| Learning to identify illegal landfills through scene classification in aerial images RN Torres, P Fraternali Remote Sensing 13 (22), 4520, 2021 | 22 | 2021 |
| Convolutional neural network for pixel-wise skyline detection D Frajberg, P Fraternali, RN Torres Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 17 | 2017 |
| A deep learning model for identifying mountain summits in digital elevation model data RN Torres, P Fraternali, F Milani, D Frajberg 2018 IEEE First International Conference on Artificial Intelligence and …, 2018 | 14 | 2018 |
| ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization RN Torres, F Milani, P Fraternali International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 11 | 2021 |
| Heterogeneous information integration for mountain augmented reality mobile apps D Frajberg, P Fraternali, RN Torres 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 11 | 2017 |
| Improving mockup-based requirement specification with end-user annotations M Urbieta, N Torres, JM Rivero, G Rossi, FJ Dominguez-Mayo Agile Processes in Software Engineering and Extreme Programming: 19th …, 2018 | 10 | 2018 |
| ODIN: an Object Detection and Instance Segmentation Diagnosis Framework JR Rocio Nahime Torres, Piero Fraternali European Conference on Computer Vision (ECCV), 2020 | 8* | 2020 |
| Mountain summit detection with Deep Learning: evaluation and comparison with heuristic methods RN Torres, P Fraternali, F Milani, D Frajberg Applied Geomatics 12, 225-246, 2020 | 7 | 2020 |
| Atesting framework for multi-sensor mobile applications D Frajberg, P Fraternali, RN Torres, C Bernaschina, R Fedorov Journal of Mobile Multimedia, 1–28-1–28, 2019 | 6 | 2019 |
| Algorithms for mountain peaks discovery: a comparison RN Torres, F Milani, P Fraternali Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 667-674, 2019 | 5 | 2019 |
| Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools P Fraternali, F Milani, RN Torres, N Zangrando Neural Computing and Applications 35 (4), 3041-3062, 2023 | 3 | 2023 |
| Crowdsourcing landforms for open GIS enrichment RN Torres, D Frajberg, P Fraternali, SLH Gonzales 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 3 | 2018 |
| On the use of class activation maps in remote sensing: the case of illegal landfills RN Torres, P Fraternali, A Biscontini 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 2 | 2021 |
| Odin ts: a tool for the black-box evaluation of time series analytics N Zangrando, RN Torres, F Milani, P Fraternali Engineering Proceedings 18 (1), 4, 2022 | 1 | 2022 |
| Analysis of geographic data for environmental monitoring RN Torres | 1 | 2022 |
| Black-box error diagnosis in deep neural networks: a survey of tools P Fraternali, F Milani, R Nahime Torres, N Zangrando, ... CoRR, 2022 | 1 | 2022 |
| Automatic feature extraction to support Mountains Mapping in OSM RN Torres, P Fraternali, F Milani, D Frajberg Editors, 31, 2019 | 1 | 2019 |
| ALMOsT-Trace: A Web Based Embeddable Tracing Tool for ALMOsT. js RN Torres, C Bernaschina Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June …, 2017 | 1 | 2017 |
| AerialWaste dataset for landfill discovery in aerial and satellite images RN Torres, P Fraternali Scientific Data 10 (1), 63, 2023 | | 2023 |
| ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications N Zangrando, P Fraternali, RN Torres, M Petri, NO Pinciroli Vago, ... International Workshop on Advanced Analytics and Learning on Temporal Data …, 2022 | | 2022 |
