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Carlo Sansone
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- affiliation: University of Naples Federico II, Italy
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2020 – today
- 2024
- [j64]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) - [j63]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) - [j62]Michela Gravina, Domiziana Santucci, Ermanno Cordelli, Paolo Soda, Carlo Sansone:
Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation. IEEE Trans. Artif. Intell. 5(9): 4823-4836 (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) - [c158]Flora Amato, Egidia Cirillo, Mattia Fonisto, Alberto Moccardi, Vincenzo Moscato, Carlo Sansone, Stefano Marrone, Antonio Maria Rinaldi, Antonio Galli, Domenico Benfenati, Giovanni Maria De Filippis, Lidia Marassi, Narendra Patwardhan, Antonio Elia Pascarella, Cristiano Russo, Cristian Tommasino:
Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications. Ital-IA 2024: 77-82 - [c157]Flora Amato, Giovanni Maria De Filippis, Antonio Galli, Michela Gravina, Lidia Marassi, Stefano Marrone, Elio Masciari, Vincenzo Moscato, Antonio Maria Rinaldi, Cristiano Russo, Carlo Sansone, Cristian Tommasino:
Responsibile and Reliable AI: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 141-146 - [c156]Giulia Orrù, Vincenzo Gattulli, Guido Colaiacovo, Stefano Marrone, Giovanni Puglisi, Lucia Sarcinella, Grazia Terrone, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone:
Artificial intelligence tools in the ongoing fight against bullying and cyberbullying: a multidisciplinary approach. Ital-IA 2024: 188-193 - [c155]Antonino Ferraro, Antonio Galli, Valerio La Gatta, Lidia Marassi, Stefano Marrone, Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlì:
AI in Cybersecurity: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 194-199 - [c154]Alessandro Del Prete, Sofia Dutto, Antonino Ferraro, Antonio Galli, Vincenzo Moscato, Gabriele Piantadosi, Carlo Sansone, Giancarlo Sperlì:
AI in Industry: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 265-270 - [c153]Domenico Benfenati, Salvatore Capuozzo, Giovanni Maria De Filippis, Adriano De Simone, Michela Gravina, Lidia Marassi, Stefano Marrone, Elio Masciari, Enea Vincenzo Napolitano, Giuseppe Pontillo, Marco Postiglione, Cristiano Russo, Cristian Tommasino, Antonio Maria Rinaldi, Vincenzo Moscato, Carlo Sansone:
AI in Medicine: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 348-353 - [c152]Flora Amato, Giovanni Luca Giacco, Lidia Marassi, Stefano Marrone, Antonio Elia Pascarella, Carlo Sansone:
AI for Sustainability: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 540-545 - [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 - [e10]Sergio Di Martino, Carlo Sansone, Elio Masciari, Silvia Rossi, Michela Gravina:
Proceedings of the Ital-IA Intelligenza Artificiale - Thematic Workshops co-located with the 4th CINI National Lab AIIS Conference on Artificial Intelligence (Ital-IA 2024), Naples, Italy, May 29-30, 2024. CEUR Workshop Proceedings 3762, CEUR-WS.org 2024 [contents] - 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]Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection. IEEE Trans. Inf. Forensics Secur. 9(4): 554-567 (2014) - [c93]Stefano Marrone, Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone:
A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI. CBMS 2014: 209-214 - [c92]Flora Amato, Francesco Gargiulo, Alessandro Maisto, Antonino Mazzeo, Serena Pelosi, Carlo Sansone:
A Method for Topic Detection in Great Volumes of Data. DATA (Revised Selected Papers) 2014: 169-181 - [c91]Flora Amato, Francesco Gargiulo, Antonino Mazzeo, Carlo Sansone:
A Method of Topic Detection for Great Volume of Data. DATA 2014: 434-439 - [c90]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Guided filtering for PRNU-based localization of small-size image forgeries. ICASSP 2014: 6231-6235 - [c89]Francesco Marra, Fabio Roli, Davide Cozzolino, Carlo Sansone, Luisa Verdoliva:
Attacking the triangle test in sensor-based camera identification. ICIP 2014: 5307-5311 - [c88]Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva:
Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification. I3A@ICPR 2014: 1-5 - [c87]Francesco Aurino, Mariano Folla, Francesco Gargiulo, Vincenzo Moscato, Antonio Picariello, Carlo Sansone:
One-Class SVM Based Approach for Detecting Anomalous Audio Events. INCoS 2014: 145-151 - [c86]Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino:
A Framework for Recommending Multimedia Cultural Visiting Paths. SEBD 2014: 311-318 - [c85]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor. SITIS 2014: 560-565 - 2013
- [c84]Flora Amato, Francesco Gargiulo, Antonino Mazzeo, Sara Romano, Carlo Sansone:
A Semantic Search Engine in the Cloud. 3PGCIC 2013: 436-441 - [c83]Flora Amato, Francesco Gargiulo, Antonino Mazzeo, Sara Romano, Carlo Sansone:
Combining Syntactic and Semantic Vector Space Models in the Health Domain by using a Clustering Ensemble. HEALTHINF 2013: 382-385 - [c82]Gabriele Piantadosi, Stefano Marrone, Mario Sansone, Carlo Sansone:
A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI. ICA3PP (2) 2013: 217-224 - [c81]Francesco Carpine, Claudio Mazzariello, Carlo Sansone:
Online IRC botnet detection using a SOINN classifier. ICC Workshops 2013: 1351-1356 - [c80]Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino:
Recommending Multimedia Objects in Cultural Heritage Applications. ICIAP Workshops 2013: 257-267 - [c79]Davide Cozzolino, Francesco Gargiulo, Carlo Sansone, Luisa Verdoliva:
Multiple Classifier Systems for Image Forgery Detection. ICIAP (2) 2013: 259-268 - [c78]Stefano Marrone, Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone:
Automatic Lesion Detection in Breast DCE-MRI. ICIAP (2) 2013: 359-368 - [c77]Luca Giangiuseppe Esposito, Carlo Sansone:
A Multiple Classifier Approach for Detecting Naked Human Bodies in Images. ICIAP (2) 2013: 389-398 - [c76]Carlo Sansone, Sabato Manfredi, Edmondo Di Tucci, Saverio De Vito, Grazia Fattoruso, Francesco Tortorella:
A novel approach for detecting alerts in urban pollution monitoring with low cost sensors. M&N 2013: 89-93 - [c75]Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
PRNU-based forgery detection with regularity constraints and global optimization. MMSP 2013: 236-241 - [p4]Francesco Gargiulo, Claudio Mazzariello, Carlo Sansone:
Multiple Classifier Systems: Theory, Applications and Tools. Handbook on Neural Information Processing 2013: 335-378 - 2012
- [j25]Francesco Gargiulo, Claudio Mazzariello, Carlo Sansone:
Automatically building datasets of labeled IP traffic traces: A self-training approach. Appl. Soft Comput. 12(6): 1640-1649 (2012) - [j24]Emanuela Marasco, Carlo Sansone:
Combining perspiration- and morphology-based static features for fingerprint liveness detection. Pattern Recognit. Lett. 33(9): 1148-1156 (2012) - [c74]Luca Marfella, Emanuela Marasco, Carlo Sansone:
Liveness-based fusion approaches in multibiometrics. BioMS 2012: 1-7 - [c73]Roberta Fusco, Mario Sansone, Carlo Sansone, Antonella Petrillo:
Segmentation and classification of breast lesions using dynamic and textural features in Dynamic Contrast Enhanced-Magnetic Resonance Imaging. CBMS 2012: 1-4 - [c72]Angelo Chianese, Vincenzo Moscato, Fabio Persia, Antonio Picariello, Carlo Sansone:
A Framework for Building Multimedia Ontologies from Web Information Sources. SEBD 2012: 83-90 - [c71]Flora Amato, Vincenzo Moscato, Antonio Picariello, Carlo Sansone:
Reconstruction of Car Crash Scenes Using a 3D Building and Query Algebra. SITIS 2012: 891-897 - [c70]Roberta Fusco, Mario Sansone, Antonella Petrillo, Carlo Sansone:
A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI. SSPR/SPR 2012: 684-692 - [c69]Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A Comparative Analysis of Forgery Detection Algorithms. SSPR/SPR 2012: 693-700 - 2011
- [c68]Emanuela Marasco, Carlo Sansone:
On the security evaluation of a multibiometric system based on a voting strategy involving likelihood ratio statistic tests. BioMS 2011: 1-5 - [c67]Emanuela Marasco, Carlo Sansone:
On the Robustness of Fingerprint Liveness Detection Algorithms against New Materials used for Spoofing. BIOSIGNALS 2011: 553-558 - [c66]Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva, Carlo Sansone:
PRNU-based detection of small-size image forgeries. DSP 2011: 1-6 - [c65]Roberta Fusco, Mario Sansone, Carlo Sansone, Antonella Petrillo:
Selection of Suspicious ROIs in Breast DCE-MRI. ICIAP (1) 2011: 48-57 - [c64]Emanuela Marasco, Carlo Sansone:
An Experimental Comparison of Different Methods for Combining Biometric Identification Systems. ICIAP (2) 2011: 255-264 - [c63]Emanuela Marasco, Peter Johnson, Carlo Sansone, Stephanie A. C. Schuckers:
Increase the Security of Multibiometric Systems by Incorporating a Spoofing Detection Algorithm in the Fusion Mechanism. MCS 2011: 309-318 - [c62]Alberto Dainotti, Antonio Pescapè, Carlo Sansone, Antonio Quintavalle:
Using a Behaviour Knowledge Space Approach for Detecting Unknown IP Traffic Flows. MCS 2011: 360-369 - [c61]Alberto Dainotti, Antonio Pescapè, Carlo Sansone:
Early Classification of Network Traffic through Multi-classification. TMA 2011: 122-135 - [e2]Carlo Sansone, Josef Kittler, Fabio Roli:
Multiple Classifier Systems - 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings. Lecture Notes in Computer Science 6713, Springer 2011, ISBN 978-3-642-21556-8 [contents] - 2010
- [c60]Emanuela Marasco, Arun Ross, Carlo Sansone:
Predicting identification errors in a multibiometric system based on ranks and scores. BTAS 2010: 1-6 - [c59]Alberto Dainotti, Francesco Gargiulo, Ludmila I. Kuncheva, Antonio Pescapè, Carlo Sansone:
Identification of Traffic Flows Hiding behind TCP Port 80. ICC 2010: 1-6 - [c58]Francesco Gargiulo, Carlo Sansone:
Improving Performance of Network Traffic Classification Systems by Cleaning Training Data. ICPR 2010: 2768-2771 - [c57]Francesco Gargiulo, Carlo Sansone:
SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning. MCS 2010: 84-93 - [c56]Carlo Sansone, Vincenzo Paduano, Michele Ceccarelli:
Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells. MCS 2010: 284-293 - [c55]Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
On the influence of denoising in PRNU based forgery detection. MiFor@MM 2010: 117-122
2000 – 2009
- 2009
- [j23]Giulio Iannello, Gennaro Percannella, Carlo Sansone, Paolo Soda:
On the use of classification reliability for improving performance of the one-per-class decomposition method. Data Knowl. Eng. 68(12): 1398-1410 (2009) - [j22]Giorgio Giacinto, Fabio Roli, Carlo Sansone:
Information fusion in computer security. Inf. Fusion 10(4): 272-273 (2009) - [j21]Igino Corona, Giorgio Giacinto, Claudio Mazzariello, Fabio Roli, Carlo Sansone:
Information fusion for computer security: State of the art and open issues. Inf. Fusion 10(4): 274-284 (2009) - [j20]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
Benchmarking graph-based clustering algorithms. Image Vis. Comput. 27(7): 979-988 (2009) - [c54]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
The Impact of Reliability Evaluation on a Semi-supervised Learning Approach. ICIAP 2009: 249-258 - [c53]Emanuela Marasco, Carlo Sansone:
Improving the Accuracy of a Score Fusion Approach Based on Likelihood Ratio in Multimodal Biometric Systems. ICIAP 2009: 509-518 - [c52]Claudio Mazzariello, Carlo Sansone:
Anomaly-Based Detection of IRC Botnets by Means of One-Class Support Vector Classifiers. ICIAP 2009: 883-892 - [c51]Francesco Gargiulo, Ludmila I. Kuncheva, Carlo Sansone:
Network Protocol Verification by a Classifier Selection Ensemble. MCS 2009: 314-323 - [p3]Francesco Gargiulo, Antonio Penta, Antonio Picariello, Carlo Sansone:
A Personal Antispam System Based on a Behaviour-Knowledge Space Approach. Applications of Supervised and Unsupervised Ensemble Methods 2009: 39-57 - [e1]Pasquale Foggia, Carlo Sansone, Mario Vento:
Image Analysis and Processing - ICIAP 2009, 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009, Proceedings. Lecture Notes in Computer Science 5716, Springer 2009, ISBN 978-3-642-04145-7 [contents] - 2008
- [j19]Antonio Picariello, Carlo Sansone:
A web usage mining algorithm for web personalization. Intell. Decis. Technol. 2(4): 219-230 (2008) - [j18]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Graph-Based Algorithm for Cluster Detection. Int. J. Pattern Recognit. Artif. Intell. 22(5): 843-860 (2008) - [c50]Francesco Gargiulo, Antonio Penta, Antonio Picariello, Carlo Sansone:
Using Heterogeneous Features for Anti-spam Filters. DEXA Workshops 2008: 670-674 - [c49]Francesco Gargiulo, Carlo Sansone:
Combining visual and textual features for filtering spam emails. ICPR 2008: 1-4 - [c48]Francesco Gargiulo, Carlo Sansone:
Visual and OCR-Based Features for Detecting Image Spam. PRIS 2008: 154-163 - [c47]Alice Este, Francesco Gargiulo, Francesco Gringoli, Luca Salgarelli, Carlo Sansone:
Pattern Recognition Approaches for Classifying IP Flows. SSPR/SPR 2008: 885-895 - [p2]Francesco Gargiulo, Claudio Mazzariello, Carlo Sansone:
A Self-training Approach for Automatically Labeling IP Traffic Traces. Computer Recognition Systems 2 2008: 705-717 - 2007
- [j17]Luigi P. Cordella, Carlo Sansone:
A multi-stage classification system for detecting intrusions in computer networks. Pattern Anal. Appl. 10(2): 83-100 (2007) - [j16]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Segmentation of news videos based on audio-video information. Pattern Anal. Appl. 10(2): 135-145 (2007) - [c46]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Graph-Based Clustering Method and Its Applications. BVAI 2007: 277-287 - [c45]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
Assessing the Performance of a Graph-Based Clustering Algorithm. GbRPR 2007: 215-227 - [c44]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
Evaluating Classification Reliability for Combining Classifiers. ICIAP 2007: 711-716 - [c43]Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
On Rejecting Unreliably Classified Patterns. MCS 2007: 282-291 - [p1]Donatello Conte, Pasquale Foggia, Carlo Sansone, Mario Vento:
How and Why Pattern Recognition and Computer Vision Applications Use Graphs. Applied Graph Theory in Computer Vision and Pattern Recognition 2007: 85-135 - 2006
- [c42]Claudio Mazzariello, Carlo Sansone:
A Multiple Classifier System for Intrusion Detection Using Behavior Knowledge Spaces and Temporal Information. ICEIS Doctoral Consortium 2006: 16-23 - [c41]Stefania Colonnese, A. Piccoli, Carlo Sansone, Gaetano Scarano:
H.264 video coding for low bit rate error prone channels: An application to TETRA systems. EUSIPCO 2006: 1-5 - [c40]Massimo De Santo, Pasquale Foggia, Carlo Sansone, Gennaro Percannella, Mario Vento:
An Unsupervised Algorithm for Anchor Shot Detection. ICPR (2) 2006: 1238-1241 - [c39]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Unsupervised News Video Segmentation by Combined Audio-Video Analysis. MRCS 2006: 273-281 - [c38]Pasquale Foggia, M. Guerriero, Gennaro Percannella, Carlo Sansone, Francesco Tufano, Mario Vento:
A Graph-Based Method for Detecting and Classifying Clusters in Mammographic Images. SSPR/SPR 2006: 484-493 - [c37]L. D'Anna, G. Marrazzo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Multi-stage Approach for Anchor Shot Detection. SSPR/SPR 2006: 773-782 - 2005
- [c36]Luigi P. Cordella, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Graph-Theoretical Clustering Method for Detecting Clusters of Micro-Calcifications in Mammographic Images. CBMS 2005: 15-20 - [c35]Luigi P. Cordella, I. Finizio, Claudio Mazzariello, Carlo Sansone:
Using Behavior Knowledge Space and Temporal Information for Detecting Intrusions in Computer Networks. ICAPR (2) 2005: 94-102 - [c34]Marcello Esposito, Claudio Mazzariello, Francesco Oliviero, Simon Pietro Romano, Carlo Sansone:
Real Time Detection of Novel Attacks by Means of Data Mining Techniques. ICEIS (3) 2005: 120-127 - [c33]I. Finizio, Claudio Mazzariello, Carlo Sansone:
Combining Genetic-Based Misuse and Anomaly Detection for Reliably Detecting Intrusions in Computer Networks. ICIAP 2005: 66-74 - [c32]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
An Improved Algorithm for Anchor Shot Detection. ICIAP 2005: 679-686 - [c31]Stefania Colonnese, Gianpiero Panci, Carlo Sansone, Gaetano Scarano:
Hierarchical image analysis using Radon transform: an application to error concealment. ICIP (3) 2005: 884-887 - [c30]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation. Multiple Classifier Systems 2005: 397-406 - [c29]Marcello Esposito, Claudio Mazzariello, Francesco Oliviero, Simon Pietro Romano, Carlo Sansone:
Evaluating Pattern Recognition Techniques in Intrusion Detection Systems. PRIS 2005: 144-153 - 2004
- [j15]Donatello Conte, Pasquale Foggia, Carlo Sansone, Mario Vento:
Thirty Years Of Graph Matching In Pattern Recognition. Int. J. Pattern Recognit. Artif. Intell. 18(3): 265-298 (2004) - [j14]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Multi-Expert System For Shot Change Detection In Mpeg Movies. Int. J. Pattern Recognit. Artif. Intell. 18(5): 933-956 (2004) - [j13]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Combining experts for anchorperson shot detection in news videos. Pattern Anal. Appl. 7(4): 447-460 (2004) - [j12]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 26(10): 1367-1372 (2004) - [c28]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Multi-expert Approach for Shot Classification in News Videos. ICIAR (1) 2004: 564-571 - [c27]Gianluca Antonelli, Fabrizio Caccavale, Carlo Sansone, Luigi Villani:
Fault Diagnosis for AUVs using Support Vector Machines. ICRA 2004: 4486-4491 - [c26]Luigi P. Cordella, Alessandro Limongiello, Carlo Sansone:
Network Intrusion Detection by a Multi-stage Classification System. Multiple Classifier Systems 2004: 324-333 - [c25]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Comparison of Unsupervised Shot Classification Algorithms for News Video Segmentation. SSPR/SPR 2004: 233-241 - [c24]Massimiliano Albanese, Antonio Picariello, Carlo Sansone, Lucio Sansone:
Web personalization based on static information and dynamic user behavior. WIDM 2004: 80-87 - [c23]Massimiliano Albanese, Antonio Picariello, Carlo Sansone, Lucio Sansone:
A web personalization system based on web usage mining techniques. WWW (Alternate Track Papers & Posters) 2004: 288-289 - 2003
- [j11]Pasquale Foggia, Carlo Sansone, Mario Vento:
Preface. Pattern Recognit. Lett. 24(8): 1033-1034 (2003) - [j10]Massimo De Santo, Pasquale Foggia, Carlo Sansone, Mario Vento:
A large database of graphs and its use for benchmarking graph isomorphism algorithms. Pattern Recognit. Lett. 24(8): 1067-1079 (2003) - [c22]Donatello Conte, Corrado Guidobaldi, Carlo Sansone:
A Comparison of Three Maximum Common Subgraph Algorithms on a Large Database of Labeled Graphs. GbRPR 2003: 130-141 - [c21]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
A real-time text-independent speaker identification system. ICIAP 2003: 632-637 - [c20]Donatello Conte, Pasquale Foggia, Carlo Sansone, Mario Vento:
Graph matching applications in pattern recognition and image processing. ICIP (2) 2003: 21-24 - 2002
- [j9]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Cooperating experts for soundtrack analysis of MPEG movies. Inf. Fusion 3(3): 225-236 (2002) - [j8]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
Learning structural shape descriptions from examples. Pattern Recognit. Lett. 23(12): 1427-1437 (2002) - [c19]Luigi P. Cordella, Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Multi-expert System for Movie Segmentation. Multiple Classifier Systems 2002: 304-313 - [c18]Horst Bunke, Pasquale Foggia, Corrado Guidobaldi, Carlo Sansone, Mario Vento:
A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs. SSPR/SPR 2002: 123-132 - [c17]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Roberto Santoro, Mario Vento:
Automatic Cut Detection in MPEG Movies: A Multi-expert Approach. SSPR/SPR 2002: 699-708 - 2001
- [j7]Carlo Sansone, Francesco Tortorella, Mario Vento:
A Classification Reliability Driven Reject Rule for Multi-Expert Systems. Int. J. Pattern Recognit. Artif. Intell. 15(6): 885-904 (2001) - [c16]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
A Neural Multi-expert Classification System for MPEG Audio Segmentation. ICAPR 2001: 50-59 - [c15]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Classifying Audio of Movies by a Multi-Expert System. ICIAP 2001: 386-391 - [c14]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Prototyping Structural Shape Descriptions by Inductive Learning. IWVF 2001: 484-493 - [c13]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System. Multiple Classifier Systems 2001: 208-217 - [c12]Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Dialogue Scenes Detection in MPEG Movies: A Multi-expert Approach. MDIC 2001: 192-201 - 2000
- [j6]Carlo Sansone, Mario Vento:
Signature Verification: Increasing Performance by a Multi-Stage System. Pattern Anal. Appl. 3(2): 169-181 (2000) - [j5]Claudio De Stefano, Carlo Sansone, Mario Vento:
To reject or not to reject: that is the question-an answer in case of neural classifiers. IEEE Trans. Syst. Man Cybern. Part C 30(1): 84-94 (2000) - [c11]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
Fast Graph Matching for Detecting CAD Image Components. ICPR 2000: 6034-6037 - [c10]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
A Cascaded Multiple Expert System for Verification. Multiple Classifier Systems 2000: 330-339
1990 – 1999
- 1999
- [j4]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Combining statistical and structural approaches for handwritten character description. Image Vis. Comput. 17(9): 701-711 (1999) - [j3]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
Reliability Parameters to Improve Combination Strategies in Multi-Expert Systems. Pattern Anal. Appl. 2(3): 205-214 (1999) - [j2]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) - [j1]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Multiclassification: reject criteria for the Bayesian combiner. Pattern Recognit. 32(8): 1435-1447 (1999) - [c9]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
Document Validation by Signature: A Serial Multi-Expert Approach. ICDAR 1999: 601-604 - [c8]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
Performance Evaluation of the VF Graph Matching Algorithm. ICIAP 1999: 1172-1177 - 1998
- [c7]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Graph matching: a fast algorithm and its evaluation. ICPR 1998: 1582-1584 - [c6]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Optimizing the Error/Reject Trade-Off for a Multi-Expert System Using the Bayesian Combining Rule. SSPR/SPR 1998: 716-725 - 1997
- [c5]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
Subgraph Transformations for the Inexact Matching of Attributed Relational Graphs. GbRPR 1997: 43-52 - [c4]Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Character Recognition by Geometrical Moments on Structural Decompositions. ICDAR 1997: 6-10 - [c3]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
Classification Reliability and Its Use in Multi-classifier Systems. ICIAP (1) 1997: 46-53 - 1996
- [c2]Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento:
An efficient algorithm for the inexact matching of ARG graphs using a contextual transformational model. ICPR 1996: 180-184 - 1995
- [c1]Luigi P. Cordella, Claudio De Stefano, Carlo Sansone, Mario Vento:
An Adaptive Reject Option for LVQ Classifiers. ICIAP 1995: 68-73
Coauthor Index
aka: Giancarlo Sperlí
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