Name
Affiliation
Papers
MANUEL ROVERI
instituto politecnico nacional
64
Collaborators
Citations 
PageRank 
65
272
30.19
Referers 
Referees 
References 
551
1007
548
Search Limit
1001000
Title
Citations
PageRank
Year
Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models00.342022
A transfer-learning approach for corrosion prediction in pipeline infrastructures00.342022
Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction00.342022
TinyML for UWB-radar based presence detection00.342022
Distributed Deep Convolutional Neural Networks for the Internet-of-Things00.342021
Adaptive Federated Learning in Presence of Concept Drift00.342021
Birdsong Detection at the Edge with Deep Learning00.342021
Incremental On-Device Tiny Machine Learning00.342020
An energy harvesting solution for computation offloading in Fog Computing networks10.352020
False Data Detection for Fog and Internet of Things Networks.00.342019
INDIANA: An interactive system for assisting database exploration.00.342019
Learning Discrete-Time Markov Chains Under Concept Drift.00.342019
Intelligent Cyber-Physical Systems for Industry 4.010.382018
A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings.10.352018
Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case.30.382018
An Ensemble Approach For Cognitive Fault Detection And Isolation In Sensor Networks50.402017
Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems.50.412017
The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework.20.372017
A spectrum-based adaptive sampling algorithm for smart sensing00.342017
Capacity Planning of Fog Computing Infrastructures for Smart Monitoring.00.342017
Learning In Nonstationary Environments: A Hybrid Approach10.362017
Hierarchical Change-Detection Tests.180.662017
Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs50.432016
A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things.80.542016
A CPM-Based Change Detection Test for Big Data.00.342016
Designing HMMs in the Age of Big Data.00.342016
Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss40.442016
Database challenges for exploratory computing120.992015
Detecting Contaminants in Smart Buildings by Exploiting Temporal and Spatial Correlation10.372015
Exploratory Computing: What is there for the Database Researcher?10.402015
Learning in Nonstationary Environments: A Survey341.192015
A cognitive monitoring system for contaminant detection in intelligent buildings50.502014
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks100.562014
RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization.40.442014
Learning causal dependencies to etect and diagnose faults in sensor networks.00.342014
Exploiting self-similarity for change detection80.512014
A high-frequency sampling monitoring system for environmental and structural applications110.622013
A Hierarchy Of Change-Point Methods For Estimating The Time Instant Of Leakages In Water Distribution Networks20.442013
Ensembles of change-point methods to estimate the change point in residual sequences30.502013
A Cognitive Fault Diagnosis System for Distributed Sensor Networks211.092013
Model ensemble for an effective on-line reconstruction of missing data in sensor networks.50.522013
A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks10.352013
Just-in-time ensemble of classifiers.60.472012
Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks00.342012
A “learning from models” cognitive fault diagnosis system40.462012
Identifying network failure via detecting changes in power profile.10.392012
On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy60.522012
An HMM-based change detection method for intelligent embedded sensors60.642012
A distributed self-adaptive nonparametric change-detection test for sensor/actuator networks10.382011
A just-in-time adaptive classification system based on the intersection of confidence intervals rule.150.842011
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