Didaci, L.[Luca]
* 2002: Intrusion detection in computer networks by multiple classifier systems
* 2003: Fusion of multiple classifiers for intrusion detection in computer networks
* 2005: study on the performances of dynamic classifier selection based on local accuracy estimation, A
* 2006: Using Co-training and Self-training in Semi-supervised Multiple Classifier Systems
* 2007: Template Co-update in Multimodal Biometric Systems
* 2008: Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems, A
* 2009: Modelling FRR of Biometric Verification Systems Using the Template Co-update Algorithm
* 2009: Personal identity verification by serial fusion of fingerprint and face matchers
* 2012: Analysis of Co-training Algorithm with Very Small Training Sets
* 2012: Poisoning Adaptive Biometric Systems
* 2013: Estimating the Serial Combination's Performance from That of Individual Base Classifiers
* 2014: Analysis of unsupervised template update in biometric recognition systems
* 2015: Adversarial Biometric Recognition: A review on biometric system security from the adversarial machine-learning perspective
* 2015: EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks, An
* 2017: parameter randomization approach for constructing classifier ensembles, A
* 2019: Personal Identity Verification by EEG-Based Network Representation on a Portable Device
* 2019: Robustness of functional connectivity metrics for EEG-based personal identification over task-induced intra-class and inter-class variations
* 2022: Biometric presentation attacks: Handcrafted features versus deep learning approaches
Includes: Didaci, L.[Luca] Didaci, L.
18 for Didaci, L.
Didah
* 2022: Posyandu Application for Monitoring Children Under-Five: A 3-Year Data Quality Map in Indonesia
Didan, K.[Kamel]
* 2021: Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area
* 2021: Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020
* 2022: Estimating Productivity Measures in Guayule Using UAS Imagery and Sentinel-2 Satellite Data
* 2023: Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform
* 2023: Riparian Plant Evapotranspiration and Consumptive Use for Selected Areas of the Little Colorado River Watershed on the Navajo Nation
Didas, S.[Stephan]
* 2005: Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
* 2005: Relations Between Higher Order TV Regularization and Support Vector Regression
* 2005: Relativistic Scale-Spaces
* 2005: Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering
* 2006: From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering
* 2006: Highly Accurate Optic Flow Computation with Theoretically Justified Warping
* 2006: Splines in Higher Order TV Regularization
* 2007: Combining Curvature Motion and Edge-Preserving Denoising
* 2007: Direct Shape-from-Shading with Adaptive Higher Order Regularisation
* 2007: Evaluating a General Class of Filters for Image Denoising
* 2007: Generic Approach to the Filtering of Matrix Fields with Singular PDEs, A
* 2007: Morphology for matrix data: Ordering versus PDE-based approach
* 2008: Generic Neighbourhood Filtering Framework for Matrix Fields, A
* 2009: Properties of Higher Order Nonlinear Diffusion Filtering
* 2010: Generalised Nonlocal Image Smoothing
* 2017: Multi-scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization
16 for Didas, S.
Diday, E.[Edwin]
* 1974: Optimization in non-hierarchical clustering
* 1988: Compatibility and consensus in numerical taxonomy
* 1991: Symbolic clustering using a new dissimilarity measure
* 2000: Growing a tree classifier with imprecise data
* 2016: From the Symbolic Analysis of Virtual Faces to a Smiles Machine
Includes: Diday, E.[Edwin] Diday, E.