Edoardo Pasolli

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa.

Renato Giliberti, Sara Cavaliere, Italia Elisa Mauriello, Danilo Ercolini, Edoardo Pasolli

PLoS Comput. Biol., 2022

2020

An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images.

Zhou Zhang, Edoardo Pasolli, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2020

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

Salvatore Falanga Bolognesi, Edoardo Pasolli, Oscar Rosario Belfiore, Carlo De Michele, Guido D'Urso

Remote. Sens., 2020

2019

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

Saman Ghaffarian, Norman Kerle, Edoardo Pasolli, Jamal Jokar Arsanjani

Remote. Sens., 2019

2016

Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images.

Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2016

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation.

Zhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.

Edoardo Pasolli, Duy Tin Truong, Faizan Malik, Levi Waldron, Nicola Segata

PLoS Comput. Biol., 2016

Multimetric Active Learning for Classification of Remote Sensing Data.

Zhou Zhang, Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford

IEEE Geosci. Remote. Sens. Lett., 2016

2015

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data.

Yuhang Zhang, Hsiuhan Lexie Yang, Saurabh Prasad, Edoardo Pasolli, Jinha Jung, Melba M. Crawford

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Genetic algorithm-based method for mitigating label noise issue in ECG signal classification.

Edoardo Pasolli, Farid Melgani

Biomed. Signal Process. Control., 2015

2014

SVM Active Learning Approach for Image Classification Using Spatial Information.

Edoardo Pasolli, Farid Melgani, Devis Tuia, Fabio Pacifici, William J. Emery

IEEE Trans. Geosci. Remote. Sens., 2014

A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation.

Jinha Jung, Edoardo Pasolli, Saurabh Prasad, James C. Tilton, Melba M. Crawford

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Large-Scale Image Classification Using Active Learning.

Naif Alajlan, Edoardo Pasolli, Farid Melgani, Andrea Franzoso

IEEE Geosci. Remote. Sens. Lett., 2014

Combining active and metric learning for hyperspectral image classification.

Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford

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.

James C. Tilton, Edoardo Pasolli

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Optical Image Classification: A Ground-Truth Design Framework.

Edoardo Pasolli, Farid Melgani, Naif Alajlan, Nicola Conci

IEEE Trans. Geosci. Remote. Sens., 2013

2012

Active Learning Methods for Biophysical Parameter Estimation.

Edoardo Pasolli, Farid Melgani, Naif Alajlan, Yakoub Bazi

IEEE Trans. Geosci. Remote. Sens., 2012

SVR active learning for product quality control.

Fouzi Douak, Farid Melgani, Edoardo Pasolli, Nabil Benoudjit

Proceedings of the 11th International Conference on Information Science, 2012

An approach for classifying large scale images.

Edoardo Pasolli, Farid Melgani

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Active learning methods for classification and regression problems.

Edoardo Pasolli

PhD thesis, 2011

Support Vector Machine Active Learning Through Significance Space Construction.

Edoardo Pasolli, Farid Melgani, Yakoub Bazi

IEEE Geosci. Remote. Sens. Lett., 2011

Dataset shift adaptation with active queries.

Devis Tuia, Edoardo Pasolli, William J. Emery

Proceedings of the Joint Urban Remote Sensing Event, 2011

Improving active learning methods using spatial information.

Edoardo Pasolli, Farid Melgani, Devis Tuia, Fabio Pacifici, William J. Emery

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Gaussian process regression within an active learning scheme.

Edoardo Pasolli, Farid Melgani

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Ground-truth assisted design for remote sensing image classification.

Edoardo Pasolli, Farid Melgani

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Active Learning Methods for Electrocardiographic Signal Classification.

Edoardo Pasolli, Farid Melgani

IEEE Trans. Inf. Technol. Biomed., 2010

Gaussian Process Approach to Buried Object Size Estimation in GPR Images.

Edoardo Pasolli, Farid Melgani, Massimo Donelli

IEEE Geosci. Remote. Sens. Lett., 2010

Model-based active learning for SVM classification of remote sensing images.

Edoardo Pasolli, Farid Melgani

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Automatic Analysis of GPR Images: A Pattern-Recognition Approach.

Edoardo Pasolli, Farid Melgani, Massimo Donelli

IEEE Trans. Geosci. Remote. Sens., 2009

Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization.

Andrea Paoli, Farid Melgani, Edoardo Pasolli

IEEE Trans. Geosci. Remote. Sens., 2009

A Pattern Recognition System for Extracting Buried Object Characteristics in GPR Images.

Edoardo Pasolli, Farid Melgani, Massimo Donelli

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Swarm Intelligence for Unsupervised Classification of Hyperspectral Images.

Andrea Paoli, Farid Melgani, Edoardo Pasolli

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.

Edoardo Pasolli, Farid Melgani, Massimo Donelli, Redha Attoui, Mariette de Vos

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008