An Human Perceptive Model for Person Re-identification. - Angelo Cardellicchio; Tiziana D'Orazio; Tiziano Politi; Vito Renò (VISAPP (1), 2015)

Real time Artificial Auditory Systems for cluttered environments. - Giuseppe Dentamaro; Angelo Cardellicchio; Cataldo Guaragnella (ICPR, 2016)

Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification. - Vito Renò; Angelo Cardellicchio; Tiziano Politi; Cataldo Guaragnella; Tiziana D'Orazio (ICPRAM, 2016)

Comparative Analysis of PRID Algorithms Based on Results Ambiguity Evaluation. - Vito Renò; Angelo Cardellicchio; Tiziano Politi; Cataldo Guaragnella; Tiziana D'Orazio (ICPRAM (Revised Selected Papers), 2016)

Identification of "Die Hard" Nodes in Complex Networks: A Resilience Approach. - Angela Lombardi; Sabina Tangaro; Roberto Bellotti; Angelo Cardellicchio; Cataldo Guaragnella (WIVACE, 2017)

Innovative Methodology for Detecting of Possible Harmful Compounds for Wastewater Treatment the MAUI Project. - 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; et al. (MetroInd4.0&IoT, 2018)

PLANE: An Extensible Open Source Framework for modeling the Internet of Drones. - Pietro Boccadoro; Angelo Cardellicchio (CoRR, 2019)

Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges. - Angelo Cardellicchio; Sergio Ruggieri; Andrea Nettis; Cosimo Patruno; Giuseppina Uva; Vito Renò (ICIAP Workshops (1), 2022)

View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings. - Angelo Cardellicchio; Sergio Ruggieri; Valeria Leggieri; Giuseppina Uva (Data, 2022)

Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors. - Angelo Cardellicchio; Firozeh Solimani; Giovanni Dimauro; Angelo Petrozza; Stephan Summerer; Francesco Cellini; Vito Renò (Comput. Electron. Agric., 2023)

A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping. - Firozeh Solimani; Angelo Cardellicchio; Massimiliano Nitti; Alfred Lako; Giovanni Dimauro; Vito Renò (Inf., 2023)

Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations. - Firozeh Solimani; Angelo Cardellicchio; Giovanni Dimauro; Alba Mininni; Maria Calabritto; Roberto Di Biase; Angelo Petrozza; Stephan Summerer; Francesco Cellini; Vito Renò (CASE, 2024)

Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging. - Udith Krishnan Vadakkum Vadukkal; Angelo Cardellicchio; Nicola Mosca; Maria di Summa; Massimiliano Nitti; Ettore Stella; Vito Renò (ICPRAM, 2024)

Integrating Deep Learning Based Anomaly Detection with Extended Reality: A Case Study on Extensive Railways Monitoring. - Maria di Summa; Angelo Cardellicchio; Nicola Mosca; Marina Ricci; Vito Renò; Udith Krishnan Vadakkum Vadukkal; Ettore Stella (MetroXRAINE, 2024)

A new methodology to automatically detect cracks in existing RC bridges. - Vincenzo Mario Di Mucci; Angelo Cardellicchio; Sergio Ruggieri; Andrea Nettis; Vito Renò; Giuseppina Uva (VIPERC, 2024)

A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms. - Adriano Liso; Angelo Cardellicchio; Cosimo Patruno; Massimiliano Nitti; Pierfrancesco Ardino; Ettore Stella; Vito Renò (IEEE Access, 2024)

Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity. - Firozeh Solimani; Angelo Cardellicchio; Giovanni Dimauro; Angelo Petrozza; Stephan Summerer; Francesco Cellini; Vito Renò (Comput. Electron. Agric., 2024)

Virtual and Augmented Reality Monitoring and Planning System. - Maria di Summa; Nicola Mosca; Angelo Cardellicchio (ERCIM News, 2024)

Patch-based probabilistic identification of plant roots using convolutional neural networks. - Angelo Cardellicchio; Firozeh Solimani; Giovanni Dimauro; Stephan Summerer; Vito Renò (Pattern Recognit. Lett., 2024)

Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence. - Angelo Cardellicchio; Massimiliano Nitti; Cosimo Patruno; Nicola Mosca; Maria di Summa; Ettore Stella; Vito Renò (J. Intell. Manuf., 2024)

A Deep Learning-Based Probabilistic Approach for Non-Destructive Testing of Aircraft Components Using Laser Ultrasonic Data. - Adriano Liso; Cosimo Patruno; Angelo Cardellicchio; Pierfrancesco Ardino; Nicola Gallo; Giuseppe del Prete; Valerio Dentico; Veronica Vespini; Sara Coppola; Pietro Ferraro; Vito Renò (IEEE Access, 2025)

Using Attention for Improving Defect Detection in Existing RC Bridges. - Sergio Ruggieri; Angelo Cardellicchio; Andrea Nettis; Vito Renò; Giuseppina Uva (IEEE Access, 2025)