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Francesco Tortorella
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2020 – today
- 2024
- [j32]Claudio Marrocco
, Alessandro Bria
Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access 12: 79585-79601 (2024) - [j31]Zakia Khatun, Halldór Jónsson Jr., Mariella Tsirilaki, Nicola Maffulli, Francesco Oliva, Pauline Daval, Francesco Tortorella, Paolo Gargiulo:
Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network. Comput. Methods Programs Biomed. 256: 108398 (2024) - [j30]Halldór Kárason, Pierluigi Ritrovato, Nicola Maffulli
Wearable approaches for non-invasive monitoring of tendons: A scoping review. Internet Things 26: 101199 (2024) - [j29]Marya Ryspayeva, Alessandro Bria, Claudio Marrocco, Francesco Tortorella, Mario Molinara:
Transfer learning in breast mass detection and classification. J. Ambient Intell. Humaniz. Comput. 15(10): 3587-3602 (2024) - [c75]Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria:
Transformer Models for Enhanced Calcifications Detection in Mammography. ICPR (13) 2024: 17-33 - 2023
- [j28]Marco Cantone, Claudio Marrocco
Learnable DoG convolutional filters for microcalcification detection. Artif. Intell. Medicine 143: 102629 (2023) - [j27]Amparo S. Betancourt Tarifa, Claudio Marrocco, Mario Molinara
Transformer-based mass detection in digital mammograms. J. Ambient Intell. Humaniz. Comput. 14(3): 2723-2737 (2023) - [j26]Marco Cantone
Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. Sensors 23(3): 1229 (2023) - [c74]Ruth Kehali Kassahun
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. ICIAP Workshops (2) 2023: 71-82 - [c73]Gennaro Percannella
Combined Data Augmentation for HEp-2 Cells Image Classification. ICIAP Workshops (2) 2023: 104-115 - [c72]Halldór Kárason, Pierluigi Ritrovato, Nicola Maffulli, Francesco Tortorella:
Generative Data Augmentation of Human Biomechanics. ICIAP Workshops (1) 2023: 482-493 - 2022
- [c71]Marya Ryspayeva, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. ICPR Workshops (1) 2022: 529-538 - [c70]Gennaro Percannella
Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach. ICPR 2022: 4343-4349 - [c69]Zakia Khatun
The Role of Muscle and Tendon in Predicting Cartilage Degeneration and Tendinopathy. MetroXRAINE 2022: 289-294 - 2020
- [j25]Benedetta Savelli, Alessandro Bria, Mario Molinara, Claudio Marrocco
A multi-context CNN ensemble for small lesion detection. Artif. Intell. Medicine 103: 101749 (2020) - [j24]Alessandro Bria
Addressing class imbalance in deep learning for small lesion detection on medical images. Comput. Biol. Medicine 120: 103735 (2020) - [j23]Luca Greco
Trends in IoT based solutions for health care: Moving AI to the edge. Pattern Recognit. Lett. 135: 346-353 (2020) - [c68]Alessandro Bria
Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. ICPR Workshops (1) 2020: 526-535
2010 – 2019
- 2019
- [c67]Benedetta Savelli, Claudio Marrocco
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. CAIP Workshops 2019: 36-44 - 2018
- [j22]Alessandro Bria
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. IEEE Trans. Medical Imaging 37(8): 1857-1864 (2018) - [c66]Claudio Marrocco
Mammogram denoising to improve the calcification detection performance of convolutional nets. IWBI 2018: 107180W - [c65]Alessandro Bria, Claudio Marrocco
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. IWBI 2018: 1071808 - [c64]Giovanni Trovini, Christian Napoli, Robert Marti
A deep learning framework for micro-calcification detection in 2D mammography and C-view. IWBI 2018: 1071811 - [c63]Paolo Bruschi, Gianni Cerro
A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition. SMARTCOMP 2018: 470-475 - 2017
- [c62]Agnese Marchesi, Alessandro Bria, Claudio Marrocco
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. CBMS 2017: 207-212 - [c61]Benedetta Savelli, Alessandro Bria, Adrian Galdran
Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS 2017: 219-224 - [c60]Grazia Fattoruso, Annalisa Agresta, Saverio De Vito, Antonio Buonanno, Mario Molinara
Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding. ICCSA (3) 2017: 427-442 - [c59]Benedetta Savelli, Agnese Marchesi, Alessandro Bria, Claudio Marrocco
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. ICIAP (2) 2017: 267-276 - [c58]Alessandro Bria, Claudio Marrocco
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) 2017: 288-298 - 2016
- [j21]Alessandro Bria, Claudio Marrocco
An effective learning strategy for cascaded object detection. Inf. Sci. 340-341: 17-26 (2016) - [j20]Claudio Marrocco
Exploiting coding theory for classification: An LDPC-based strategy for multiclass-to-binary decomposition. Inf. Sci. 357: 88-107 (2016) - [c57]Alessandro Bria, Claudio Marrocco
LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. Digital Mammography / IWDM 2016: 27-34 - [c56]Alessandro Bria, Claudio Marrocco
Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM 2016: 415-422 - 2014
- [j19]Alessandro Bria, Nico Karssemeijer, Francesco Tortorella
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. Medical Image Anal. 18(2): 241-252 (2014) - [c55]Claudio Marrocco
Bit Error Recovery in ECOC Systems through LDPC Codes. ICPR 2014: 1454-1459 - [c54]Claudio Marrocco
Designing LDPC Codes for ECOC Classification Systems. S+SSPR 2014: 454-463 - 2013
- [c53]Alessandro Bria, Claudio Marrocco
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. AIME 2013: 166-170 - [c52]Mario Molinara
Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms. CBMS 2013: 506-509 - [c51]Mario Molinara
A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography. ICIAP (2) 2013: 572-580 - [c50]Carlo Sansone
A novel approach for detecting alerts in urban pollution monitoring with low cost sensors. M&N 2013: 89-93 - [c49]Claudio Marrocco
Coding Theory Tools for Improving Recognition Performance in ECOC Systems. MCS 2013: 201-211 - 2012
- [j18]Paolo Simeone
Design of reject rules for ECOC classification systems. Pattern Recognit. 45(2): 863-875 (2012) - [j17]Paolo Soda, Sameer K. Antani, Francesco Tortorella, Mario Cannataro, Mykola Pechenizkiy
Trends in computer-based medical systems. SIGHIT Rec. 2(2): 46-50 (2012) - [c48]Claudio Marrocco
Detection of cluster of microcalcifications based on watershed segmentation algorithm. CBMS 2012: 1-5 - [c47]Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
A ranking-based cascade approach for unbalanced data. ICPR 2012: 3439-3442 - [c46]Alessandro Bria
Detecting Clusters of Microcalcifications with a Cascade-Based Approach. Digital Mammography / IWDM 2012: 111-118 - [e1]Paolo Soda, Francesco Tortorella, Sameer K. Antani, Mykola Pechenizkiy, Mario Cannataro, Alexey Tsymbal:
Proceedings of CBMS 2012, The 25th IEEE International Symposium on Computer-Based Medical Systems, June 20-22, 2012, Rome, Italy. IEEE Computer Society 2012, ISBN 978-1-4673-2051-1 [contents] - 2011
- [j16]Maria Teresa Ricamato, Francesco Tortorella
Partial AUC maximization in a linear combination of dichotomizers. Pattern Recognit. 44(10-11): 2669-2677 (2011) - [j15]Claudio Marrocco
On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. IEEE Trans. Syst. Man Cybern. Part B 41(3): 610-620 (2011) - [c45]Claudio Marrocco
A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications. CBMS 2011: 1-6 - [c44]Paolo Simeone
Shaping the Error-Reject Curve of Error Correcting Output Coding Systems. ICIAP (1) 2011: 118-127 - [c43]Claudio Marrocco
Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications. ICIAP (1) 2011: 384-392 - [c42]Pasquale D'Andreti, Francesco Tortorella
A machine learning based algorithm for routing bandwidth-guaranteed paths in MPLS TE: Improvements and performance assessment. M&N 2011: 65-70 - [c41]Maria Teresa Ricamato, Mario Molinara
Selection Strategies for pAUC-Based Combination of Dichotomizers. MCS 2011: 177-186 - [c40]Paolo Simeone
Two Stage Reject Rule for ECOC Classification Systems. MCS 2011: 217-226 - 2010
- [j14]Paolo Soda
Knowledge discovery and computer-based decision support in biomedicine. Artif. Intell. Medicine 50(1): 1-2 (2010) - [j13]Claudio Marrocco
A computer-aided detection system for clustered microcalcifications. Artif. Intell. Medicine 50(1): 23-32 (2010) - [c39]Maria Teresa Ricamato, Francesco Tortorella
AUC-based Combination of Dichotomizers: Is Whole Maximization also Effective for Partial Maximization? ICPR 2010: 73-76 - [c38]Paolo Simeone
Exploiting System Knowledge to Improve ECOC Reject Rules. ICPR 2010: 4340-4343 - [c37]Saverio De Vito
Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models. IJCNN 2010: 1-7 - [c36]Claudio Marrocco
A Linear Combination of Classifiers via Rank Margin Maximization. SSPR/SPR 2010: 650-659 - [c35]Maria Teresa Ricamato, Francesco Tortorella
Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve. SSPR/SPR 2010: 660-669
2000 – 2009
- 2009
- [c34]Claudio Marrocco
Towards a Linear Combination of Dichotomizers by Margin Maximization. ICIAP 2009: 1043-1052 - 2008
- [j12]Claudio Marrocco
Maximizing the area under the ROC curve by pairwise feature combination. Pattern Recognit. 41(6): 1961-1974 (2008) - [c33]Ciro D'Elia, Claudio Marrocco
Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach. CBMS 2008: 572-577 - [c32]Maria Teresa Ricamato, Claudio Marrocco, Francesco Tortorella:
MCS-based balancing techniques for skewed classes: An empirical comparison. ICPR 2008: 1-4 - [c31]Francesco Tortorella, Rossella Patraccone, Mario Molinara:
A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs. ICPR 2008: 1-4 - [c30]Paolo Simeone
A Fast Approach to Improve Classification Performance of ECOC Classification Systems. SSPR/SPR 2008: 459-468 - [c29]Claudio Marrocco
Exploring Margin Maximization for Biometric Score Fusion. SSPR/SPR 2008: 674-683 - 2007
- [c28]Mario Molinara
Facing Imbalanced Classes through Aggregation of Classifiers. ICIAP 2007: 43-48 - [c27]Claudio Marrocco, Paolo Simeone, Francesco Tortorella:
Embedding Reject Option in ECOC Through LDPC Codes. MCS 2007: 333-343 - [c26]Claudio Marrocco, Mario Molinara, Francesco Tortorella:
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules. MLDM 2007: 47-60 - [c25]Claudio Marrocco, Paolo Simeone, Francesco Tortorella:
A Framework for Multiclass Reject in ECOC Classification Systems. SCIA 2007: 313-323 - 2006
- [j11]Francesco Tortorella
Special issue on "ROC Analysis in Pattern Recognition". Pattern Recognit. Lett. 27(8): 859-860 (2006) - [j10]Claudio Marrocco
Exploiting AUC for optimal linear combinations of dichotomizers. Pattern Recognit. Lett. 27(8): 900-907 (2006) - [c24]Claudio Marrocco, Mario Molinara, Francesco Tortorella:
AUC-Based Linear Combination of Dichotomizers. SSPR/SPR 2006: 714-722 - 2005
- [j9]Francesco Tortorella
A ROC-based reject rule for dichotomizers. Pattern Recognit. Lett. 26(2): 167-180 (2005) - [c23]Claudio Marrocco
Estimating the ROC Curve of Linearly Combined Dichotomizers. ICIAP 2005: 778-785 - [c22]Claudio Marrocco
Algorithms for Detecting Clusters of Microcalcifications in Mammograms. ICIAP 2005: 884-891 - [c21]Domenico Capriglione
SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems. ICIAP 2005: 1117-1124 - 2004
- [j8]Francesco Tortorella:
Reducing the classification cost of support vector classifiers through an ROC-based reject rule. Pattern Anal. Appl. 7(2): 128-143 (2004) - [c20]Ciro D'Elia, Claudio Marrocco
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. ICPR (3) 2004: 742-745 - [c19]Claudio Marrocco, Francesco Tortorella:
A Method for Designing Cost-Sensitive ECOC. Multiple Classifier Systems 2004: 204-213 - [c18]Claudio Marrocco, Francesco Tortorella:
A Cost-Sensitive Paradigm for Multiclass to Binary Decomposition Schemes. SSPR/SPR 2004: 753-761 - 2003
- [j7]Massimo De Santo, Mario Molinara
Automatic classification of clustered microcalcifications by a multiple expert system. Pattern Recognit. 36(7): 1467-1477 (2003) - [c17]Francesco Tortorella
An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications. ICIAP 2003: 560-565 - [c16]Francesco Tortorella:
A ROC-Based Reject Rule for Support Vector Machines. MLDM 2003: 106-120 - 2001
- [j6]Carlo Sansone
A Classification Reliability Driven Reject Rule for Multi-Expert Systems. Int. J. Pattern Recognit. Artif. Intell. 15(6): 885-904 (2001) - [c15]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Prototyping Structural Shape Descriptions by Inductive Learning. IWVF 2001: 484-493 - [c14]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System. Multiple Classifier Systems 2001: 208-217 - 2000
- [c13]Luigi P. Cordella, Francesco Tortorella, Mario Vento:
Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms. ICPR 2000: 4324-4327 - [c12]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
A Cascaded Multiple Expert System for Verification. Multiple Classifier Systems 2000: 330-339 - [c11]Francesco Tortorella:
An Optimal Reject Rule for Binary Classifiers. SSPR/SPR 2000: 611-620
1990 – 1999
- 1999
- [j5]Pasquale Foggia
Combining statistical and structural approaches for handwritten character description. Image Vis. Comput. 17(9): 701-711 (1999) - [j4]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Definition and Validation of a Distance Measure Between Structural Primitives. Pattern Anal. Appl. 2(3): 215-227 (1999) - [j3]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Multiclassification: reject criteria for the Bayesian combiner. Pattern Recognit. 32(8): 1435-1447 (1999) - [c10]S. de Vito, Mario Vento, Francesco Tortorella
Automatic Classification of Clustered Microcalcifications by a Multiple Expert System. ICIAP 1999: 464-469 - 1998
- [c9]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone
Graph matching: a fast algorithm and its evaluation. ICPR 1998: 1582-1584 - [c8]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone
Optimizing the Error/Reject Trade-Off for a Multi-Expert System Using the Bayesian Combining Rule. SSPR/SPR 1998: 716-725 - 1997
- [c7]Pasquale Foggia, Carlo Sansone
Character Recognition by Geometrical Moments on Structural Decompositions. ICDAR 1997: 6-10 - [c6]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone
Classification Reliability and Its Use in Multi-classifier Systems. ICIAP (1) 1997: 46-53 - 1996
- [c5]Claudio De Stefano
A distance measure for structural descriptions using circular arcs as primitives. ICPR 1996: 290-294 - 1995
- [j2]Claudio De Stefano
An entropy based method for extracting robust binary-templates. Mach. Vis. Appl. 8(3): 173-178 (1995) - [j1]Luigi P. Cordella, Claudio De Stefano
A method for improving classification reliability of multilayer perceptrons. IEEE Trans. Neural Networks 6(5): 1140-1147 (1995) - 1994
- [c4]Antonio d'Acierno, Claudio De Stefano
Can a sequential thinning algorithm be parallelized? ICPR (3) 1994: 360-362 - 1993
- [c3]Claudio De Stefano, Francesco Tortorella, Mario Vento:
Using entropy for drawing reliable templates. ICDAR 1993: 345-348 - 1992
- [c2]Luigi P. Cordella, Claudio De Stefano
Improving character recognition rate by a multi-net neural classifier. ICPR (2) 1992: 615-618 - [c1]Claudio De Stefano
A method for the recognition of symbols on geographic maps. ICPR (1) 1992: 734-737
Coauthor Index
[j32] [j29] [c75] [j28] [j27] [j26] [c74] [c71] [j25] [j24] [c68] [c67] [j22] [c66] [c65] [c64] [c62] [c61] [c60] [c59] [c58] [j21] [j20] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c49] [j18] [c48] [c47] [c46] [j15] [c45] [c44] [c43] [c40] [j13] [c38] [c36] [c34] [j12] [c33] [c32] [c29] [c27] [c26] [c25] [j10] [c24] [c23] [c22] [c21] [c20] [c19] [c18]
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last updated on 2024-12-13 19:07 CET by the dblp team
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