Sans, X.G.[Xavier Gonzalez]
* 2020: Variation of Ionospheric Narrowband and Wideband Performance for a 12,760 km Transequatorial Link and Its Dependence on Solar and Ionospheric Activity
Sansal, B.
* 2000: Compound PCA-ICA Neural Network Model for Enhancement and Feature Extraction of Multi-frequency Polarimetric SAR Imagery
* 2002: Statistical characterisation and modelling of SAR images
Includes: Sansal, B. Sansal, B.[Boualem]
Sansao, J.P.H.[Joao P. H.]
* 2020: Effects of Color Quantization on JPEG Compression
Sanseverino, A.[Anna]
* 2022: HBIM Methodology for the Accurate and Georeferenced Reconstruction of Urban Contexts Surveyed by UAV: The Case of the Castle of Charles V, An
Sansigre, G.
* 2010: Analysis of the Error Signal of the LMS Algorithm
Sansivero, F.[Fabio]
* 2019: Processing Thermal Infrared Imagery Time-Series from Volcano Permanent Ground-Based Monitoring Network. Latest Methodological Improvements to Characterize Surface Temperatures Behavior of Thermal Anomaly Areas
* 2019: Surface Temperature Multiscale Monitoring by Thermal Infrared Satellite and Ground Images at Campi Flegrei Volcanic Area (Italy)
Sansiviero, M.[Manuela]
* 2018: New Approach for Monitoring the Terra Nova Bay Polynya through MODIS Ice Surface Temperature Imagery and Its Validation during 2010 and 2011 Winter Seasons, A
Sansli, D.B.[D. Bugdayci]
* 2014: Backward compatible enhancement of chroma format in HEVC
* 2014: Improved weighted prediction based color gamut scalability in SHVC
* 2014: Inter-view motion vector prediction in multiview HEVC
Includes: Sansli, D.B.[D. Bugdayci] Sansli, D.B.
Sanso, B.
* 2012: Performance Analysis of Adaptive Modulation in Multiuser Selection Diversity Systems With OSTBC Over Time-Varying Channels
Sansoe, C.
* 1994: PAPRICA-3: a real-time morphological image processor
Sansom, A.[Andrew]
* 2021: Spatial Pyramid Attention for Deep Convolutional Neural Networks
Sansom, C.[Carrie]
* 2018: Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data
Sanson, H.[Henri]
* 1995: Differential methods for the identification of 2D and 3D motion models in image sequences
* 1995: Toward a robust parametric identification of motion on regions of arbitrary shape by nonlinear optimization
* 1997: Image Approximation by Minimization of a Geometric Distance Applied to a 3D Finite Elements Based Model
* 1997: Robust Motion Estimation Using Connected Operators
* 1997: Robust Segmentation of Moving Image Sequences
* 1998: Combined mesh based image representation and motion estimation, application to video coding
* 1998: Hierarchical Segmentation of Video Sequences for Content Manipulation and Adaptive Coding
* 1998: Limitation of triangles overlapping in mesh-based motion estimation using augmented Lagrangian
* 1998: Relative depth estimation of video objects for image interpolation
* 1999: Shape distances for contour tracking and motion estimation
* 2008: Iterative unsupervised object detection system
Includes: Sanson, H.[Henri] Sanson, H.
11 for Sanson, H.
Sansone, C.
* 1995: adaptive reject option for LVQ classifiers, An
* 1996: Efficient Algorithm for the Inexact Matching of ARG Graphs Using a Contextual Transformational Model, An
* 1997: Character Recognition by Geometrical Moments on Structural Decompositions
* 1997: Classification reliability and its use in multi-classifier systems
* 1998: Graph Matching: A Fast Algorithm and its Evaluation
* 1999: Combining statistical and structural approaches for handwritten character description
* 1999: Definition and Validation of a Distance Measure Between Structural Primitives
* 1999: Multiclassification: reject criteria for the Bayesian combiner
* 1999: Performance evaluation of the VF graph matching algorithm
* 2000: Fast Graph Matching for Detecting CAD Image Components
* 2000: Signature Verification: Increasing Performance by a Multi-Stage System
* 2001: Classifying audio of movies by a multi-expert system
* 2001: Prototyping Structural Shape Descriptions by Inductive Learning
* 2002: Learning structural shape descriptions from examples
* 2003: Graph matching applications in pattern recognition and image processing
* 2003: large database of graphs and its use for benchmarking graph isomorphism algorithms, A
* 2003: real-time text-independent speaker identification system, A
* 2004: Multi-expert Approach for Shot Classification in News Videos, A
* 2004: Sub)Graph Isomorphism Algorithm for Matching Large Graphs, A
* 2005: Combining Genetic-Based Misuse and Anomaly Detection for Reliably Detecting Intrusions in Computer Networks
* 2005: Hierarchical Image Analysis Using Radon Transform: An Application to Error Concealment
* 2005: Improved Algorithm for Anchor Shot Detection, An
* 2006: Graph-Based Method for Detecting and Classifying Clusters in Mammographic Images, A
* 2006: Multi-stage Approach for Anchor Shot Detection, A
* 2006: Unsupervised Algorithm for Anchor Shot Detection, An
* 2007: Assessing the Performance of a Graph-Based Clustering Algorithm
* 2007: Evaluating Classification Reliability for Combining Classifiers
* 2007: Graph-Based Clustering Method and Its Applications, A
* 2008: Combining visual and textual features for filtering spam emails
* 2008: Pattern Recognition Approaches for Classifying IP Flows
* 2009: Anomaly-Based Detection of IRC Botnets by Means of One-Class Support Vector Classifiers
* 2009: Benchmarking graph-based clustering algorithms
* 2009: Impact of Reliability Evaluation on a Semi-supervised Learning Approach, The
* 2009: Improving the Accuracy of a Score Fusion Approach Based on Likelihood Ratio in Multimodal Biometric Systems
* 2010: Improving Performance of Network Traffic Classification Systems by Cleaning Training Data
* 2011: Experimental Comparison of Different Methods for Combining Biometric Identification Systems, An
* 2011: Selection of Suspicious ROIs in Breast DCE-MRI
* 2012: Combining perspiration- and morphology-based static features for fingerprint liveness detection
* 2012: Comparative Analysis of Forgery Detection Algorithms, A
* 2012: Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI, A
* 2013: Multiple Classifier Approach for Detecting Naked Human Bodies in Images, A
* 2014: Attacking the triangle test in sensor-based camera identification
* 2015: Evaluation of Residual-Based Local Features for Camera Model Identification
* 2015: Iris liveness detection for mobile devices based on local descriptors
* 2015: LBP-TOP for Volume Lesion Classification in Breast DCE-MRI
* 2015: Local contrast phase descriptor for fingerprint liveness detection
* 2016: Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI
* 2016: Cell image classification by a scale and rotation invariant dense local descriptor
* 2016: Shape Normalizing and Tracking Dancing Worms
* 2016: Using iris and sclera for detection and classification of contact lenses
* 2017: Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI, An
* 2017: PRNU-Based Forgery Localization in a Blind Scenario
* 2018: Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks
* 2018: Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns
* 2018: deep learning approach for iris sensor model identification, A
* 2019: 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI
* 2019: Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification
* 2019: Introduction to the special issue on robustness, security and regulation aspects in current biometric systems (RSRA-BS)
* 2019: Skin Lesions Classification: A Radiomics Approach with Deep CNN
* 2020: Developing a Smart PACS: CBIR System Using Deep Learning
* 2020: Fingerprint Adversarial Presentation Attack in the Physical Domain
* 2020: Reliability of explainable Artificial Intelligence in Adversarial Perturbation Scenarios
* 2020: Survey About the Cyberbullying Problem on Social Media by Using Machine Learning Approaches, A
* 2021: DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI
* 2021: Deep learning in the ultrasound evaluation of neonatal respiratory status
* 2021: Neural Machine Registration for Motion Correction in Breast DCE-MRI
* 2021: On the transferability of adversarial perturbation attacks against fingerprint based authentication systems
* 2022: Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer
* 2022: LessonAble: Leveraging Deep Fakes in MOOC Content Creation
* 2022: Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion
* 2022: On the Importance of Temporal Features in Domain Adaptation Methods for Action Recognition
* 2022: Toward a System for Post-Earthquake Safety Evaluation of Masonry Buildings
* 2023: Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection
* 2023: Fead-d: Facial Expression Analysis in Deepfake Detection
* 2023: Forest Aboveground Biomass Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction
Includes: Sansone, C. Sansone, C.[Carlo] Sansone, C.[Carmine]
75 for Sansone, C.
Sansone, E.[Emanuele]
* 2017: Automatic Synchronization of Multi-user Photo Galleries
* 2019: Efficient Training for Positive Unlabeled Learning
Sansone, M.[Mario]
* 2011: Selection of Suspicious ROIs in Breast DCE-MRI
* 2012: Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI, A
* 2015: LBP-TOP for Volume Lesion Classification in Breast DCE-MRI
* 2016: Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI
* 2017: Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI, An
* 2018: Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks
* 2018: Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns
* 2019: 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI
* 2019: Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification
* 2021: DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI
Includes: Sansone, M.[Mario] Sansone, M.
10 for Sansone, M.
Sansonetti, A.
* 2019: Integrated Survey Techniques: Preliminary Studies for The Conservation Of Villa Galvagnina
Sansonetti, G.[Giuseppe]
* 2003: Integrated System for Automatic Face Recognition, An
Sansoni, G.
* 1997: 3D Imager for Dimensional Gauging of Industrial Workpieces
* 1999: 3D shape recovery and registration based on the projection of non-coherent structured light
* 2019: Hand Gesture Recognition for Collaborative Workstations: A Smart Command System Prototype
Includes: Sansoni, G. Sansoni, G.[Giovanna]
Sansonnet, J.P.[Jean Paul]
* 2009: Towards Interactive Web-Based Virtual Signers: First Step, a Platform for Experimentation Design
Includes: Sansonnet, J.P.[Jean Paul] Sansonnet, J.P.[Jean-Paul]
Sansores, C.[Candelaria]
* 2008: Agent-based modelling and simulation for the analysis of social patterns
Sansosti, E.
* 1999: Digital elevation model generation using ascending and descending ERS-1/ERS-2 tandem data
* 1999: Two-Dimensional Region Growing Least Squares Phase Unwrapping Algorithm for Interferometric SAR Processing, A
* 2001: Spotlight SAR data focusing based on a two-step processing approach
* 2002: new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, A
* 2005: Phase Difference-Based Multichannel Phase Unwrapping
* 2006: Geometrical SAR Image Registration
* 2018: Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
* 2018: Use of Massive Deformation Datasets for the Analysis of Spatial and Temporal Evolution of Mauna Loa Volcano (Hawai'i), The
* 2021: Geodetic Model of the March 2021 Thessaly Seismic Sequence Inferred from Seismological and InSAR Data
* 2021: High Performance Computing in Satellite SAR Interferometry: A Critical Perspective
* 2021: Multithreading Based Parallel Processing for Image Geometric Coregistration in SAR Interferometry
* 2022: Satellite Radar and Camera Time Series Reveal Transition from Aligned to Distributed Crater Arrangement during the 2021 Eruption of Cumbre Vieja, La Palma (Spain)
* 2022: Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques
* 2023: Slope-Scale Evolution Categorization of Deep-Seated Slope Deformation Phenomena with Sentinel-1 Data
Includes: Sansosti, E. Sansosti, E.[Eugenio]
14 for Sansosti, E.
Sansrimahachai, P.
* 2005: Blind source separation of instantaneous MIMO systems based on the least-squares Constant Modulus Algorithm