Scala, B.
* 2017: 2012 Earthquake: An Abacus of Surveys And Interventions in Mantua Churches, The
* 2017: Modelling and Accuracy in a BIM Environment for Planned Conservation: The Apartment of Troia of Giulio Romano
* 2019: Geometric Survey Data and Historical Sources Interpretation for HBIM Process: The Case of Mantua Cathedral Façade
Scala, F.[Francesco]
* 2022: Learning to Active Learn by Gradient Variation based on Instance Importance
Scala, P.
* 1999: Filtering and prediction techniques in radar tracking of vehicles for assisted driving
* 2007: Human Computer Interaction: Legibility and Contrast
* 2020: Tackling Uncertainty for the Development of Efficient Decision Support System in Air Traffic Management
Includes: Scala, P. Scala, P.[Paolo]
Scalarin, C.
* 2008: Weakly supervised learning using proportion-based information: An application to fisheries acoustics
Scalas, A.[Andreas]
* 2022: Potential of the Geometric Layer in Urban Digital Twins
Scalas, M.[Michele]
* 2020: Explanation-driven Characterization of Android Ransomware
Scalas, M.R.[Maria Rita]
* 2001: Beyond Schema Versioning: A Flexible Model for Spatio-Temporal Schema Selection
Scalco, E.[Elisa]
* 2013: Non-rigid Multimodal Image Registration Based on the Expectation-Maximization Algorithm
* 2014: Multimodal Non-Rigid Registration Methods Based on Demons Models and Local Uncertainty Quantification Used in 3D Brain Images
* 2014: Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images
Scale, T.[Timothy]
* 2021: Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
Scalera, M.
* 2014: PQMET: A digital image quality metric based on human visual system
Scales, W.A.[Wayne A.]
* 2019: Satellite Formation Flight Simulation Using Multi-Constellation GNSS and Applications to Ionospheric Remote Sensing
Scalia, G.
* 2019: Crowd4ems: a Crowdsourcing Platform for Gathering and Geolocating Social Media Content in Disaster Response
* 2019: Spatio-temporal mining of keywords for social media cross-social crawling of emergency events
Includes: Scalia, G. Scalia, G.[Gabriele]
Scalici, M.[Massimiliano]
* 2021: Water Mixing Conditions Influence Sentinel-2 Monitoring of Chlorophyll Content in Monomictic Lakes
Scalise, A.[Anthony]
* 2008: Multidimensional image value assessment and rating for automated albuming and retrieval
Scalise, S.
* 2001: Turbo Coding for Sample-level Watermarking in the DCT Domain
* 2015: Pilot Application of 3D Underwater Imaging Techniques for Mapping Posidonia Oceanica (L.) Delile Meadows
Scallan, J.A.[Joseph A.]
* 2009: Overview of the Multiple Biometrics Grand Challenge
Scalmato, A.
* 2013: Describing and Recognizing Patterns of Events in Smart Environments With Description Logic
Scalzi, S.
* 2015: Automatic Rotor Speed Reference Generator for Electric Vehicles Under Slip Constraints
Scalzo Cornacchia, M.[Maria]
* 2015: Scale estimation with difference of ordered residuals
Includes: Scalzo Cornacchia, M.[Maria] Scalzo-Cornacchia, M.[Maria]
Scalzo, F.[Fabien]
* 2005: Statistical Learning of Visual Feature Hierarchies
* 2005: Task-Driven Learning of Spatial Combinations of Visual Features
* 2006: Unsupervised Learning of Dense Hierarchical Appearance Representation
* 2007: Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
* 2008: Feature Fusion Hierarchies for gender classification
* 2008: Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals
* 2010: Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms
* 2010: Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models
* 2015: Probabilistic Labeling of Cerebral Vasculature on MR Angiography
* 2016: Detection of Intracranial Hypertension using Deep Learning
* 2016: Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography
* 2016: Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature
* 2016: temporal deep learning approach for MR perfusion parameter estimation in stroke, A
* 2016: Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms
* 2016: Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks
* 2018: Automatic Registration of Serial Cerebral Angiography: A Comparative Review
* 2018: Skull Stripping Using Confidence Segmentation Convolution Neural Network
* 2019: Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging, A
* 2019: Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI
* 2020: Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography
* 2021: BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
* 2021: CT Perfusion Imaging of the Brain with Machine Learning
* 2022: Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography
Includes: Scalzo, F.[Fabien] Scalzo, F.
23 for Scalzo, F.
Scalzo, M.[Maria]
* 2014: Agglomerative clustering for feature point grouping
* 2014: Autonomous multi-scale object detection with hough forests