Cesare Alippi

Q: What Schools Are Affiliated With Cesare Alippi

Cesare Alippi is affiliated with the following schools: Università della Svizzera italiana, Polytechnic University of Milan

Cesare Alippi's AcademicInfluence.com Rankings

Cesare Alippi

Engineering

#6571

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#7905

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Electrical Engineering

#1975

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#2078

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engineering Degrees

Cesare Alippi

Computer Science

#8672

World Rank

#9117

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Computer Engineering

#111

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#112

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Machine Learning

#3611

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#3655

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Database

#5671

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#5885

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computer-science Degrees

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Engineering
Computer Science

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Cesare Alippi's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Learning in Nonstationary Environments: A Survey (2015) (564)
An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes (2008) (432)
Genetic-algorithm programming environments (1994) (327)
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy (2018) (262)
A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring (2011) (261)
Graph Neural Networks With Convolutional ARMA Filters (2019) (219)
Energy management in wireless sensor networks with energy-hungry sensors (2009) (219)
A RSSI-based and calibrated centralized localization technique for wireless sensor networks (2006) (191)
Spectral Clustering with Graph Neural Networks for Graph Pooling (2019) (191)
An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors (2010) (189)
Just-In-Time Classifiers for Recurrent Concepts (2013) (136)
Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications (2007) (129)
Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes (2008) (128)
Composite real-time image processing for railways track profile measurement (2000) (126)
Fault Diagnosis Systems (2014) (120)
Graph Neural Networks in TensorFlow and Keras with Spektral (2020) (98)
A unique timely moment for embedding intelligence in applications (2016) (93)
Credit card fraud detection and concept-drift adaptation with delayed supervised information (2015) (91)
Moving Convolutional Neural Networks to Embedded Systems: The AlexNet and VGG-16 Case (2018) (87)
Sensitivity to errors in artificial neural networks: a behavioral approach (1994) (85)
Deep Learning for Time Series Forecasting: The Electric Load Case (2019) (84)
Full-range adaptive cruise control based on supervised adaptive dynamic programming (2014) (81)
Intelligence for Embedded Systems (2014) (80)
SBT soft fault diagnosis in analog electronic circuits: a sensitivity-based approach by randomized algorithms (2002) (79)
A DAG-based design approach for reconfigurable VLIW processors (1999) (79)
Investigating echo state networks dynamics by means of recurrence analysis (2016) (77)
Simple approximation of sigmoidal functions: realistic design of digital neural networks capable of learning (1991) (76)
Just-in-Time Adaptive Classifiers—Part II: Designing the Classifier (2008) (72)
A statistical approach to localize passive RFIDs (2006) (67)
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks (2020) (66)
A just-in-time adaptive classification system based on the intersection of confidence intervals rule (2011) (65)
Hierarchical Change-Detection Tests (2017) (64)
A neural-network based control solution to air-fuel ratio control for automotive fuel-injection systems (2003) (64)
Experimental neural networks for prediction and identification (1996) (59)
Wireless sensor networks and radio localization: a metrological analysis of the MICA2 received signal strength indicator (2004) (58)
Fast inactivation of SARS-CoV-2 by UV-C and ozone exposure on different materials (2021) (56)
Automated selection of test frequencies for fault diagnosis in analog electronic circuits (2005) (55)
A RF map-based localization algorithm for indoor environments (2005) (54)
An adaptive CUSUM-based test for signal change detection (2006) (54)
Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization (2016) (53)
A Cognitive Fault Diagnosis System for Distributed Sensor Networks (2013) (52)
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach (2017) (51)
Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems (2017) (48)
RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization (2014) (47)
Particle Filters for Rss-Based Localization in Wireless Sensor Networks: An Experimental Study (2006) (45)
Change detection tests using the ICI rule (2010) (45)
A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things (2016) (40)
Intelligence for Embedded Systems: A Methodological Approach (2014) (38)
Just in time classifiers: Managing the slow drift case (2009) (38)
A pdf-Free Change Detection Test Based on Density Difference Estimation (2018) (37)
A fuzzy approach for soft fault detection in analog circuits (2002) (37)
Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part I (2011) (36)
A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images (2021) (35)
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case (2014) (35)
Artificial intelligence for instruments and measurement applications (1998) (34)
Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay (2014) (34)
Concept Drift and Anomaly Detection in Graph Streams (2017) (34)
Multiplex visibility graphs to investigate recurrent neural network dynamics (2016) (33)
Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure (2020) (31)
A hierarchical, nonparametric, sequential change-detection test (2011) (31)
Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss (2015) (30)
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling (2019) (29)
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks (2014) (28)
An hybrid wireless-wired monitoring system for real-time rock collapse forecasting (2010) (27)
Advances in Computational Intelligence (2012) (27)
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes] (2021) (27)
A high-frequency sampling monitoring system for environmental and structural applications (2013) (27)
Selecting accurate, robust, and minimal feedforward neural networks (2002) (26)
Cluster partitioning in image analysis classification: a genetic algorithm approach (1992) (26)
Virtual k-fold cross validation: An effective method for accuracy assessment (2010) (26)
Mincut pooling in Graph Neural Networks (2019) (25)
Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation (2002) (25)
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018) (24)
Guest Editorial Learning in Nonstationary and Evolving Environments (2014) (24)
Smart Environmental Measurement and Analysis Technologies (SEMAT): Wireless sensor networks in the marine environment (2008) (23)
Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing (1998) (23)
An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm (2009) (23)
An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes (2006) (22)
The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework (2017) (22)
Distributed Deep Convolutional Neural Networks for the Internet-of-Things (2019) (22)
Neural modeling of dynamic systems with nonmeasurable state variables (1999) (21)
Security: The Dark Side of Approximate Computing? (2018) (21)
Effective design of WSNs: From the lab to the real world (2008) (21)
Understanding Pooling in Graph Neural Networks (2021) (21)
Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018) (21)
Just-in-time ensemble of classifiers (2012) (20)
Classification methods and inductive learning rules: what we may learn from theory (2006) (20)
Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions (2007) (20)
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. (2022) (19)
Just-in-time Adaptive Classifiers in Non-Stationary Conditions (2007) (19)
An HMM-based change detection method for intelligent embedded sensors (2012) (19)
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks (2021) (18)
New trends in intelligent system design for embedded and measurement applications (1999) (18)
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere (2019) (18)
A fine control of the air-to-fuel ratio with recurrent neural networks (1998) (18)
On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy (2012) (17)
An effective just-in-time adaptive classifier for gradual concept drifts (2011) (16)
An Incremental Change Detection Test Based on Density Difference Estimation (2017) (16)
When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis (2018) (14)
An application-level methodology to guide the design of intelligent-processing, power-aware passive RFIDs (2005) (14)
Change detection in streams of signals with sparse representations (2014) (13)
A Kolmogorov-Smirnov test to detect changes in stationarity in big data (2017) (13)
A digital front-end and readout microsystem for calorimetry at LHC (1994) (13)
Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks (2010) (13)
Energy storage mechanisms in low power embedded systems: Twin batteries and supercapacitors (2009) (13)
Learning in Nonstationary Environments: A Hybrid Approach (2017) (12)
Learn to Synchronize, Synchronize to Learn (2020) (12)
An adaptive system for automatic invoice-documents classification (2005) (12)
Lightweight cryptography for constrained devices (2014) (12)
Model- vs. data-based approaches applied to fault diagnosis in potable water supply networks (2016) (11)
Composite techniques for quality analysis in automotive laser welding (2003) (11)
Real-time analysis of ships in radar images with neural networks (1995) (11)
Learning Graph Cellular Automata (2021) (11)
FPE-based criteria to dimension feedforward neural topologies (1999) (11)
Model ensemble for an effective on-line reconstruction of missing data in sensor networks (2013) (10)
Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management (2010) (10)
Learning in Non-stationary Environments (2014) (10)
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams (2018) (10)
Application-based routing optimization in static/semi-static wireless sensor networks (2006) (9)
Graph Random Neural Features for Distance-Preserving Graph Representations (2019) (9)
Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects (2022) (9)
Ensembles of change-point methods to estimate the change point in residual sequences (2013) (9)
A "Learning from Models" Cognitive Fault Diagnosis System (2012) (9)
A probably approximately correct framework to estimate performancedegradation in embedded systems (2002) (9)
Wireless Sensor Networks for Monitoring Vineyards (2012) (8)
Energy-aware wireless-wired communications in sensor networks (2009) (8)
Accuracy versus complexity in RBF neural networks (2001) (8)
A Perturbation Size-Independent Analysis of Robustness in Neural Networks by Randomized Algorithms (2003) (8)
Graph Edit Networks (2021) (8)
An application-level synthesis methodology for multidimensional embedded processing systems (2003) (8)
Cluster-based Aggregate Load Forecasting with Deep Neural Networks (2020) (8)
Robust hybrid wired-wireless sensor networks (2010) (8)
An ensemble approach to estimate the fault-time instant (2013) (8)
Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things (2019) (8)
Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks (2012) (8)
A digital front-end readout microsystem for calorimetry at LHC-the FERMI Project (1992) (8)
A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks (2013) (7)
Iiistological image understanding by error backpropagation (1991) (7)
Detecting changes in sequences of attributed graphs (2017) (7)
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis (2018) (7)
Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation (2017) (7)
Artificial neural networks (1998) (7)
A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting (2016) (7)
Autoregressive Models for Sequences of Graphs (2019) (7)
Neural methodology for prediction and identification of nonlinear dynamic systems (1996) (7)
A lightweight and energy-efficient Internet-of-birds tracking system (2017) (7)
Input representation in recurrent neural networks dynamics (2020) (7)
A spectrum-based adaptive sampling algorithm for smart sensing (2017) (7)
Graph neural network-based fault diagnosis: a review (2021) (7)
Deep Reinforcement Learning with Weighted Q-Learning (2020) (7)
Learning in Nonstationary and Evolving Environments (2014) (7)
A training-time analysis of robustness in feed-forward neural networks (2004) (6)
Micro Acoustic Monitoring with MEMS Accelerometers: towards a WSN Implementation (2007) (6)
Determining the optimum extended instruction-set architecture for application specific reconfigurable VLIW CPUs (2000) (6)
Towards a credible WSNs deployment: a monitoring framework based on an adaptive communication protocol and energy-harvesting availability (2008) (6)
A computational intelligence-based criterion to detect non-stationarity trends (2006) (6)
Birdsong Detection at the Edge with Deep Learning (2021) (6)
Reducing Computational Complexity in k-NN based Adaptive Classifiers (2007) (6)
Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I (2009) (5)
Learning causal dependencies to detect and diagnose faults in sensor networks (2014) (5)
A prior-free encode-decode change detection test to inspect datastreams for concept drift (2013) (5)
A CHARACTERIZATION OF THE EDGE OF CRITICALITY IN BINARY ECHO STATE NETWORKS (2018) (5)
Data-driven optimal algorithms and their applications to pattern recognition (2012) (5)
AnAdaptive MaximumPowerPoint Tracker for Maximising Solar CellEfficiency inWireless Sensor Nodes (2006) (5)
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings (2018) (5)
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration (2021) (4)
REEL: A real-time, computationally-efficient, reprogrammable framework for Wireless Sensor Networks (2011) (4)
Multivariate Time Series Imputation by Graph Neural Networks (2021) (4)
Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems (2016) (4)
Gaussian Approximation for Bias Reduction in Q-Learning (2021) (4)
Temporal/spatial model-based fault diagnosis vs. Hidden Markov models change detection method: Application to the Barcelona water network (2013) (4)
Global positioning and geographical information systems (2004) (4)
Change-Point Methods on a Sequence of Graphs (2018) (4)
SVM-Based Just-in-Time Adaptive Classifiers (2012) (4)
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations (2022) (4)
A transfer-learning approach for corrosion prediction in pipeline infrastructures (2021) (4)
Composite real-time image processing for railways track profile measurement (1999) (4)
An embedded automatic SBT diagnosis system for analog circuits (2004) (4)
A genetic-based application oriented approach to optimize RFID-like passive sensor devices for homeland security (2004) (4)
Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers (2006) (3)
System level policies for fault tolerance issues in the FERMI project (1993) (3)
Unsupervised feature selection algorithms for wireless sensor networks (2009) (3)
Adaptive Classifiers in Stationary Conditions (2007) (3)
Testability analysis and behavioral testing of the Hopfield neural paradigm (1998) (3)
FERMI/spl minus/a new generation of electronic modules for large data acquisition arrays required by high energy physics (1994) (3)
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs (2022) (3)
Feedforward neural networks with improved insensitivity abilities (1999) (3)
Frontiers of Intelligent Control and Information Processing (2014) (3)
From Labs to Real Environments: The Dark Side of WSNs (2009) (3)
An Embedded Wireless System For Estimating The Exposition Risk In First Emergency Management (2008) (3)
A step towards the prediction of a rock collapse: analysis of micro-acoustic bursts (2011) (3)
Intelligent Mechanisms in Embedded Systems (2014) (2)
Critical echo state network dynamics by means of Fisher information maximization (2017) (2)
A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks (2011) (2)
Regression-type neural networks for system identification (1995) (2)
An application level synthesis methodology for embedded systems (2002) (2)
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs (2022) (2)
Sparse Graph Learning for Spatiotemporal Time Series (2022) (2)
Setting and validating precision requirements in the digital VLSI implementation of a neural defect-identifier for machined objects (1994) (2)
Adaptive Classifiers for Nonstationary Environments (2015) (2)
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning (2022) (2)
A Real-Time Monitoring Framework for Landslide and Rock-Collapse Forecasting (2012) (2)
Scalable Spatiotemporal Graph Neural Networks (2022) (2)
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification (2022) (2)
Designing HMMs in the Age of Big Data (2016) (2)
A Hierarchical LLC Routing Algorithm for WSNs (2007) (2)
PIF: Anomaly detection via preference embedding (2021) (2)
A Pdf-Free Change Detection Test for Data Streams Monitoring (2015) (2)
Introduction to the IEEE CIS TC on Smart World (SWTC) [Society Briefs] (2018) (2)
Input-to-State Representation in Linear Reservoirs Dynamics (2021) (2)
Graph Neural Networks with distributed ARMA filters (2019) (2)
Detecting drops on lens in wireless multimedia sensor network nodes (2009) (2)
CCM: Controlling the Change Magnitude in High Dimensional Data (2016) (2)
Advances in deep neural information processing (2020) (2)
Ensemble LSDD-based change detection tests (2016) (2)
One-class classification through mutual information minimization (2016) (2)
Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach (2020) (2)
One-Class Classifiers Based on Entropic Spanning Graphs (2016) (2)
Model vs . Data based Approaches Applied to Fault Diagnosis in Drinking Water Transport Networks (2015) (1)
Behavioral testability and test pattern generation of the Hopfield network model (1994) (1)
NESS: a simulation environment for behavioral design of neural networks for prediction and control (1996) (1)
On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective (2018) (1)
Off-line performance maximisation in feed-forward neural networks by applying virtual neurons and covariance transformations (1995) (1)
A pdf-Free Change Detection Test Based on Density Difference Estimation (2018) (1)
Event‐triggered robust control for multi‐player nonzero‐sum games with input constraints and mismatched uncertainties (2022) (1)
Application-level robustness and redundancy in linear systems (2002) (1)
A real time quality monitoring system for laser welding (2002) (1)
Performance Estimation and Probably Approximately Correct Computation (2014) (1)
A statistical approach tolocalize passive RFIDs (2006) (1)
IEEE Instrumentation and Measurement Society Transactions I & M Society President (2009) (1)
FERMI ― a new generation of electronic modules for large data acquisition arrays required by high energy physics : Wafer-scale technology (1994) (1)
Extending the FPE and the effective number of parameters to neural estimators (1996) (1)
Distance-Preserving Graph Embeddings from Random Neural Features (2019) (1)
Event-Detection Deep Neural Network for OTDR Trace Analysis (2021) (1)
Galatea neural VLSI architectures: Communication and control considerations (1992) (1)
k-NN classifiers: Investigating the k=k(n) relationship (2008) (1)
Computational intelligence techniques to detect toxic gas presence (2006) (1)
Known and unknown event detection in OTDR traces by deep learning networks (2022) (1)
Neural networks for identification, control, robotics, signal and image processing (1998) (1)
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks (2012) (1)
Graph Neural Networks for High-Level Synthesis Design Space Exploration (2022) (1)
Graph state-space models (2023) (1)
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2009: Message from the chairs (2009) (1)
The WEB-GIS of Everest National Park and Changri Nup Glacier Area (2004) (1)
A methodology for example-based specification and design (2000) (1)
Robustness in Neural Networks (2009) (1)
High-level Design of Composite Systems (2004) (1)
An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals (2018) (1)
AnAdaptive CUSUM-based Test forSignal Change Detection (2006) (1)
Active noise control: compensating non-stationary acoustic signals (2005) (1)
A Perturbation Size-independent Analysis of Robustness in Feedforward Neural Networks by Randomized Algorithms (2001) (1)
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting (2022) (1)
Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports] (2015) (0)
Introduction to the special issue (2022) (0)
Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings (2013) (0)
IEEE SSCI 2014 General Committee (2014) (0)
Intelligent glacial front detection exploiting RGB and laser scanner images (2005) (0)
Classification method and the classifier for actuating the method (2006) (0)
Himalayan Laser Scanner Survey: Lobuche Glacier and Ice Fall Test Cases (2004) (0)
Apparatus and method for monitoring the laser welding and for giving a welding quality Statutes (2003) (0)
Emotional Cognitive Mechanisms for Embedded Systems (2014) (0)
One-Class Classifiers Based on Entropic Spanning Graphs (2017) (0)
Perturbations, Accuracy and Robustness in Neural Networks (2005) (0)
CIS University Curriculum Subcommittee Report - Nurturing the Future of Computational Intelligence [Society Briefs] (2013) (0)
CIS Society Officers (2015) (0)
A 'combination of multiple classifier' design for low-complex, highly performing and power-aware classifiers (2004) (0)
Artificial neural networks - ICANN 2009 : 19th international conference, Limassol, Cyprus, September 14-17, 2009 : proceedings (2009) (0)
Hyper-spherical Reservoirs for Echo State Networks (2019) (0)
Accuracy vs. precision in general purpose neural digital VLSI architectures (1998) (0)
A Digital Front-end Readout Mlcrosystem For Calorimeters At LHC (1993) (0)
Editorial - TIM Special Section on the IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009) (2011) (0)
Proceedings of the 19th International Conference on Artificial Neural Networks: Part II (2009) (0)
Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III (2005) (0)
Identification of the damping ratio relationship of an autovehicle suspension (1993) (0)
Filtering and recognition of moving boats in radar images (1993) (0)
Peak Shaving in Distribution Networks Using Stationary Energy Storage Systems: A Swiss Case Study (2023) (0)
Adaptive Ensemble of Classifiers (0)
Graph iForest: Isolation of anomalous and outlier graphs (2022) (0)
Anomaly Detection in Optical Spectra VIA Joint Optimization (2023) (0)
Special issue on intelligent control and information processing (2013) (0)
Uncertainty, Information, and Learning Mechanisms (2014) (0)
Where and How to Improve Graph-based Spatio-temporal Predictors (2023) (0)
Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems (2013) (0)
Classification methods, reduced datasets and quality analysis applications (2004) (0)
System and method for monitoring laser welds and to provide an indication of the quality of the weld (2003) (0)
Recent History of Route Surveys (2004) (0)
Proceedings of the Second international conference on Advances in neural networks - Volume Part II (2005) (0)
F ILLING THE G AP S : M ULTIVARIATE T IME S ERIES I MPUTATION BY G RAPH N EURAL N ETWORKS (2022) (0)
Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence (2012) (0)
VECIMS 2008 ORGANIZING COMMITTEE (2008) (0)
A virtual machine for energy management in WSNs (2009) (0)
2020 IEEE CIS Awards [Society Briefs] (2020) (0)
Part II : Designing the classifier (0)
Feudal Graph Reinforcement Learning (2023) (0)
An Embedded System for Delimiting Hzardous Areas (2006) (0)
A system-level analysis of robustness by randomised algorithms (2001) (0)
2013 IEEE CIS Awards [Society Briefs] (2012) (0)
High level accuracy loss estimates for a class of analog/digital systems (2003) (0)
Encoding-Decoding Machines for Online Concept-Drift Detection on Datastreams (2014) (0)
Seizure localisation with attention-based graph neural networks (2020) (0)
Model Complexity, Regularization, and Sparsity [Guest Editorial] (2016) (0)
Ensembles of change-point methods to estimate the change point in residual sequences (2013) (0)
Book and Media Review Editor (2008) (0)
Graph Kalman Filters (2023) (0)
Statistical Properties for Multiparadigm Pattern Recognition (2004) (0)
Taming Local Effects in Graph-based Spatiotemporal Forecasting (2023) (0)
The determination of angular values and parameters in flat surfaces: from the mathematical approach to the CORDIC architecture (1991) (0)
Model Complexity , Regularization , and Sparsity (0)
Algorithms and Tools for Intelligent Monitoring of Critical Infrastructure Systems (2015) (0)
A high-level synthesis methodology for embedded mixed analog/digital processing systems (2003) (0)
A Hierarchical LLCRouting Algorithm forWSNs (2007) (0)
Neural Networks Pioneer Award (2012) (0)
Control of the underexcitation mode of synchronous machines in power plants (1995) (0)
A New Discovery from the 1904 Ilanz Cache: Alternatives to the Six-Ray Star in Desiderius's Tremisses (2007) (0)
Relational Inductive Biases for Object-Centric Image Generation (2023) (0)
Above and Below the Ocean Surface: A WSN Framework for Monitoring the Great Barrier Reef (2017) (0)
Towards acredible WSNsdeployment: amonitoring framework basedonanadaptive communication protocol andenergy-harvestin g availability (2008) (0)
Le wireless sensor networks (2006) (0)
A Report on the CIS Second Video Competition [Society Briefs] (2014) (0)
A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures (2021) (0)
The Accuracy-Robustness issue in Neural Networks: Small perturbations and Randomized Algorithms-based Analyses (2003) (0)
IEEE CIS Education Activities Vision Statement [Society Briefs] (2013) (0)
IEEE COMPUTATIONAL INTELLIGENCE SOCIETY 2004 Administrative Committee (2004) (0)
2021 IEEE CIS Awards [Society Briefs] (2021) (0)
Exploiting application locality to design fast, low power, low complexity neural classifiers (2005) (0)
Graph Embeddings from Random Neural Features (2019) (0)
From Metrology to Digital Data (2014) (0)
The Third International Conference on Sensing Technology (ICST 2008) (2008) (0)
CIHSPS 2004 CONFERENCE COMMITTEE (2004) (0)

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What Schools Are Affiliated With Cesare Alippi?

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