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 (IGARSS (2), 2008)

Swarm Intelligence for Unsupervised Classification of Hyperspectral Images. - Andrea Paoli; Farid Melgani; Edoardo Pasolli (IGARSS (5), 2009)

A Pattern Recognition System for Extracting Buried Object Characteristics in GPR Images. - Edoardo Pasolli; Farid Melgani; Massimo Donelli (IGARSS (4), 2009)

Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization. - Andrea Paoli; Farid Melgani; Edoardo Pasolli (IEEE Trans. Geosci. Remote. Sens., 2009)

Automatic Analysis of GPR Images: A Pattern-Recognition Approach. - Edoardo Pasolli; Farid Melgani; Massimo Donelli (IEEE Trans. Geosci. Remote. Sens., 2009)

Model-based active learning for SVM classification of remote sensing images. - Edoardo Pasolli; Farid Melgani (IGARSS, 2010)

Gaussian Process Approach to Buried Object Size Estimation in GPR Images. - Edoardo Pasolli; Farid Melgani; Massimo Donelli (IEEE Geosci. Remote. Sens. Lett., 2010)

Active Learning Methods for Electrocardiographic Signal Classification. - Edoardo Pasolli; Farid Melgani (IEEE Trans. Inf. Technol. Biomed., 2010)

Ground-truth assisted design for remote sensing image classification. - Edoardo Pasolli; Farid Melgani (IGARSS, 2011)

Gaussian process regression within an active learning scheme. - Edoardo Pasolli; Farid Melgani (IGARSS, 2011)

Improving active learning methods using spatial information. - Edoardo Pasolli; Farid Melgani; Devis Tuia; Fabio Pacifici; William J. Emery (IGARSS, 2011)

Dataset shift adaptation with active queries. - Devis Tuia; Edoardo Pasolli; William J. Emery (JURSE, 2011)

Support Vector Machine Active Learning Through Significance Space Construction. - Edoardo Pasolli; Farid Melgani; Yakoub Bazi (IEEE Geosci. Remote. Sens. Lett., 2011)

Active learning methods for classification and regression problems. - Edoardo Pasolli (2011)

An approach for classifying large scale images. - Edoardo Pasolli; Farid Melgani (IGARSS, 2012)

SVR active learning for product quality control. - Fouzi Douak; Farid Melgani; Edoardo Pasolli; Nabil Benoudjit (ISSPA, 2012)

Active Learning Methods for Biophysical Parameter Estimation. - Edoardo Pasolli; Farid Melgani; Naif Alajlan; Yakoub Bazi (IEEE Trans. Geosci. Remote. Sens., 2012)

Optical Image Classification: A Ground-Truth Design Framework. - Edoardo Pasolli; Farid Melgani; Naif Alajlan; Nicola Conci (IEEE Trans. Geosci. Remote. Sens., 2013)

Incorporating edge information into best merge region-growing segmentation. - James C. Tilton; Edoardo Pasolli (IGARSS, 2014)

Combining active and metric learning for hyperspectral image classification. - Edoardo Pasolli; Hsiuhan Lexie Yang; Melba M. Crawford (WHISPERS, 2014)

Large-Scale Image Classification Using Active Learning. - Naif Alajlan; Edoardo Pasolli; Farid Melgani; Andrea Franzoso (IEEE Geosci. Remote. Sens. Lett., 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)

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)

Genetic algorithm-based method for mitigating label noise issue in ECG signal classification. - Edoardo Pasolli; Farid Melgani (Biomed. Signal Process. Control., 2015)

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. - Yuhang Zhang 003; Hsiuhan Lexie Yang; Saurabh Prasad; Edoardo Pasolli; Jinha Jung; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Multimetric Active Learning for Classification of Remote Sensing Data. - Zhou Zhang 001; Edoardo Pasolli; Hsiuhan Lexie Yang; Melba M. Crawford (IEEE Geosci. Remote. Sens. Lett., 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)

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. - Zhou Zhang 001; Edoardo Pasolli; Melba M. Crawford; James C. Tilton (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

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)

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)

An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. - Zhou Zhang 001; Edoardo Pasolli; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2020)

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)