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2020 – today
- 2024
[j163]Loris Nanni
, Sheryl Brahnam, Andrea Loreggia:
An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images. IEEE Access 12: 74218-74229 (2024)- [j162]Loris Nanni, Sheryl Brahnam:
Vector to matrix representation for CNN networks for classifying astronomical data. Astron. Comput. 49: 100864 (2024) - [c27]Sergio A. Da Silva Junior, Leandro E. F. Berton, Mateus F. T. Carvalho, Carla Cristina O. Bernardo, Juliana Vanessa C. M. Perles, Jacqueline Nelisis Zanoni, Loris Nanni, André L. R. G. Sevilha, Gustavo Zanoni Felipe, Franklin César Flores, Yandre M. G. Costa:
Nuclei Segmentation in Hepatocytes Using YOLO and SAM. IWSSIP 2024: 1-6 - 2023
- [j161]Riccardo Bravin, Loris Nanni, Andrea Loreggia, Sheryl Brahnam, Michelangelo Paci:
Varied Image Data Augmentation Methods for Building Ensemble. IEEE Access 11: 8810-8823 (2023) - [j160]Loris Nanni, Andrea Loreggia, Leonardo Barcellona, Stefano Ghidoni:
Building Ensemble of Deep Networks: Convolutional Networks and Transformers. IEEE Access 11: 124962-124974 (2023) - [j159]Loris Nanni, Daniel Fusaro, Carlo Fantozzi, Alberto Pretto:
Improving Existing Segmentators Performance with Zero-Shot Segmentators. Entropy 25(11): 1502 (2023) - [j158]Mattia D'Angelo, Loris Nanni:
Deep-Learning-Based Human Chromosome Classification: Data Augmentation and Ensemble. Inf. 14(7): 389 (2023) - [j157]Loris Nanni, Alessandra Lumini, Carlo Fantozzi:
Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation. Inf. 14(12): 657 (2023) - [j156]Loris Nanni, Andrea Loreggia, Alessandra Lumini, Alberto Dorizza:
A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies. J. Imaging 9(2): 35 (2023) - [j155]Gustavo Zanoni Felipe, Lucas O. Teixeira, Rodolfo Miranda Pereira, Jacqueline Nelisis Zanoni, Sara R. G. Souza, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa:
Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features. Neural Process. Lett. 55(5): 5811-5832 (2023) - [j154]Loris Nanni, Carlo Fantozzi, Andrea Loreggia, Alessandra Lumini:
Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation. Sensors 23(10): 4688 (2023) - [c26]Matheus H. C. Sudul, Rafael de Lima Aguiar, Yandre M. G. Costa, Sheryl Brahnam, Shannon McMurtrey, Loris Nanni, Carlos N. Silla:
Automatic Classification of Infant's Cry Using Data Balancing and Hierarchical Classification Techniques. IWSSIP 2023: 1-5 - 2022
- [j153]Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam:
High performing ensemble of convolutional neural networks for insect pest image detection. Ecol. Informatics 67: 101515 (2022) - [j152]Zahra Pourkaramdel, Shervan Fekri Ershad, Loris Nanni:
Fabric defect detection based on completed local quartet patterns and majority decision algorithm. Expert Syst. Appl. 198: 116827 (2022) - [j151]Martino Trapanotto, Loris Nanni, Sheryl Brahnam, Xiang Guo:
Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations. J. Imaging 8(4): 96 (2022) - [j150]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Feature transforms for image data augmentation. Neural Comput. Appl. 34(24): 22345-22356 (2022) - [j149]Loris Nanni, Sheryl Brahnam, Michelangelo Paci, Stefano Ghidoni:
Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets. Sensors 22(16): 6129 (2022) - [c25]Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni:
Deep Semantic Segmentation in Skin Detection. ESANN 2022 - [p6]Alessandra Lumini, Loris Nanni, Sheryl Brahnam:
Pushing the Limits Against the No Free Lunch Theorem: Towards Building General-Purpose (GenP) Classification Systems. Advances in Selected Artificial Intelligence Areas 2022: 77-102 - [i26]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Feature transforms for image data augmentation. CoRR abs/2201.09700 (2022) - 2021
- [j148]Gianluca Maguolo, Loris Nanni, Stefano Ghidoni:
Ensemble of convolutional neural networks trained with different activation functions. Expert Syst. Appl. 166: 114048 (2021) - [j147]Gianluca Maguolo, Loris Nanni:
A critic evaluation of methods for COVID-19 automatic detection from X-ray images. Inf. Fusion 76: 1-7 (2021) - [j146]Diego Baldissera, Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Postprocessing for Skin Detection. J. Imaging 7(6): 95 (2021) - [j145]Loris Nanni, Stefano Ghidoni, Sheryl Brahnam:
Deep Features for Training Support Vector Machines. J. Imaging 7(9): 177 (2021) - [j144]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Alessandra Lumini:
Comparison of Different Image Data Augmentation Approaches. J. Imaging 7(12): 254 (2021) - [j143]Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Gianluca Maguolo, Alessandra Lumini:
Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks. Sensors 21(5): 1573 (2021) - [j142]Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Davide Sarraggiotto, Alessandra Lumini:
Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks. Sensors 21(17): 5809 (2021) - [j141]Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa:
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. Sensors 21(21): 7116 (2021) - [i25]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Neural networks for Anatomical Therapeutic Chemical (ATC). CoRR abs/2101.11713 (2021) - [i24]Loris Nanni, Gianluca Maguolo, Alessandra Lumini:
Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks. CoRR abs/2103.14689 (2021) - [i23]Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci:
Comparison of different convolutional neural network activation functions and methods for building ensembles. CoRR abs/2103.15898 (2021) - [i22]Alessandra Lumini, Loris Nanni, Gianluca Maguolo:
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation. CoRR abs/2104.00850 (2021) - [i21]Loris Nanni, Stefano Ghidoni, Sheryl Brahnam:
Deep Features for training Support Vector Machine. CoRR abs/2104.03488 (2021) - [i20]Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam:
High performing ensemble of convolutional neural networks for insect pest image detection. CoRR abs/2108.12539 (2021) - [i19]Loris Nanni, Alessandra Lumini, Alessandro Manfe, Sheryl Brahnam, Giorgio Venturin:
Gated recurrent units and temporal convolutional network for multilabel classification. CoRR abs/2110.04414 (2021) - [i18]Loris Nanni, Daniela Cuza, Alessandra Lumini, Andrea Loreggia, Sheryl Brahnam:
Deep ensembles in bioimage segmentation. CoRR abs/2112.12955 (2021) - 2020
- [j140]Loris Nanni, Gianluca Maguolo, Michelangelo Paci:
Data augmentation approaches for improving animal audio classification. Ecol. Informatics 57: 101084 (2020) - [j139]Loris Nanni, Gianluca Maguolo, Fabio Pancino:
Insect pest image detection and recognition based on bio-inspired methods. Ecol. Informatics 57: 101089 (2020) - [j138]Loris Nanni, Yandre M. G. Costa, Rafael de Lima Aguiar, Rafael B. Mangolin, Sheryl Brahnam, Carlos N. Silla:
Ensemble of convolutional neural networks to improve animal audio classification. EURASIP J. Audio Speech Music. Process. 2020(1): 8 (2020) - [j137]Loris Nanni, Alessandra Lumini, Federica Pasquali, Sheryl Brahnam:
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations. Expert Syst. Appl. 142 (2020) - [j136]Alessandra Lumini, Loris Nanni:
Fair comparison of skin detection approaches on publicly available datasets. Expert Syst. Appl. 160: 113677 (2020) - [j135]Loris Nanni, Sheryl Brahnam, Gianluca Maguolo:
Anatomical Therapeutic Chemical Classification (ATC) With Multi-Label Learners and Deep Features. Int. J. Nat. Comput. Res. 9(3): 16-29 (2020) - [j134]Loris Nanni, Eugenio De Luca, Marco Ludovico Facin, Gianluca Maguolo:
Deep Learning and Handcrafted Features for Virus Image Classification. J. Imaging 6(12): 143 (2020) - [j133]Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo:
Stochastic Selection of Activation Layers for Convolutional Neural Networks. Sensors 20(6): 1626 (2020) - [j132]Lorenzo Mantovan, Loris Nanni:
The Computerization of Archaeology: Survey on Artificial Intelligence Techniques. SN Comput. Sci. 1(5): 267 (2020) - [i17]Gianluca Maguolo, Loris Nanni:
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images. CoRR abs/2004.12823 (2020) - [i16]Lorenzo Mantovan, Loris Nanni:
The computerization of archaeology: survey on AI techniques. CoRR abs/2005.02863 (2020) - [i15]Luca Patarnello, Marco Celin, Loris Nanni:
Phasic dopamine release identification using ensemble of AlexNet. CoRR abs/2006.02536 (2020) - [i14]Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci:
An Ensemble of Convolutional Neural Networks for Audio Classification. CoRR abs/2007.07966 (2020) - [i13]Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, Yandre M. G. Costa:
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images. CoRR abs/2009.09780 (2020) - [i12]Loris Nanni, Eugenio De Luca, Marco Ludovico Facin:
Deep learning and hand-crafted features for virus image classification. CoRR abs/2011.06123 (2020) - [i11]Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo:
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare. CoRR abs/2011.11834 (2020)
2010 – 2019
- 2019
- [j131]Loris Nanni, Sheryl Brahnam, Christian Salvatore, Isabella Castiglioni, Alzheimer's Disease Neuroimaging Initiative:
Texture descriptors and voxels for the early diagnosis of Alzheimer's disease. Artif. Intell. Medicine 97: 19-26 (2019) - [j130]Loris Nanni, Sheryl Brahnam:
Set of approaches based on 3D structure and position specific-scoring matrix for predicting DNA-binding proteins. Bioinform. 35(11): 1844-1851 (2019) - [j129]Alessandra Lumini, Loris Nanni:
Deep learning and transfer learning features for plankton classification. Ecol. Informatics 51: 33-43 (2019) - [j128]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Texture descriptors for representing feature vectors. Expert Syst. Appl. 122: 163-172 (2019) - [j127]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Face Detection Ensemble with Methods Using Depth Information to Filter False Positives. Sensors 19(23): 5242 (2019) - [j126]Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Alessandra Lumini:
Bioimage Classification with Handcrafted and Learned Features. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 874-885 (2019) - [c24]Gustavo Zanoni Felipe, Rafael de Lima Aguiar, Yandre M. G. Costa, Carlos N. Silla, Sheryl Brahnam, Loris Nanni, Shannon McMurtrey:
Identification of Infants' Cry Motivation Using Spectrograms. IWSSIP 2019: 181-186 - [p5]Alessandra Lumini, Loris Nanni:
Ocean Ecosystems Plankton Classification. Recent Advances in Computer Vision 2019: 261-280 - [i10]Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Gianluca Maguolo:
General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation. CoRR abs/1904.08084 (2019) - [i9]Gianluca Maguolo, Loris Nanni, Stefano Ghidoni:
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions. CoRR abs/1905.02473 (2019) - [i8]Loris Nanni, Alessandra Lumini, Federica Pasquali, Sheryl Brahnam:
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations. CoRR abs/1906.04407 (2019) - [i7]Alessandra Lumini, Loris Nanni, Alice Codogno, Filippo Berno:
Learning morphological operators for skin detection. CoRR abs/1908.03630 (2019) - [i6]Alessandra Lumini, Loris Nanni, Gianluca Maguolo:
Deep learning for Plankton and Coral Classification. CoRR abs/1908.05489 (2019) - [i5]Loris Nanni, Gianluca Maguolo, Fabio Pancino:
Research on insect pest image detection and recognition based on bio-inspired methods. CoRR abs/1910.00296 (2019) - [i4]Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan:
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation. CoRR abs/1912.05472 (2019) - [i3]Loris Nanni, Gianluca Maguolo, Michelangelo Paci:
Data augmentation approaches for improving animal audio classification. CoRR abs/1912.07756 (2019) - 2018
- [j125]Loris Nanni, Rafael de Lima Aguiar, Yandre M. G. Costa, Sheryl Brahnam, Carlos Nascimento Silla Jr., Ricky L. Brattin, Zhao Zhao:
Bird and whale species identification using sound images. IET Comput. Vis. 12(2): 178-184 (2018) - [i2]Alessandra Lumini, Loris Nanni:
Fair comparison of skin detection approaches on publicly available datasets. CoRR abs/1802.02531 (2018) - [i1]Loris Nanni, Alessandra Lumini, Stefano Ghidoni:
Ensemble of Deep Learned Features for Melanoma Classification. CoRR abs/1807.08008 (2018) - 2017
- [j124]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Ensemble of texture descriptors for face recognition obtained by varying feature transforms and preprocessing approaches. Appl. Soft Comput. 61: 8-16 (2017) - [j123]Loris Nanni, Sheryl Brahnam:
Multi-label classifier based on histogram of gradients for predicting the anatomical therapeutic chemical class/classes of a given compound. Bioinform. 33(18): 2837-2841 (2017) - [j122]Loris Nanni, Michelangelo Paci, Sheryl Brahnam, Stefano Ghidoni:
An ensemble of visual features for Gaussians of local descriptors and non-binary coding for texture descriptors. Expert Syst. Appl. 82: 27-39 (2017) - [j121]Alessandra Lumini, Loris Nanni:
Overview of the combination of biometric matchers. Inf. Fusion 33: 71-85 (2017) - [j120]Loris Nanni, Stefano Ghidoni, Sheryl Brahnam:
Handcrafted vs. non-handcrafted features for computer vision classification. Pattern Recognit. 71: 158-172 (2017) - [j119]Loris Nanni, Stefano Ghidoni:
How could a subcellular image, or a painting by Van Gogh, be similar to a great white shark or to a pizza? Pattern Recognit. Lett. 85: 1-7 (2017) - [j118]Loris Nanni, Yandre M. G. Costa, Diego Rafael Lucio, Carlos Nascimento Silla Jr., Sheryl Brahnam:
Combining visual and acoustic features for audio classification tasks. Pattern Recognit. Lett. 88: 49-56 (2017) - 2016
- [j117]Alessandra Lumini, Loris Nanni, Sheryl Brahnam:
Multilayer descriptors for medical image classification. Comput. Biol. Medicine 72: 239-247 (2016) - [j116]Loris Nanni, Yandre M. G. Costa, Alessandra Lumini, Moo Young Kim, SeungRyul Baek:
Combining visual and acoustic features for music genre classification. Expert Syst. Appl. 45: 108-117 (2016) - [j115]Loris Nanni, Massimo Melucci:
Combination of projectors, standard texture descriptors and bag of features for classifying images. Neurocomputing 173: 1602-1614 (2016) - [j114]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Weighted Reward-Punishment Editing. Pattern Recognit. Lett. 75: 48-54 (2016) - [j113]Loris Nanni, Alessandra Lumini, Florentino Luciano Caetano dos Santos, Michelangelo Paci, Jari A. K. Hyttinen:
Ensembles of dense and dense sampling descriptors for the HEp-2 cells classification problem. Pattern Recognit. Lett. 82: 28-35 (2016) - [j112]Loris Nanni, Christian Salvatore, Antonio Cerasa, Isabella Castiglioni:
Combining multiple approaches for the early diagnosis of Alzheimer's Disease. Pattern Recognit. Lett. 84: 259-266 (2016) - [c23]Loris Nanni, Yandre M. G. Costa, Diego Rafael Lucio, Carlos Nascimento Silla Jr., Sheryl Brahnam:
Combining Visual and Acoustic Features for Bird Species Classification. ICTAI 2016: 396-401 - [c22]Rafael de Lima Aguiar, Yandre Maldonado e Gomes da Costa, Loris Nanni:
Music genre recognition using spectrograms with harmonic-percussive sound separation. SCCC 2016: 1-7 - 2015
- [j111]Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Alessandra Lumini:
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification. Comput. Intell. Neurosci. 2015: 909123:1-909123:10 (2015) - [j110]Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Emanuele Menegatti:
Improving the descriptors extracted from the co-occurrence matrix using preprocessing approaches. Expert Syst. Appl. 42(22): 8989-9000 (2015) - [j109]Loris Nanni, Alessandra Lumini, Matteo Ferrara, Raffaele Cappelli:
Combining biometric matchers by means of machine learning and statistical approaches. Neurocomputing 149: 526-535 (2015) - [j108]Loris Nanni, Carlo Fantozzi, Nicola Lazzarini:
Coupling different methods for overcoming the class imbalance problem. Neurocomputing 158: 48-61 (2015) - [j107]Nicola Lazzarini, Loris Nanni, Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci, Teresa Maria Seccia, Gian Paolo Rossi:
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism. Pattern Recognit. Lett. 65: 124-130 (2015) - [c21]Sheryl Brahnam, Jenifer J. Roberts, Loris Nanni, Cathy L. Starr, Sandra L. Bailey:
Design of a Bullying Detection/Alert System for School-Wide Intervention. HCI (2) 2015: 695-705 - 2014
- [j106]Loris Nanni, Michelangelo Paci, Sheryl Brahnam:
Indirect immunofluorescence image classification using texture descriptors. Expert Syst. Appl. 41(5): 2463-2471 (2014) - [j105]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Ensemble of shape descriptors for shape retrieval and classification. Int. J. Adv. Intell. Paradigms 6(2): 136-156 (2014) - [c20]Stefano Ghidoni, Mauro Antonello, Loris Nanni, Emanuele Menegatti:
A Knowledge-Based Approach to Crack Detection in Thermographic Images. IAS 2014: 1701-1713 - [c19]Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Jari A. K. Hyttinen:
Morphological and Texture Features for HEp-2 Cells Classification. I3A@ICPR 2014: 45-48 - [c18]Stefano Ghidoni, Loris Nanni, Sheryl Brahnam, Emanuele Menegatti:
Texture Descriptors Based on Dijkstra's Algorithm for Medical Image Analysis. InMed 2014: 74-82 - [c17]Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Sheryl Brahnam, Jari A. K. Hyttinen:
Analysis of Virus Textures in Transmission Electron Microscopy Images. InMed 2014: 83-91 - [e2]Sheryl Brahnam, Lakhmi C. Jain, Loris Nanni, Alessandra Lumini:
Local Binary Patterns: New Variants and Applications. Studies in Computational Intelligence 506, Springer 2014, ISBN 978-3-642-39288-7 [contents] - 2013
- [j104]Loris Nanni, Alessandra Lumini:
Heterogeneous bag-of-features for object/scene recognition. Appl. Soft Comput. 13(4): 2171-2178 (2013) - [j103]Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Emanuele Menegatti, Tonya Barrier:
A comparison of methods for extracting information from the co-occurrence matrix for subcellular classification. Expert Syst. Appl. 40(18): 7457-7467 (2013) - [p4]Sheryl Brahnam, Lakhmi C. Jain, Alessandra Lumini, Loris Nanni:
Introduction to Local Binary Patterns: New Variants and Applications. Local Binary Patterns 2013: 1-13 - [p3]Loris Nanni, Michelangelo Paci, Stefano Severi:
Heterogeneous Ensemble of Classifiers for Sub-Cellular Image Classification Based on Local Ternary Patterns. Local Binary Patterns 2013: 131-148 - [p2]Loris Nanni, Sheryl Brahnam, Alessandra Lumini, Tonya Barrier:
Ensemble of Local Phase Quantization Variants with Ternary Encoding. Local Binary Patterns 2013: 177-188 - [e1]Mohd Saberi Mohamad, Loris Nanni, Miguel P. Rocha, Florentino Fdez-Riverola:
7th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2013, 22-14 May, 2013, Salamanca, Spain. Advances in Intelligent Systems and Computing 222, Springer 2013, ISBN 978-3-319-00577-5 [contents] - 2012
- [j102]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
A classifier ensemble approach for the missing feature problem. Artif. Intell. Medicine 55(1): 37-50 (2012) - [j101]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Combining multiple approaches for gene microarray classification. Bioinform. 28(8): 1151-1157 (2012) - [j100]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Random interest regions for object recognition based on texture descriptors and bag of features. Expert Syst. Appl. 39(1): 973-977 (2012) - [j99]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
A very high performing system to discriminate tissues in mammograms as benign and malignant. Expert Syst. Appl. 39(2): 1968-1971 (2012) - [j98]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Matrix representation in pattern classification. Expert Syst. Appl. 39(3): 3031-3036 (2012) - [j97]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Survey on LBP based texture descriptors for image classification. Expert Syst. Appl. 39(3): 3634-3641 (2012) - [j96]Loris Nanni, Alessandra Lumini:
Combining Face and Eye Detectors in a High- Performance Face-Detection System. IEEE Multim. 19(4): 20-27 (2012) - [j95]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
A user dependent multi-resolution approach for biometric data. Int. J. Inf. Technol. Manag. 11(1/2): 112-121 (2012) - [j94]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
A simple method for improving local binary patterns by considering non-uniform patterns. Pattern Recognit. 45(10): 3844-3852 (2012) - [j93]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Local phase quantization descriptor for improving shape retrieval/classification. Pattern Recognit. Lett. 33(16): 2254-2260 (2012) - [j92]Loris Nanni, Alessandra Lumini, Dinesh Gupta, Aarti Garg:
Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 467-475 (2012) - 2011
- [j91]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Likelihood ratio based features for a trained biometric score fusion. Expert Syst. Appl. 38(1): 58-63 (2011) - [j90]Loris Nanni, Alessandra Lumini:
Wavelet selection for disease classification by DNA microarray data. Expert Syst. Appl. 38(1): 990-995 (2011) - [j89]Loris Nanni, Annalisa Franco:
Reduced Reward-punishment editing for building ensembles of classifiers. Expert Syst. Appl. 38(3): 2395-2400 (2011) - [j88]Loris Nanni, Alessandra Lumini:
A new encoding technique for peptide classification. Expert Syst. Appl. 38(4): 3185-3191 (2011) - [j87]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Local Ternary Patterns from Three Orthogonal Planes for human action classification. Expert Syst. Appl. 38(5): 5125-5128 (2011) - [j86]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Combining different local binary pattern variants to boost performance. Expert Syst. Appl. 38(5): 6209-6216 (2011) - [j85]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Texture descriptors for generic pattern classification problems. Expert Syst. Appl. 38(8): 9340-9345 (2011) - [j84]Loris Nanni, Alessandra Lumini:
Prototype reduction techniques: A comparison among different approaches. Expert Syst. Appl. 38(9): 11820-11828 (2011) - 2010
- [j83]Loris Nanni, Alessandra Lumini:
Coding of amino acids by texture descriptors. Artif. Intell. Medicine 48(1): 43-50 (2010) - [j82]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Local binary patterns variants as texture descriptors for medical image analysis. Artif. Intell. Medicine 49(2): 117-125 (2010) - [j81]Loris Nanni, Alessandra Lumini, Yu-Shi Lin, Chun-Nan Hsu, Chung-Chih Lin:
Fusion of systems for automated cell phenotype image classification. Expert Syst. Appl. 37(2): 1556-1562 (2010) - [j80]Loris Nanni, Emanuele Maiorana, Alessandra Lumini, Patrizio Campisi:
Combining local, regional and global matchers for a template protected on-line signature verification system. Expert Syst. Appl. 37(5): 3676-3684 (2010) - [j79]Sheryl Brahnam, Loris Nanni:
Predicting trait impressions of faces using local face recognition techniques. Expert Syst. Appl. 37(7): 5086-5093 (2010) - [j78]Loris Nanni, Alessandra Lumini:
Orthogonal linear discriminant analysis and feature selection for micro-array data classification. Expert Syst. Appl. 37(10): 7132-7137 (2010) - [j77]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
A local approach based on a Local Binary Patterns variant texture descriptor for classifying pain states. Expert Syst. Appl. 37(12): 7888-7894 (2010) - [j76]Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Advanced machine learning techniques for microarray spot quality classification. Neural Comput. Appl. 19(3): 471-475 (2010) - [j75]Annalisa Franco, Davide Maltoni, Loris Nanni:
Data pre-processing through reward-punishment editing. Pattern Anal. Appl. 13(4): 367-381 (2010) - [c16]Sheryl Brahnam, Loris Nanni, Jian-Yu Shi, Alessandra Lumini:
Local Phase Quantization Texture Descriptor for Protein Classification. BIOCOMP 2010: 159-165 - [c15]Loris Nanni, Sheryl Brahnam, Alessandra Lumini:
Selecting the Best Performing Rotation Invariant Patterns in Local Binary/Ternary Patterns. IPCV 2010: 369-375
2000 – 2009
- 2009
- [j74]Loris Nanni, Alessandra Lumini:
Genetic nearest feature plane. Expert Syst. Appl. 36(1): 838-843 (2009) - [j73]Loris Nanni, Alessandra Lumini:
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring. Expert Syst. Appl. 36(2): 3028-3033 (2009) - [j72]Loris Nanni, Alessandra Lumini:
Ensemble generation and feature selection for the identification of students with learning disabilities. Expert Syst. Appl. 36(2): 3896-3900 (2009) - [j71]Loris Nanni, Alessandra Lumini:
Ensemble of multiple Palmprint representation. Expert Syst. Appl. 36(3): 4485-4490 (2009) - [j70]Alessandra Lumini, Loris Nanni:
Ensemble of on-line signature matchers based on OverComplete feature generation. Expert Syst. Appl. 36(3): 5291-5296 (2009) - [j69]Loris Nanni, Alessandra Lumini:
An ensemble of support vector machines for predicting virulent proteins. Expert Syst. Appl. 36(4): 7458-7462 (2009) - [j68]Loris Nanni, Alessandra Lumini:
A genetic encoding approach for learning methods for combining classifiers. Expert Syst. Appl. 36(4): 7510-7514 (2009) - [j67]Annalisa Franco, Loris Nanni:
Fusion of classifiers for illumination robust face recognition. Expert Syst. Appl. 36(5): 8946-8954 (2009) - [j66]Loris Nanni, Alessandra Lumini:
A supervised method to discriminate between impostors and genuine in biometry. Expert Syst. Appl. 36(7): 10401-10407 (2009) - [j65]Loris Nanni, Alessandra Lumini:
Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification. Expert Syst. Appl. 36(8): 11257-11261 (2009) - [j64]Loris Nanni, Alessandra Lumini:
Descriptors for image-based fingerprint matchers. Expert Syst. Appl. 36(10): 12414-12422 (2009) - [j63]Loris Nanni, Alessandra Lumini:
On selecting Gabor features for biometric authentication. Int. J. Comput. Appl. Technol. 35(1): 23-28 (2009) - [j62]Loris Nanni, Alessandra Lumini:
Particle swarm optimization for prototype reduction. Neurocomputing 72(4-6): 1092-1097 (2009) - [j61]Loris Nanni, Alessandra Lumini:
A multi-matcher system based on knuckle-based features. Neural Comput. Appl. 18(1): 87-91 (2009) - [j60]Loris Nanni, Alessandra Lumini:
Particle swarm optimization for ensembling generation for evidential k-nearest-neighbour classifier. Neural Comput. Appl. 18(2): 105-108 (2009) - [j59]Loris Nanni, Alessandra Lumini:
Machine learning multi-classifiers for peptide classification. Neural Comput. Appl. 18(2): 185-192 (2009) - [j58]Loris Nanni, Alessandra Lumini:
Fusion of color spaces for ear authentication. Pattern Recognit. 42(9): 1906-1913 (2009) - [c14]Robert F. Murphy, Chun-Nan Hsu, Loris Nanni:
Workshop summary: Automated interpretation and modelling of cell images. ICML 2009: 4 - [c13]Loris Nanni, Sheryl Brahnam:
A Genetic Algorithm for Creating a Set of Color Spaces for Ear Authentication. IPCV 2009: 971-975 - [c12]Sheryl Brahnam, Loris Nanni:
High Performance Set of Features for Human Action Classification. IPCV 2009: 980-984 - 2008
- [j57]Loris Nanni, Alessandra Lumini:
A reliable method for cell phenotype image classification. Artif. Intell. Medicine 43(2): 87-97 (2008) - [j56]Loris Nanni, Alessandra Lumini:
A genetic approach for building different alphabets for peptide and protein classification. BMC Bioinform. 9 (2008) - [j55]Loris Nanni, Alessandra Lumini:
Generalized Needleman-Wunsch algorithm for the recognition of T-cell epitopes. Expert Syst. Appl. 35(3): 1463-1467 (2008) - [j54]Alessandra Lumini, Loris Nanni:
Over-complete feature generation and feature selection for biometry. Expert Syst. Appl. 35(4): 2049-2055 (2008) - [j53]Loris Nanni, Alessandra Lumini:
Cluster-Based Nearest-Neighbour Classifier and Its Application on the Lightning Classification. J. Comput. Sci. Technol. 23(4): 573-581 (2008) - [j52]Loris Nanni, Alessandra Lumini:
Local binary patterns for a hybrid fingerprint matcher. Pattern Recognit. 41(11): 3461-3466 (2008) - [j51]Alessandra Lumini, Loris Nanni:
Advanced methods for two-class pattern recognition problem formulation for minutiae-based fingerprint verification. Pattern Recognit. Lett. 29(2): 142-148 (2008) - [j50]Loris Nanni, Alessandra Lumini:
Random subspace for an improved BioHashing for face authentication. Pattern Recognit. Lett. 29(3): 295-300 (2008) - [j49]Loris Nanni, Alessandra Lumini:
Wavelet decomposition tree selection for palm and face authentication. Pattern Recognit. Lett. 29(3): 343-353 (2008) - [j48]Loris Nanni, Alessandra Lumini:
A novel local on-line signature verification system. Pattern Recognit. Lett. 29(5): 559-568 (2008) - [j47]Loris Nanni, Alessandra Lumini:
A multi-modal method based on the competitors of FVC2004 and on palm data combined with tokenised random numbers. Pattern Recognit. Lett. 29(9): 1344-1350 (2008) - [j46]Loris Nanni, Alessandra Lumini:
Ensemble of Multiple Pedestrian Representations. IEEE Trans. Intell. Transp. Syst. 9(2): 365-369 (2008) - [j45]Loris Nanni, Alessandra Lumini:
Evolved Feature Weighting for Random Subspace Classifier. IEEE Trans. Neural Networks 19(2): 363-366 (2008) - [c11]Sheryl Brahnam, Loris Nanni, Randall S. Sexton:
Neonatal Facial Pain Detection Using NNSOA and LSVM. IPCV 2008: 352-357 - 2007
- [j44]Alessandra Lumini, Loris Nanni:
When Fingerprints Are Combined with Iris - A Case Study: FVC2004 and CASIA. Int. J. Netw. Secur. 4(1): 27-34 (2007) - [j43]Alessandra Lumini, Loris Nanni:
An improved BioHashing for human authentication. Pattern Recognit. 40(3): 1057-1065 (2007) - [j42]Loris Nanni, Alessandra Lumini:
A hybrid wavelet-based fingerprint matcher. Pattern Recognit. 40(11): 3146-3151 (2007) - [j41]Loris Nanni, Dario Maio:
Weighted Sub-Gabor for face recognition. Pattern Recognit. Lett. 28(4): 487-492 (2007) - [j40]Loris Nanni, Alessandra Lumini:
Ensemblator: An ensemble of classifiers for reliable classification of biological data. Pattern Recognit. Lett. 28(5): 622-630 (2007) - [j39]Loris Nanni, Alessandra Lumini:
A multi-expert approach for wavelet-based face detection. Pattern Recognit. Lett. 28(12): 1541-1547 (2007) - [j38]Loris Nanni, Alessandra Lumini:
RegionBoost learning for 2D+3D based face recognition. Pattern Recognit. Lett. 28(15): 2063-2070 (2007) - [j37]Loris Nanni, Alessandra Lumini:
A multi-matcher for ear authentication. Pattern Recognit. Lett. 28(16): 2219-2226 (2007) - [p1]Sheryl Brahnam, Loris Nanni, Randall S. Sexton:
Introduction to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques. Advanced Computational Intelligence Paradigms in Healthcare (1) 2007: 225-253 - 2006
- [b1]Loris Nanni:
Sistemi multiclassificatori con applicazione al riconoscimento del volto. University of Bologna, Italy, 2006 - [j36]Loris Nanni, Alessandra Lumini:
An ensemble of K-local hyperplanes for predicting protein-protein interactions. Bioinform. 22(10): 1207-1210 (2006) - [j35]Loris Nanni, Alessandra Lumini:
A reliable method for HIV-1 protease cleavage site prediction. Neurocomputing 69(7-9): 838-841 (2006) - [j34]Loris Nanni:
An ensemble of classifiers for the diagnosis of erythemato-squamous diseases. Neurocomputing 69(7-9): 842-845 (2006) - [j33]Loris Nanni, Alessandra Lumini:
A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem. Neurocomputing 69(7-9): 846-849 (2006) - [j32]Loris Nanni:
Ensemble of classifiers for protein fold recognition. Neurocomputing 69(7-9): 850-853 (2006) - [j31]Loris Nanni, Alessandra Lumini:
Advanced methods for two-class problem formulation for on-line signature verification. Neurocomputing 69(7-9): 854-857 (2006) - [j30]Loris Nanni, Alessandra Lumini:
Human authentication featuring signatures and tokenised random numbers. Neurocomputing 69(7-9): 858-861 (2006) - [j29]Loris Nanni:
A reliable method for the diagnosis of gastric carcinoma. Neurocomputing 69(7-9): 862-865 (2006) - [j28]Loris Nanni:
Machine learning algorithms for T-cell epitopes prediction. Neurocomputing 69(7-9): 866-868 (2006) - [j27]Loris Nanni:
Experimental comparison of one-class classifiers for online signature verification. Neurocomputing 69(7-9): 869-873 (2006) - [j26]Loris Nanni, Alessandra Lumini:
An experimental comparison of ensemble of classifiers for biometric data. Neurocomputing 69(13-15): 1670-1673 (2006) - [j25]Loris Nanni, Alessandra Lumini:
An approach for improving face recognition in presence of inaccurate detection. Neurocomputing 69(13-15): 1678-1682 (2006) - [j24]Loris Nanni, Alessandra Lumini:
MppS: An ensemble of support vector machine based on multiple physicochemical properties of amino acids. Neurocomputing 69(13-15): 1688-1690 (2006) - [j23]Loris Nanni, Alessandra Lumini:
Random Bands: A novel ensemble for fingerprint matching. Neurocomputing 69(13-15): 1702-1705 (2006) - [j22]Alessandra Lumini, Loris Nanni:
An advanced multi-modal method for human authentication featuring biometrics data and tokenised random numbers. Neurocomputing 69(13-15): 1706-1710 (2006) - [j21]Loris Nanni:
A reliable method for designing an automatic karyotyping system. Neurocomputing 69(13-15): 1739-1742 (2006) - [j20]Loris Nanni, Alessandra Lumini:
A deformation-invariant image-based fingerprint verification system. Neurocomputing 69(16-18): 2336-2339 (2006) - [j19]Loris Nanni, Alessandra Lumini:
Empirical tests on BioHashing. Neurocomputing 69(16-18): 2390-2395 (2006) - [j18]Loris Nanni:
An advanced multi-matcher method for on-line signature verification featuring global features and tokenised random numbers. Neurocomputing 69(16-18): 2402-2406 (2006) - [j17]Loris Nanni:
A novel ensemble of classifiers for protein fold recognition. Neurocomputing 69(16-18): 2434-2437 (2006) - [j16]Loris Nanni, Alessandra Lumini:
FuzzyBagging: A novel ensemble of classifiers. Pattern Recognit. 39(3): 488-490 (2006) - [j15]Alessandra Lumini, Loris Nanni:
A clustering method for automatic biometric template selection. Pattern Recognit. 39(3): 495-497 (2006) - [j14]Loris Nanni:
Comparison among feature extraction methods for HIV-1 protease cleavage site prediction. Pattern Recognit. 39(4): 711-713 (2006) - [j13]Alessandra Lumini, Loris Nanni:
Two-class fingerprint matcher. Pattern Recognit. 39(4): 714-716 (2006) - [j12]Annalisa Franco, Alessandra Lumini, Dario Maio, Loris Nanni:
An enhanced subspace method for face recognition. Pattern Recognit. Lett. 27(1): 76-84 (2006) - [j11]Loris Nanni:
Multi-resolution subspace for financial trading. Pattern Recognit. Lett. 27(2): 109-115 (2006) - [j10]Alessandra Lumini, Loris Nanni:
Detector of image orientation based on Borda Count. Pattern Recognit. Lett. 27(3): 180-186 (2006) - [j9]Loris Nanni:
Cluster-based pattern discrimination: A novel technique for feature selection. Pattern Recognit. Lett. 27(6): 682-687 (2006) - [j8]Alessandra Lumini, Loris Nanni:
Identifying splice-junction sequences by hierarchical multiclassifier. Pattern Recognit. Lett. 27(12): 1390-1396 (2006) - [j7]Alessandra Lumini, Loris Nanni:
Machine learning for HIV-1 protease cleavage site prediction. Pattern Recognit. Lett. 27(13): 1537-1544 (2006) - 2005
- [j6]Dario Maio, Loris Nanni:
An efficient fingerprint verification system using integrated gabor filters and Parzen Window Classifier. Neurocomputing 68: 208-216 (2005) - [j5]Loris Nanni, Alessandra Lumini:
Ensemble of Parzen window classifiers for on-line signature verification. Neurocomputing 68: 217-224 (2005) - [j4]Loris Nanni:
Fusion of classifiers for predicting protein-protein interactions. Neurocomputing 68: 289-296 (2005) - [j3]Loris Nanni:
Fusion of classifiers for protein fold recognition. Neurocomputing 68: 315-321 (2005) - [j2]Dario Maio, Loris Nanni:
Multihashing, human authentication featuring biometrics data and tokenized random number: A case study FVC2004. Neurocomputing 69(1-3): 242-249 (2005) - [j1]Loris Nanni:
Hyperplanes for predicting protein-protein interactions. Neurocomputing 69(1-3): 257-263 (2005) - [c10]Alessandra Lumini, Loris Nanni:
Machine Learning for HIV-1 Protease Cleavage Site Prediction. Artificial Intelligence and Applications 2005: 406-410 - [c9]Alessandra Lumini, Loris Nanni:
Subspace Classifier for Protein Subcellular Localization Prediction. Artificial Intelligence and Applications 2005: 411-415 - [c8]Alessandra Lumini, Loris Nanni:
Identifying Splice-Junction Sequences by Hierarchical Multiclassifier. Artificial Intelligence and Applications 2005: 416-420 - [c7]Julian Fiérrez-Aguilar, Loris Nanni, Jaime Lopez-Peñalba, Javier Ortega-Garcia, Davide Maltoni:
An On-Line Signature Verification System Based on Fusion of Local and Global Information. AVBPA 2005: 523-532 - [c6]Loris Nanni, Alessandra Lumini:
Detector of Image Orientation Based on Borda-Count. IbPRIA (2) 2005: 231-238 - [c5]Loris Nanni, Alessandra Lumini:
Support Vector Machines for HIV-1 Protease Cleavage Site Prediction. IbPRIA (2) 2005: 413-420 - [c4]Julian Fiérrez-Aguilar, Loris Nanni, Javier Ortega-Garcia, Raffaele Cappelli, Davide Maltoni:
Combining Multiple Matchers for Fingerprint Verification: A Case Study in FVC2004. ICIAP 2005: 1035-1042 - 2004
- [c3]Loris Nanni, Annalisa Franco, Raffaele Cappelli:
Towards a Robust Face Detector. ECCV Workshop BioAW 2004: 57-69 - [c2]Annalisa Franco, Davide Maltoni, Loris Nanni:
Reward-Punishment Editing. ICPR (4) 2004: 424-427 - 2003
- [c1]Raffaele Cappelli, Dario Maio, Davide Maltoni, Loris Nanni:
A two-stage fingerprint classification system. WBMA@MM 2003: 95-99
Coauthor Index
[j163] [j162] [j161] [c26] [j153] [j151] [j150] [j149] [p6] [i26] [j146] [j145] [j144] [j143] [j142] [i25] [i23] [i21] [i20] [i19] [i18] [j138] [j137] [j135] [i14] [j131] [j130] [j128] [j127] [j126] [c24] [i10] [i8] [j125] [j124] [j123] [j122] [j120] [j118] [j117] [j114] [c23] [j111] [j110] [c21] [j106] [j105] [c18] [c17] [e2] [j103] [p4] [p2] [j102] [j101] [j100] [j99] [j98] [j97] [j95] [j94] [j93] [j91] [j87] [j86] [j85] [j82] [j79] [j77] [j76] [c16] [c15] [c13] [c12] [c11] [p1]
Yandre M. G. Costa
aka: Yandre Maldonado e Gomes da Costa
aka: Yandre Maldonado e Gomes da Costa
[j157] [j156] [j154] [j153] [j150] [c25] [p6] [i26] [j146] [j144] [j143] [j142] [i25] [i24] [i22] [i20] [i19] [i18] [j137] [j136] [j133] [i11] [j129] [j128] [j127] [j126] [p5] [i8] [i7] [i6] [i2] [i1] [j124] [j121] [j117] [j116] [j114] [j113] [j111] [j109] [j105] [e2] [j104] [p4] [p2] [j102] [j101] [j100] [j99] [j98] [j97] [j96] [j95] [j94] [j93] [j92] [j91] [j90] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j78] [j77] [j76] [c16] [c15] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [j37] [j36] [j35] [j33] [j31] [j30] [j26] [j25] [j24] [j23] [j22] [j20] [j19] [j16] [j15] [j13] [j12] [j10] [j8] [j7] [j5] [c10] [c9] [c8] [c6] [c5]
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