Fume, K.
* 2005: Table structure analysis based on cell classification and cell modification for XML document transformation
Fumera, G.[Giorgio]
* 2000: Design of Effective Multiple Classifier Systems by Clustering of Classifiers
* 2000: Reject option with multiple thresholds
* 2001: Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval
* 2001: method for error rejection in multiple classifier systems, A
* 2002: Analysis of error-reject trade-off in linearly combined classifiers
* 2003: Classification with reject option in text categorisation systems
* 2004: Analysis of error-reject trade-off in linearly combined multiple classifiers
* 2005: Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems, A
* 2007: Image Spam Filtering Using Visual Information
* 2008: Adversarial Pattern Classification Using Multiple Classifiers and Randomisation
* 2008: Theoretical Analysis of Bagging as a Linear Combination of Classifiers, A
* 2011: Classification Approach with a Reject Option for Multi-label Problems, A
* 2011: Exploiting Depth Information for Indoor-Outdoor Scene Classification
* 2011: Multiple Component Matching Framework for Person Re-identification, A
* 2011: Robustness Evaluation of Biometric Systems under Spoof Attacks
* 2011: survey and experimental evaluation of image spam filtering techniques, A
* 2012: Analysis of Co-training Algorithm with Very Small Training Sets
* 2012: F-measure optimisation in multi-label classifiers
* 2012: Fast person re-identification based on dissimilarity representations
* 2012: General Method for Appearance-Based People Search Based on Textual Queries, A
* 2012: Poisoning Adaptive Biometric Systems
* 2012: Security evaluation of biometric authentication systems under real spoofing attacks
* 2013: Multi-label classification with a reject option
* 2013: Pattern Recognition Systems under Attack
* 2013: Threshold optimisation for multi-label classifiers
* 2014: Learning of Multilabel Classifiers
* 2015: Adversarial Biometric Recognition: A review on biometric system security from the adversarial machine-learning perspective
* 2015: Fast Image Classification with Reduced Multiclass Support Vector Machines
* 2015: Super-Sparse Regression for Fast Age Estimation from Faces at Test Time
* 2016: Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance, An
* 2016: Loss factors for learning Boosting ensembles from imbalanced data
* 2016: Multi-Stage Approach for Fast Person Re-identification, A
* 2016: Multimodal Person Reidentification Using RGB-D Cameras
* 2016: On Security and Sparsity of Linear Classifiers for Adversarial Settings
* 2017: Designing multi-label classifiers that maximize F measures: State of the art
* 2017: Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms
* 2017: Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid
* 2017: parameter randomization approach for constructing classifier ensembles, A
* 2017: Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems
* 2018: Multi-stage ranking approach for fast person re-identification
* 2020: F-measure curves: A tool to visualize classifier performance under imbalance
* 2021: Automatic Myelofibrosis Grading from Silver-Stained Images
* 2021: How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
* 2021: Online Domain Adaptation for Person Re-Identification with a Human in the Loop
* 2022: On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models
* 2022: On the Evaluation of Video-Based Crowd Counting Models
* 2022: Scene-specific crowd counting using synthetic training images
* 2023: Adversarial Attacks Against Uncertainty Quantification
* 2023: Blues: Before-relu-estimates Bayesian Inference for Crowd Counting
* 2023: Specialise to Generalise: The Person Re-identification Case
Includes: Fumera, G.[Giorgio] Fumera, G.
50 for Fumera, G.
Fumero, M.[Marco]
* 2022: CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation