Prediction of Sweetness and Nitrogen Content in Soybean Crops from High Resolution Hyperspectral Imagery. - Sildomar Takahashi Monteiro; Yohei Minekawa; Yukio Kosugi; T. Akazawa; Kunio Oda (IGARSS, 2006)

A particle swarm optimization-based approach for hyperspectral band selection. - Sildomar Takahashi Monteiro; Yukio Kosugi (IEEE Congress on Evolutionary Computation, 2007)

Applying Particle Swarm Intelligence for Feature Selection of Spectral Imagery. - Sildomar Takahashi Monteiro; Yukio Kosugi (ISDA, 2007)

Particle Swarms for Feature Extraction of Hyperspectral Data. - Sildomar Takahashi Monteiro; Yukio Kosugi (IEICE Trans. Inf. Syst., 2007)

Hyperspectral Image Classification of Grass Species in Northeast Japan. - Sildomar Takahashi Monteiro; Kuniaki Uto; Yukio Kosugi; Kunio Oda; Yoshiyuki Iino; Genya Saito (IGARSS (4), 2008)

Conditional Random Fields for Rock Characterization Using Drill Measurements. - Sildomar T. Monteiro; Fabio T. Ramos 001; Peter Hatherly (ICMLA, 2009)

Automated rock recognition with wavelet feature space projection and Gaussian Process classification. - Hang Zhou 003; Sildomar T. Monteiro; Peter Hatherly; Fabio T. Ramos 001; Eric Nettleton; Florian Oppolzer (ICRA, 2010)

Calibrating probabilities for hyperspectral classification of rock types. - Sildomar T. Monteiro; Richard J. Murphy (IGARSS, 2010)

3D geological modelling using laser and hyperspectral data. - Juan I. Nieto 001; Sildomar T. Monteiro; Diego Viejo (IGARSS, 2010)

Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic. - Ali Kadkhodaie-Ilkhchi; Sildomar T. Monteiro; Fabio Ramos 001; Peter Hatherly (IEEE Geosci. Remote. Sens. Lett., 2010)

Feature selection with PSO and kernel methods for hyperspectral classification. - Anthony S. J. Tjiong; Sildomar T. Monteiro (IEEE Congress on Evolutionary Computation, 2011)

Embedded feature selection of hyperspectral bands with boosted decision trees. - Sildomar T. Monteiro; Richard J. Murphy (IGARSS, 2011)

Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining. - Sildomar T. Monteiro; Joop van de Ven; Fabio Ramos 001; Peter Hatherly (IJCAI, 2011)

Automatic rock recognition from drilling performance data. - Hang Zhou 003; Peter Hatherly; Sildomar T. Monteiro; Fabio Ramos 001; Florian Oppolzer; Eric Nettleton; Steve Scheding (ICRA, 2012)

Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors. - Richard J. Murphy; Sildomar T. Monteiro; Sven Schneider 003 (IEEE Trans. Geosci. Remote. Sens., 2012)

Combining strong features for registration of hyperspectral and lidar data from field-based platforms. - Sildomar T. Monteiro; Juan I. Nieto 001; Richard J. Murphy; Rishi Ramakrishnan; Zachary Taylor (IGARSS, 2013)

Evaluating techniques for learning a feedback controller for low-cost manipulators. - Oliver M. Cliff; Sildomar T. Monteiro (IROS, 2013)

Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng. - Seong H. Lee; Sildomar T. Monteiro; Steven J. Scheding (WHISPERS, 2013)

Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination. - Richard J. Murphy; Sven Schneider 003; Sildomar T. Monteiro (Remote. Sens., 2014)

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. - Richard J. Murphy; Sven Schneider 003; Sildomar T. Monteiro (IEEE Trans. Geosci. Remote. Sens., 2014)

Robust stock value prediction using support vector machines with particle swarm optimization. - Trevor M. Sands; Deep Tayal; Matthew E. Morris; Sildomar T. Monteiro (CEC, 2015)

Classification of hyperspectral images based on conditional random fields. - Yang Hu; Eli Saber; Sildomar T. Monteiro; Nathan D. Cahill; David W. Messinger (Image Processing: Machine Vision Applications, 2015)

Comparing inference methods for conditional random fields for hyperspectral image classification. - Yang Hu; Sildomar T. Monteiro; Eli Saber (WHISPERS, 2015)

Editorial: Special issue on Alternative Sensing Techniques for Robot Perception. - Thierry Peynot; Sildomar T. Monteiro; Alonzo Kelly; Michel Devy (J. Field Robotics, 2015)

A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes. - Utsav B. Gewali; Sildomar T. Monteiro (ICIP, 2016)

Super pixel based classification using conditional random fields for hyperspectral images. - Yang Hu; Sildomar T. Monteiro; Eli Saber (ICIP, 2016)

Gaussian Processes for Object Detection in High Resolution Remote Sensing Images. - Yilong Liang; Sildomar T. Monteiro; Eli S. Saber (ICMLA, 2016)

Vehicle detection from aerial color imagery and airborne LiDAR data. - Yansong Liu; Sildomar T. Monteiro; Eli Saber (IGARSS, 2016)

Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields. - Utsav B. Gewali; Sildomar T. Monteiro (WHISPERS, 2016)

Multitask learning of vegetation biochemistry from hyperspectral data. - Utsav B. Gewali; Sildomar T. Monteiro (WHISPERS, 2016)

Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs. - Yansong Liu; Sankaranarayanan Piramanayagam; Sildomar T. Monteiro; Eli Saber (CVPR Workshops, 2017)

Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification. - Utsav B. Gewali; Sildomar T. Monteiro (IGARSS, 2017)

Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS. - Yansong Liu; Sankaranarayanan Piramanayagam; Sildomar T. Monteiro; Eli Saber (IGARSS, 2017)

Dual-Channel Densenet for Hyperspectral Image Classification. - Gefei Yang; Utsav B. Gewali; Emmett J. Ientilucci; Michael G. Gartley; Sildomar T. Monteiro (IGARSS, 2018)

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis. - Utsav B. Gewali; Sildomar T. Monteiro (CoRR, 2018)

Machine learning based hyperspectral image analysis: A survey. - Utsav B. Gewali; Sildomar T. Monteiro; Eli Saber (CoRR, 2018)

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth. - Utsav B. Gewali; Sildomar T. Monteiro; Eli Saber (Remote. Sens., 2019)

Spectral Super-Resolution with Optimized Bands. - Utsav B. Gewali; Sildomar T. Monteiro; Eli Saber (Remote. Sens., 2019)

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. - Nicholas Rober; Karan Mahesh; Tyler M. Paine; Max L. Greene; Steven Lee; Sildomar T. Monteiro; Michael R. Benjamin; Jonathan P. How (ICRA, 2024)

Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. - Karan Mahesh; Tyler M. Paine; Max L. Greene; Nicholas Rober; Steven Lee; Sildomar T. Monteiro; Anuradha Annaswamy; Michael R. Benjamin; Jonathan P. How (CoRR, 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)