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2020 – today
- 2024
[j13]Antonio Nappa
, Marco Quartulli, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Michele Staiano, Roberta Siciliano:
Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture. Ecol. Informatics 82: 102723 (2024)- [c23]Julen Cestero, Marco Quartulli, Marcello Restelli:
Building Surrogate Models Using Trajectories of Agents Trained by Reinforcement Learning. ICANN (4) 2024: 340-355 - [c22]Adriano Ettari, Antonio Nappa, Marco Quartulli, Izar Azpiroz, Giuseppe Longo:
Adaptation of Diffusion Models for Remote Sensing Imagery. IGARSS 2024: 7240-7243 - [c21]Mikel de la Fuente, Paula Gonzalez, Izar Azpiroz, Mikel Maiza, Nagore Barrena, Marco Quartulli:
Pixel-Level Quality Indicator for Image Data Annotation. IGARSS 2024: 7492-7496 - 2023
- [j12]Igor García Olaizola, Jan Lukas Bruse, Juan Odriozola, Arkaitz Artetxe, David Velásquez, Marco Quartulli, Jorge Posada:
Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing. IEEE Computer Graphics and Applications 43(1): 53-64 (2023) - [j11]Urtzi Otamendi, Iñigo Martinez, Igor García Olaizola, Marco Quartulli:
A Scalable Framework for Annotating Photovoltaic Cell Defects in Electroluminescence Images. IEEE Trans. Ind. Informatics 19(9): 9361-9369 (2023) - [c20]Pietro Soglia, Paula Gonzalez, Izar Azpiroz, Urtzi Otamendi, Marco Quartulli, Sergio Salata:
Estimating NDVI from SAR Images Using Conditional Generative Adversarial Networks. IGARSS 2023: 5222-5225 - 2022
- [j10]Igor G. Olaizola, Marco Quartulli, Elias Unzueta, Juan Goicolea, Julián Flórez:
Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream. Sensors 22(23): 9164 (2022) - [c19]Ander Garcia, Marco Quartulli, Igor G. Olaizola, Iñigo Barandiaran:
Relevance of Visualization and Interaction Technologies for Industry 5.0. I-ESA Workshops 2022 - [c18]Igor García Olaizola, Marco Quartulli, Ander García, Iñigo Barandiaran:
Artificial Intelligence from Industry 5.0 perspective: Is the Technology Ready to Meet the Challenge? I-ESA Workshops 2022 - [c17]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Integrating Pre-Processing Pipelines in ODC Based Framework. IGARSS 2022: 4094-4097 - [c16]Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Methodology for Online Phenology Prediction Service Creation. IGARSS 2022: 5917-5920 - [c15]Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli:
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. IJCNN 2022: 1-9 - [i8]Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli:
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. CoRR abs/2207.03851 (2022) - [i7]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Francisco J. Perez, David Alda, Xabier Garitano:
Geo-imagery management and statistical processing in a regional context using Open Data Cube. CoRR abs/2210.01470 (2022) - [i6]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Integrating pre-processing pipelines in ODC based framework. CoRR abs/2210.01528 (2022) - [i5]Urtzi Otamendi, Iñigo Martinez, Igor G. Olaizola, Marco Quartulli:
A scalable framework for annotating photovoltaic cell defects in electroluminescence images. CoRR abs/2212.07768 (2022) - 2021
- [j9]Amaia Gil, Marco Quartulli, Igor G. Olaizola, Basilio Sierra:
Towards Smart Data Selection From Time Series Using Statistical Methods. IEEE Access 9: 44390-44401 (2021) - [j8]Izar Azpiroz, Noelia Oses, Marco Quartulli, Igor G. Olaizola, Diego Guidotti, Susanna Marchi:
Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods. Remote. Sens. 13(6): 1224 (2021) - [c14]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Francisco J. Perez, David Alda, Xabier Garitano:
Geo-Imagery Management and Statistical Processing in a Regional Context Using Open Data Cube. IGARSS 2021: 5676-5679 - [i4]Urtzi Otamendi, Iñigo Martinez, Marco Quartulli, Igor G. Olaizola, Elisabeth Viles, Werther Cambarau:
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules. CoRR abs/2106.10962 (2021) - 2020
- [j7]Noelia Oses, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Marco Quartulli, Igor G. Olaizola:
Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction. Sensors 20(21): 6381 (2020) - [c13]Noelia Oses, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Susanna Marchi, Diego Guidotti:
Machine Learning for olive phenology prediction and base temperature optimisation. GIoTS 2020: 1-6
2010 – 2019
- 2019
- [c12]Noelia Oses, Aritz Legarretaetxebarria, Marco Quartulli, Igor G. Olaizola, Mikel Serrano:
Determining input variable ranges given a trained regression model and an output range. INDIN 2019: 245-252 - [i3]Noelia Oses, Aritz Legarretaetxebarria, Marco Quartulli, Igor García, Mikel Serrano:
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. CoRR abs/1904.02655 (2019) - 2018
- [j6]Ángel Martín, Jon Egana, Julián Flórez, Jon Montalban, Igor G. Olaizola, Marco Quartulli, Roberto Viola, Mikel Zorrilla:
Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks. IEEE Trans. Broadcast. 64(2): 561-574 (2018) - 2016
- [c11]Gorka Vélez, Marco Quartulli, Ángel Martín, Oihana Otaegui, Haytham Assem:
Machine Learning for Autonomic Network Management in a Connected Cars Scenario. Nets4Cars/Nets4Trains/Nets4Aircraft 2016: 111-120 - 2015
- [j5]Javier Lozano Silva, Naiara Aginako, Marco Quartulli, Igor G. Olaizola, Ekaitz Zulueta Guerrero:
Web-Based Supervised Thematic Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 2165-2176 (2015) - [c10]Dejan Vinkovic, Marco Quartulli:
BIG-SKY-EARTH: Reinforcing the bridge between astro- and geo-informatics. IGARSS 2015: 1480-1483 - [c9]Luigi Mascolo, Marco Quartulli, Giovanni Nico, Pietro Guccione, Igor G. Olaizola:
Optimised data structures for large scale content-based geo-indexing. IGARSS 2015: 1488-1491 - [c8]Marco Quartulli, Javier Lozano, Igor G. Olaizola:
Beyond the lambda architecture: Effective scheduling for large scale EO information mining and interactive thematic mapping. IGARSS 2015: 1492-1495 - [c7]Javier Lozano, Naiara Aginako, Marco Quartulli, Igor G. Olaizola, Ekaitz Zulueta Guerrero, Pedro M. Iriondo:
Large scale thematic mapping by supervised machine learning on 'big data' distributed cluster computing frameworks. IGARSS 2015: 1504-1507 - [c6]Jon Arocena, Javier Lozano, Marco Quartulli, Igor G. Olaizola, Jesús Bermúdez:
Linked open data for raster and vector geospatial information processing. IGARSS 2015: 5023-5026 - [i2]Luigi Mascolo, Marco Quartulli, Pietro Guccione, Giovanni Nico, Igor G. Olaizola:
Distributed mining of large scale remote sensing image archives on public computing infrastructures. CoRR abs/1501.05286 (2015) - 2014
- [j4]Igor G. Olaizola, Marco Quartulli, Julián Flórez, Basilio Sierra:
Trace Transform Based Method for Color Image Domain Identification. IEEE Trans. Multim. 16(3): 679-685 (2014) - [c5]Naiara Aginako, Javier Lozano, Marco Quartulli, Basilio Sierra, Igor G. Olaizola:
Identification of plant species on large botanical image datasets. EMR@ICMR 2014: 38-44 - 2012
- [c4]Daniela Espinoza-Molina, Marco Quartulli, Mihai Datcu:
Query by example in Earth-Observation image archive using data compression-based approach. IGARSS 2012: 6035-6038 - [i1]Marco Quartulli, Igor G. Olaizola:
A review of EO Mining. CoRR abs/1203.0747 (2012)
2000 – 2009
- 2007
- [c3]Serena Avolio, Luca Galli, Davide Passaro, Marco Quartulli, Manuela Sagona, Giusy Sinatra, Carlo Zelli:
Integrating point, curve and area descriptors into geospatial databases for metric resolution SAR image analysis. IGARSS 2007: 3874-3877 - 2005
- [b1]Marco Quartulli:
Hierarchical Bayesian analysis of high complexity data for the inversion of metric InSAR in urban environments. Siegen University, Germany, 2005 - 2004
- [j3]Marco Quartulli, Mihai Datcu:
Stochastic geometrical modeling for built-up area understanding from a single SAR intensity image with meter resolution. IEEE Trans. Geosci. Remote. Sens. 42(9): 1996-2003 (2004) - 2003
- [j2]Marco Quartulli, Mihai Datcu:
Information fusion for scene understanding from interferometric SAR data in urban environments. IEEE Trans. Geosci. Remote. Sens. 41(9): 1976-1985 (2003) - [j1]Mihai Datcu, Herbert Daschiel, Andrea Pelizzari, Marco Quartulli, Annalisa Galoppo, Andrea Colapicchioni, Marco Pastori, Klaus Seidel, Pier Giorgio Marchetti, Sergio d'Elia:
Information mining in remote sensing image archives: system concepts. IEEE Trans. Geosci. Remote. Sens. 41(12): 2923-2936 (2003) - [c2]Marco Quartulli, Mihai Datcu:
Stochastic modelling for structure reconstruction from high-resolution SAR data. IGARSS 2003: 4080-4082 - 2002
- [c1]Frédéric Adragna, Mihai Datcu, Irena Hajnsek, Jordi Inglada, Kostas Papathanassiou, David Petit, Marco Quartulli, Jean-Claude Souyris:
Information extraction from high resolution SAR data. EUSIPCO 2002: 1-4
Coauthor Index
aka: Igor García Olaizola
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last updated on 2024-10-07 22:19 CEST by the dblp team
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