What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery | 0 | 0.34 | 2022 |
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. | 2 | 0.39 | 2018 |
RAPT: Rare Class Prediction in Absence of True Labels. | 3 | 0.70 | 2017 |
Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff | 1 | 0.35 | 2017 |
Discovery of Precursors to Adverse Events using Time Series Data. | 3 | 0.39 | 2016 |
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. | 0 | 0.34 | 2016 |
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation. | 2 | 0.46 | 2016 |
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems. | 2 | 0.37 | 2016 |
Large scale support vector regression for aviation safety | 0 | 0.34 | 2015 |
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. | 2 | 0.36 | 2013 |
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams | 23 | 0.77 | 2013 |
Pseudo-Label Generation for Multi-Label Text Classification. | 0 | 0.34 | 2011 |
Facing the reality of data stream classification: coping with scarcity of labeled data. | 39 | 1.74 | 2011 |
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach. | 2 | 0.38 | 2011 |
Efficient Keyword-Based Search for Top-K Cells in Text Cube | 11 | 0.61 | 2011 |
Fast and Flexible Multivariate Time Series Subsequence Search | 2 | 0.37 | 2010 |
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering | 2 | 0.37 | 2010 |
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study | 39 | 1.44 | 2010 |
Classification of aeronautics system health and safety documents | 8 | 0.54 | 2009 |
Discriminative Mixed-Membership Models | 7 | 0.46 | 2009 |
?-Anomica: A Fast Support Vector Based Novelty Detection Technique | 0 | 0.34 | 2009 |
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications | 24 | 1.16 | 2009 |
Learning to Improve Earth Observation Flight Planning | 0 | 0.34 | 2008 |
Classifier ensembles: Select real-world applications | 84 | 3.41 | 2008 |
Applications of ensemble methods | 3 | 0.41 | 2008 |
Online Bagging and Boosting. | 132 | 9.93 | 2005 |
Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings | 40 | 4.13 | 2005 |
AveBoost2: Boosting for Noisy Data | 18 | 0.82 | 2004 |
Classification of aircraft maneuvers for fault detection | 0 | 0.34 | 2003 |
Boosting with averaged weight vectors | 23 | 2.10 | 2003 |
Input decimated ensembles | 31 | 2.00 | 2003 |
Experimental comparisons of online and batch versions of bagging and boosting | 99 | 9.10 | 2001 |
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction | 32 | 1.62 | 2001 |
Online Ensemble Learning | 60 | 7.55 | 2000 |