Sildomar T. Monteiro

40 papers A* 4A 1B 4C 10Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis.
IEEE Trans. Control. Syst. Technol.
Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How
2024 J jnl
A collective AI via lifelong learning and sharing at the edge.
Nat. Mac. Intell.
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, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
2024 A* conf
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances.
ICRA
Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
2024 J jnl
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis.
CoRR
Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How
2023 J jnl
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances.
CoRR
Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
2019 J jnl
Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth.
Remote. Sens.
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
2019 J jnl
Spectral Super-Resolution with Optimized Bands.
Remote. Sens.
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
2018 J jnl
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis.
CoRR
Utsav B. Gewali, Sildomar T. Monteiro
2018 C conf
Dual-Channel Densenet for Hyperspectral Image Classification.
IGARSS
Gefei Yang, Utsav B. Gewali, Emmett J. Ientilucci, Michael G. Gartley, Sildomar T. Monteiro
2018 J jnl
Machine learning based hyperspectral image analysis: A survey.
CoRR
Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber
2017 — conf
Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs.
CVPR Workshops
Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber
2017 C conf
Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS.
IGARSS
Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber
2017 C conf
Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification.
IGARSS
Utsav B. Gewali, Sildomar T. Monteiro
2016 B conf
A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes.
ICIP
Utsav B. Gewali, Sildomar T. Monteiro
2016 C conf
Gaussian Processes for Object Detection in High Resolution Remote Sensing Images.
ICMLA
Yilong Liang, Sildomar T. Monteiro, Eli S. Saber
2016 J jnl
Multitask Learning of Vegetation Biochemistry from Hyperspectral Data.
CoRR
Utsav B. Gewali, Sildomar T. Monteiro
2016 — conf
Multitask learning of vegetation biochemistry from hyperspectral data.
WHISPERS
Utsav B. Gewali, Sildomar T. Monteiro
2016 J jnl
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields.
CoRR
Utsav B. Gewali, Sildomar T. Monteiro
2016 — conf
Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields.
WHISPERS
Utsav B. Gewali, Sildomar T. Monteiro
2016 B conf
Super pixel based classification using conditional random fields for hyperspectral images.
ICIP
Yang Hu, Sildomar T. Monteiro, Eli Saber
2016 C conf
Vehicle detection from aerial color imagery and airborne LiDAR data.
IGARSS
Yansong Liu, Sildomar T. Monteiro, Eli Saber
2015 — conf
Classification of hyperspectral images based on conditional random fields.
Image Processing: Machine Vision Applications
Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger
2015 — conf
Comparing inference methods for conditional random fields for hyperspectral image classification.
WHISPERS
Yang Hu, Sildomar T. Monteiro, Eli Saber
2015 J jnl
Editorial: Special issue on Alternative Sensing Techniques for Robot Perception.
J. Field Robotics
Thierry Peynot, Sildomar T. Monteiro, Alonzo Kelly, Michel Devy
2015 B conf
Robust stock value prediction using support vector machines with particle swarm optimization.
CEC
Trevor M. Sands, Deep Tayal, Matthew E. Morris, Sildomar T. Monteiro
2014 J jnl
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.
IEEE Trans. Geosci. Remote. Sens.
Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro
2014 J jnl
Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination.
Remote. Sens.
Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro
2013 C conf
Combining strong features for registration of hyperspectral and lidar data from field-based platforms.
IGARSS
Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor
2013 A conf
Evaluating techniques for learning a feedback controller for low-cost manipulators.
IROS
Oliver M. Cliff, Sildomar T. Monteiro
2013 — conf
Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng.
WHISPERS
Seong H. Lee, Sildomar T. Monteiro, Steven J. Scheding
2012 A* conf
Automatic rock recognition from drilling performance data.
ICRA
Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding
2012 J jnl
Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors.
IEEE Trans. Geosci. Remote. Sens.
Richard J. Murphy, Sildomar T. Monteiro, Sven Schneider
2011 C conf
Embedded feature selection of hyperspectral bands with boosted decision trees.
IGARSS
Sildomar T. Monteiro, Richard J. Murphy
2011 B conf
Feature selection with PSO and kernel methods for hyperspectral classification.
IEEE Congress on Evolutionary Computation
Anthony S. J. Tjiong, Sildomar T. Monteiro
2011 A* conf
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining.
IJCAI
Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly
2010 C conf
3D geological modelling using laser and hyperspectral data.
IGARSS
Juan I. Nieto, Sildomar T. Monteiro, Diego Viejo
2010 A* conf
Automated rock recognition with wavelet feature space projection and Gaussian Process classification.
ICRA
Hang Zhou, Sildomar T. Monteiro, Peter Hatherly, Fabio T. Ramos, Eric Nettleton, Florian Oppolzer
2010 C conf
Calibrating probabilities for hyperspectral classification of rock types.
IGARSS
Sildomar T. Monteiro, Richard J. Murphy
2010 J jnl
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic.
IEEE Geosci. Remote. Sens. Lett.
Ali Kadkhodaie-Ilkhchi, Sildomar T. Monteiro, Fabio Ramos, Peter Hatherly
2009 C conf
Conditional Random Fields for Rock Characterization Using Drill Measurements.
ICMLA
Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly