Heterogeneous Information Integration for Mountain Augmented Reality Mobile Apps. - Darian Frajberg; Piero Fraternali; Rocio Nahime Torres (DSAA, 2017)

Convolutional Neural Network for Pixel-Wise Skyline Detection. - Darian Frajberg; Piero Fraternali; Rocio Nahime Torres (ICANN (2), 2017)

ALMOsT-Trace: A Web Based Embeddable Tracing Tool for ALMOsT.js. - Rocio Nahime Torres; Carlo Bernaschina (ICWE, 2017)

A Deep Learning Model for Identifying Mountain Summits in Digital Elevation Model Data. - Rocio Nahime Torres; Piero Fraternali; Federico Milani; Darian Frajberg (AIKE, 2018)

Crowdsourcing Landforms for Open GIS Enrichment. - Rocio Nahime Torres; Darian Frajberg; Piero Fraternali; Sergio Luis Herrera Gonzales (DSAA, 2018)

Algorithms for mountain peaks discovery: a comparison. - Rocio Nahime Torres; Federico Milani; Piero Fraternali (SAC, 2019)

A Testing Framework for Multi-SensorMobile Applications. - Darian Frajberg; Piero Fraternali; Rocio Nahime Torres; Carlo Bernaschina; Roman Fedorov 001 (J. Mobile Multimedia, 2019)

ODIN: An Object Detection and Instance Segmentation Diagnosis Framework. - Rocio Nahime Torres; Piero Fraternali; Jesus Romero (ECCV Workshops (6), 2020)

On the Use of Class Activation Maps in Remote Sensing: the case of Illegal Landfills. - Rocio Nahime Torres; Piero Fraternali; Andrea Biscontini (DSAA, 2021)

ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization. - Rocio Nahime Torres; Federico Milani; Piero Fraternali (LOD, 2021)

Learning to Identify Illegal Landfills through Scene Classification in Aerial Images. - Rocio Nahime Torres; Piero Fraternali (Remote. Sens., 2021)

ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications. - Niccolò Zangrando; Piero Fraternali; Rocio Nahime Torres; Marco Petri; Nicolò Oreste Pinciroli Vago; Sergio Herrera (AALTD@ECML/PKDD, 2022)

Black-box error diagnosis in deep neural networks: a survey of tools. - Piero Fraternali; Federico Milani; Rocio Nahime Torres; Niccolò Zangrando (CoRR, 2022)

Analysis of geographic data for environmental monitoring. - Rocio Nahime Torres (2022)

AerialWaste. - Rocio Nahime Torres; Piero Fraternali (Zenodo, 2022)

Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools. - Piero Fraternali; Federico Milani; Rocio Nahime Torres; Niccolò Zangrando (Neural Comput. Appl., 2023)

AerialWaste. - Rocio Nahime Torres; Piero Fraternali (Zenodo, 2023)

AerialWaste. - Rocio Nahime Torres; Piero Fraternali (Zenodo, 2024)