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ORCIDGabriele Cavallaro
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- affiliation: Jülich Supercomputing Centre, Germany
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2020 – today
- 2024
[j22]Amer Delilbasic
, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro:
A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1434-1445 (2024)- [j21]Edoardo Pasetto, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro:
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3262-3269 (2024) - [j20]Surbhi Sharma, Rocco Sedona, Morris Riedel, Gabriele Cavallaro, Claudia Paris:
Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13893-13907 (2024) - [c41]Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro:
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning. IGARSS 2024: 432-436 - [c40]Raktim Ghosh, Amer Delilbasic, Gabriele Cavallaro, Francesca Bovolo:
A CNN Architecture Tailored For Quantum Feature Map-Based Radar Sounder Signal Segmentation. IGARSS 2024: 442-445 - [c39]Surbhi Sharma, Rocco Sedona, Morris Riedel, Gabriele Cavallaro, Claudia Paris:
Enhancing Land Cover Mapping: A Novel Automatic Approach To Improve Mixed Spectral Pixel Classification. IGARSS 2024: 1017-1020 - [c38]Liang Tian, Naveed Akram, Rocco Sedona, Nikos Savva, Morris Riedel, Gabriele Cavallaro, Eric Verschuur:
Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps. IGARSS 2024: 4624-4627 - [i4]Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello:
Local Binary and Multiclass SVMs Trained on a Quantum Annealer. CoRR abs/2403.08584 (2024) - 2023
- [j19]Rocco Sedona, Claudia Paris, Jan Ebert, Morris Riedel, Gabriele Cavallaro:
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j18]Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit:
Deep-Learning-Based 3-D Surface Reconstruction - A Survey. Proc. IEEE 111(11): 1464-1501 (2023) - [c37]Liang Tian, Rocco Sedona, Amirpasha Mozaffari, Enxhi Kreshpa, Claudia Paris, Morris Riedel, Martin G. Schultz, Gabriele Cavallaro:
End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing. IGARSS 2023: 711-714 - [c36]Edoardo Pasetto, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro:
Adiabatic Quantum Kitchen Sinks with Parallel Annealing for Remote Sensing Regression Problems. IGARSS 2023: 784-787 - [c35]Rocco Sedona, Jan Ebert, Claudia Paris, Morris Riedel, Gabriele Cavallaro:
Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping. IGARSS 2023: 5411-5414 - [e2]Hao Li, Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i3]Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro:
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification. CoRR abs/2303.11705 (2023) - 2022
- [j17]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Gabriele Cavallaro, Juan A. Rico-Gallego, Juan Mario Haut:
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j16]Edoardo Pasetto, Morris Riedel, Farid Melgani, Kristel Michielsen, Gabriele Cavallaro:
Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j15]Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jón Atli Benediktsson:
Predicting Classification Performance for Benchmark Hyperspectral Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4180-4193 (2022) - [c34]Rocco Sedona, Claudia Paris, Liang Tian, Morris Riedel, Gabriele Cavallaro:
An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory. IGARSS 2022: 203-206 - [c33]Marcel Aach, Rocco Sedona, Andreas Lintermann, Gabriele Cavallaro, Helmut Neukirchen, Morris Riedel:
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification. IGARSS 2022: 263-266 - [c32]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Gabriele Cavallaro, Juan Mario Haut:
Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. IGARSS 2022: 2726-2729 - [c31]Gabriele Cavallaro, Morris Riedel, Thomas Lippert, Kristel Michielsen:
Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Julich Unified Infrastructure for Quantum Computing. IGARSS 2022: 4149-4152 - [c30]Edoardo Pasetto, Amer Delilbasic, Gabriele Cavallaro, Madita Willsch, Farid Melgani, Morris Riedel, Kristel Michielsen:
Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing. IGARSS 2022: 4903-4906 - [c29]Surbhi Sharma, Ribana Roscher, Morris Riedel, M. Shahbaz Memon, Gabriele Cavallaro:
Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning. IGARSS 2022: 5061-5064 - [c28]Morris Riedel, Matthias Book, Helmut Neukirchen, Gabriele Cavallaro, Andreas Lintermann:
Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications. MIPRO 2022: 281-286 - 2021
- [j14]Rocco Sedona, Claudia Paris, Gabriele Cavallaro, Lorenzo Bruzzone, Morris Riedel:
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10134-10146 (2021) - [c27]Morris Riedel, Gabriele Cavallaro, Jón Atli Benediktsson:
Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing. IGARSS 2021: 1571-1574 - [c26]Rocco Sedona, Gabriele Cavallaro, Morris Riedel, Matthias Book:
Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications. IGARSS 2021: 1583-1586 - [c25]Amer Delilbasic, Gabriele Cavallaro, Madita Willsch, Farid Melgani, Morris Riedel, Kristel Michielsen:
Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification. IGARSS 2021: 2608-2611 - [c24]Morris Riedel, Rocco Sedona, Chadi Barakat, Pétur Helgi Einarsson, Reza Hassanian, Gabriele Cavallaro, Matthias Book, Helmut Neukirchen, Andreas Lintermann:
Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures. IPDPS Workshops 2021: 76-85 - [c23]Chadi Barakat, Morris Riedel, Sigurður Brynjólfsson, Gabriele Cavallaro, J. Busch, Rocco Sedona:
Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders. MIPRO 2021: 248-253 - [c22]Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. ISC Workshops 2021: 453-468 - [e1]Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle:
GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, Virtual Event / Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9123-8 [contents] - [i2]Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. CoRR abs/2108.11976 (2021) - 2020
- [c21]Run Zhang, Gabriele Cavallaro, Jenia Jitsev:
Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning. IGARSS 2020: 617-620 - [c20]Rocco Sedona, Gabriele Cavallaro, Jenia Jitsev, Alexandre Strube, Morris Riedel, Matthias Book:
Scaling Up a Multispectral Resnet-50 to 128 GPUs. IGARSS 2020: 1058-1061 - [c19]Gabriele Cavallaro, Dennis Willsch, Madita Willsch, Kristel Michielsen, Morris Riedel:
Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer. IGARSS 2020: 1973-1976
2010 – 2019
- 2019
- [j13]Rocco Sedona, Gabriele Cavallaro, Jenia Jitsev, Alexandre Strube, Morris Riedel, Jón Atli Benediktsson:
Remote Sensing Big Data Classification with High Performance Distributed Deep Learning. Remote. Sens. 11(24): 3056 (2019) - [j12]Juan Mario Haut, José Antonio Gallardo Jaramago, Mercedes Eugenia Paoletti, Gabriele Cavallaro, Javier Plaza, Antonio Plaza, Morris Riedel:
Cloud Deep Networks for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 57(12): 9832-9848 (2019) - [c18]Gabriele Cavallaro, Yakoub Bazi, Farid Melgani, Morris Riedel:
Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images. IGARSS 2019: 875-878 - [c17]Ernir Erlingsson, Gabriele Cavallaro, Helmut Neukirchen, Morris Riedel:
Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing Architecture. IGARSS 2019: 5905-5908 - 2018
- [j11]Markus Götz, Gabriele Cavallaro, Thierry Géraud, Matthias Book, Morris Riedel:
Parallel Computation of Component Trees on Distributed Memory Machines. IEEE Trans. Parallel Distributed Syst. 29(11): 2582-2598 (2018) - [c16]M. Shahbaz Memon, Gabriele Cavallaro, Björn Hagemeier, Morris Riedel, Helmut Neukirchen:
Automated Analysis of Remotely Sensed Images Using the Unicore Workflow Management System. IGARSS 2018: 1128-1131 - [c15]Ernir Erlingsson, Gabriele Cavallaro, Morris Riedel, Helmut Neukirchen:
Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images. IGARSS 2018: 1792-1795 - [c14]Julius Lange, Gabriele Cavallaro, Markus Götz, Ernir Erlingsson, Morris Riedel:
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks. IGARSS 2018: 2087-2090 - [c13]Ernir Erlingsson, Gabriele Cavallaro, Andreas Galonska, Morris Riedel, Helmut Neukirchen:
Modular supercomputing design supporting machine learning applications. MIPRO 2018: 159-163 - 2017
- [j10]Gabriele Cavallaro, Nicola Falco, Mauro Dalla Mura, Jón Atli Benediktsson:
Automatic Attribute Profiles. IEEE Trans. Image Process. 26(4): 1859-1872 (2017) - [c12]Gabriele Cavallaro, Mauro Dalla Mura, Morris Riedel, Jón Atli Benediktsson:
Tree-based supervised feature extraction method based on self-dual attribute profiles. IGARSS 2017: 775-778 - [c11]M. Shahbaz Memon, Gabriele Cavallaro, Morris Riedel, Helmut Neukirchen:
Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models. IGARSS 2017: 3680-3683 - [i1]Pedram Ghamisi, Gabriele Cavallaro, Dan Wu, Jón Atli Benediktsson, Antonio Plaza:
Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study. CoRR abs/1707.02642 (2017) - 2016
- [j9]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson, Antonio J. Plaza:
Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes. IEEE Trans. Geosci. Remote. Sens. 54(7): 3899-3911 (2016) - [c10]Nicola Falco, Gabriele Cavallaro, Prashanth Reddy Marpu, Jón Atli Benediktsson:
Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis. IGARSS 2016: 3374-3377 - [c9]Gabriele Cavallaro, Mauro Dalla Mura, Edwin Carlinet, Thierry Géraud, Nicola Falco, Jón Atli Benediktsson:
Region-based classification of remote sensing images with the morphological tree of shapes. IGARSS 2016: 5087-5090 - [p1]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson:
Analyzing Remote Sensing Images with Hierarchial Morphological Representations. Handbook of Pattern Recognition and Computer Vision 2016: 313-330 - 2015
- [j8]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 12(8): 1690-1694 (2015) - [j7]Gabriele Cavallaro, Morris Riedel, Matthias Richerzhagen, Jón Atli Benediktsson, Antonio Plaza:
On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(10): 4634-4646 (2015) - [c8]Markus Götz, Matthias Richerzhagen, Christian Bodenstein, Gabriele Cavallaro, Philipp Glock, Morris Riedel, Jón Atli Benediktsson:
On Scalable Data Mining Techniques for Earth Science. ICCS 2015: 2188-2197 - [c7]Gabriele Cavallaro, Morris Riedel, Christian Bodenstein, Philipp Glock, Matthias Richerzhagen, Markus Götz, Jón Atli Benediktsson:
Scalable developments for big data analytics in remote sensing. IGARSS 2015: 1366-1369 - [c6]Pedram Ghamisi, Dan Wu, Gabriele Cavallaro, Jón Atli Benediktsson, Stuart R. Phinn, Nicola Falco:
An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia. IGARSS 2015: 2354-2357 - [c5]Gabriele Cavallaro, Mauro Dalla Mura, Nicola Falco, Jón Atli Benediktsson:
Automatic morphological attribute profiles. IGARSS 2015: 2604-2607 - [c4]Gabriele Cavallaro, Nicola Falco, Mauro Dalla Mura, Lorenzo Bruzzone, Jón Atli Benediktsson:
Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions. ISMM 2015: 169-181 - [c3]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson:
Processing high resolution images of urban areas with self-dual attribute filters. JURSE 2015: 1-4 - 2014
- [j6]Pedram Ghamisi, Jón Atli Benediktsson, Gabriele Cavallaro, Antonio Plaza:
Automatic Framework for Spectral-Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2147-2160 (2014) - [c2]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
A comparison of self-dual attribute profiles based on different filter rules for classification. IGARSS 2014: 1265-1268 - [c1]Gabriele Cavallaro, Morris Riedel, Jón Atli Benediktsson, Markus Götz, Tomas Runarsson, Kristjan Jonasson, Thomas Lippert:
Smart data analytics methods for remote sensing applications. IGARSS 2014: 1405-1408 - 2013
- [j5]Claudia Andreini, Gabriele Cavallaro, Antonio Rosato, Yana Valasatava:
MetalS2: A Tool for the Structural Alignment of Minimal Functional Sites in Metal-Binding Proteins and Nucleic Acids. J. Chem. Inf. Model. 53(11): 3064-3075 (2013) - [j4]Claudia Andreini, Gabriele Cavallaro, Serena Lorenzini, Antonio Rosato:
MetalPDB: a database of metal sites in biological macromolecular structures. Nucleic Acids Res. 41(Database-Issue): 312-319 (2013) - 2012
- [j3]Claudia Andreini, Gabriele Cavallaro, Serena Lorenzini:
FindGeo: a tool for determining metal coordination geometry. Bioinform. 28(12): 1658-1660 (2012) - 2011
- [j2]Claudia Andreini, Ivano Bertini, Gabriele Cavallaro, Leonardo Decaria, Antonio Rosato:
A Simple Protocol for the Comparative Analysis of the Structure and Occurrence of Biochemical Pathways Across Superkingdoms. J. Chem. Inf. Model. 51(3): 730-738 (2011)
2000 – 2009
- 2009
- [j1]Claudia Andreini, Ivano Bertini, Gabriele Cavallaro, Gemma L. Holliday, Janet M. Thornton:
Metal-MACiE: a database of metals involved in biological catalysis. Bioinform. 25(16): 2088-2089 (2009)
Coauthor Index
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