Edoardo Pasolli

Orcid: 0000-0003-0799-3490

According to our database1, Edoardo Pasolli authored at least 33 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa.
PLoS Comput. Biol., 2022

2020
An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Harmonized Landsat 8 and Sentinel-2 Time Series Data to Detect Irrigated Areas: An Application in Southern Italy.
Remote. Sens., 2020

2019
Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data.
Remote. Sens., 2019

2016
Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.
PLoS Comput. Biol., 2016

Multimetric Active Learning for Classification of Remote Sensing Data.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Genetic algorithm-based method for mitigating label noise issue in ECG signal classification.
Biomed. Signal Process. Control., 2015

2014
SVM Active Learning Approach for Image Classification Using Spatial Information.
IEEE Trans. Geosci. Remote. Sens., 2014

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., 2014

Large-Scale Image Classification Using Active Learning.
IEEE Geosci. Remote. Sens. Lett., 2014

Combining active and metric learning for hyperspectral image classification.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Incorporating edge information into best merge region-growing segmentation.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Optical Image Classification: A Ground-Truth Design Framework.
IEEE Trans. Geosci. Remote. Sens., 2013

2012
Active Learning Methods for Biophysical Parameter Estimation.
IEEE Trans. Geosci. Remote. Sens., 2012

SVR active learning for product quality control.
Proceedings of the 11th International Conference on Information Science, 2012

An approach for classifying large scale images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Active learning methods for classification and regression problems.
PhD thesis, 2011

Support Vector Machine Active Learning Through Significance Space Construction.
IEEE Geosci. Remote. Sens. Lett., 2011

Dataset shift adaptation with active queries.
Proceedings of the Joint Urban Remote Sensing Event, 2011

Improving active learning methods using spatial information.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Gaussian process regression within an active learning scheme.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Ground-truth assisted design for remote sensing image classification.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Active Learning Methods for Electrocardiographic Signal Classification.
IEEE Trans. Inf. Technol. Biomed., 2010

Gaussian Process Approach to Buried Object Size Estimation in GPR Images.
IEEE Geosci. Remote. Sens. Lett., 2010

Model-based active learning for SVM classification of remote sensing images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Automatic Analysis of GPR Images: A Pattern-Recognition Approach.
IEEE Trans. Geosci. Remote. Sens., 2009

Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization.
IEEE Trans. Geosci. Remote. Sens., 2009

A Pattern Recognition System for Extracting Buried Object Characteristics in GPR Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Swarm Intelligence for Unsupervised Classification of Hyperspectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Automatic Detection and Classification of Buried Objects in GPR Images Using Genetic Algorithms and Support Vector Machines.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


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