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2020 – today
- 2024
[j16]Marco Montanaro, Antonio Maria Rinaldi
, Cristiano Russo, Cristian Tommasino:
A rule-based obfuscating focused crawler in the audio retrieval domain. Multim. Tools Appl. 83(9): 25231-25260 (2024)- [j15]Marco Montanaro, Antonio Maria Rinaldi, Cristiano Russo, Cristian Tommasino:
Using knowledge graphs for audio retrieval: a case study on copyright infringement detection. World Wide Web (WWW) 27(4): 37 (2024) - [c21]Cristian Tommasino, Cristiano Russo, Antonio Maria Rinaldi, Francesco Ciompi:
"HoVer-UNet": Accelerating Hovernet with Unet-Based Multi-Class Nuclei Segmentation Via Knowledge Distillation. ISBI 2024: 1-4 - [c20]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 - [c19]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 - [c18]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 - [i2]Cristian Tommasino, Cristiano Russo, Antonio Maria Rinaldi:
NuLite - Lightweight and Fast Model for Nuclei Instance Segmentation and Classification. CoRR abs/2408.01797 (2024) - 2023
- [j14]Cristian Tommasino, Francesco Merolla, Cristiano Russo, Stefania Staibano, Antonio Maria Rinaldi:
Histopathological Image Deep Feature Representation for CBIR in Smart PACS. J. Imaging Inform. Medicine 36(5): 2194-2209 (2023) - [j13]Kurosh Madani, Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
A combined approach for improving humanoid robots autonomous cognitive capabilities. Knowl. Inf. Syst. 65(8): 3197-3221 (2023) - [j12]Gianluigi Renzi, Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
A storytelling framework based on multimedia knowledge graph using linked open data and deep neural networks. Multim. Tools Appl. 82(20): 31625-31639 (2023) - [c17]Domenico Amalfitano, Vincenzo D'Angelo, Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
Enhancing Gesture Recognition for Sign Language Interpretation in Challenging Environment Conditions: A Deep Learning Approach. KDIR 2023: 395-402 - [c16]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 - [c15]Domenico Benfenati, Marco Montanaro, Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
Using Focused Crawlers with Obfuscation Techniques in the Audio Retrieval Domain. MEDES 2023: 3-17 - [i1]Cristian Tommasino, Cristiano Russo, Antonio Maria Rinaldi, Francesco Ciompi:
"HoVer-UNet": Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillation. CoRR abs/2311.12553 (2023) - 2022
- [j11]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
An Augmented Reality CBIR System Based on Multimedia Knowledge Graph and Deep Learning Techniques in Cultural Heritage. Comput. 11(12): 172 (2022) - [j10]Michela Muscetti, Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques. Knowl. Inf. Syst. 64(5): 1283-1303 (2022) - [c14]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
An Approach Based on Linked Open Data and Augmented Reality for Cultural Heritage Content-Based Information Retrieval. ICCSA (2) 2022: 99-112 - [c13]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
Effects of Color Stain Normalization in Histopathology Image Retrieval using Deep Learning. ISM 2022: 26-33 - [c12]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
A Novel Approach to Populate Multimedia Knowledge Graph via Deep Learning and Semantic Analysis. MEDES 2022: 40-47 - 2021
- [j9]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
A semantic approach for document classification using deep neural networks and multimedia knowledge graph. Expert Syst. Appl. 169: 114320 (2021) - [j8]Antonio M. Rinaldi, Cristiano Russo:
Using a multimedia semantic graph for web document visualization and summarization. Multim. Tools Appl. 80(3): 3885-3925 (2021) - [j7]Cristiano Russo, Kurosh Madani, Antonio M. Rinaldi:
Knowledge Acquisition and Design Using Semantics and Perception: A Case Study for Autonomous Robots. Neural Process. Lett. 53(5): 3153-3168 (2021) - [j6]Cristiano Russo, Kurosh Madani, Antonio Maria Rinaldi:
An Unsupervised Approach for Knowledge Construction Applied to Personal Robots. IEEE Trans. Cogn. Dev. Syst. 13(1): 6-15 (2021) - [j5]Kurosh Madani, Antonio M. Rinaldi, Cristiano Russo:
A Semantic-Based Strategy to Model Multimedia Social Networks. Trans. Large Scale Data Knowl. Centered Syst. 47: 29-50 (2021) - [c11]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
Web Document Categorization Using Knowledge Graph and Semantic Textual Topic Detection. ICCSA (3) 2021: 40-51 - [c10]Kurosh Madani, Antonio M. Rinaldi, Cristiano Russo:
Combining Linked Open Data and Multimedia Knowledge Base for Digital Cultural Heritage Robotic Applications. ISM 2021: 196-203 - [c9]Antonio M. Rinaldi, Cristiano Russo, Cristian Tommasino:
Visual Query Posing in Multimedia Web Document Retrieval. ICSC 2021: 415-420 - 2020
- [b1]Cristiano Russo:
Knowledge design and conceptualization in autonomous robotics. (Construction et conceptualisation de connaissances en robotique autonome). University of Paris-Est, France, 2020 - [j4]Antonio Maria Rinaldi, Cristiano Russo, Cristian Tommasino:
A Knowledge-Driven Multimedia Retrieval System Based on Semantics and Deep Features. Future Internet 12(11): 183 (2020) - [j3]Antonio M. Rinaldi, Cristiano Russo, Kurosh Madani:
A Semantic Matching Strategy for Very Large Knowledge Bases Integration. Int. J. Inf. Technol. Web Eng. 15(2): 1-29 (2020) - [j2]Andrea Capuano, Antonio M. Rinaldi, Cristiano Russo:
An ontology-driven multimedia focused crawler based on linked open data and deep learning techniques. Multim. Tools Appl. 79(11-12): 7577-7598 (2020) - [j1]Antonio M. Rinaldi, Cristiano Russo:
Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data. Trans. Large Scale Data Knowl. Centered Syst. 45: 109-131 (2020) - [c8]Antonio M. Rinaldi, Cristiano Russo:
A Content Based Image Retrieval Approach based on Multiple Multimedia Features Descriptors in E-health Environment. MeMeA 2020: 1-6
2010 – 2019
- 2019
- [c7]Kurosh Madani, Cristiano Russo, Antonio M. Rinaldi:
Merging Large Ontologies using BigData GraphDB. IEEE BigData 2019: 2383-2392 - [c6]Cristiano Russo, Kurosh Madani, Antonio Maria Rinaldi:
Knowledge Construction Through Semantic Interpretation of Visual Information. IWANN (2) 2019: 246-257 - [c5]Cristiano Russo, Kurosh Madani, Antonio M. Rinaldi, Christophe Sabourin:
Multimedia Knowledge Design and Processing for Personal Robots. MEDES 2019: 316-323 - 2018
- [c4]Antonio M. Rinaldi, Cristiano Russo:
User-centered Information Retrieval using Semantic Multimedia Big Data. IEEE BigData 2018: 2304-2313 - [c3]Antonio M. Rinaldi, Cristiano Russo:
A Novel Framework to Represent Documents using a Semantically-grounded Graph Model. KDIR 2018: 201-209 - [c2]Antonio M. Rinaldi, Cristiano Russo:
A semantic-based model to represent multimedia big data. MEDES 2018: 31-38 - [c1]Antonio M. Rinaldi, Cristiano Russo:
A Matching Framework for Multimedia Data Integration Using Semantics and Ontologies. ICSC 2018: 363-368
Coauthor Index
aka: Antonio M. Rinaldi
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last updated on 2024-10-12 23:00 CEST by the dblp team
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