Search Results - "OZA, Nikunj C"
-
1
What you see is what you breathe? Estimating air pollution spatial variation using street level imagery
Published in Remote sensing (Basel, Switzerland) (17-07-2022)“…High spatial resolution information on urban air pollution levels is unavailable in many areas globally, partially due to high input data needs of existing…”
Get full text
Journal Article -
2
A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery
Published in Atmosphere (27-04-2022)“…High-spatial-resolution air quality (AQ) mapping is important for identifying pollution sources to facilitate local action. Some of the most populated cities…”
Get full text
Journal Article -
3
RAPT: Rare Class Prediction in Absence of True Labels
Published in IEEE transactions on knowledge and data engineering (01-11-2017)“…Many real-world problems involve learning models for rare classes in situations where there are no gold standard labels for training samples but imperfect…”
Get full text
Journal Article -
4
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets
Published in The Astrophysical journal (01-02-2022)“…Abstract The Kepler and Transiting Exoplanet Survey Satellite (TESS) missions have generated over 100,000 potential transit signals that must be processed in…”
Get full text
Journal Article -
5
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework
Published in Remote sensing (Basel, Switzerland) (01-01-2018)“…This paper presents an application of a novel machine-learning framework on MODIS (moderate-resolution imaging spectroradiometer) data to map burned areas over…”
Get full text
Journal Article -
6
Facing the reality of data stream classification: coping with scarcity of labeled data
Published in Knowledge and information systems (01-10-2012)“…Recent approaches for classifying data streams are mostly based on supervised learning algorithms, which can only be trained with labeled data. Manual labeling…”
Get full text
Journal Article -
7
Efficient Keyword-Based Search for Top-K Cells in Text Cube
Published in IEEE transactions on knowledge and data engineering (01-12-2011)“…Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked structures (e.g., a set of joined tuples) that are relevant to a…”
Get full text
Journal Article -
8
Rotor health monitoring combining spin tests and data-driven anomaly detection methods
Published in Structural health monitoring (01-01-2012)“…Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal…”
Get full text
Journal Article -
9
Input decimated ensembles
Published in Pattern analysis and applications : PAA (22-04-2003)Get full text
Journal Article -
10
Classifier ensembles: Select real-world applications
Published in Information fusion (2008)“…Broad classes of statistical classification algorithms have been developed and applied successfully to a wide range of real-world domains. In general, ensuring…”
Get full text
Journal Article -
11
The In-time Aviation Safety Management System Concept for Part 135 Operators
Published in 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC) (18-09-2022)“…Transformations of the National Airspace System, such as envisioned with Advanced Air Mobility, will enable improvements for managing and assuring safety for…”
Get full text
Conference Proceeding -
12
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams
Published in IEEE transactions on knowledge and data engineering (01-07-2013)“…Data stream classification poses many challenges to the data mining community. In this paper, we address four such major challenges, namely, infinite length,…”
Get full text
Journal Article -
13
Large scale support vector regression for aviation safety
Published in 2015 IEEE International Conference on Big Data (Big Data) (01-10-2015)“…Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and aviation. Support…”
Get full text
Conference Proceeding -
14
Online bagging and boosting
Published in 2005 IEEE International Conference on Systems, Man and Cybernetics (2005)“…Bagging and boosting are two of the most well-known ensemble learning methods due to their theoretical performance guarantees and strong experimental results…”
Get full text
Conference Proceeding -
15
Applications of ensemble methods
Published in Information fusion (2008)Get full text
Journal Article -
16
-
17
Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra
Published in IEEE transactions on geoscience and remote sensing (01-03-2005)“…Various instruments are used to create images of the earth and other objects in the universe in a diverse set of wavelength bands with the aim of understanding…”
Get full text
Journal Article -
18
-
19
Better Boosting with Bandits for Online Learning
Published 16-01-2020“…Probability estimates generated by boosting ensembles are poorly calibrated because of the margin maximization nature of the algorithm. The outputs of the…”
Get full text
Journal Article -
20
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets
Published 08-12-2021“…The kepler and TESS missions have generated over 100,000 potential transit signals that must be processed in order to create a catalog of planet candidates…”
Get full text
Journal Article