Cesare Alippi

According to our database1, Cesare Alippi authored at least 138 papers between 1992 and 2019.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2006, "For contributions to robustness and application-level synthesis of embedded information processing systems.".

Timeline

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Links

On csauthors.net:

Bibliography

2019
Adversarial autoencoders with constant-curvature latent manifolds.
Appl. Soft Comput., 2019

Hyper-spherical Reservoirs for Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
Concept Drift and Anomaly Detection in Graph Streams.
IEEE Trans. Neural Netw. Learning Syst., 2018

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.
IEEE Trans. Neural Netw. Learning Syst., 2018

Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization.
IEEE Trans. Neural Netw. Learning Syst., 2018

A pdf-Free Change Detection Test Based on Density Difference Estimation.
IEEE Trans. Neural Netw. Learning Syst., 2018

Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2018

When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis.
IACR Cryptology ePrint Archive, 2018

Introduction to the IEEE CIS TC on Smart World (SWTC) [Society Briefs].
IEEE Comp. Int. Mag., 2018

A characterization of the Edge of Criticality in Binary echo State Networks.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Security: the dark side of approximate computing?
Proceedings of the International Conference on Computer-Aided Design, 2018

On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
An Incremental Change Detection Test Based on Density Difference Estimation.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

One-Class Classifiers Based on Entropic Spanning Graphs.
IEEE Trans. Neural Netw. Learning Syst., 2017

Hierarchical Change-Detection Tests.
IEEE Trans. Neural Netw. Learning Syst., 2017

Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems.
IEEE Trans. Emerging Topics in Comput. Intellig., 2017

Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach.
IEEE Trans. Cybernetics, 2017

The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework.
IEEE Computer, 2017

A spectrum-based adaptive sampling algorithm for smart sensing.
Proceedings of the 2017 IEEE SmartWorld, 2017

Detecting changes in sequences of attributed graphs.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A lightweight and energy-efficient Internet-of-birds tracking system.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

Critical echo state network dynamics by means of Fisher information maximization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning in Nonstationary Environments: A Hybrid Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization.
IEEE Trans. Mob. Comput., 2016

A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting.
IEEE Systems Journal, 2016

A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things.
IEEE Communications Magazine, 2016

Model Complexity, Regularization, and Sparsity [Guest Editorial].
IEEE Comp. Int. Mag., 2016

A unique timely moment for embedding intelligence in applications.
CAAI Trans. Intell. Technol., 2016

Designing HMMs in the Age of Big Data.
Proceedings of the Advances in Big Data, 2016

CCM: Controlling the Change Magnitude in High Dimensional Data.
Proceedings of the Advances in Big Data, 2016

One-class classification through mutual information minimization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Ensemble LSDD-based change detection tests.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Algorithms and Tools for Intelligent Monitoring of Critical Infrastructure Systems.
Proceedings of the Intelligent Monitoring, 2015

Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports].
IEEE Comp. Int. Mag., 2015

Learning in Nonstationary Environments: A Survey.
IEEE Comp. Int. Mag., 2015

A Pdf-Free Change Detection Test for Data Streams Monitoring.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Credit card fraud detection and concept-drift adaptation with delayed supervised information.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2014

Guest Editorial Learning in Nonstationary and Evolving Environments.
IEEE Trans. Neural Netw. Learning Syst., 2014

A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks.
IEEE Trans. Neural Netw. Learning Syst., 2014

Full-range adaptive cruise control based on supervised adaptive dynamic programming.
Neurocomputing, 2014

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay.
Neurocomputing, 2014

Lightweight cryptography for constrained devices.
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Learning in Non-stationary Environments.
Proceedings of the ECTA 2014, 2014

Learning causal dependencies to etect and diagnose faults in sensor networks.
Proceedings of the IEEE Symposium on Intelligent Embedded Systems, 2014

Change detection in streams of signals with sparse representations.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A high-frequency sampling monitoring system for environmental and structural applications.
TOSN, 2013

A Cognitive Fault Diagnosis System for Distributed Sensor Networks.
IEEE Trans. Neural Netw. Learning Syst., 2013

Just-In-Time Classifiers for Recurrent Concepts.
IEEE Trans. Neural Netw. Learning Syst., 2013

Special issue on intelligent control and information processing.
Soft Comput., 2013

Ensembles of change-point methods to estimate the change point in residual sequences.
Soft Comput., 2013

IEEE CIS Education Activities Vision Statement [Society Briefs].
IEEE Comp. Int. Mag., 2013

A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks.
Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, 2013

Temporal/spatial model-based fault diagnosis vs. Hidden Markov models change detection method: Application to the Barcelona water network.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

Model ensemble for an effective on-line reconstruction of missing data in sensor networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A prior-free encode-decode change detection test to inspect datastreams for concept drift.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Wireless Sensor Networks for Monitoring Vineyards.
Proceedings of the Methodologies and Technologies for Networked Enterprises, 2012

A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks.
Neural Networks, 2012

Data-driven optimal algorithms and their applications to pattern recognition.
Neurocomputing, 2012

2013 IEEE CIS Awards [Society Briefs].
IEEE Comp. Int. Mag., 2012

Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks.
Proceedings of the 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, 2012

An HMM-based change detection method for intelligent embedded sensors.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Just-in-time ensemble of classifiers.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

SVM-Based Just-in-Time Adaptive Classifiers.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

A "Learning from Models" Cognitive Fault Diagnosis System.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Editorial - TIM Special Section on the IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009).
IEEE Trans. Instrumentation and Measurement, 2011

A just-in-time adaptive classification system based on the intersection of confidence intervals rule.
Neural Networks, 2011

A hierarchical, nonparametric, sequential change-detection test.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

An effective just-in-time adaptive classifier for gradual concept drifts.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks.
IEEE Trans. Instrumentation and Measurement, 2010

An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors.
IEEE Trans. Instrumentation and Measurement, 2010

Robust hybrid wired-wireless sensor networks.
Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

An hybrid wireless-wired monitoring system for real-time rock collapse forecasting.
Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems, 2010

Virtual k-fold cross validation: An effective method for accuracy assessment.
Proceedings of the International Joint Conference on Neural Networks, 2010

Change detection tests using the ICI rule.
Proceedings of the International Joint Conference on Neural Networks, 2010

Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management.
Proceedings of the Artificial Neural Networks, 2010

2009
An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm.
IEEE Trans. Instrumentation and Measurement, 2009

A virtual machine for energy management in WSNs.
Proceedings of the 2009 IEEE International Workshop on Robotic and Sensors Environments, 2009

Detecting drops on lens in wireless multimedia sensor network nodes.
Proceedings of the 2009 IEEE International Workshop on Robotic and Sensors Environments, 2009

Just in time classifiers: Managing the slow drift case.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier.
IEEE Trans. Neural Networks, 2008

Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes.
IEEE Trans. Neural Networks, 2008

An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes.
IEEE Trans. on Circuits and Systems, 2008

k-NN classifiers: Investigating the k=k(n) relationship.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
A Hierarchical LLC Routing Algorithm for WSNs.
Proceedings of the 2007 International Workshop on Robotic and Sensors Environments, 2007

Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions.
Proceedings of the 2007 International Workshop on Robotic and Sensors Environments, 2007

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications.
Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

Just-in-time Adaptive Classifiers in Non-Stationary Conditions.
Proceedings of the International Joint Conference on Neural Networks, 2007

Adaptive Classifiers in Stationary Conditions.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers.
IEEE Trans. Neural Networks, 2006

A RSSI-based and calibrated centralized localization technique forWireless Sensor Networks.
Proceedings of the 4th IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2006 Workshops), 2006

Application-based routing optimization in static/semi-staticWireless Sensor Networks.
Proceedings of the 4th IEEE International Conference on Pervasive Computing and Communications (PerCom 2006), 2006

An adaptive CUSUM-based test for signal change detection.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

A statistical approach to localize passive RFIDs.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

A computational intelligence-based criterion to detect non-stationarity trends.
Proceedings of the International Joint Conference on Neural Networks, 2006

Particle Filters for Rss-Based Localization in Wireless Sensor Networks: An Experimental Study.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Automated selection of test frequencies for fault diagnosis in analog electronic circuits.
IEEE Trans. Instrumentation and Measurement, 2005

An application-level methodology to guide the design of intelligent-processing, power-aware passive RFIDs.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Exploiting application locality to design fast, low power, low complexity neural classifiers.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

A RF map-based localization algorithm for indoor environments.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

An adaptive system for automatic invoice-documents classification.
Proceedings of the 2005 International Conference on Image Processing, 2005

Perturbations, Accuracy and Robustness in Neural Networks.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2003
A neural-network based control solution to air-fuel ratio control for automotive fuel-injection systems.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2003

An application-level synthesis methodology for multidimensional embedded processing systems.
IEEE Trans. on CAD of Integrated Circuits and Systems, 2003

High level accuracy loss estimates for a class of analog/digital systems.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002
SBT soft fault diagnosis in analog electronic circuits: a sensitivity-based approach by randomized algorithms.
IEEE Trans. Instrumentation and Measurement, 2002

A probably approximately correct framework to estimate performancedegradation in embedded systems.
IEEE Trans. on CAD of Integrated Circuits and Systems, 2002

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

An application level synthesis methodology for embedded systems.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

2001
Determining the Optimum Extended Instruction-Set Architecture for Application Specific Reconfigurable VLIW CPUs.
Proceedings of the 12th IEEE International Workshop on Rapid System Prototyping (RSP 2001), 2001

2000
Composite real-time image processing for railways track profile measurement.
IEEE Trans. Instrumentation and Measurement, 2000

A Methodology for Example-Based Specification and Design.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Determining the optimum extended instruction-set architecture for application specific reconfigurable VLIW CPUs (poster abstract).
Proceedings of the ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2000

1999
Neural modeling of dynamic systems with nonmeasurable state variables.
IEEE Trans. Instrumentation and Measurement, 1999

Introduction to Special Issue.
Integrated Computer-Aided Engineering, 1999

NeSS: a Simulation Environment for Behavioral Design of Neural Networks for Prediction and Control.
Integrated Computer-Aided Engineering, 1999

Feedforward neural networks with improved insensitivity abilities.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

A DAG-Based Design Approach for Reconfigurable VLIW Processors.
Proceedings of the 1999 Design, 1999

1998
Testability analysis and behavioral testing of the Hopfield neural paradigm.
IEEE Trans. VLSI Syst., 1998

Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing.
IEEE Trans. Computers, 1998

Artificial neural networks.
Journal of Systems Architecture, 1998

1996
Extending the FPE and the effective number of parameters to neural estimators.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Real-time analysis of ships in radar images with neural networks.
Pattern Recognition, 1995

Off-Line Performance Maximisation in Feed-Forward Neural Networks by Applying Virtual Neurons and Covariance Transformations.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Control of the underexcitation mode of synchronous machines in power plants.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
Genetic-Algorithm Programming Environments.
IEEE Computer, 1994

Sensitivity to Errors in Artificial Neural Networks: a Behavioural Approach.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Setting and Validating Precision Requirements in the Digital VLSI Implementation of a Neural Defect-Identifier for Machined Objects.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1993

1992
Galatea neural VLSI architectures: Communication and control considerations.
Microprocessing and Microprogramming, 1992


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