Baca, E.E.S.
* 2014: Axiomatic Design Approach to Passenger Itinerary Enumeration in Reconfigurable Transportation Systems, An
Bacak, M.[Miroslav]
* 2019: Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs
Includes: Bacak, M.[Miroslav] Bacák, M.[Miroslav]
Bacao, F.[Fernando]
* 2017: Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector Machines
* 2019: Imbalanced Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm
* 2020: Spatial Data Science
* 2021: Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification
* 2021: Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review
Bacar, A.[Affane]
* 2020: Changing Patterns of Malaria in Grande Comore after a Drastic Decline: Importance of Fine-Scale Spatial Analysis to Inform Future Control Actions
Bacardit, J.[Jaume]
* 2017: Scaling-up multiobjective evolutionary clustering algorithms using stratification
Bacarian, T.
* 2005: Tracking Cell Signals in Fluorescent Images
Bacaro, G.[Giovanni]
* 2021: Use of Sentinel-2 Satellite Data for Windthrows Monitoring and Delimiting: The Case of Vaia Storm in Friuli Venezia Giulia Region (North-Eastern Italy)
* 2022: Use of Remote Sensing Techniques to Estimate Plant Diversity within Ecological Networks: A Worked Example
Bacastow, T.
* 2020: SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
Bacastow, T.M.[Todd M.]
* 2022: SpaceNet 8: The Detection of Flooded Roads and Buildings
Bacauskiene, M.[Marija]
* 1999: Soft combination of neural classifiers: A comparative study
* 2002: Feature selection with neural networks
* 2004: Selecting salient features for classification based on neural network committees
* 2005: Unsupervised colour image segmentation applied to printing quality assessment
* 2007: Categorizing Laryngeal Images for Decision Support
* 2007: Increasing the discrimination power of the co-occurrence matrix-based features
* 2009: feature selection technique for generation of classification committees and its application to categorization of laryngeal images, A
* 2011: Mining data with random forests: A survey and results of new tests
* 2012: Phase congruency-based detection of circular objects applied to analysis of phytoplankton images
* 2015: novel technique to extract accurate cell contours applied for segmentation of phytoplankton images, A
* 2018: Automatic benthic imagery recognition using a hierarchical two-stage approach
Includes: Bacauskiene, M.[Marija] Bacauskiene, M.
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