Cesare Alippi
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Italian computer engineer
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Cesare Alippicomputer-science Degrees
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Engineering Computer Science
Why Is Cesare Alippi Influential?
(Suggest an Edit or Addition)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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