Sildomar T. Monteiro

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	Hepsi	2020 yılından bugüne
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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Eli SaberProfessor of Electrical and Microelectronic Engineering, RITrit.edu üzerinde doğrulanmış e-posta adresine sahip
Fabio RamosUniversity of Sydney and NVIDIAsydney.edu.au üzerinde doğrulanmış e-posta adresine sahip
Sven SchneiderBauhaus-Universität Weimaruni-weimar.de üzerinde doğrulanmış e-posta adresine sahip
Kuniaki UtoTokyo Institute of Technologyc.titech.ac.jp üzerinde doğrulanmış e-posta adresine sahip
Steven SchedingDirector, Green Atlasgreenatlas.com.au üzerinde doğrulanmış e-posta adresine sahip
Juan NietoMicrosoft - Mixed Reality and AI Labmicrosoft.com üzerinde doğrulanmış e-posta adresine sahip
Carlos H. C. RibeiroProfessor of Computer Science, Technological Institute of Aeronauticsita.br üzerinde doğrulanmış e-posta adresine sahip
Ali KadkhodaieProfessor of Petroleum Geology/Petrophysics, University of Tabriztabrizu.ac.ir üzerinde doğrulanmış e-posta adresine sahip
Emmett IentilucciRochester Institute of Technologycis.rit.edu üzerinde doğrulanmış e-posta adresine sahip
Diego ViejoProfessordccia.ua.es üzerinde doğrulanmış e-posta adresine sahip
Raymond LeungAustralian Centre for Field Robotics, University of Sydneysydney.edu.au üzerinde doğrulanmış e-posta adresine sahip
Keisuke KameyamaProfessor, Department of Computer Science, University of Tsukubacs.tsukuba.ac.jp üzerinde doğrulanmış e-posta adresine sahip
Nathan CahillRochester Institute of Technologyrit.edu üzerinde doğrulanmış e-posta adresine sahip
David MessingerProfessor and Director, Chester F. Carlson Center for Imaging Science, Rochester Institute ofcis.rit.edu üzerinde doğrulanmış e-posta adresine sahip
Graham BrookerACFR, University of Sydneyacfr.usyd.edu.au üzerinde doğrulanmış e-posta adresine sahip
Thierry PeynotQueensland University of Technology (QUT)qut.edu.au üzerinde doğrulanmış e-posta adresine sahip
Johan S. Obando-CeronMila, University of Montrealmila.quebec üzerinde doğrulanmış e-posta adresine sahip
Victor Romero-CanoCardiff Universitycardiff.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Nobuto MATSUHIRA芝浦工業大学shibaura-it.ac.jp üzerinde doğrulanmış e-posta adresine sahip
Tyler PaineMassachusetts Institute of Technology and Woods Hole Oceanographic Institutionmit.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Sildomar T. Monteiro

Aurora (Boeing) | MIT

mit.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

AI Machine Learning Computer Vision Robotics


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Machine learning based hyperspectral image analysis: a survey UB Gewali, ST Monteiro, E Saber arXiv preprint arXiv:1802.08701, 2018	188	2018
Evaluating classification techniques for mapping vertical geology using field-based hyperspectral sensors RJ Murphy, ST Monteiro, S Schneider IEEE Transactions on Geoscience and Remote Sensing 50 (8), 3066-3080, 2012	168	2012
Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery ST Monteiro, Y Minekawa, Y Kosugi, T Akazawa, K Oda ISPRS Journal of Photogrammetry and Remote Sensing 62 (1), 2-12, 2007	134	2007
Dense semantic labeling of very-high-resolution aerial imagery and lidar with fully-convolutional neural networks and higher-order CRFs Y Liu, S Piramanayagam, ST Monteiro, E Saber Proceedings of the IEEE conference on computer vision and pattern …, 2017	114	2017
Mapping the distribution of ferric iron minerals on a vertical mine face using derivative analysis of hyperspectral imagery (430–970 nm) RJ Murphy, ST Monteiro ISPRS Journal of Photogrammetry and Remote Sensing 75, 29-39, 2013	112	2013
Rock recognition from MWD data: a comparative study of boosting, neural networks, and fuzzy logic A Kadkhodaie-Ilkhchi, ST Monteiro, F Ramos, P Hatherly IEEE Geoscience and Remote Sensing Letters 7 (4), 680-684, 2010	82	2010
Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at 900 nm as an Indicator of Mineralogy RJ Murphy, S Schneider, ST Monteiro Geoscience and Remote Sensing, IEEE Transactions on 52 (5), 2843 - 2857, 2014	67	2014
Transfer learning for high resolution aerial image classification Y Liang, ST Monteiro, ES Saber 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2016	54	2016
Dual-channel densenet for hyperspectral image classification G Yang, UB Gewali, E Ientilucci, M Gartley, ST Monteiro IGARSS 2018-2018 IEEE international geoscience and remote sensing symposium …, 2018	53	2018
Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields Y Liu, S Piramanayagam, ST Monteiro, E Saber Journal of Applied Remote Sensing 13 (1), 016501-016501, 2019	50	2019
Mapping layers of clay in a vertical geological surface using hyperspectral imagery: Variability in parameters of SWIR absorption features under different conditions of … RJ Murphy, S Schneider, ST Monteiro Remote Sensing 6 (9), 9104-9129, 2014	38	2014
3D geological modelling using laser and hyperspectral data JI Nieto, ST Monteiro, D Viejo 2010 IEEE international geoscience and remote sensing symposium, 4568-4571, 2010	38	2010
Robust stock value prediction using support vector machines with particle swarm optimization TM Sands, D Tayal, ME Morris, ST Monteiro 2015 IEEE Congress on Evolutionary Computation (CEC), 3327-3331, 2015	37	2015
Gaussian processes for vegetation parameter estimation from hyperspectral data with limited ground truth UB Gewali, ST Monteiro, E Saber Remote Sensing 11 (13), 1614, 2019	34	2019
A particle swarm optimization-based approach for hyperspectral band selection ST Monteiro, Y Kosugi 2007 IEEE Congress on Evolutionary Computation, 3335-3340, 2007	27	2007
Towards applying hyperspectral imagery as an intraoperative visual aid tool ST Monteiro, Y Kosugi, K Uto, E Watanabe Proc. 4th Int. Conf. on Visualization, Imaging and Image Processing, 483-488, 2004	27	2004
Embedded feature selection of hyperspectral bands with boosted decision trees ST Monteiro, RJ Murphy 2011 IEEE International Geoscience and Remote Sensing Symposium, 2361-2364, 2011	26	2011
Automatic rock recognition from drilling performance data H Zhou, P Hatherly, ST Monteiro, F Ramos, F Oppolzer, E Nettleton, ... 2012 IEEE International Conference on Robotics and Automation, 3407-3412, 2012	25	2012
Spectral super-resolution with optimized bands UB Gewali, ST Monteiro, E Saber Remote Sensing 11 (14), 1648, 2019	23	2019
A collective AI via lifelong learning and sharing at the edge A Soltoggio, E Ben-Iwhiwhu, V Braverman, E Eaton, B Epstein, Y Ge, ... Nature Machine Intelligence 6 (3), 251-264, 2024	22	2024

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