behavioral Design of Neural Networks for Prediction and Control. Integr. Comput. Aided Eng. Cesare Alippi, Fabio Casamatta, Leonardo Furlan, Andrea Pelagotti, Vincenzo Piuri
1999	J	`jnl`	Neural modeling of dynamic systems with nonmeasurable state variables. IEEE Trans. Instrum. Meas. Cesare Alippi, Vincenzo Piuri
1998	J	`jnl`	Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing. IEEE Trans. Computers Cesare Alippi, Luciano Briozzo
1998	J	`jnl`	Artificial neural networks. J. Syst. Archit. Vincenzo Piuri, Cesare Alippi
1998	J	`jnl`	Testability analysis and behavioral testing of the Hopfield neural paradigm. IEEE Trans. Very Large Scale Integr. Syst. Cesare Alippi, Franco Fummi, Vincenzo Piuri, Mariagiovanna Sami, Donatella Sciuto
1996	—	`conf`	Extending the FPE and the effective number of parameters to neural estimators. ICNN Cesare Alippi
1995	—	`conf`	Control of the underexcitation mode of synchronous machines in power plants. ICNN Cesare Alippi, Fabio Casamatta, Leonardo Furlan
1995	C	`conf`	Off-Line Performance Maximisation in Feed-Forward Neural Networks by Applying Virtual Neurons and Covariance Transformations. ISCAS Cesare Alippi, Raffaele Petracca, Vincenzo Piuri
1995	J	`jnl`	Real-time analysis of ships in radar images with neural networks. Pattern Recognit. Cesare Alippi
1994	J	`jnl`	Genetic-Algorithm Programming Environments. Computer José L. Ribeiro Filho, Philip C. Treleaven, Cesare Alippi
1994	C	`conf`	Sensitivity to Errors in Artificial Neural Networks: a Behavioural Approach. ISCAS Cesare Alippi, Vincenzo Piuri, Mariagiovanna Sami
1994	C	`conf`	Setting and Validating Precision Requirements in the Digital VLSI Implementation of a Neural Defect-Identifier for Machined Objects. ISCAS Cesare Alippi, Luciano Briozzo
1993	—	`conf`	System Level Policies for Fault Tolerance Issues in the FERMI Project. DFT A. Dell'Acqua, M. Hansen, Sami J. Inkinen, B. Lofstedt, J. P. Vanuxem, Christer Svensson, Jiren Yuan, H. Hentzell, L. Del Buono, J. David, J. F. Genat, H. Lebbolo, O. LeDortz, P. Nayman, Aurore Savoy-Navarro, R. Zitoun, Cesare Alippi, Luca Breveglieri, Luigi Dadda, Vincenzo Piuri, Fabio Salice, Mariagiovanna Sami, Renato Stefanelli, P. Cattaneo, G. Fumagalli, G. Goggi, Simona Brigati, Umberto Gatti, Franco Maloberti, Guido Torelli, P. Carlson, A. Kerek, Goran Appelquist, S. Berglund, C. Bohm, Magnus Engström, N. Yamdagni, Rolf Sundblad, I. Höglund, S. T. Persson
1992	J	`jnl`	Galatea neural VLSI architectures: Communication and control considerations. Microprocess. Microprogramming Cesare Alippi, Marley M. B. R. Vellasco
1991	J	`jnl`	Iiistological image understanding by error backpropagation. Microprocessing and Microprogramming Apostolos Nikolaos Refenes, Cesare Alippi
1991	J	`jnl`	The determination of angular values and parameters in flat surfaces: from the mathematical approach to the CORDIC architecture. Microprocessing and Microprogramming Cesare Alippi