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ORCIDEdoardo Pasolli
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2020 – today
- 2022
[j20]Renato Giliberti
, Sara Cavaliere, Italia Elisa Mauriello, Danilo Ercolini, Edoardo Pasolli:
Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa. PLoS Comput. Biol. 18(4) (2022)- 2020
- [j19]Salvatore Falanga Bolognesi, Edoardo Pasolli, Oscar Rosario Belfiore, Carlo De Michele, Guido D'Urso:
Harmonized Landsat 8 and Sentinel-2 Time Series Data to Detect Irrigated Areas: An Application in Southern Italy. Remote. Sens. 12(8): 1275 (2020) - [j18]Zhou Zhang, Edoardo Pasolli, Melba M. Crawford:
An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(4): 2557-2570 (2020)
2010 – 2019
- 2019
- [j17]Saman Ghaffarian, Norman Kerle, Edoardo Pasolli, Jamal Jokar Arsanjani:
Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data. Remote. Sens. 11(20): 2427 (2019) - 2016
- [j16]Zhou Zhang, Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford:
Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 13(7): 1007-1011 (2016) - [j15]Edoardo Pasolli, Duy Tin Truong, Faizan Malik, Levi Waldron, Nicola Segata:
Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights. PLoS Comput. Biol. 12(7) (2016) - [j14]Zhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton:
An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 640-654 (2016) - [j13]Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford:
Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 1925-1939 (2016) - 2015
- [j12]Edoardo Pasolli, Farid Melgani:
Genetic algorithm-based method for mitigating label noise issue in ECG signal classification. Biomed. Signal Process. Control. 19: 130-136 (2015) - [j11]Yuhang Zhang, Hsiuhan Lexie Yang, Saurabh Prasad, Edoardo Pasolli, Jinha Jung, Melba M. Crawford:
Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(2): 845-858 (2015) - 2014
- [j10]Naif Alajlan, Edoardo Pasolli, Farid Melgani, Andrea Franzoso:
Large-Scale Image Classification Using Active Learning. IEEE Geosci. Remote. Sens. Lett. 11(1): 259-263 (2014) - [j9]Jinha Jung, Edoardo Pasolli, Saurabh Prasad, James C. Tilton, Melba M. Crawford:
A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 491-502 (2014) - [j8]Edoardo Pasolli, Farid Melgani, Devis Tuia, Fabio Pacifici, William J. Emery:
SVM Active Learning Approach for Image Classification Using Spatial Information. IEEE Trans. Geosci. Remote. Sens. 52(4): 2217-2233 (2014) - [c12]James C. Tilton, Edoardo Pasolli:
Incorporating edge information into best merge region-growing segmentation. IGARSS 2014: 4891-4894 - [c11]Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford:
Combining active and metric learning for hyperspectral image classification. WHISPERS 2014: 1-4 - 2013
- [j7]Edoardo Pasolli, Farid Melgani, Naif Alajlan, Nicola Conci:
Optical Image Classification: A Ground-Truth Design Framework. IEEE Trans. Geosci. Remote. Sens. 51(6-2): 3580-3597 (2013) - 2012
- [j6]Edoardo Pasolli, Farid Melgani, Naif Alajlan, Yakoub Bazi:
Active Learning Methods for Biophysical Parameter Estimation. IEEE Trans. Geosci. Remote. Sens. 50(10): 4071-4084 (2012) - [c10]Edoardo Pasolli, Farid Melgani:
An approach for classifying large scale images. IGARSS 2012: 5410-5413 - [c9]Fouzi Douak, Farid Melgani, Edoardo Pasolli, Nabil Benoudjit:
SVR active learning for product quality control. ISSPA 2012: 1113-1117 - 2011
- [b1]Edoardo Pasolli:
Active learning methods for classification and regression problems. University of Trento, Italy, 2011 - [j5]Edoardo Pasolli, Farid Melgani, Yakoub Bazi:
Support Vector Machine Active Learning Through Significance Space Construction. IEEE Geosci. Remote. Sens. Lett. 8(3): 431-435 (2011) - [c8]Edoardo Pasolli, Farid Melgani:
Ground-truth assisted design for remote sensing image classification. IGARSS 2011: 609-612 - [c7]Edoardo Pasolli, Farid Melgani:
Gaussian process regression within an active learning scheme. IGARSS 2011: 3574-3577 - [c6]Edoardo Pasolli, Farid Melgani, Devis Tuia, Fabio Pacifici, William J. Emery:
Improving active learning methods using spatial information. IGARSS 2011: 3923-3926 - [c5]Devis Tuia, Edoardo Pasolli, William J. Emery:
Dataset shift adaptation with active queries. JURSE 2011: 121-124 - 2010
- [j4]Edoardo Pasolli, Farid Melgani, Massimo Donelli:
Gaussian Process Approach to Buried Object Size Estimation in GPR Images. IEEE Geosci. Remote. Sens. Lett. 7(1): 141-145 (2010) - [j3]Edoardo Pasolli, Farid Melgani:
Active Learning Methods for Electrocardiographic Signal Classification. IEEE Trans. Inf. Technol. Biomed. 14(6): 1405-1416 (2010) - [c4]Edoardo Pasolli, Farid Melgani:
Model-based active learning for SVM classification of remote sensing images. IGARSS 2010: 820-823
2000 – 2009
- 2009
- [j2]Edoardo Pasolli, Farid Melgani, Massimo Donelli:
Automatic Analysis of GPR Images: A Pattern-Recognition Approach. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2206-2217 (2009) - [j1]Andrea Paoli, Farid Melgani, Edoardo Pasolli:
Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization. IEEE Trans. Geosci. Remote. Sens. 47(12-2): 4175-4188 (2009) - [c3]Andrea Paoli, Farid Melgani, Edoardo Pasolli:
Swarm Intelligence for Unsupervised Classification of Hyperspectral Images. IGARSS (5) 2009: 96-99 - [c2]Edoardo Pasolli, Farid Melgani, Massimo Donelli:
A Pattern Recognition System for Extracting Buried Object Characteristics in GPR Images. IGARSS (4) 2009: 430-433 - 2008
- [c1]Edoardo Pasolli, Farid Melgani, Massimo Donelli, Redha Attoui, Mariette de Vos:
Automatic Detection and Classification of Buried Objects in GPR Images Using Genetic Algorithms and Support Vector Machines. IGARSS (2) 2008: 525-528
Coauthor Index
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