The determination of angular values and parameters in flat surfaces: from the mathematical approach to the CORDIC architecture. - Cesare Alippi (Microprocessing and Microprogramming, 1991)

Iiistological image understanding by error backpropagation. - Apostolos Nikolaos Refenes; Cesare Alippi (Microprocessing and Microprogramming, 1991)

Galatea neural VLSI architectures: Communication and control considerations. - Cesare Alippi; Marley M. B. R. Vellasco (Microprocess. Microprogramming, 1992)

System Level Policies for Fault Tolerance Issues in the FERMI Project. - 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; et al. (DFT, 1993)

Setting and Validating Precision Requirements in the Digital VLSI Implementation of a Neural Defect-Identifier for Machined Objects. - Cesare Alippi; Luciano Briozzo (ISCAS, 1994)

Sensitivity to Errors in Artificial Neural Networks: a Behavioural Approach. - Cesare Alippi; Vincenzo Piuri; Mariagiovanna Sami (ISCAS, 1994)

Genetic-Algorithm Programming Environments. - José L. Ribeiro Filho; Philip C. Treleaven; Cesare Alippi (Computer, 1994)

Control of the underexcitation mode of synchronous machines in power plants. - Cesare Alippi; Fabio Casamatta; Leonardo Furlan (ICNN, 1995)

Off-Line Performance Maximisation in Feed-Forward Neural Networks by Applying Virtual Neurons and Covariance Transformations. - Cesare Alippi; Raffaele Petracca; Vincenzo Piuri (ISCAS, 1995)

Real-time analysis of ships in radar images with neural networks. - Cesare Alippi (Pattern Recognit., 1995)

Extending the FPE and the effective number of parameters to neural estimators. - Cesare Alippi (ICNN, 1996)

Artificial neural networks. - Vincenzo Piuri; Cesare Alippi (J. Syst. Archit., 1998)

Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing. - Cesare Alippi; Luciano Briozzo (IEEE Trans. Computers, 1998)

Testability analysis and behavioral testing of the Hopfield neural paradigm. - Cesare Alippi; Franco Fummi; Vincenzo Piuri; Mariagiovanna Sami; Donatella Sciuto (IEEE Trans. Very Large Scale Integr. Syst., 1998)

A DAG-Based Design Approach for Reconfigurable VLIW Processors. - Cesare Alippi; William Fornaciari; Laura Pozzi 001; Mariagiovanna Sami (DATE, 1999)

Feedforward neural networks with improved insensitivity abilities. - Cesare Alippi (ISCAS (5), 1999)

NeSS: a Simulation Environment for Behavioral Design of Neural Networks for Prediction and Control. - Cesare Alippi; Fabio Casamatta; Leonardo Furlan; Andrea Pelagotti; Vincenzo Piuri (Integr. Comput. Aided Eng., 1999)

Introduction to Special Issue. - Cesare Alippi; Vincenzo Piuri (Integr. Comput. Aided Eng., 1999)

Neural modeling of dynamic systems with nonmeasurable state variables. - Cesare Alippi; Vincenzo Piuri (IEEE Trans. Instrum. Meas., 1999)

Determining the optimum extended instruction-set architecture for application specific reconfigurable VLIW CPUs (poster abstract). - Cesare Alippi; William Fornaciari; Laura Pozzi 001; Mariagiovanna Sami (FPGA, 2000)

A Methodology for Example-Based Specification and Design. - Cesare Alippi; Stefano Ferrari; Vincenzo Piuri (IJCNN (3), 2000)

Composite real-time image processing for railways track profile measurement. - Cesare Alippi; Ettore Casagrande; Fabio Scotti; Vincenzo Piuri (IEEE Trans. Instrum. Meas., 2000)

A system-level analysis of robustness by randomised algorithms. - Cesare Alippi (ICECS, 2001)

Determining the Optimum Extended Instruction-Set Architecture for Application Specific Reconfigurable VLIW CPUs. - Cesare Alippi; William Fornaciari; Laura Pozzi 001; Mariagiovanna Sami (IEEE International Workshop on Rapid System Prototyping, 2001)

An application level synthesis methodology for embedded systems. - Cesare Alippi; Andrea Galbusera; Marco Stellini (ISCAS (5), 2002)

Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation. - Cesare Alippi (IEEE Trans. Computers, 2002)

A probably approximately correct framework to estimate performancedegradation in embedded systems. - Cesare Alippi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2002)

SBT soft fault diagnosis in analog electronic circuits: a sensitivity-based approach by randomized algorithms. - Cesare Alippi; Marcantonio Catelani; Ada Fort; Marco Mugnaini (IEEE Trans. Instrum. Meas., 2002)

High level accuracy loss estimates for a class of analog/digital systems. - Cesare Alippi; Marco Stellini (ISCAS (4), 2003)

An application-level synthesis methodology for multidimensional embedded processing systems. - Cesare Alippi; Andrea Galbusera; Marco Stellini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2003)

A neural-network based control solution to air-fuel ratio control for automotive fuel-injection systems. - Cesare Alippi; Cosimo de Russis; Vincenzo Piuri (IEEE Trans. Syst. Man Cybern. Part C, 2003)

A training-time analysis of robustness in feed-forward neural networks. - Cesare Alippi; Daniele Sana; Fabio Scotti (IJCNN, 2004)

Perturbations, Accuracy and Robustness in Neural Networks. - Cesare Alippi; Giovanni Vanini (Encyclopedia of Information Science and Technology (IV), 2005)

An adaptive system for automatic invoice-documents classification. - Cesare Alippi; F. Pessina; Manuel Roveri (ICIP (2), 2005)

A RF map-based localization algorithm for indoor environments. - Cesare Alippi; Alan Mottarella; Giovanni Vanini (ISCAS (1), 2005)

Exploiting application locality to design fast, low power, low complexity neural classifiers. - Cesare Alippi; Fabio Scotti (ISCAS (5), 2005)

An application-level methodology to guide the design of intelligent-processing, power-aware passive RFIDs. - Cesare Alippi; Giovanni Vanini (ISCAS (6), 2005)

Automated selection of test frequencies for fault diagnosis in analog electronic circuits. - Cesare Alippi; Marcantonio Catelani; Ada Fort; Marco Mugnaini (IEEE Trans. Instrum. Meas., 2005)

Particle Filters for Rss-Based Localization in Wireless Sensor Networks: An Experimental Study. - Carlo Morelli; Monica Nicoli; Vittorio Rampa; Umberto Spagnolini; Cesare Alippi (ICASSP (4), 2006)

A computational intelligence-based criterion to detect non-stationarity trends. - Cesare Alippi; Manuel Roveri (IJCNN, 2006)

A statistical approach to localize passive RFIDs. - Cesare Alippi; D. Cogliati; Giovanni Vanini (ISCAS, 2006)

An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes. - Cesare Alippi; Cristian Galperti (ISCAS, 2006)

An adaptive CUSUM-based test for signal change detection. - Cesare Alippi; Manuel Roveri (ISCAS, 2006)

Application-based routing optimization in static/semi-staticWireless Sensor Networks. - Cesare Alippi; Giovanni Vanini (PerCom, 2006)

A RSSI-based and calibrated centralized localization technique forWireless Sensor Networks. - Cesare Alippi; Giovanni Vanini (PerCom Workshops, 2006)

Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers. - Cesare Alippi; Fabio Scotti (IEEE Trans. Neural Networks, 2006)

Classification methods and inductive learning rules: what we may learn from theory. - Cesare Alippi; Pietro Braione (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Adaptive Classifiers in Stationary Conditions. - Cesare Alippi; Manuel Roveri (IJCNN, 2007)

Just-in-time Adaptive Classifiers in Non-Stationary Conditions. - Cesare Alippi; Manuel Roveri (IJCNN, 2007)

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications. - Cesare Alippi; Giuseppe Anastasi; Cristian Galperti; Francesca Mancini; Manuel Roveri (MASS, 2007)

Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions. - Cesare Alippi; Romolo Camplani; Cristian Galperti (ROSE, 2007)

A Hierarchical LLC Routing Algorithm for WSNs. - Cesare Alippi; Romolo Camplani; Manuel Roveri (ROSE, 2007)

k-NN classifiers: Investigating the k=k(n) relationship. - Cesare Alippi; M. Fuhrman; Manuel Roveri (IJCNN, 2008)

An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes. - Cesare Alippi; Cristian Galperti (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. - Cesare Alippi; Manuel Roveri (IEEE Trans. Neural Networks, 2008)

Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. - Cesare Alippi; Manuel Roveri (IEEE Trans. Neural Networks, 2008)

Just in time classifiers: Managing the slow drift case. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2009)

Detecting drops on lens in wireless multimedia sensor network nodes. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (ROSE, 2009)

A virtual machine for energy management in WSNs. - Cesare Alippi; Romolo Camplani; Manuel Roveri (ROSE, 2009)

An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm. - Cesare Alippi; Romolo Camplani; Manuel Roveri (IEEE Trans. Instrum. Meas., 2009)

Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (ICANN (2), 2010)

Change detection tests using the ICI rule. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2010)

Virtual k-fold cross validation: An effective method for accuracy assessment. - Cesare Alippi; Manuel Roveri (IJCNN, 2010)

An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. - Cesare Alippi; Romolo Camplani; Cristian Galperti; Antonio Marullo; Manuel Roveri (MASS, 2010)

Robust hybrid wired-wireless sensor networks. - Cesare Alippi; Luigi Sportiello (PerCom Workshops, 2010)

An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors. - Cesare Alippi; Giuseppe Anastasi; Mario Di Francesco; Manuel Roveri (IEEE Trans. Instrum. Meas., 2010)

Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks. - Cesare Alippi; Giacomo Boracchi; Romolo Camplani; Manuel Roveri (IEEE Trans. Instrum. Meas., 2010)

A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (ICANN (2), 2011)

An effective just-in-time adaptive classifier for gradual concept drifts. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2011)

A hierarchical, nonparametric, sequential change-detection test. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2011)

A just-in-time adaptive classification system based on the intersection of confidence intervals rule. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (Neural Networks, 2011)

Editorial - TIM Special Section on the IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009). - Cesare Alippi; Pierre Payeur (IEEE Trans. Instrum. Meas., 2011)

A "Learning from Models" Cognitive Fault Diagnosis System. - Cesare Alippi; Manuel Roveri; Francesco Trovò (ICANN (2), 2012)

SVM-Based Just-in-Time Adaptive Classifiers. - Cesare Alippi; Li Bu; Dongbin Zhao (ICONIP (2), 2012)

Just-in-time ensemble of classifiers. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2012)

On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2012)

An HMM-based change detection method for intelligent embedded sensors. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IJCNN, 2012)

Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks. - Cesare Alippi; Romolo Camplani; Manuel Roveri; Gabriele Viscardi (MASS, 2012)

2013 IEEE CIS Awards [Society Briefs]. - Cesare Alippi (IEEE Comput. Intell. Mag., 2012)

Data-driven optimal algorithms and their applications to pattern recognition. - Huaguang Zhang; Cesare Alippi; Dongbin Zhao (Neurocomputing, 2012)

A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. - Jean-Philippe Thivierge; Ali A. Minai; Hava T. Siegelmann; Cesare Alippi; Michael Georgiopoulos (Neural Networks, 2012)

Wireless Sensor Networks for Monitoring Vineyards. - Cesare Alippi; Giacomo Boracchi; Romolo Camplani; Manuel Roveri (ArtDeco, 2012)

A prior-free encode-decode change detection test to inspect datastreams for concept drift. - Cesare Alippi; Li Bu; Dongbin Zhao (IJCNN, 2013)

Model ensemble for an effective on-line reconstruction of missing data in sensor networks. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IJCNN, 2013)

Temporal/spatial model-based fault diagnosis vs. Hidden Markov models change detection method: Application to the Barcelona water network. - Joseba Quevedo; Cesare Alippi; Miquel Àngel Cugueró; Stavros Ntalampiras; Vicenç Puig; Manuel Roveri; Diego García (MED, 2013)

A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks. - Simone Brienza; Domenico De Guglielmo; Cesare Alippi; Giuseppe Anastasi; Manuel Roveri (PE-WASUN, 2013)

IEEE CIS Education Activities Vision Statement [Society Briefs]. - Cesare Alippi (IEEE Comput. Intell. Mag., 2013)

Ensembles of change-point methods to estimate the change point in residual sequences. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (Soft Comput., 2013)

Special issue on intelligent control and information processing. - Dongbin Zhao; Cesare Alippi; Derong Liu 001; Huaguang Zhang (Soft Comput., 2013)

Just-In-Time Classifiers for Recurrent Concepts. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2013)

A Cognitive Fault Diagnosis System for Distributed Sensor Networks. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2013)

A high-frequency sampling monitoring system for environmental and structural applications. - Cesare Alippi; Romolo Camplani; Cristian Galperti; Antonio Marullo; Manuel Roveri (ACM Trans. Sens. Networks, 2013)

Change detection in streams of signals with sparse representations. - Cesare Alippi; Giacomo Boracchi; Brendt Wohlberg (ICASSP, 2014)

Learning causal dependencies to etect and diagnose faults in sensor networks. - Cesare Alippi; Manuel Roveri; Francesco Trovò (IES, 2014)

Learning in Non-stationary Environments. - Cesare Alippi (IJCCI (ECTA), 2014)

Lightweight cryptography for constrained devices. - Cesare Alippi; Andrey Bogdanov; Francesco Regazzoni 001 (ISIC, 2014)

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. - Bin Wang 034; Dongbin Zhao; Cesare Alippi; Derong Liu 001 (Neurocomputing, 2014)

Full-range adaptive cruise control based on supervised adaptive dynamic programming. - Dongbin Zhao; Zhaohui Hu; Zhongpu Xia; Cesare Alippi; Yuanheng Zhu; Ding Wang 001 (Neurocomputing, 2014)

A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. - Cesare Alippi; Manuel Roveri; Francesco Trovò (IEEE Trans. Neural Networks Learn. Syst., 2014)

Guest Editorial Learning in Nonstationary and Evolving Environments. - Robi Polikar; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2014)

Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. - Cesare Alippi; Derong Liu 001; Dongbin Zhao; Li Bu (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Credit card fraud detection and concept-drift adaptation with delayed supervised information. - Andrea Dal Pozzolo; Giacomo Boracchi; Olivier Caelen; Cesare Alippi; Gianluca Bontempi (IJCNN, 2015)

A Pdf-Free Change Detection Test for Data Streams Monitoring. - Li Bu; Dongbin Zhao; Cesare Alippi (SSCI, 2015)

Learning in Nonstationary Environments: A Survey. - Gregory Ditzler; Manuel Roveri; Cesare Alippi; Robi Polikar (IEEE Comput. Intell. Mag., 2015)

Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports]. - Haibo He; Cesare Alippi (IEEE Comput. Intell. Mag., 2015)

Algorithms and Tools for Intelligent Monitoring of Critical Infrastructure Systems. - Cesare Alippi; Romolo Camplani; Antonio Marullo; Manuel Roveri (Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems, 2015)

Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss. - Cesare Alippi; Giacomo Boracchi; Diego Carrera; Manuel Roveri (IJCAI, 2016)

Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IJCNN, 2016)

Ensemble LSDD-based change detection tests. - Li Bu; Cesare Alippi; Dongbin Zhao (IJCNN, 2016)

One-class classification through mutual information minimization. - Lorenzo Livi; Cesare Alippi (IJCNN, 2016)

CCM: Controlling the Change Magnitude in High Dimensional Data. - Cesare Alippi; Giacomo Boracchi; Diego Carrera (INNS Conference on Big Data, 2016)

Designing HMMs in the Age of Big Data. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (INNS Conference on Big Data, 2016)

A unique timely moment for embedding intelligence in applications. - Cesare Alippi (CAAI Trans. Intell. Technol., 2016)

Model Complexity, Regularization, and Sparsity [Guest Editorial]. - Cesare Alippi; Giacomo Boracchi; Brendt Wohlberg (IEEE Comput. Intell. Mag., 2016)

A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things. - Cesare Alippi; Romano Fantacci; Dania Marabissi; Manuel Roveri (IEEE Commun. Mag., 2016)

Multiplex visibility graphs to investigate recurrent neural networks dynamics. - Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi; Robert Jenssen (CoRR, 2016)

A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IEEE Syst. J., 2016)

RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. - Cesare Alippi; Maurizio Bocca; Giacomo Boracchi; Neal Patwari; Manuel Roveri (IEEE Trans. Mob. Comput., 2016)

Learning in Nonstationary Environments: A Hybrid Approach. - Cesare Alippi; Wen Qi; Manuel Roveri (ICAISC (2), 2017)

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 (IJCNN, 2017)

Critical echo state network dynamics by means of Fisher information maximization. - Filippo Maria Bianchi; Lorenzo Livi; Robert Jenssen; Cesare Alippi (IJCNN, 2017)

A lightweight and energy-efficient Internet-of-birds tracking system. - Cesare Alippi; Roberto Ambrosini; Violetta Longoni; Dario Cogliati; Manuel Roveri (PerCom, 2017)

Detecting changes in sequences of attributed graphs. - Daniele Zambon; Lorenzo Livi; Cesare Alippi (SSCI, 2017)

A spectrum-based adaptive sampling algorithm for smart sensing. - Ilaria Scarabottolo; Cesare Alippi; Manuel Roveri (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework. - Cesare Alippi; Manuel Roveri (Computer, 2017)

Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach. - Sen Bong Gee; Kay Chen Tan; Cesare Alippi (IEEE Trans. Cybern., 2017)

Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Hierarchical Change-Detection Tests. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2017)

One-Class Classifiers Based on Entropic Spanning Graphs. - Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2017)

An Incremental Change Detection Test Based on Density Difference Estimation. - Li Bu; Dongbin Zhao; Cesare Alippi (IEEE Trans. Syst. Man Cybern. Syst., 2017)

On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. - Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Security: the dark side of approximate computing? - Francesco Regazzoni 001; Cesare Alippi; Ilia Polian (ICCAD, 2018)

Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. - Daniele Zambon; Lorenzo Livi; Cesare Alippi (IJCNN, 2018)

Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. - Cesare Alippi; Simone Disabato; Manuel Roveri (IPSN, 2018)

A characterization of the Edge of Criticality in Binary echo State Networks. - Pietro Verzelli; Lorenzo Livi; Cesare Alippi (MLSP, 2018)

Introduction to the IEEE CIS TC on Smart World (SWTC) [Society Briefs]. - Jianhua Ma 002; Cesare Alippi; Laurence T. Yang; Huansheng Ning; Kevin I-Kai Wang (IEEE Comput. Intell. Mag., 2018)

Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. - Daniele Grattarola; Daniele Zambon; Cesare Alippi; Lorenzo Livi (CoRR, 2018)

When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis. - Stjepan Picek; Annelie Heuser; Cesare Alippi; Francesco Regazzoni 001 (IACR Cryptol. ePrint Arch., 2018)

Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. - Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2018)

A pdf-Free Change Detection Test Based on Density Difference Estimation. - Li Bu; Cesare Alippi; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. - Lorenzo Livi; Filippo Maria Bianchi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. - Andrea Dal Pozzolo; Giacomo Boracchi; Olivier Caelen; Cesare Alippi; Gianluca Bontempi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Concept Drift and Anomaly Detection in Graph Streams. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals. - Cesare Alippi; Wen Qi; Manuel Roveri (Multidisciplinary Approaches to Neural Computing, 2018)

Hyper-spherical Reservoirs for Echo State Networks. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi (ICANN (Workshop), 2019)

Autoregressive Models for Sequences of Graphs. - Daniele Zambon; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IJCNN, 2019)

Adversarial autoencoders with constant-curvature latent manifolds. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi (Appl. Soft Comput., 2019)

Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi (CoRR, 2019)

Mincut pooling in Graph Neural Networks. - Filippo Maria Bianchi; Daniele Grattarola; Cesare Alippi (CoRR, 2019)

Distance-Preserving Graph Embeddings from Random Neural Features. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (CoRR, 2019)

Change-Point Methods on a Sequence of Graphs. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (IEEE Trans. Signal Process., 2019)

Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach. - Giuseppe Canonaco; Manuel Roveri; Cesare Alippi; Fabrizio Podenzani; Antonio Bennardo; Marco Conti; Nicola Mancini (I2MTC, 2020)

Spectral Clustering with Graph Neural Networks for Graph Pooling. - Filippo Maria Bianchi; Daniele Grattarola; Cesare Alippi (ICML, 2020)

Graph Random Neural Features for Distance-Preserving Graph Representations. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (ICML, 2020)

PIF: Anomaly detection via preference embedding. - Filippo Leveni; Luca Magri; Giacomo Boracchi; Cesare Alippi (ICPR, 2020)

Cluster-based Aggregate Load Forecasting with Deep Neural Networks. - Andrea Cini; Slobodan Lukovic; Cesare Alippi (IJCNN, 2020)

2020 IEEE CIS Awards [Society Briefs]. - Cesare Alippi (IEEE Comput. Intell. Mag., 2020)

Deep Reinforcement Learning with Weighted Q-Learning. - Andrea Cini; Carlo D'Eramo; Jan Peters 001; Cesare Alippi (CoRR, 2020)

Input representation in recurrent neural networks dynamics. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi; Peter Tiño (CoRR, 2020)

Graph Neural Networks in TensorFlow and Keras with Spektral. - Daniele Grattarola; Cesare Alippi (CoRR, 2020)

Learn to Synchronize, Synchronize to Learn. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi (CoRR, 2020)

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks. - Haowei Lin; Bo Zhao 015; Derong Liu 001; Cesare Alippi (IEEE CAA J. Autom. Sinica, 2020)

Advances in deep neural information processing. - Dongbin Zhao; Shukai Duan 001; Zheng Yan 001; Cesare Alippi (Neurocomputing, 2020)

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. - Daniele Grattarola; Daniele Zambon; Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2020)

Event-Detection Deep Neural Network for OTDR Trace Analysis. - Davide Rutigliano; Giacomo Boracchi; Pietro Invernizzi; Enrico Sozio; Cesare Alippi; Stefano Binetti (EANN, 2021)

Deep learning for graphs. - Davide Bacciu; Filippo Maria Bianchi; Benjamin Paassen; Cesare Alippi (ESANN, 2021)

A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures. - Giuseppe Canonaco; Manuel Roveri; Cesare Alippi; Fabrizio Podenzani; Antonio Bennardo; Marco Conti; Nicola Mancini (I2MTC, 2021)

Graph Edit Networks. - Benjamin Paassen; Daniele Grattarola; Daniele Zambon; Cesare Alippi; Barbara Hammer (ICLR, 2021)

Learning Graph Cellular Automata. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi (NeurIPS, 2021)

Birdsong Detection at the Edge with Deep Learning. - Simone Disabato; Giuseppe Canonaco; Paul G. Flikkema; Manuel Roveri; Cesare Alippi (SMARTCOMP, 2021)

2021 IEEE CIS Awards [Society Briefs]. - Cesare Alippi (IEEE Comput. Intell. Mag., 2021)

Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. - Daniele Grattarola; Cesare Alippi (IEEE Comput. Intell. Mag., 2021)

Multivariate Time Series Imputation by Graph Neural Networks. - Andrea Cini; Ivan Marisca; Cesare Alippi (CoRR, 2021)

Graph neural network-based fault diagnosis: a review. - Zhiwen Chen 001; Jiamin Xu; Cesare Alippi; Steven X. Ding; Yuri A. W. Shardt; Tao Peng 010; Chunhua Yang 001 (CoRR, 2021)

A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. - Lorenzo Ferretti; Andrea Cini; Georgios Zacharopoulos; Cesare Alippi; Laura Pozzi 001 (CoRR, 2021)

Gaussian Approximation for Bias Reduction in Q-Learning. - Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters 001; Marcello Restelli (J. Mach. Learn. Res., 2021)

Distributed Deep Convolutional Neural Networks for the Internet-of-Things. - Simone Disabato; Manuel Roveri; Cesare Alippi (IEEE Trans. Computers, 2021)

Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure. - Bo Zhao 015; Derong Liu 001; Cesare Alippi (IEEE Trans. Cybern., 2021)

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. - Andrea Cini; Ivan Marisca; Cesare Alippi (ICLR, 2022)

Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. - Simone Eandi; Andrea Cini; Slobodan Lukovic; Cesare Alippi (IJCNN, 2022)

Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. - Matteo Munari; Luca Pasa; Daniele Zambon; Cesare Alippi; Nicolò Navarin (IJCNN, 2022)

Graph iForest: Isolation of anomalous and outlier graphs. - Daniele Zambon; Lorenzo Livi; Cesare Alippi (IJCNN, 2022)

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. - Ivan Marisca; Andrea Cini; Cesare Alippi (NeurIPS, 2022)

AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs. - Daniele Zambon; Cesare Alippi (NeurIPS, 2022)

A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. - Kleanthis Malialis; Manuel Roveri; Cesare Alippi; Christos G. Panayiotou; Marios M. Polycarpou (SSCI, 2022)

A transfer-learning approach for corrosion prediction in pipeline infrastructures. - Giuseppe Canonaco; Manuel Roveri; Cesare Alippi; Fabrizio Podenzani; Antonio Bennardo; Marco Conti; Nicola Mancini (Appl. Intell., 2022)

Deep learning for time series forecasting: The electric load case. - Alberto Gasparin; Slobodan Lukovic; Cesare Alippi (CAAI Trans. Intell. Technol., 2022)

AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs. - Daniele Zambon; Cesare Alippi (CoRR, 2022)

Sparse Graph Learning for Spatiotemporal Time Series. - Andrea Cini; Daniele Zambon; Cesare Alippi (CoRR, 2022)

Seizure localisation with attention-based graph neural networks. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi; Richard Wennberg; Taufik A. Valiante (Expert Syst. Appl., 2022)

Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects. - Luca Butera; Alberto Ferrante; Mauro Jermini; Mauro Prevostini; Cesare Alippi (IEEE CAA J. Autom. Sinica, 2022)

Known and unknown event detection in OTDR traces by deep learning networks. - Antonino Maria Rizzo; Luca Magri; Davide Rutigliano; Pietro Invernizzi; Enrico Sozio; Cesare Alippi; Stefano Binetti; Giacomo Boracchi (Neural Comput. Appl., 2022)

Graph Neural Networks With Convolutional ARMA Filters. - Filippo Maria Bianchi; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. - Filippo Maria Bianchi; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Input-to-State Representation in Linear Reservoirs Dynamics. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi; Peter Tino (IEEE Trans. Neural Networks Learn. Syst., 2022)

Scalable Spatiotemporal Graph Neural Networks. - Andrea Cini; Ivan Marisca; Filippo Maria Bianchi; Cesare Alippi (AAAI, 2023)

Event Detection in Optical Signals via Domain Adaptation. - Antonino Maria Rizzo; Luca Magri; Pietro Invernizzi; Enrico Sozio; Gabriele Aquaro; Stefano Binetti; Cesare Alippi; Giacomo Boracchi (EUSIPCO, 2023)

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 (ICASSP, 2023)

Hashing for Structure-Based Anomaly Detection. - Filippo Leveni; Luca Magri; Cesare Alippi; Giacomo Boracchi (ICIAP (2), 2023)

Taming Local Effects in Graph-based Spatiotemporal Forecasting. - Andrea Cini; Ivan Marisca; Daniele Zambon; Cesare Alippi (NeurIPS, 2023)

Graph state-space models. - Daniele Zambon; Andrea Cini; Lorenzo Livi; Cesare Alippi (CoRR, 2023)

Where and How to Improve Graph-based Spatio-temporal Predictors. - Daniele Zambon; Cesare Alippi (CoRR, 2023)

Graph Kalman Filters. - Cesare Alippi; Daniele Zambon (CoRR, 2023)

Relational Inductive Biases for Object-Centric Image Generation. - Luca Butera; Andrea Cini; Alberto Ferrante; Cesare Alippi (CoRR, 2023)

Sparse Graph Learning from Spatiotemporal Time Series. - Andrea Cini; Daniele Zambon; Cesare Alippi (J. Mach. Learn. Res., 2023)

Graph Neural Networks for High-Level Synthesis Design Space Exploration. - Lorenzo Ferretti; Andrea Cini; Georgios Zacharopoulos; Cesare Alippi; Laura Pozzi 001 (ACM Trans. Design Autom. Electr. Syst., 2023)

Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. - Giovanni de Felice; Andrea Cini; Daniele Zambon; Vladimir V. Gusev; Cesare Alippi (ICLR, 2024)

Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. - Andrea Cini; Danilo P. Mandic; Cesare Alippi (ICML, 2024)

Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. - Ivan Marisca; Cesare Alippi; Filippo Maria Bianchi (ICML, 2024)

Temporal Graph ODEs for Irregularly-Sampled Time Series. - Alessio Gravina; Daniele Zambon; Davide Bacciu; Cesare Alippi (IJCAI, 2024)

Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. - Nicolò Navarin; Paolo Frazzetto; Luca Pasa; Pietro Verzelli; Filippo Visentin; Alessandro Sperduti; Cesare Alippi (IJCNN, 2024)

Learning Latent Graph Structures and their Uncertainty. - Alessandro Manenti; Daniele Zambon; Cesare Alippi (CoRR, 2024)

On the Regularization of Learnable Embeddings for Time Series Processing. - Luca Butera; Giovanni de Felice; Andrea Cini; Cesare Alippi (CoRR, 2024)

Object-Centric Relational Representations for Image Generation. - Luca Butera; Andrea Cini; Alberto Ferrante; Cesare Alippi (Trans. Mach. Learn. Res., 2024)

Feudal Graph Reinforcement Learning. - Tommaso Marzi; Arshjot Singh Khehra; Andrea Cini; Cesare Alippi (Trans. Mach. Learn. Res., 2024)

Understanding Pooling in Graph Neural Networks. - Daniele Grattarola; Daniele Zambon; Filippo Maria Bianchi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. - Hongtian Chen; Zhigang Liu 001; Cesare Alippi; Biao Huang 001; Derong Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems. - Zhigang Liu 001; Cesare Alippi; Hongtian Chen; Derong Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. - Ming Jin 005; Huan Yee Koh; Qingsong Wen; Daniele Zambon; Cesare Alippi; Geoffrey I. Webb; Irwin King; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

On the Regularization of Learnable Embeddings for Time Series Forecasting. - Luca Butera; Giovanni de Felice; Andrea Cini; Cesare Alippi (Trans. Mach. Learn. Res., 2025)

Relational Conformal Prediction for Correlated Time Series. - Andrea Cini; Alexander Jenkins; Danilo P. Mandic; Cesare Alippi; Filippo Maria Bianchi (CoRR, 2025)

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements. - 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; et al. (CoRR, 2025)

DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting. - Xiaobei Zou; Luolin Xiong; Kexuan Zhang; Cesare Alippi; Yang Tang (CoRR, 2025)

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking. - Xuan Rao; Bo Zhao 015; Derong Liu 001; Cesare Alippi (CoRR, 2025)

Malware families discovery via Open-Set Recognition on Android manifest permissions. - Filippo Leveni; Matteo Mistura; Francesco Iubatti; Carmine Giangregorio; Nicolò Pastore; Cesare Alippi; Giacomo Boracchi (CoRR, 2025)

PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning. - Daniele Zambon; Michele Cattaneo; Ivan Marisca; Jonas Bhend; Daniele Nerini; Cesare Alippi (CoRR, 2025)

Over-squashing in Spatiotemporal Graph Neural Networks. - Ivan Marisca; Jacob Bamberger; Cesare Alippi; Michael M. Bronstein (CoRR, 2025)

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning. - Tommaso Marzi; Cesare Alippi; Andrea Cini (CoRR, 2025)

Online Continual Graph Learning. - Giovanni Donghi; Luca Pasa; Daniele Zambon; Cesare Alippi; Nicolò Navarin (CoRR, 2025)

Beyond Softmax: A Natural Parameterization for Categorical Random Variables. - Alessandro Manenti; Cesare Alippi (CoRR, 2025)

The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning. - Giovanni Donghi; Daniele Zambon; Luca Pasa; Cesare Alippi; Nicolò Navarin (CoRR, 2025)

FX-DARTS: Designing Topology-Unconstrained Architectures With Differentiable Architecture Search and Entropy-BasedSuper-Network Shrinking. - Xuan Rao; Bo Zhao 015; Derong Liu 001; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2025)

Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games. - Runyu Lu; Peng Zhang; Ruochuan Shi; Yuanheng Zhu; Dongbin Zhao; Yang Liu; Dong Wang 004; Cesare Alippi (CoRR, 2025)

Graph Deep Learning for Time Series Forecasting. - Andrea Cini; Ivan Marisca; Daniele Zambon; Cesare Alippi (ACM Comput. Surv., 2025)

Preference isolation forest for structure-based anomaly detection. - Filippo Leveni; Luca Magri; Cesare Alippi; Giacomo Boracchi (Pattern Recognit., 2026)