| A False Positive Reduction System For Continuous Water Quality Monitoring | 0 | 0.34 | 2021 |
| An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. | 0 | 0.34 | 2020 |
| An IoT-ready solution for automated recognition of water contaminants | 3 | 0.47 | 2020 |
| An end-to-end deep learning system for medieval writer identification | 2 | 0.35 | 2020 |
| A multi-context CNN ensemble for small lesion detection | 2 | 0.36 | 2020 |
| A Preliminary Solution for Anomaly Detection in Water Quality Monitoring | 0 | 0.34 | 2020 |
| Addressing class imbalance in deep learning for small lesion detection on medical images. | 4 | 0.42 | 2020 |
| Deep Transfer Learning For Alzheimer'S Disease Detection | 0 | 0.34 | 2020 |
| A Page-Based Reject Option for Writer Identification in Medieval Books. | 0 | 0.34 | 2019 |
| Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. | 0 | 0.34 | 2019 |
| A Novel Smart System for Contaminants Detection and Recognition in Water | 2 | 0.42 | 2019 |
| Mammogram Denoising To Improve The Calcification Detection Performance Of Convolutional Nets | 0 | 0.34 | 2018 |
| Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. | 0 | 0.34 | 2018 |
| Improving The Automated Detection Of Calcifications By Combining Deep Cascades And Deep Convolutional Nets | 0 | 0.34 | 2018 |
| A Deep Learning Framework For Micro-Calcification Detection In 2d Mammography And C-View | 0 | 0.34 | 2018 |
| The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks | 0 | 0.34 | 2017 |
| Illumination Correction by Dehazing for Retinal Vessel Segmentation | 1 | 0.37 | 2017 |
| Exploiting coding theory for classification: An LDPC-based strategy for multiclass-to-binary decomposition. | 0 | 0.34 | 2016 |
| An effective learning strategy for cascaded object detection. | 4 | 0.41 | 2016 |
| Designing LDPC Codes for ECOC Classification Systems. | 0 | 0.34 | 2014 |
| Coding Theory Tools for Improving Recognition Performance in ECOC Systems. | 1 | 0.36 | 2013 |
| Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. | 0 | 0.34 | 2013 |
| Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms | 1 | 0.35 | 2013 |
| Detecting clusters of microcalcifications with a cascade-based approach | 1 | 0.37 | 2012 |
| Design of reject rules for ECOC classification systems | 14 | 0.58 | 2012 |
| On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve | 2 | 0.38 | 2011 |
| Exploring cascade classifiers for detecting clusters of microcalcifications | 0 | 0.34 | 2011 |
| Two stage reject rule for ECOC classification systems | 0 | 0.34 | 2011 |
| Shaping the error-reject curve of error correcting output coding systems | 1 | 0.35 | 2011 |
| Exploiting System Knowledge to Improve ECOC Reject Rules | 3 | 0.41 | 2010 |
| A linear combination of classifiers via rank margin maximization | 1 | 0.37 | 2010 |
| A computer-aided detection system for clustered microcalcifications. | 8 | 0.60 | 2010 |
| Towards a Linear Combination of Dichotomizers by Margin Maximization | 0 | 0.34 | 2009 |
| Exploring Margin Maximization for Biometric Score Fusion | 1 | 0.36 | 2008 |
| Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach | 2 | 0.42 | 2008 |
| An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules | 4 | 0.43 | 2007 |
| Embedding reject option in ECOC through LDPC codes | 3 | 0.40 | 2007 |
| A framework for multiclass reject in ECOC Classification systems | 4 | 0.40 | 2007 |
| Exploiting AUC for optimal linear combinations of dichotomizers | 10 | 0.82 | 2006 |
| AUC-Based linear combination of dichotomizers | 1 | 0.35 | 2006 |
| SVM based regression schemes for instruments fault accommodation in automotive systems | 2 | 0.38 | 2005 |
| Algorithms for detecting clusters of microcalcifications in mammograms | 6 | 0.59 | 2005 |
| Estimating the ROC curve of linearly combined dichotomizers | 0 | 0.34 | 2005 |
| A Method for Designing Cost-Sensitive ECOC | 0 | 0.34 | 2004 |
| A Cost-Sensitive Paradigm for Multiclass to Binary Decomposition Schemes | 1 | 0.36 | 2004 |
