Index for serp

Serpa, C.[Cristina] * 2021: Fractal Nature of Advanced Ni-Based Superalloys Solidified on Board the International Space Station

Serpa, D.[Dalila] * 2023: Influence of DEM Resolution on the Hydrological Responses of a Terraced Catchment: An Exploratory Modelling Approach

Serpa, Y.R.[Yvens Reboucas] * 2019: draw call-oriented approach for visibility of static and dynamic scenes with large number of triangles, A
Includes: Serpa, Y.R.[Yvens Reboucas] Serpa, Y.R.[Yvens Rebouças]

Serpanos, D. * 2021: Role of Modularity in Multimodal Simultaneous Localization and Mapping Systems, The
* 2022: Reshaping the Intelligent Transportation Scene: Challenges of an Operational and Safe Internet of Vehicles
Includes: Serpanos, D. Serpanos, D.[Dimitrios]

Serpanos, D.N. * 2008: Security and Privacy in Distributed Smart Cameras

Serpedin, E.[Erchin] * 2010: On Clock Offset Estimation in Wireless Sensor Networks with Weibull Distributed Network Delays
* 2018: Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters
* 2018: Robust Fussed Lasso Model for Recurrent Copy Number Variation Detection
Includes: Serpedin, E.[Erchin] Serpedin, E.

Serpell, Z.[Zewelanji] * 2011: Towards an Optimal Affect-Sensitive Instructional System of cognitive skills
* 2014: Faces of Engagement: Automatic Recognition of Student Engagement from Facial Expressions, The
Includes: Serpell, Z.[Zewelanji] Serpell, Z.

Serpelloni, E.[Enrico] * 2021: Relative Sea-Level Rise Scenario for 2100 along the Coast of South Eastern Sicily (Italy) by InSAR Data, Satellite Images and High-Resolution Topography
* 2022: Impact of Future Sea-Level Rise on Low-Lying Subsiding Coasts: A Case Study of Tavoliere Delle Puglie (Southern Italy), The
* 2022: Refining Rates of Active Crustal Deformation in the Upper Plate of Subduction Zones, Implied by Geological and Geodetic Data: The E-Dipping West Crati Fault, Southern Italy
* 2023: Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data

Serpentoni, M.[Matteo] * 2022: What makes you, you? Analyzing Recognition by Swapping Face Parts

Serpetti, M.[Matteo] * 2022: Newly Developed Tool for the Post-Processing of GPR Time-Slices in A GIS Environment, A
* 2022: Newly Developed Tool for the Post-Processing of GPR Time-Slices in A GIS Environment, A

Serpico, B. * 1992: Musip Multi-Sensor Image Processing System

Serpico, S. * 1996: Classification of Multisensor Remote Sensing Images by Multiple Structured Neural Networks
* 1998: Parallel Network of Modified 1-NN and K-NN Classifiers: Application to Remote Sensing Image Classification, A
* 2017: Clustering Approach to Heterogeneous Change Detection, A
Includes: Serpico, S. Serpico, S.[Sebastiano]

Serpico, S.B. * 1988: Analysis and Classification of SAR Images by a Knowledge-Based Approach
* 1988: Extension of IBIS for 3D Organ Recognition in NMR Multislices
* 1991: System for the Interpretation of 3-D Moving Scenes from 2-D Image Sequences, A
* 1992: Automatic Acquisition of Visual Models for Image Recognition
* 1994: Supervised learning of descriptions for image recognition purposes
* 1995: Crack detection by a measure of texture anisotropy
* 1995: Image Recognition by Integration of Connectionist and Symbolic Approaches
* 1996: Experimental Comparison of Neural and Statistical Nonparametric Algorithms for Supervised Classification of Remote Sensing Images, An
* 1996: Hybrid System For 2-Dimensional Image Recognition, A
* 1997: Analysis and segmentation of remote-sensing images for land-cover mapping
* 1997: Classification of Imbalanced Remote Sensing Data by Neural Networks
* 1997: Detection of Changes in Remotely-Sensed Images by the Selective Use of Multispectral Information
* 1998: Image and Signal Processing for Remote Sensing IV
* 1999: Image and Signal Processing for Remote Sensing V
* 1999: Neural-Statistical Approach to Multitemporal and Multisource Remote-Sensing Image Classification, A
* 2000: technique for feature selection in multiclass problems, A
* 2001: Introduction to the special issue on analysis of hyperspectral image data
* 2001: new search algorithm for feature selection in hyperspectral remote sensing images, A
* 2002: Multisource data classification with dependence trees
* 2002: statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images, A
* 2003: markov random field approach to spatio-temporal contextual image classification, A
* 2004: Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* 2004: SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* 2005: Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data
* 2005: Partially Supervised Classification of Remote Sensing Images Through SVM-Based Probability Density Estimation
* 2006: Cell algorithms with data inflation for non-parametric classification
* 2006: Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* 2006: Generalized Minimum-Error Thresholding for Unsupervised Change Detection From SAR Amplitude Imagery
* 2006: SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* 2006: Weight Parameter Optimization by the Ho-Kashyap Algorithm in MRF Models for Supervised Image Classification
* 2007: Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes
* 2008: Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images
* 2009: Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion
* 2012: Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test
* 2012: Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation
* 2013: Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification
* 2013: False discovery rate approach to image change detection
* 2013: Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images
* 2013: On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
* 2013: Textural-Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images, A
* 2014: New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data
* 2014: Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach
* 2016: Contextual multi-scale image classification on quadtree
* 2016: False Discovery Rate Approach to Unsupervised Image Change Detection
* 2016: Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts
* 2016: New Cascade Model for the Hierarchical Joint Classification of Multitemporal and Multiresolution Remote Sensing Data, A
* 2016: Polarimetric SAR Change Detection With the Complex Hotelling-Lawley Trace Statistic
* 2018: Markovian Approach to Unsupervised Change Detection with Multiresolution and Multimodality SAR Data, A
* 2019: Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images
* 2020: Crater Detection and Registration of Planetary Images Through Marked Point Processes, Multiscale Decomposition, and Region-Based Analysis
* 2021: Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling
* 2021: Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles
* 2022: Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
* 2022: Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images
* 2022: Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping
* 2022: Registration of Multisensor Images through a Conditional Generative Adversarial Network and a Correlation-Type Similarity Measure
Includes: Serpico, S.B. Serpico, S.B.[Sebastiano B.] Serpico, S.B.[Sebastiano Bruno]
56 for Serpico, S.B.

Serpiva, V.[Valerii] * 2023: Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

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