| 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 |
