Dr. Edoardo Pasolli

Since December 2018 I am tenure-track assistant professor (RTD-b) at University of Naples Federico II, Department of Agricultural Sciences, Italy, where I teach the course "Data science". My research interests aim at developing machine learning and data science methodologies for complex ecosystems including the human microbiome and remote sensing data.


I was Marie Sklodowska-Curie individual fellow at University of Trento, Centre for Integrative Biology, Italy (2016-2018). Main results were published in this Cell paper.

I was also postdoctoral fellow at University of Trento, Centre for Integrative Biology, Italy (2014-2016), postdoctoral fellow at Purdue University, School of Civil Engineering, United States (2013-2014), scientist at NASA Goddard Space Flight Center, Computational and Information Sciences and Technology Office, United States (2012-2013) and postdoctoral fellow at University of Trento, Department of Information Engineering and Computer Science, Italy (2011-2012).

I received the Ph.D. in Information and Communication Technology (November 2011), Master's degree in Telecommunications Engineering (March 2008, Grade: 110/110 cum laude) and Bachelor's degree in Telecommunications Engineering (January 2006, Grade: 110/110 cum laude) at University of Trento, Italy.


Email: edoardo.pasolli ( at ) unina.it

http://twitter.com/epasolli


Updated: June 29th, 2020

Short CV

Current position
Tenure-track assistant professor (RTD-b), Department of Agricultural Sciences, University of Naples Federico II, Italy

Past positions
2016-2018, Marie Sklodowska-Curie individual fellowCentre for Integrative Biology, University of Trento, Italy
Research activity: "Assembly-based discovery of uncharacterized human microbiome members and their tracking across individuals and time"

2014-2016, Postdoctoral fellow, Centre for Integrative Biology, University of Trento, Italy
Research activity: "Development of computational, statistical, and machine learning tools for the strain-level analysis of large-scale metagenomic data"

2013-2014, Postdoctoral fellow, School of Civil Engineering, Purdue University, United States
Research activity: "Development of machine learning algorithms for analysis of hyperspectral and unmanned aerial vehicle (UAV) remote sensing images"

2012-2013, Scientist, Computational and Information Sciences and Technology Office, NASA Goddard Space Flight Center, United States
Research activity: "Development of advanced techniques for segmentation of hyperspectral and very high spatial resolution remote sensing images"

2011-2012, Postdoctoral fellow, Department of Information Engineering and Computer Science, University of Trento, Italy
Research activity: "Development of ICT solutions for environmental and biomedical applications"

Education

2011 Nov, Ph.D. in Information and Communication Technology, Department of Information Engineering and Computer Science, University of Trento, Italy
Thesis title: "Active learning methods for classification and regression problems" under the supervision of prof. F. Melgani. Thesis defence committee: prof. J. Chanussot (Grenoble Institute of Technology), prof. G. Moser (University of Genova), prof. F. Melgani (University of Trento)

2008 Mar, Master’s degree in Telecommunications Engineering, Faculty of Engineering, University of Trento, Italy, Grade 110/110 cum laude
Thesis title: "Development of an innovative system for automatic analysis of GPR images" under the supervision of prof. F. Melgani and prof. M. Donelli

2006 Jan, Bachelor’s degree in Telecommunications Engineering, Faculty of Engineering, University of Trento, Italy, Grade 110/110 cum laude
Thesis title: "Multispectral remote sensing image watermarking with PCA and DCT transforms" under the supervision of prof. F. Melgani

Awards
2018, "HM Goldman" award co-recipient
2017, IEEE Transactions on Geoscience and Remote Sensing Best Reviewer
2017-2026, Qualification as Associate Professor in Italy (ASN, sector 09/F2)
2017, IEEE Senior Member
2017 Feb, Travel fellowship award by "Simons Center for Data Analysis: The Second Workshop on Challenges in Microbiome Data Analysis" (Boston, United States)
2015 Jun, Travel fellowship award by "MetaSUB: Metagenomics and Metadesign of Subways and Urban Biomes Conference" (New York, United States)
2015 Jun, Travel fellowship award by "EMBL Conference on the Human Microbiome" (Heidelberg, Germany)
2013, IEEE Transactions on Geoscience and Remote Sensing Best Reviewer
2012, IEEE Geoscience and Remote Sensing Letters Best Reviewer
2012, Elsevier Pattern Recognition Letters Best Reviewer

Research visits
2010, University of Colorado at Boulder, Department of Aerospace Engineering Sciences
Research activity: "Development of improved active learning methods using spatial information in
very high spatial resolution remote sensing images" under the supervision of prof. W. J. Emery

Teaching
Since 2018/19, "Data Science" (9 CFU), Master's degree in Agricultural Biotechnologies, Department of Agricultural Sciences, University of Naples Federico II, Italy
2015/16, Teaching assistant for the course "Digital transmission" (6 CFU), Bachelor's degree in Electronics and Telecommunications Engineering, Department of Information Engineering and Computer Science, University of Trento, Italy
2014/15-2015/16, Teaching assistant for the course "Recognition systems" (6 CFU), Master's degree in Telecommunications Engineering, Department of Information Engineering and Computer Science, University of Trento, Italy
2009/10-2011/12, Teaching assistant for the course "Remote sensing technologies for archaeology" (3 CFU), Master’s degree in Cultural Heritage, Faculty of Letters and Philosophy, University of Trento, Italy
2009/10, Teaching assistant for the course "Advanced pattern recognition" (6 CFU), Master’s degree in Telecommunications Engineering, Faculty of Engineering, University of Trento, Italy

Invited/selected talks & seminars (since 2015)
2020 Feb, Invited workshop, Metabarcoding and Metagenomic Data Processing and Analysis Workshop, Naples, Italy
2019 Oct, Invited lecture, IEEE International Workshop on Metrology for Agriculture and Forestry, Portici, Italy
2019 Oct, Selected talk, IEEE International Workshop on Metrology for Agriculture and Forestry, Portici, Italy
2019 Aug, Seminar, IZS Venezie, Padova, Italy
2019 Jul, Invited talk, Joint statistical meeting, Denver, United States
2019 Jul, Invited talk, Networking international biometric society regions conference, Naples, Italy
2019 Jun, Seminar, Caffè scientifico@Dept. of Agricultural SciencesUniversity of Naples Federico II, Naples, Italy
2019 Feb, Seminar, Dept. of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
2018 Oct, Seminar, University of Southern Denmark, Odense, Denmark
2018 Jun, Seminar, ECM course, CSS-Mendel Institute, Rome, Italy
2018 May, Seminar, Institut Pasteur, Paris, France
2018 Apr, Seminar, University of Eastern Piedmont, Novara, Italy
2017 Aug, Invited talk, Joint statistical meeting, Baltimore, United States
2017 Jul, Selected workshop, Bioc 2017: where software and biology connect, Boston, United States
2017 Feb, Invited talk, Second workshop in statistical and algorithmic challenges in microbiome data analysis, Boston, United States
2015 Jun, Invited talk, MetaSUB workshop, New York, United States
2015 Jun, Selected talk, EMBL-The human microbiome conference, Heidelberg, Germany

Editorial activity
Topic board: ISPRS International Journal of Geo-Information (2020-)
Reviewer board: Remote Sensing (2019-)
Editorial board: Remote Sensing (2019-)


Peer-reviewing of 373 papers for:
IEEE: Transactions on Geoscience and Remote Sensing; Geoscience and Remote Sensing Letters; Journal of Selected Topics in Applied Earth Observations and Remote Sensing; Geoscience and Remote Sensing Magazine; Transactions on Image Processing; Transactions on Industrial Electronics; Transactions on Medical Imaging; Transactions on Biomedical Engineering; Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics; Transactions on Systems, Man and Cybernetics: Systems; Transactions on Cybernetics; Electronic Letters; Access.
Elsevier: Remote Sensing of Environment; ISPRS Journal of Photogrammetry and Remote Sensing; International Journal of Applied Earth Observation and Geoinformation; Computer & Geosciences; Journal of Applied Geophysics; Journal of the Franklin Institute; Pattern Recognition Letters; Artificial Intelligence in Medicine; Computers in Biology and Medicine; Journal of Chemometrics; Neurocomputing; Chemometrics and Intelligent Laboratory Systems; Biomedical Signal Processing and Control; Informatics in Medicine Unlocked; Expert Systems with Applications.
Springer: Journal of Heuristics; Acta Geophysica; Soft Computing; Biomedical Engineering; Signal, Image and Video Processing.
MDPI: Remote Sensing; ISPRS International Journal of Geo-Information; Sensors; Metabolites.
Hindawi: Applied Computational Intelligence and Soft Computing; The Scientific World Journal.
BMC: Genome Biology; Genome Medicine; Microbiome; Bioinformatics; Genomics; Medical Informatics and Decision Making.
Nature: Nature Biotechnology, Nature Communications, Nature Protocols, Scientific Reports.
PLOS: PLOS One.
Taylor & Francis: International Journal of Remote Sensing; Journal of Spatial Science; Marine Geodesy.
SPIE: Journal of Applied Remote Sensing.
Others: eLife; Genome Research; GigaScience; Bioinformatics; Computing Surveys; The Annals of Applied Statistics; Photogrammetric Engineering and Remote Sensing; Progress in Electromagnetics Research; International Journal of Remote Sensing Applications; International Journal on Artificial Intelligence Tools; Journal of Zhejiang University Science C; The Open Civil Engineering Journal.

People (since 2019)
Renato Giliberti, PhD student (2019-2022)
Ilia Mauriello, PhD student, with prof. Danilo Ercolini (2019-2022)

Publications

International journal papers (* equal contribution, # corresponding author)
  1. E. Pasolli, F. De Filippis, I. E. Mauriello, F. Cumbo, A. M. Walsh, J. Leech, P. D. Cotter, N. Segata, D. Ercolini. Large-scale genome-wide analysis links lactic acid bacteria from food with the gut microbiomeNature Communications, 11, Dec. 2020 [IF 2019: 12.121].
  2. F. Asnicar, A. M. Thomas, F. Beghini, C. Mengoni, S. Manara, P. Manghi, Q. Zhu, M. Bolzan, F. Cumbo, U. May, J. G. Sanders, M. Zolfo, E. Kopylova, E. Pasolli, R. Knight, S. Mirarab, C. Huttenhower, N. Segata. Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0. Nature Communications, 11, Dec. 2020 [IF 2019: 12.121].
  3. N. Karcher, E. Pasolli, [19 authors], N. Segata. Analysis of 1321 Eubacterium rectale genomes from metagenomes uncovers complex phylogeographic population structure and subspecies functional adaptationsGenome Biology, 21:138, Dec. 2020 [IF 2019: 10.806].
  4. F. De Filippis*, E. Pasolli*, D. Ercolini. The food-gut axis: lactic acid bacteria and their link to food, the gut microbiome and human health. FEMS Microbiology Reviews, Jun. 2020 [IF 2019: 13.920].
  5. L. Derosa, B. Routy, M. Fidelle, V. Iebba, L. Alla, E. Pasolli, [27 authors], L. Zitvogel. Gut bacteria composition drives primary resistance to cancer immunotherapy in renal cell carcinoma patientsEuropean Urology, May 2020 [IF 2019: 17.947].
  6. S. Falanga Bolognesi, E. Pasolli#, O. R. Belfiore, C. De Michele, G. D'Urso. Harmonized Landsat 8 and Sentinel-2 time series data to detect irrigated areas: an application in southern ItalyRemote Sensing, 12:8, Apr. 2020 [IF 2019: 4.509].
  7. Z. Zhang, E. Pasolli, M. M. Crawford. An adaptive multiview active learning approach for spectral-spatial classification of hyperspectral imagesIEEE Transactions on Geoscience and Remote Sensing, 58:4, Apr. 2020 [IF 2019: 5.855].
  8. V. Meslier, M. Laiola, H. M. Roager, F. De Filippis, H. Roume, B. Quinquis, R. Giacco, I. Mennella, R. Ferracane, N. Pons, E. Pasolli, A. Rivellese, L. O. Dragsted, P. Vitaglione, S. D. Ehrlich, D. Ercolini. Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome independently of energy intake. Gut, Feb. 2020 [IF 2019: 19.819].
  9. S. Manara, F. Asnicar, F. Beghini, D. Bazzani, F. Cumbo, M. Zolfo, E. Nigro, N. Karcher, P. Manghi, M. I. Metzger, E. Pasolli, N. Segata. Microbial genomes from non-human primate gut metagenomes expand the primate-associated bacterial tree of life with over 1000 novel species. Genome Biology, 20:299, Dec. 2019 [IF 2019: 10.806].
  10. S. Ghaffarian, N. Kerle, E. Pasolli, J.J. Arsanjani. Post-disaster building database updating using automated deep learning: An integration of pre-disaster OpenStreetMap and multi-temporal satellite data. Remote Sensing, 11:20, Oct. 2019 [IF 2019: 4.509].
  11. A. Tett, K. D. Huang, F. Asnicar, H. Fehlner-Peach, E. Pasolli, [26 authors], N. Segata. The Prevotella copri complex comprises four distinct clades underrepresented in Westernised populations. Cell Host&Microbe, 25:10, Oct 2019 [IF 2019: 15.923].
  12. A. Thomas, P. Manghi, F. Asnicar, E. Pasolli, [32 authors], L. Waldron, A. Naccarati, N. Segata. Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation. Nature Medicine, 25:667-678, Apr. 2019 [IF 2019: 36.130].
  13. F. De Filippis, E. Pasolli, A. Tett, S. Tarallo, A. Naccarati, M. De Angelis, E. Neviani, L. Cocolin, M. Gobbetti, N. Segata, D. Ercolini. Distinct genetic and functional traits of human intestinal Prevotella copri strains are associated with different habitual diets. Cell Host&Microbe, 25:3, Mar. 2019 [IF 2019: 15.923].
  14. D. Dolce, S. Neri, L. Grisotto, [18 authors], E. Pasolli, [3 authors], G. Taccetti. Methicillin-resistant Staphylococcus aureus eradication in cystic fibrosis patients: A randomized multicenter study. PLOS ONE, Mar. 2019 [IF 2019: 2.740] 
  15. E. Pasolli, F. Asnicar, S. Manara, M. Zolfo, N. Karcher, F. Armanini, F. Beghini, P. Manghi, A. Tett, P. Ghensi, M. C. Collado, B. L. Rice, C. DuLong, X. C. Morgan, C. Golden, C. Huttenhower, N. Segata. Extensive unexplored human microbiome diversity revealed by over 150,000 genomes from metagenomes spanning age, geography, and lifestyleCell, 176:3, Jan. 2019 [IF 2019: 38.637] [ website ]. 
  16. R. Pedron, A. Esposito, I. Bianconi, E. Pasolli, A. Tett, F. Asnicar, M. Cristofolini, N. Segata, O. Jousson. Genomic and metagenomic insights into the microbial community of a thermal spring. Microbiome, 7:8, Jan. 2019 [IF 2019: 11.607]. 
  17. S. Manara*, E. Pasolli*, D. Dolce*, N. Ravenni, S. Campana, F. Armanini, F. Asnicar, A. Mengoni, L. Galli, C. Montagnani, E. Venturini, O. Rota-Stabelli, G. Grandi, G. Taccetti, N. Segata. Whole-genome epidemiology, characterisation, and phylogenetic reconstruction of Staphylococcus aureus strains in a paediatric hospitalGenome Medicine, 10:82, Nov. 2018 [IF 2018: 10.886].
  18. P. Ferretti, E. Pasolli*, A. Tett*, F. Asnicar*, [40 authors], N. Segata. Mother-to-infant microbial transmission from different body sites shapes the developing infant gut microbiomeCell Host&Microbe, 24:1, Jul. 2018 [IF 2018: 15.753] [cover].
  19. M. Yassour, E. Jason, L. J. Hogstrom, T. D. Arthur, S. Tripathi, H. Siljander, J. Selvenius, S. Oikarinen, H. Hyoty, S. M. Virtanen, J. Ilonen, P. Ferretti, E. Pasolli, A. Tett, F. Asnicar, N. Segata, H. Vlamakis, E. S. Lander, C. Huttenhower, M. Knip, R. J. Xavier. Strain-level analysis of mother-to-child bacterial transmission during the first few months of life. Cell Host&Microbe, 24:1, Jul. 2018 [IF 2018: 15.753].
  20. M. Zolfo, F. Asnicar, P. Manghi, E. Pasolli, A. Tett, N. Segata. Profiling microbial strains in urban environments using metagenomic sequencing data. Biology Direct, 13:9, May 2018 [IF 2018: 3.010].
  21. F. Pinto, A. Tett, F. Armanini, F. Asnicar, A. Boscaini, E. Pasolli, M. Zolfo, C. Donati, N. Salmaso, N. Segata. Draft genome sequences of novel Pseudomonas, Flavobacterium, and Sediminibacterium strains from a freshwater ecosystemGenome Announcements, 6(5):e00009-18, Feb. 2018.
  22. E. Pasolli*, L. Schiffer*, P. Manghi*, A. Renson, V. Obenchain,  D. T. Truong, F. Beghini, F. Malik, M. Ramos, J. B. Dowd, C. Huttenhower, M. Morgan, N. Segata, L. Waldron. Accessible, curated metagenomic data through ExperimentHub. Nature Methods, 14(11):1023-1024, Nov. 2017 [IF 2017: 26.919] [ website ].
  23. F. Pinto, A. Tett, F. Armanini, F. Asnicar, A. Boscaini, E. Pasolli, M. Zolfo, C. Donati, N. Salmaso, N. Segata. Draft genome sequence of the planktic cyanobacterium Tychonema bourrellyi, isolated from alpine lentic freshwater. Genome Announcements, 5(47):e01294-17, Nov. 2017.
  24. F. Beghini*, E. Pasolli*, D. T. Truong, L. Putignani, S. Cacciò, N. Segata. Large-scale comparative metagenomics of Blastocystis, a common member of the human gut microbiome. ISME Journal, 11:2848-2863, Aug. 2017 [IF 2017: 9.520].
  25. S. Wuyts, S. Wittouck, I. De Boeck, C. Allonsius, E. Pasolli, N. Segata, S. Lebeer. Large-scale phylogenomics of the Lactobacillus casei group highlights taxonomic inconsistencies and reveals novel clade-associated features. mSystems, 2(4):e00061-17, Aug. 2017  [IF 2017: 5.750].
  26. A. Tett, E. Pasolli*, S. Farina*, D. T. Truong*, F. Asnicar, M. Zolfo, F. Beghini, F. Armanini, O. Jousson, V. De Sanctis, R. Bertorelli, G. Girolomoni, M. Cristofolini, N. Segata. Unexplored diversity and strain-level structure of the skin microbiome associated with psoriasis. npj Biofilms and Microbiomes, Jun. 2017 [IF 2017: 4.128].
  27. S. Duranti, [13 authors], E. Pasolli, [17 authors], M. Ventura. Maternal inheritance of bifidobacterial communities and bifidophages in infants through vertical transmission. Microbiome, 5:66, Jun. 2017 [IF 2017: 9.133].
  28. D. T. Truong, A. Tett, E. Pasolli, C. Huttenhower, N. Segata. Microbial strain-level population structure and genetic diversity from metagenomes. Genome Research, Feb. 2017 [IF 2017: 10.101] [ code ].
  29. E. Pasolli, D. T. Truong, F. Malik, L. Waldron, N. Segata. Machine learning meta-analysis of large metagenomic datasets: tools and biological insights. PLOS Computational Biology, 12(7):e1004977, Jul. 2016 [IF 2016: 4.542] [ code | Gut check article by Casey S. Greene ].
  30. Z. Zhang, E. Pasolli, H. L. Yang, and M. M. Crawford. Multimetric active learning for classification of remote sensing data. IEEE Geoscience and Remote Sensing Letters, 13(7):1007-1011, Jul. 2016 [IF 2016: 2.761].
  31. The MetaSUB International Consortium. The metagenomics and metadesign of the subways and urban biomes (MetaSUB) international consortium inaugural meeting report. Microbiome, 4(1):1-14, Jun. 2016 [IF 2016: 8.496].
  32. M. Scholz*, D. W. Ward*, E. Pasolli*, T. Tolio, M. Zolfo, F. Asnicar, D. T. Truong, A. Tett, A. L. Morrow, and N. Segata. Strain-level microbial epidemiology and population genomics from shotgun metagenomics. Nature Methods, 13(5):435-438, May 2016 [IF 2016: 25.062] [ code | Strain-level article by Vivien Marx ].
  33. E. Pasolli, H. L. Yang, and M. M. Crawford. Active-metric learning for classification of remotely sensed hyperspectral images. IEEE Transactions on Geoscience and Remote Sensing, 54(4):1925-1939, Apr. 2016 [IF 2016: 4.942].
  34. Z. Zhang, E. Pasolli, M. M. Crawford, and J. C. Tilton. An active learning framework for hyperspectral image classification using hierarchical segmentation. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 9(2):640-654, Feb. 2016 [IF 2016: 2.913].
  35. D. T. Truong, E. A. Franzosa, T. T. Tickle, M. Scholz, G. Weingart, E. Pasolli, A. Tett, C. Huttenhower, and N. Segata. MetaPhlAn2 for enhanced metagenomic taxonomic profiling. Nature Methods, 12(10):902-903, Oct. 2015 [IF 2015: 25.328] [ code ].
  36. E. Pasolli and F. Melgani. Genetic-algorithm based method for mitigating label noise issue in ECG signal classification. Biomedical Signal Processing and Control, 19:130-136, May 2015 [IF 2015: 1.521].
  37. Y. Zhang, H. L. Yang, S. Prasad, E. Pasolli, J. Jung, and M. M. Crawford. Ensemble multiple kernel active learning for classification of multi-source remote sensing data. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 8(2):845-858, Feb. 2015 [IF 2015: 2.145].
  38. E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, and W. J. Emery. SVM active learning approach for image classification using spatial information. IEEE Transactions on Geoscience and Remote Sensing, 52(4):2217-2233, Apr. 2014 [IF 2014: 3.514].
  39. J. Jung, E. Pasolli, S. Prasad, J. C. Tilton, and M. M. Crawford. A framework for land cover classification using discrete return LiDAR data: Adopting pseudo-waveform and hierarchical segmentation. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 7(2):491-502, Feb. 2014 [IF 2014: 3.026].
  40. N. Alajlan, E. Pasolli, F. Melgani, and A. Franzoso. Large-scale image classification using active learning. IEEE Geoscience and Remote Sensing Letters, 11(1):259-263, Jan. 2014 [IF 2014: 2.095].
  41. E. Pasolli, F. Melgani, N. Alajlan, and N. Conci. Optical image classification: a ground-truth design framework. IEEE Transactions on Geoscience and Remote Sensing, 51(6):3580-3597, Jun. 2013 [IF 2013: 2.933].
  42. E. Pasolli, F. Melgani, N. Alajlan, and Y. Bazi. Active learning methods for biophysical parameter estimation. IEEE Transactions on Geoscience and Remote Sensing, 50(10):4071–4084, Oct. 2012 [IF 2012: 3.467].
  43. N. Segata*, E. Pasolli*, F. Melgani, and E. Blanzieri. Local SVM approaches for fast and accurate classification of remote sensing images. International Journal of Remote Sensing, 33(19):6186–6201, Oct. 2012 [IF 2012: 1.138].
  44. F. Douak, F. Melgani, N. Alajlan, E. Pasolli, Y. Bazi, and N. Benoudjit. Active learning for spectroscopic data regression. Journal of Chemometrics, 26(7):374–383, Jul. 2012 [IF 2012: 1.937].
  45. D. Tuia, E. Pasolli, and W. J. Emery. Using active learning to adapt remote sensing image classifiers. Remote Sensing of Environment, 115(9):2232–2242, Sep. 2011 [IF 2011: 4.574].
  46. E. Pasolli, F. Melgani, and Y. Bazi. Support vector machine active learning through significance space construction. IEEE Geoscience and Remote Sensing Letters, 8(3):431–435, May 2011 [IF 2011: 1.560].
  47. E. Pasolli and F. Melgani. Active learning methods for electrocardiographic signal classification. IEEE Transactions on Information Technology in Biomedicine, 14(6):1405–1416, Nov. 2010 [IF 2010: 1.707].
  48. E. Pasolli, F. Melgani, and M. Donelli. Gaussian process approach to buried object size estimation in GPR images. IEEE Geoscience and Remote Sensing Letters, 7(1):141–145, Jan. 2010 [IF 2010: 1.431].
  49. A. Paoli, F. Melgani, and E. Pasolli. Clustering of hyperspectral images based on multiobjective particle swarm optimization. IEEE Transactions on Geoscience and Remote Sensing, 47(12):4175–4187, Dec. 2009, [IF 2009: 2.234].
  50. E. Pasolli, F. Melgani, and M. Donelli. Automatic analysis of GPR images: a pattern-recognition approach. IEEE Transactions on Geoscience and Remote Sensing, 47(7):2206–2217, Jul. 2009, [IF 2009: 2.234].

Book chapters

  1. E. Pasolli, S. Prasad, M. M. Crawford, J. Tilton. Advances in hyperspectral image classification methods for vegetation and agricultural cropland studies. In P. S. Thenkabail et al., editors, Hyperspectral remote sensing of vegetation (second edition). CRC Press, 2019.
  2. N. Meger, E. Pasolli, C. Rigotti, E. Trouve, F. Melgani. Satellite image time series: mathematical models for data mining and missing data restoration. In J. Zerubia and G. Moser, editors, Mathematical models for remote sensing image processing. Springer, 2018.
  3. F. Melgani, G. Mercier, L. Lorenzi, and E. Pasolli. Recent methods for reconstructing missing data in multispectral satellite imagery. In R. S. Anderssen et al., editors, Applications + practical conceptualization + mathematics = fruitul innovation, pages 221-234. Springer, 2016.
  4. F. Melgani and E. Pasolli. Multiobjective PSO for hyperspectral image clustering. In A. Chatterjee and P. Siarry, editors, Modern image processing algorithms employing computational intelligence techniques, pages 265-280. Springer, 2013.

International conference papers

  1. Z. Zhang, E. Pasolli, M. M. Crawford. Crop mapping through an adaptive multiview active learning strategy. In Proceedings of the IEEE International Workshop on Metrology for Agriculture and Forestry 2019, Portici, Italy, 2019.
  2. D. Dolce, N. Ravenni, S. Campana, E. Camera, S. Neri, C. Braggion, S. Manara, E. Pasolli, F. Armanini, N. Segata, G. Taccetti. Longitudinal study of methicillin-resistant Staphylococcus aureus genetic background isolated from cystic fibrosis patients. In Proceedings of the European Cystic Fibrosis Conference, Journal of Cystic Fibrosis, 16(S90), Jul. 2017.
  3. D. Dolce, N. Ravenni, S. Campana, E. Camera, T. Orioli, S. Neri, C. Braggion, S. Manara, E. Pasolli, F. Armanini, N. Segata, G. Taccetti. Genetic background of methicillin-resistant Staphylococcus aureus isolates from cystic fibrosis patients: a three-year longitudinal study. In Proceedings of the Annual North American Cystic Fibrosis Conference, Pediatric Pulmonology, 51(S45):318, Oct. 2016.
  4. M. Scholz, D. W. Ward, E. Pasolli, T. Tolio, M. Zolfo, F. Asnicar, D. T. Truong, A. Tett, A. L. Morrow, and N. Segata. Pangenome-based computational metagenomic profiling enables strain-level culture-free epidemiology and population genomic studies. In Proceedings of the ECCB 2016, The Hague, Netherlands, 2016.
  5. E. Pasolli, H. L. Yang, and M. M. Crawford. Combining active and metric learning for hyperspectral image classification. In Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing 2014, Lausanne, Switzerland, 2014.
  6. J. C. Tilton and E. Pasolli. Incorporating edge information into best merge region-growing segmentation. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2014, pages 4891-4894, Quebec, Canada, 2014.
  7. E. Pasolli and F. Melgani. An approach for classifying large scale images. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2012, pages 5410-5413, Munich, Germany, 2012.
  8. F. Douak, F. Melgani, E. Pasolli, and N. Benoudjit. SVR active learning for product quality control. In Proceedings of the International Conference on Information Science, Signal Processing and their Applications 2012, pages 1113-1117, Montreal, Canada, 2012.
  9. E. Pasolli and F. Melgani. Ground-truth assisted design for remote sensing image classification. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2011, pages 609–612, Vancouver, Canada, 2011.
  10. E. Pasolli and F. Melgani. Gaussian process regression within an active learning scheme. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2011, pages 3574–3577, Vancouver, Canada, 2011.
  11. E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, and W. J. Emery. Improving active learning methods using spatial information. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2011, pages 3923–3926, Vancouver, Canada, 2011.
  12. D. Tuia, E. Pasolli, and W. J. Emery. Dataset shift adaptation with active queries. In Proceedings of the Joint Urban Remote Sensing Event 2011, pages 121–124, Munich, German, 2011.
  13. F. Melgani, G. Mahlknecht, E. Pasolli, E. Gottardini, A. Cristofori, F. Cristofolini, and N. La Porta. Exploiting ozone concentration measurements from satellite remote sensors for forest monitoring: a feasibility study. In Proceedings of the IUFRO World Congress 2010, pages 336–336, Seoul, Republic of Korea, 2010.
  14. E. Pasolli and F. Melgani. Model-based active learning for SVM classification of remote sensing images. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2010, pages 820–823, Honolulu, Hawaii, 2010.
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