Manuel Roveri

According to our database1, Manuel Roveri authored at least 90 papers between 2005 and 2020.

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Bibliography

2020
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Time-Variant Variational Transfer for Value Functions.
CoRR, 2020

An energy harvesting solution for computation offloading in Fog Computing networks.
Comput. Commun., 2020

Incremental On-Device Tiny Machine Learning.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

Prototyping and Metrological Characterization of a Data Acquisition and Processing System Based on Edge Computing.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Learning Discrete-Time Markov Chains Under Concept Drift.
IEEE Trans. Neural Networks Learn. Syst., 2019

False Data Detection for Fog and Internet of Things Networks.
Sensors, 2019

INDIANA: An interactive system for assisting database exploration.
Inf. Syst., 2019

Distributed Deep Convolutional Neural Networks for the Internet-of-Things.
CoRR, 2019

Learning Convolutional Neural Networks in presence of Concept Drift.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings.
IEEE Trans. Syst. Man Cybern. Syst., 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

Reducing the Computation Load of Convolutional Neural Networks through Gate Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Intelligent Cyber-Physical Systems for Industry 4.0.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Hierarchical Change-Detection Tests.
IEEE Trans. Neural Networks Learn. Syst., 2017

Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks.
Int. J. Neural Syst., 2017

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

Capacity Planning of Fog Computing Infrastructures for Smart Monitoring.
Proceedings of the New Frontiers in Quantitative Methods in Informatics, 2017

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

A lightweight and energy-efficient Internet-of-birds tracking system.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 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
Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

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

Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs.
ACM Trans. Auton. Adapt. Syst., 2016

A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting.
IEEE Syst. J., 2016

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

An incremental learning mechanism for human activity recognition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A CPM-Based Change Detection Test for Big Data.
Proceedings of the Advances in Big Data, 2016

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

Database Challenges for Exploratory Computing.
SIGMOD Rec., 2015

Learning in Nonstationary Environments: A Survey.
IEEE Comput. Intell. Mag., 2015

Detecting Contaminants in Smart Buildings by Exploiting Temporal and Spatial Correlation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Exploratory Computing: What is there for the Database Researcher?
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Sensors and Wireless Sensor Networks as Data Sources: Models and Languages.
Proceedings of the Data Management in Pervasive Systems, 2015

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

GINGER: a minimizing-effects reprogramming paradigm for distributed sensor networks.
Proceedings of the 2014 IEEE International Symposium on Robotic and Sensors Environments, 2014

Exploiting self-similarity for change detection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A cognitive monitoring system for contaminant detection in intelligent buildings.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

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

2013
A high-frequency sampling monitoring system for environmental and structural applications.
ACM Trans. Sens. Networks, 2013

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

Just-In-Time Classifiers for Recurrent Concepts.
IEEE Trans. Neural Networks Learn. Syst., 2013

Ensembles of change-point methods to estimate the change point in residual sequences.
Soft Comput., 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 Hierarchy of Change-Point Methods for Estimating the Time Instant of Leakages in Water Distribution Networks.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

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

Identifying network failure via detecting changes in power profile.
Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications, 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

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

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. Instrum. Meas., 2010

An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors.
IEEE Trans. Instrum. Meas., 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. Instrum. Meas., 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

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

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
An adaptive CUSUM-based test for signal change detection.
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

2005
What planner for ambient intelligence applications?
IEEE Trans. Syst. Man Cybern. Part A, 2005

Visual inspection of particle boards for quality assessment.
Proceedings of the 2005 International Conference on Image Processing, 2005

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


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