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Edoardo Pasolli
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Books and Theses
- 2011
- [b1]Edoardo Pasolli:
Active learning methods for classification and regression problems. University of Trento, Italy, 2011
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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
- [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
- [c4]Edoardo Pasolli
, Farid Melgani:
Model-based active learning for SVM classification of remote sensing images. IGARSS 2010: 820-823 - 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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