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Gabriele Cavallaro
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- affiliation: Jülich Supercomputing Centre, Germany
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2020 – today
- 2024
- [j24]Joseph Arnold Xavier
, Juan Pedro Gutiérrez H. Muriedas, Stepan Nassyr, Rocco Sedona
Vectorized Highly Parallel Density-Based Clustering for Applications With Noise. IEEE Access 12: 181679-181692 (2024) - [j23]Amer Delilbasic
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) - [j22]Edoardo Pasetto
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3262-3269 (2024) - [j21]Surbhi Sharma
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) - [j20]Sergio Moreno-Álvarez
Enhancing Distributed Neural Network Training Through Node-Based Communications. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17893-17907 (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 - [i5]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) - [i4]Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira, João Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, Srija Chakraborty, Sizhe Wang, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Trevor Keenan, Paulo Arevalo, Wenwen Li, Hamed Alemohammad, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, Gabriele Cavallaro, Campbell D. Watson, Manil Maskey, Rahul Ramachandran, Juan Bernabé-Moreno:
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. CoRR abs/2412.02732 (2024) - 2023
- [j19]Rocco Sedona, Claudia Paris
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
Deep-Learning-Based 3-D Surface Reconstruction - A Survey. Proc. IEEE 111(11): 1464-1501 (2023) - [c37]Liang Tian, Rocco Sedona, Amirpasha Mozaffari
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
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
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
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
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
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
Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. IGARSS 2022: 2726-2729 - [c31]Gabriele Cavallaro
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
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
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
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
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
Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications. IGARSS 2021: 1583-1586 - [c25]Amer Delilbasic, Gabriele Cavallaro
Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification. IGARSS 2021: 2608-2611 - [c24]Morris Riedel, Rocco Sedona, Chadi Barakat
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
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
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
Scaling Up a Multispectral Resnet-50 to 128 GPUs. IGARSS 2020: 1058-1061 - [c19]Gabriele Cavallaro, Dennis Willsch
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
Remote Sensing Big Data Classification with High Performance Distributed Deep Learning. Remote. Sens. 11(24): 3056 (2019) - [j12]Juan Mario Haut
Cloud Deep Networks for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 57(12): 9832-9848 (2019) - [c18]Gabriele Cavallaro
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
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
Automated Analysis of Remotely Sensed Images Using the Unicore Workflow Management System. IGARSS 2018: 1128-1131 - [c15]Ernir Erlingsson, Gabriele Cavallaro
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
Modular supercomputing design supporting machine learning applications. MIPRO 2018: 159-163 - 2017
- [j10]Gabriele Cavallaro
Automatic Attribute Profiles. IEEE Trans. Image Process. 26(4): 1859-1872 (2017) - [c12]Gabriele Cavallaro, Mauro Dalla Mura
Tree-based supervised feature extraction method based on self-dual attribute profiles. IGARSS 2017: 775-778 - [c11]M. Shahbaz Memon, Gabriele Cavallaro
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
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
Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis. IGARSS 2016: 3374-3377 - [c9]Gabriele Cavallaro
Region-based classification of remote sensing images with the morphological tree of shapes. IGARSS 2016: 5087-5090 - [p1]Gabriele Cavallaro
Analyzing Remote Sensing Images with Hierarchial Morphological Representations. Handbook of Pattern Recognition and Computer Vision 2016: 313-330 - 2015
- [j8]Gabriele Cavallaro
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 12(8): 1690-1694 (2015) - [j7]Gabriele Cavallaro
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
On Scalable Data Mining Techniques for Earth Science. ICCS 2015: 2188-2197 - [c7]Gabriele Cavallaro, Morris Riedel
Scalable developments for big data analytics in remote sensing. IGARSS 2015: 1366-1369 - [c6]Pedram Ghamisi, Dan Wu, Gabriele Cavallaro
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
Automatic morphological attribute profiles. IGARSS 2015: 2604-2607 - [c4]Gabriele Cavallaro
Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions. ISMM 2015: 169-181 - [c3]Gabriele Cavallaro
Processing high resolution images of urban areas with self-dual attribute filters. JURSE 2015: 1-4 - 2014
- [j6]Pedram Ghamisi, Jón Atli Benediktsson
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
A comparison of self-dual attribute profiles based on different filter rules for classification. IGARSS 2014: 1265-1268 - [c1]Gabriele Cavallaro
Smart data analytics methods for remote sensing applications. IGARSS 2014: 1405-1408 - 2013
- [j5]Claudia Andreini
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
MetalPDB: a database of metal sites in biological macromolecular structures. Nucleic Acids Res. 41(Database-Issue): 312-319 (2013) - 2012
- [j3]Claudia Andreini
FindGeo: a tool for determining metal coordination geometry. Bioinform. 28(12): 1658-1660 (2012) - 2011
- [j2]Claudia Andreini
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
Metal-MACiE: a database of metals involved in biological catalysis. Bioinform. 25(16): 2088-2089 (2009)
Coauthor Index
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