Angelo Cardellicchio

25 papers B 1C 2Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection. CoRR Radia Daci, Vito Renò, Cosimo Patruno, Angelo Cardellicchio, Abdelmalik Taleb-Ahmed, Marco Leo, Cosimo Distante
2025	J	`jnl`	A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data. IEEE Access Adriano Liso, Cosimo Patruno, Angelo Cardellicchio, Pierfrancesco Ardino, Nicola Gallo, Giuseppe Del Prete, Valerio Dentico, Veronica Vespini, Sara Coppola, Pietro Ferraro, Vito Renò
2025	J	`jnl`	Recent Advances and Innovative Approaches to Railway Safety Based on Applications, Sensors and Algorithms: A Systematic Review. IEEE Access Udith Krishnan Vadakkum Vadukkal, Angelo Cardellicchio, Massimiliano Nitti, Marco Fiume, Vito Renò
2025	—	`conf`	Trade-Off Between Interpretability and Accuracy: How Can XAI Build Trust in Track Geometry Predictive Maintenance? RSSRail Shahab Aldin Mansouri, Rebecca Dziedzic, Riccardo Licciardello, Sepehr Abdi Goudarzi, Vito Renò, Angelo Cardellicchio, Massimiliano Nitti
2025	J	`jnl`	Using Attention for Improving Defect Detection in Existing RC Bridges. IEEE Access Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Renò, Giuseppina Uva
2024	J	`jnl`	A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms. IEEE Access Adriano Liso, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Pierfrancesco Ardino, Ettore Stella, Vito Renò
2024	—	`conf`	A new methodology to automatically detect cracks in existing RC bridges. VIPERC Vincenzo Mario Di Mucci, Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, Vito Renò, Giuseppina Uva
2024	J	`jnl`	Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence. J. Intell. Manuf. Angelo Cardellicchio, Massimiliano Nitti, Cosimo Patruno, Nicola Mosca, Maria di Summa, Ettore Stella, Vito Renò
2024	C	`conf`	Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging. ICPRAM Udith Krishnan Vadakkum Vadukkal, Angelo Cardellicchio, Nicola Mosca, Maria di Summa, Massimiliano Nitti, Ettore Stella, Vito Renò
2024	—	`conf`	Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations. CASE Firozeh Solimani, Angelo Cardellicchio, Giovanni Dimauro, Alba Mininni, Maria Calabritto, Roberto Di Biase, Angelo Petrozza, Stephan Summerer, Francesco Cellini, Vito Renò
2024	—	`conf`	Integrating Deep Learning Based Anomaly Detection with Extended Reality: A Case Study on Extensive Railways Monitoring. MetroXRAINE Maria di Summa, Angelo Cardellicchio, Nicola Mosca, Marina Ricci, Vito Renò, Udith Krishnan Vadakkum Vadukkal, Ettore Stella
2024	J	`jnl`	Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity. Comput. Electron. Agric. Firozeh Solimani, Angelo Cardellicchio, Giovanni Dimauro, Angelo Petrozza, Stephan Summerer, Francesco Cellini, Vito Renò
2024	J	`jnl`	Patch-based probabilistic identification of plant roots using convolutional neural networks. Pattern Recognit. Lett. Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, Stephan Summerer, Vito Renò
2024	J	`jnl`	Virtual and Augmented Reality Monitoring and Planning System. ERCIM News Maria di Summa, Nicola Mosca, Angelo Cardellicchio
2023	J	`jnl`	A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping. Inf. Firozeh Solimani, Angelo Cardellicchio, Massimiliano Nitti, Alfred Lako, Giovanni Dimauro, Vito Renò
2023	J	`jnl`	Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors. Comput. Electron. Agric. Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, Angelo Petrozza, Stephan Summerer, Francesco Cellini, Vito Renò
2022	—	`conf`	Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges. ICIAP Workshops (1) Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, Cosimo Patruno, Giuseppina Uva, Vito Renò
2022	J	`jnl`	View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings. Data Angelo Cardellicchio, Sergio Ruggieri, Valeria Leggieri, Giuseppina Uva
2019	J	`jnl`	PLANE: An Extensible Open Source Framework for modeling the Internet of Drones. CoRR Pietro Boccadoro, Angelo Cardellicchio
2018	—	`conf`	Innovative Methodology for Detecting of Possible Harmful Compounds for Wastewater Treatment the MAUI Project. MetroInd4.0&IoT Massimo Blonda, Angelantonio Calabrese, Angelo Cardellicchio, Barbara Casale, Giuseppe Dentamaro, Vincenzo Di Lecce, Antonietta Dimucci, Cataldo Guaragnella, Diego Matrino, Dian K. Palagachev, Domenico Petruzzelli, Tiziano Politi, Maria Rizzi, Vincenzo Sarcina, Vito Felice Uricchio
2017	—	`conf`	Identification of "Die Hard" Nodes in Complex Networks: A Resilience Approach. WIVACE Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Angelo Cardellicchio, Cataldo Guaragnella
2016	—	`conf`	Comparative Analysis of PRID Algorithms Based on Results Ambiguity Evaluation. ICPRAM (Revised Selected Papers) Vito Renò, Angelo Cardellicchio, Tiziano Politi, Cataldo Guaragnella, Tiziana D'Orazio
2016	C	`conf`	Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification. ICPRAM Vito Renò, Angelo Cardellicchio, Tiziano Politi, Cataldo Guaragnella, Tiziana D'Orazio
2016	B	`conf`	Real time Artificial Auditory Systems for cluttered environments. ICPR Giuseppe Dentamaro, Angelo Cardellicchio, Cataldo Guaragnella
2015	—	`conf`	An Human Perceptive Model for Person Re-identification. VISAPP (1) Angelo Cardellicchio, Tiziana D'Orazio, Tiziano Politi, Vito Renò