Fume, K.
Co Author Listing * Table structure analysis based on cell classification and cell modification for XML document transformation
Fumera, G.[Giorgio]
Co Author Listing * Adversarial Attacks Against Uncertainty Quantification
* Adversarial Biometric Recognition: A review on biometric system security from the adversarial machine-learning perspective
* Adversarial Pattern Classification Using Multiple Classifiers and Randomisation
* Analysis of Co-training Algorithm with Very Small Training Sets
* Analysis of error-reject trade-off in linearly combined classifiers
* Analysis of error-reject trade-off in linearly combined multiple classifiers
* Automatic Myelofibrosis Grading from Silver-Stained Images
* Blues: Before-relu-estimates Bayesian Inference for Crowd Counting
* Classification Approach with a Reject Option for Multi-label Problems, A
* Classification with reject option in text categorisation systems
* Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval
* Design of Effective Multiple Classifier Systems by Clustering of Classifiers
* Designing multi-label classifiers that maximize F measures: State of the art
* Exploiting Depth Information for Indoor-Outdoor Scene Classification
* Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance, An
* F-measure curves: A tool to visualize classifier performance under imbalance
* F-measure optimisation in multi-label classifiers
* Fast Image Classification with Reduced Multiclass Support Vector Machines
* Fast person re-identification based on dissimilarity representations
* General Method for Appearance-Based People Search Based on Textual Queries, A
* Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms
* How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
* Image Spam Filtering Using Visual Information
* Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid
* Learning of Multilabel Classifiers
* Loss factors for learning Boosting ensembles from imbalanced data
* method for error rejection in multiple classifier systems, A
* Multi-label classification with a reject option
* Multi-Stage Approach for Fast Person Re-identification, A
* Multi-stage ranking approach for fast person re-identification
* Multimodal Person Reidentification Using RGB-D Cameras
* Multiple Component Matching Framework for Person Re-identification, A
* On Security and Sparsity of Linear Classifiers for Adversarial Settings
* On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models
* On the Evaluation of Video-Based Crowd Counting Models
* Online Domain Adaptation for Person Re-Identification with a Human in the Loop
* parameter randomization approach for constructing classifier ensembles, A
* Pattern Recognition Systems under Attack
* Poisoning Adaptive Biometric Systems
* Reject option with multiple thresholds
* Robustness Evaluation of Biometric Systems under Spoof Attacks
* Scene-specific crowd counting using synthetic training images
* Security evaluation of biometric authentication systems under real spoofing attacks
* Specialise to Generalise: The Person Re-identification Case
* Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems
* Super-Sparse Regression for Fast Age Estimation from Faces at Test Time
* survey and experimental evaluation of image spam filtering techniques, A
* Theoretical Analysis of Bagging as a Linear Combination of Classifiers, A
* Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems, A
* Threshold optimisation for multi-label classifiers
Includes: Fumera, G.[Giorgio] Fumera, G.
50 for Fumera, G.
Fumero, M.[Marco]
Co Author Listing * CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation