Information extraction from high resolution SAR data. - Frédéric Adragna; Mihai Datcu; Irena Hajnsek; Jordi Inglada; Kostas Papathanassiou; David Petit; Marco Quartulli; Jean-Claude Souyris (EUSIPCO, 2002)

Stochastic modelling for structure reconstruction from high-resolution SAR data. - Marco Quartulli; Mihai Datcu (IGARSS, 2003)

Information mining in remote sensing image archives: system concepts. - Mihai Datcu; Herbert Daschiel; Andrea Pelizzari; Marco Quartulli; Annalisa Galoppo; Andrea Colapicchioni; Marco Pastori; Klaus Seidel; Pier Giorgio Marchetti; Sergio d'Elia (IEEE Trans. Geosci. Remote. Sens., 2003)

Information fusion for scene understanding from interferometric SAR data in urban environments. - Marco Quartulli; Mihai Datcu (IEEE Trans. Geosci. Remote. Sens., 2003)

Stochastic geometrical modeling for built-up area understanding from a single SAR intensity image with meter resolution. - Marco Quartulli; Mihai Datcu (IEEE Trans. Geosci. Remote. Sens., 2004)

Hierarchical Bayesian analysis of high complexity data for the inversion of metric InSAR in urban environments - Marco Quartulli (2005)

Integrating point, curve and area descriptors into geospatial databases for metric resolution SAR image analysis. - Serena Avolio; Luca Galli; Davide Passaro; Marco Quartulli; Manuela Sagona; Giusy Sinatra; Carlo Zelli (IGARSS, 2007)

Query by example in Earth-Observation image archive using data compression-based approach. - Daniela Espinoza-Molina; Marco Quartulli; Mihai Datcu (IGARSS, 2012)

A review of EO Mining - Marco Quartulli; Igor G. Olaizola (CoRR, 2012)

Identification of plant species on large botanical image datasets. - Naiara Aginako; Javier Lozano 001; Marco Quartulli; Basilio Sierra; Igor G. Olaizola (EMR@ICMR, 2014)

Trace Transform Based Method for Color Image Domain Identification. - Igor G. Olaizola; Marco Quartulli; Julián Flórez 001; Basilio Sierra (IEEE Trans. Multim., 2014)

Linked open data for raster and vector geospatial information processing. - Jon Arocena; Javier Lozano 001; Marco Quartulli; Igor G. Olaizola; Jesús Bermúdez (IGARSS, 2015)

Large scale thematic mapping by supervised machine learning on 'big data' distributed cluster computing frameworks. - Javier Lozano 001; Naiara Aginako; Marco Quartulli; Igor G. Olaizola; Ekaitz Zulueta Guerrero; Pedro M. Iriondo (IGARSS, 2015)

Optimised data structures for large scale content-based geo-indexing. - Luigi Mascolo; Marco Quartulli; Giovanni Nico; Pietro Guccione; Igor G. Olaizola (IGARSS, 2015)

Beyond the lambda architecture: Effective scheduling for large scale EO information mining and interactive thematic mapping. - Marco Quartulli; Javier Lozano 001; Igor G. Olaizola (IGARSS, 2015)

BIG-SKY-EARTH: Reinforcing the bridge between astro- and geo-informatics. - Dejan Vinkovic; Marco Quartulli (IGARSS, 2015)

Distributed mining of large scale remote sensing image archives on public computing infrastructures. - Luigi Mascolo; Marco Quartulli; Pietro Guccione; Giovanni Nico; Igor G. Olaizola (CoRR, 2015)

Web-Based Supervised Thematic Mapping. - Javier Lozano Silva; Naiara Aginako; Marco Quartulli; Igor G. Olaizola; Ekaitz Zulueta Guerrero (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Machine Learning for Autonomic Network Management in a Connected Cars Scenario. - Gorka Vélez; Marco Quartulli; Ángel Martín; Oihana Otaegui; Haytham Assem (Nets4Cars/Nets4Trains/Nets4Aircraft, 2016)

Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks. - Ángel Martín; Jon Egana; Julián Flórez 001; Jon Montalban; Igor G. Olaizola; Marco Quartulli; Roberto Viola; Mikel Zorrilla (IEEE Trans. Broadcast., 2018)

Determining input variable ranges given a trained regression model and an output range. - Noelia Oses; Aritz Legarretaetxebarria; Marco Quartulli; Igor G. Olaizola; Mikel Serrano (INDIN, 2019)

Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range. - Noelia Oses; Aritz Legarretaetxebarria; Marco Quartulli; Igor García; Mikel Serrano (CoRR, 2019)

Machine Learning for olive phenology prediction and base temperature optimisation. - Noelia Oses; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola; Susanna Marchi; Diego Guidotti (GIoTS, 2020)

Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction. - Noelia Oses; Izar Azpiroz; Susanna Marchi; Diego Guidotti; Marco Quartulli; Igor G. Olaizola (Sensors, 2020)

Geo-Imagery Management and Statistical Processing in a Regional Context Using Open Data Cube. - Urtzi Otamendi; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola; Francisco J. Perez; David Alda; Xabier Garitano (IGARSS, 2021)

Towards Smart Data Selection From Time Series Using Statistical Methods. - Amaia Gil; Marco Quartulli; Igor G. Olaizola; Basilio Sierra (IEEE Access, 2021)

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules. - Urtzi Otamendi; Iñigo Martinez; Marco Quartulli; Igor G. Olaizola; Elisabeth Viles; Werther Cambarau (CoRR, 2021)

Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods. - Izar Azpiroz; Noelia Oses; Marco Quartulli; Igor G. Olaizola; Diego Guidotti; Susanna Marchi (Remote. Sens., 2021)

Relevance of Visualization and Interaction Technologies for Industry 5.0. - Ander García; Marco Quartulli; Igor G. Olaizola; Iñigo Barandiaran (I-ESA Workshops, 2022)

Artificial Intelligence from Industry 5.0 perspective: Is the Technology Ready to Meet the Challenge? - Igor García Olaizola; Marco Quartulli; Ander García; Iñigo Barandiaran (I-ESA Workshops, 2022)

Methodology for Online Phenology Prediction Service Creation. - Izar Azpiroz; Marco Quartulli; Igor G. Olaizola (IGARSS, 2022)

Integrating Pre-Processing Pipelines in ODC Based Framework. - Urtzi Otamendi; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola (IGARSS, 2022)

Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. - Julen Cestero; Marco Quartulli; Alberto Maria Metelli; Marcello Restelli (IJCNN, 2022)

Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream. - Igor G. Olaizola; Marco Quartulli; Elias Unzueta; Juan Goicolea; Julián Flórez 001 (Sensors, 2022)

Estimating NDVI from SAR Images Using Conditional Generative Adversarial Networks. - Pietro Soglia; Paula Gonzalez; Izar Azpiroz; Urtzi Otamendi; Marco Quartulli; Sergio Salata (IGARSS, 2023)

Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing. - Igor García Olaizola; Jan Lukas Bruse; Juan Odriozola; Arkaitz Artetxe; David Velásquez 001; Marco Quartulli; Jorge Posada 001 (IEEE Computer Graphics and Applications, 2023)

A Scalable Framework for Annotating Photovoltaic Cell Defects in Electroluminescence Images. - Urtzi Otamendi; Iñigo Martinez; Igor García Olaizola; Marco Quartulli (IEEE Trans. Ind. Informatics, 2023)

Building Surrogate Models Using Trajectories of Agents Trained by Reinforcement Learning. - Julen Cestero; Marco Quartulli; Marcello Restelli (ICANN (4), 2024)

Adaptation of Diffusion Models for Remote Sensing Imagery. - Adriano Ettari; Antonio Nappa; Marco Quartulli; Izar Azpiroz; Giuseppe Longo (IGARSS, 2024)

Pixel-Level Quality Indicator for Image Data Annotation. - Mikel de la Fuente; Paula Gonzalez; Izar Azpiroz; Mikel Maiza; Nagore Barrena; Marco Quartulli (IGARSS, 2024)

Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach. - Urtzi Otamendi; Mikel Maiza; Igor G. Olaizola; Basilio Sierra; Markel Flores; Marco Quartulli (CoRR, 2024)

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture. - Antonio Nappa; Marco Quartulli; Izar Azpiroz; Susanna Marchi; Diego Guidotti; Michele Staiano; Roberta Siciliano (Ecol. Informatics, 2024)

Privacy-Preserving and Personalized AI Modules for E-Commerce Platforms. - Arantzazu Florez Tapia; Izar Azpiroz; Ane M. Florez-Tapia; Amaia Gil; Elena Zotova; Roger Solsona; Igor García Olaizola; Marco Quartulli (EANN (2), 2025)