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ORCIDCarlo Sansone
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- affiliation: University of Naples Federico II, Italy
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2020 – today
- 2024
[j63]Michela Gravina, Angel García-Pedrero, Consuelo Gonzalo-Martín
, Carlo Sansone, Paolo Soda:
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data. Artif. Intell. Medicine 149: 102774 (2024)- [j62]Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento:
Fire and smoke detection from videos: A literature review under a novel taxonomy. Expert Syst. Appl. 255: 124783 (2024) - [j61]Roberto Casula, Giulia Orrù, Stefano Marrone, Umberto Gagliardini, Gian Luca Marcialis, Carlo Sansone:
Realistic Fingerprint Presentation Attacks Based on an Adversarial Approach. IEEE Trans. Inf. Forensics Secur. 19: 863-877 (2024) - [c151]Flora Amato, Antonino Ferraro, Antonio Galli, Valerio La Gatta, Francesco Moscato, Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlì:
A Comparative Assessment of eXplainable AI Tools in Predicting Hard Disk Drive Health. SEBD 2024: 574-584 - 2023
- [j60]Lorenzo De Donato, Stefano Marrone, Francesco Flammini, Carlo Sansone, Valeria Vittorini, Roberto Nardone, Claudio Mazzariello, Frédéric Bernaudin:
Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance. Eng. Appl. Artif. Intell. 123(Part C): 106405 (2023) - [j59]Antonio Galli, Michela Gravina, Stefano Marrone, Domenico Mattiello, Carlo Sansone:
Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection. IET Biom. 12(2): 102-111 (2023) - [j58]Narendra Patwardhan, Stefano Marrone, Carlo Sansone:
Transformers in the Real World: A Survey on NLP Applications. Inf. 14(4): 242 (2023) - [j57]Flora Amato, Mattia Fonisto, Marco Giacalone, Carlo Sansone:
An Intelligent Conversational Agent for the Legal Domain. Inf. 14(6): 307 (2023) - [j56]Giulia Orrù, Antonio Galli, Vincenzo Gattulli, Michela Gravina, Marco Micheletto, Stefano Marrone, Wanda Nocerino, Angela Procaccino, Grazia Terrone, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone:
Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project. Inf. 14(8): 430 (2023) - [j55]Antonio Elia Pascarella, Giovanni Luca Giacco, Mattia Rigiroli, Stefano Marrone, Carlo Sansone:
ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation. J. Imaging 9(3): 61 (2023) - [j54]Donato Amitrano, Giovanni Luca Giacco, Stefano Marrone, Antonio Elia Pascarella, Mattia Rigiroli, Carlo Sansone:
Forest Aboveground Biomass Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction. Remote. Sens. 15(21): 5138 (2023) - [j53]Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlí:
TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers. IEEE J. Biomed. Health Informatics 27(5): 2512-2523 (2023) - [c150]Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone:
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U). CHItaly 2023: 36:1-36:3 - [c149]Michela Gravina, Stefano Marrone, Carlo Sansone:
Analyzing the Similarity between Artificial and Training Images in Generative Models: The PicusLabMed Contribution. CLEF (Working Notes) 2023: 1467-1477 - [c148]Antonio Galli, Michela Gravina, Stefano Marrone, Carlo Sansone:
Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets. DeLTA 2023: 370-384 - [c147]Christina Todorova, George Sharkov, Huib Aldewereld, Stefan Leijnen, Alireza Dehghani, Stefano Marrone, Carlo Sansone, Maurice Lynch, John Pugh, Tarry Singh, Kitti Mezei, Péter Antal, Peter Hanák, Alessandro Barducci, Fernando Pérez-Téllez, Francesco Gargiulo:
The European AI Tango: Balancing Regulation Innovation and Competitiveness. HCAIep 2023: 2-8 - [c146]M. Quamer Nasim, Narendra Patwardhan, Javed Ali, Tannistha Maiti, Stefano Marrone, Tarry Singh, Carlo Sansone:
Digitizer: A Synthetic Dataset for Well-Log Analysis. ICIAP Workshops (1) 2023: 97-105 - [c145]Adriano De Simone, Carlo Sansone:
A Multimodal Deep Learning Based Approach for Alzheimer's Disease Diagnosis. ICIAP Workshops (2) 2023: 131-139 - [c144]Salvatore Capuozzo, Carlo Sansone:
A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis. ICIAP Workshops (2) 2023: 140-151 - [c143]Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento:
ONFIRE Contest 2023: Real-Time Fire Detection on the Edge. ICIAP Workshops (1) 2023: 273-281 - [c142]Michela Gravina, Antonio Galli, Geremia De Micco, Stefano Marrone, Giuseppe Fiameni, Carlo Sansone:
FEAD-D: Facial Expression Analysis in Deepfake Detection. ICIAP (2) 2023: 283-294 - [c141]Lorenzo De Donato, Antonino Ferraro, Antonio Galli, Michela Gravina, Stefano Marrone, Vincenzo Moscato, Giancarlo Sperlì, Valeria Vittorini, Carlo Sansone:
Advanced AI-based approaches in Industry 4.0 of the University of Naples Federico II node of the CINI-AIIS Lab. Ital-IA 2023: 1-6 - [c140]Antonio Bosco, Salvatore Capuozzo, Biase Celano, Michela Gravina, Stefano Marrone, Maria Paola Maurelli, Vincenzo Moscato, Giuseppe Pontillo, Marco Postiglione, Antonio Maria Rinaldi, Laura Rinaldi, Cristiano Russo, Giancarlo Sperlì, Cristian Tommasino, Giuseppe Cringoli, Carlo Sansone:
AI in healthcare: Activities of the University of Naples Federico II node of the CINI-AIIS Lab. Ital-IA 2023: 112-117 - [c139]Giulia Orrù, Antonio Galli, Vincenzo Gattulli, Michela Gravina, Stefano Marrone, Marco Micheletto, Angela Procaccino, Wanda Nocerino, Grazia Terrone, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone:
Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project. Ital-IA 2023: 189-194 - [c138]Narendra Patwardhan, Lidia Marassi, Michela Gravina, Antonio Galli, Monica Zuccarini, Tannistha Maiti, Tarry Singh, Stefano Marrone, Carlo Sansone:
Responsible and Reliable AI at PICUS Lab. Ital-IA 2023: 377-381 - [c137]Roberto Casula, Antonio Galli, Michela Gravina, Stefano Marrone, Domenico Mattiello, Marco Micheletto, Giulia Orrù, Gian Luca Marcialis, Carlo Sansone:
Fingerprint Presentation Attacks: Tackling the Ongoing Arms Race in Biometric Authentication. Ital-IA 2023: 415-419 - [c136]Flora Amato, Antonio Galli, Michela Gravina, Lidia Marassi, Stefano Marrone, Carlo Sansone:
AI-Powered Learning: Personalizing Education for each Student. Ital-IA 2023: 478-483 - [c135]Antonio Elia Pascarella, Giovanni Luca Giacco, Mattia Rigiroli, Bruno Vento, Stefano Marrone, Giuliano Langella, Antonio Coppola, Roberto Chirone, Piero Salatino, Carlo Sansone:
AI and Sustainability: Territorial Monitoring and Waste Valorization. Ital-IA 2023: 571-574 - [e9]Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone:
Proceedings of the First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U 2023) co-located with the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2023), Turin, Italy, September 20, 2023. CEUR Workshop Proceedings 3502, CEUR-WS.org 2023 [contents] - [e8]Ana Fred, Carlo Sansone, Kurosh Madani:
Deep Learning Theory and Applications - First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7-9, 2021, Revised Selected Papers. Communications in Computer and Information Science 1854, Springer 2023, ISBN 978-3-031-37319-0 [contents] - [e7]Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani:
Deep Learning Theory and Applications - Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022, Revised Selected Papers. Communications in Computer and Information Science 1858, Springer 2023, ISBN 978-3-031-37316-9 [contents] - [e6]Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone:
Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings. Communications in Computer and Information Science 1875, Springer 2023, ISBN 978-3-031-39058-6 [contents] - 2022
- [j52]Lorenzo De Donato, Francesco Flammini, Stefano Marrone, Claudio Mazzariello, Roberto Nardone, Carlo Sansone, Valeria Vittorini:
A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance. IEEE Access 10: 65376-65400 (2022) - [j51]Giovanni Luca Giacco, Stefano Marrone, Giuliano Langella, Carlo Sansone:
ReFuse: Generating Imperviousness Maps from Multi-Spectral Sentinel-2 Satellite Imagery. Future Internet 14(10): 278 (2022) - [j50]Carlo Sansone, Giancarlo Sperlí:
Legal Information Retrieval systems: State-of-the-art and open issues. Inf. Syst. 106: 101967 (2022) - [j49]Salvatore Capuozzo, Michela Gravina, Gianluca Gatta, Stefano Marrone, Carlo Sansone:
A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification. J. Imaging 8(12): 321 (2022) - [c134]Stefano Marrone, Carlo Sansone:
Identifying Users' Emotional States through Keystroke Dynamics. DeLTA 2022: 207-214 - [c133]Ciro Sannino, Michela Gravina, Stefano Marrone, Giuseppe Fiameni, Carlo Sansone:
LessonAble: Leveraging Deep Fakes in MOOC Content Creation. ICIAP (1) 2022: 27-37 - [c132]Michela Gravina, Stefano Marrone, Ludovico Docimo, Mario Santini, Alfonso Fiorelli, Domenico Parmeggiani, Carlo Sansone:
Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion. ICIAP (1) 2022: 100-110 - [c131]Giovanni Luca Giacco, Giulio Mariniello, Stefano Marrone, Domenico Asprone, Carlo Sansone:
Toward a System for Post-Earthquake Safety Evaluation of Masonry Buildings. ICIAP (2) 2022: 312-323 - [c130]Michela Gravina, Ermanno Cordelli, Domiziana Santucci, Paolo Soda, Carlo Sansone:
Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer. ICPR 2022: 4335-4342 - [c129]Donatello Conte, Giuliano Giovanni Fioretti, Carlo Sansone:
On the Importance of Temporal Features in Domain Adaptation Methods for Action Recognition. S+SSPR 2022: 264-273 - [e5]Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani:
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022. SCITEPRESS 2022, ISBN 978-989-758-584-5 [contents] - 2021
- [j48]Stefano Marrone, Cristina Papa, Carlo Sansone:
Effects of hidden layer sizing on CNN fine-tuning. Future Gener. Comput. Syst. 118: 48-55 (2021) - [j47]Antonio Galli, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone:
A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI. J. Imaging 7(12): 276 (2021) - [j46]Michela Gravina, Stefano Marrone, Mario Sansone, Carlo Sansone:
DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI. Pattern Recognit. Lett. 145: 67-73 (2021) - [j45]Stefano Marrone, Carlo Sansone:
On the transferability of adversarial perturbation attacks against fingerprint based authentication systems. Pattern Recognit. Lett. 152: 253-259 (2021) - [e4]Ana Fred, Carlo Sansone, Kurosh Madani:
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, DeLTA 2021, Online Streaming, July 7-9, 2021. SCITEPRESS 2021, ISBN 978-989-758-526-5 [contents] - 2020
- [j44]Gabriele Piantadosi, Mario Sansone, Roberta Fusco, Carlo Sansone:
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks. Artif. Intell. Medicine 103: 101781 (2020) - [c128]Antonio Galli, Stefano Marrone, Vincenzo Moscato, Carlo Sansone:
Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios. ICPR Workshops (3) 2020: 243-256 - [c127]Michela Gravina, Stefano Marrone, Gabriele Piantadosi, Vincenzo Moscato, Carlo Sansone:
Developing a Smart PACS: CBIR System Using Deep Learning. ICPR Workshops (2) 2020: 296-309 - [c126]Stefano Marrone, Roberto Casula, Giulia Orrù, Gian Luca Marcialis, Carlo Sansone:
Fingerprint Adversarial Presentation Attack in the Physical Domain. ICPR Workshops (6) 2020: 530-543 - [c125]Carlo Sansone, Giancarlo Sperlì:
A Survey About the Cyberbullying Problem on Social Media by Using Machine Learning Approaches. ICPR Workshops (7) 2020: 672-682 - [c124]Federica Aprea, Stefano Marrone, Carlo Sansone:
Neural Machine Registration for Motion Correction in Breast DCE-MRI. ICPR 2020: 4332-4339 - [c123]Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone:
Deep learning in the ultrasound evaluation of neonatal respiratory status. ICPR 2020: 10493-10499 - [i2]Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone:
Deep learning in the ultrasound evaluation of neonatal respiratory status. CoRR abs/2011.00337 (2020)
2010 – 2019
- 2019
- [j43]Mario Merone, Carlo Sansone, Paolo Soda:
A computer-aided diagnosis system for HEp-2 fluorescence intensity classification. Artif. Intell. Medicine 97: 71-78 (2019) - [j42]Flora Amato, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Antonio Picariello, Carlo Sansone:
HOLMeS: eHealth in the Big Data and Deep Learning Era. Inf. 10(2): 34 (2019) - [j41]Andrea F. Abate, Gian Luca Marcialis, Norman Poh, Carlo Sansone:
Introduction to the special issue on robustness, security and regulation aspects in current biometric systems (RSRA-BS). Pattern Recognit. Lett. 126: 1-2 (2019) - [c122]Antonio Galli, Michela Gravina, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone:
Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification. CAIP (2) 2019: 294-304 - [c121]Gabriele Piantadosi, Stefano Marrone, Antonio Galli, Mario Sansone, Carlo Sansone:
DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network. CBMS 2019: 628-633 - [c120]Stefano Marrone, Stefano Olivieri, Gabriele Piantadosi, Carlo Sansone:
Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures. EUSIPCO 2019: 1-5 - [c119]Stefano Marrone, Carlo Sansone:
Adversarial Perturbations Against Fingerprint Based Authentication Systems. ICB 2019: 1-6 - [c118]Gabriele Piantadosi, Giampaolo Bovenzi, Giuseppe Argenziano, Elvira Moscarella, Domenico Parmeggiani, Ludovico Docimo, Carlo Sansone:
Skin Lesions Classification: A Radiomics Approach with Deep CNN. ICIAP Workshops 2019: 252-259 - [c117]Michela Gravina, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone:
3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI. ICIAP (2) 2019: 661-671 - [c116]Stefano Marrone, Carlo Sansone:
An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection. IJCNN 2019: 1-8 - [c115]Antonio Galli, Michela Gravina, Vincenzo Moscato, Antonio Picariello, Carlo Sansone, Giancarlo Sperlì:
A Business Reputation Methodology Using Social Network Analysis. I-SPAN 2019: 96-106 - [c114]Donatello Conte, Pierre Gaucher, Carlo Sansone:
Catfish density estimation by aerial images analysis and deep learning. SAC 2019: 1111-1114 - 2018
- [j40]Gabriele Piantadosi, Stefano Marrone, Roberta Fusco, Mario Sansone, Carlo Sansone:
Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns. IET Comput. Vis. 12(7): 1007-1017 (2018) - [j39]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A deep learning approach for iris sensor model identification. Pattern Recognit. Lett. 113: 46-53 (2018) - [c113]Gabriele Piantadosi, Mario Sansone, Carlo Sansone:
Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks. ICPR 2018: 3917-3922 - [c112]Gabriele Piantadosi, Stefano Marrone, Carlo Sansone:
On Reproducibility of Deep Convolutional Neural Networks Approaches. RRPR 2018: 104-109 - 2017
- [j38]Mario Merone, Paolo Soda, Mario Sansone, Carlo Sansone:
ECG databases for biometric systems: A systematic review. Expert Syst. Appl. 67: 189-202 (2017) - [j37]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A study of co-occurrence based local features for camera model identification. Multim. Tools Appl. 76(4): 4765-4781 (2017) - [j36]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Blind PRNU-Based Image Clustering for Source Identification. IEEE Trans. Inf. Forensics Secur. 12(9): 2197-2211 (2017) - [c111]Flora Amato, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Antonio Picariello, Carlo Sansone:
Chatbots Meet eHealth: Automatizing Healthcare. WAIAH@AI*IA 2017: 40-49 - [c110]David Yambay, Benedict Becker, Naman Kohli, Daksha Yadav, Adam Czajka, Kevin W. Bowyer, Stephanie Schuckers, Richa Singh, Mayank Vatsa, Afzel Noore, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Lingxiao He, Yiwei Ru, Haiqing Li, Nianfeng Liu, Zhenan Sun, Tieniu Tan:
LivDet iris 2017 - Iris liveness detection competition 2017. IJCB 2017: 733-741 - [c109]Stefano Marrone, Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone:
An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI. ICIAP (2) 2017: 479-489 - [c108]Davide Cozzolino, Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
PRNU-Based Forgery Localization in a Blind Scenario. ICIAP (2) 2017: 569-579 - [c107]Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Training convolutional neural networks for semantic classification of remote sensing imagery. JURSE 2017: 1-4 - [c106]Marco Castelluccio, Carlo Sansone, Luisa Verdoliva, Giovanni Poggi:
Automatically analyzing groups of crashes for finding correlations. ESEC/SIGSOFT FSE 2017: 717-726 - 2016
- [j35]Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino:
Recommending multimedia visiting paths in cultural heritage applications. Multim. Tools Appl. 75(7): 3813-3842 (2016) - [j34]Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva:
Cell image classification by a scale and rotation invariant dense local descriptor. Pattern Recognit. Lett. 82: 72-78 (2016) - [j33]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Using iris and sclera for detection and classification of contact lenses. Pattern Recognit. Lett. 82: 251-257 (2016) - [c105]Stefano Marrone, Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone:
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI. ICPR 2016: 1472-1477 - [c104]Diego Gragnaniello, Carlo Sansone, Giovanni Poggi, Luisa Verdoliva:
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network. SITIS 2016: 193-198 - [c103]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Correlation clustering for PRNU-based blind image source identification. WIFS 2016: 1-6 - 2015
- [j32]Francesco Gargiulo, Antonio Fratini, Mario Sansone, Carlo Sansone:
Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction. Comput. Methods Programs Biomed. 121(3): 127-136 (2015) - [j31]Flora Amato, Antonino Mazzeo, Vincenzo Moscato, Antonio Picariello, Carlo Sansone:
Managing 3D objects for real world scenes reconstruction. Int. J. Comput. Sci. Eng. 11(1): 56-67 (2015) - [j30]Gabriele Piantadosi, Stefano Marrone, Mario Sansone, Carlo Sansone:
A secure, scalable and versatile multi-layer client-server architecture for remote intelligent data processing. J. Reliab. Intell. Environ. 1(2-4): 173-187 (2015) - [j29]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Local contrast phase descriptor for fingerprint liveness detection. Pattern Recognit. 48(4): 1050-1058 (2015) - [j28]Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva:
Iris liveness detection for mobile devices based on local descriptors. Pattern Recognit. Lett. 57: 81-87 (2015) - [j27]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
An Investigation of Local Descriptors for Biometric Spoofing Detection. IEEE Trans. Inf. Forensics Secur. 10(4): 849-863 (2015) - [c102]Aythami Morales, Mario Falanga, Julian Fiérrez, Carlo Sansone, Javier Ortega-Garcia:
Keystroke dynamics recognition based on personal data: A comparative experimental evaluation implementing reproducible research. BTAS 2015: 1-6 - [c101]Antonio Fratini, Francesco Gargiulo, Francesca Lampognana, Vincenzo Moscato, Carlo Sansone, Mario Sansone:
Suitability of a low cost system for quantitative motion capture applications. FG 2015: 1-8 - [c100]Pedro Tome, Ramachandra Raghavendra, Christoph Busch, Santosh Tirunagari, Norman Poh, B. H. Shekar, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Sébastien Marcel:
The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks. ICB 2015: 513-518 - [c99]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Evaluation of Residual-Based Local Features for Camera Model Identification. ICIAP Workshops 2015: 11-18 - [c98]Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone:
LBP-TOP for Volume Lesion Classification in Breast DCE-MRI. ICIAP (1) 2015: 647-657 - [c97]Mario Barbareschi, Salvatore Del Prete, Francesco Gargiulo, Antonino Mazzeo, Carlo Sansone:
Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective. MCS 2015: 194-205 - [c96]Francesco Marra, Giovanni Poggi, Fabio Roli, Carlo Sansone, Luisa Verdoliva:
Counter-forensics in machine learning based forgery detection. Media Watermarking, Security, and Forensics 2015: 94090L - [c95]Gabriele Piantadosi, Stefano Marrone, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone:
Data-driven selection of motion correction techniques in breast DCE-MRI. MeMeA 2015: 273-278 - [c94]Flora Amato, Giovanni Cozzolino, Alessandro Maisto, Antonino Mazzeo, Vincenzo Moscato, Serena Pelosi, Antonio Picariello, Sara Romano, Carlo Sansone:
ABC: A knowledge Based Collaborative framework for e-health. RTSI 2015: 258-263 - [e3]Vittorio Murino, Enrico Puppo, Diego Sona, Marco Cristani, Carlo Sansone:
New Trends in Image Analysis and Processing - ICIAP 2015 Workshops - ICIAP 2015 International Workshops: BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings. Lecture Notes in Computer Science 9281, Springer 2015, ISBN 978-3-319-23221-8 [contents] - [i1]Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks. CoRR abs/1508.00092 (2015) - 2014
- [j26]