Search Results - "OZA, Nikunj C"

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    A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery by Sorek-Hamer, Meytar, von Pohle, Michael, Sahasrabhojanee, Adwait, Asanjan, Ata Akbari, Deardorff, Emily, Suel, Esra, Lingenfelter, Violet, Das, Kamalika, Oza, Nikunj, Ezzati, Majid, Brauer, Michael

    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…”
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    Journal Article
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    RAPT: Rare Class Prediction in Absence of True Labels by Mithal, Varun, Nayak, Guruprasad, Khandelwal, Ankush, Oza, Nikunj C., Nemani, Ramakrishna

    “…Many real-world problems involve learning models for rare classes in situations where there are no gold standard labels for training samples but imperfect…”
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    Journal Article
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    Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework by Mithal, Varun, Nayak, Guruprasad, Khandelwal, Ankush, Kumar, Vipin, Nemani, Ramakrishna, Oza, Nikunj

    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…”
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    Journal Article
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    Facing the reality of data stream classification: coping with scarcity of labeled data by Masud, Mohammad M., Woolam, Clay, Gao, Jing, Khan, Latifur, Han, Jiawei, Hamlen, Kevin W., Oza, Nikunj C.

    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…”
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    Journal Article
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    Efficient Keyword-Based Search for Top-K Cells in Text Cube by Bolin Ding, Bo Zhao, Lin, C. X., Jiawei Han, Chengxiang Zhai, Srivastava, A., Oza, N. C.

    “…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…”
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    Journal Article
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    Rotor health monitoring combining spin tests and data-driven anomaly detection methods by Abdul-Aziz, Ali, Woike, Mark R, Oza, Nikunj C, Matthews, Bryan L, lekki, John D

    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…”
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    Journal Article
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    Classifier ensembles: Select real-world applications by Oza, Nikunj C., Tumer, Kagan

    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…”
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    Journal Article
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    The In-time Aviation Safety Management System Concept for Part 135 Operators by Ellis, Kyle K., Prinzel, Lawrence J., Davies, Misty D., Krois, Paul A., Mah, Robert W., Oza, Nikunj C., Stephens, Chad L., Vincent, Michael J., Ackerson, James R., Indre Infeld, Samantha

    “…Transformations of the National Airspace System, such as envisioned with Advanced Air Mobility, will enable improvements for managing and assuring safety for…”
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    Conference Proceeding
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    Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams by Masud, M. M., Qing Chen, Khan, L., Aggarwal, C. C., Jing Gao, Jiawei Han, Srivastava, A., Oza, N. C.

    “…Data stream classification poses many challenges to the data mining community. In this paper, we address four such major challenges, namely, infinite length,…”
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    Journal Article
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    Large scale support vector regression for aviation safety by Das, Kamalika, Bhaduri, Kanishka, Matthews, Bryan L., Oza, Nikunj C.

    “…Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and aviation. Support…”
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    Conference Proceeding
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    Online bagging and boosting by Oza, N.C.

    “…Bagging and boosting are two of the most well-known ensemble learning methods due to their theoretical performance guarantees and strong experimental results…”
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    Conference Proceeding
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    Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra by Srivastava, A.N., Oza, N.C., Stroeve, J.

    “…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…”
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    Journal Article
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    Better Boosting with Bandits for Online Learning by Nikolaou, Nikolaos, Mellor, Joseph, Oza, Nikunj C, Brown, Gavin

    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…”
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    Journal Article
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    ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets by Valizadegan, Hamed, Martinho, Miguel, Wilkens, Laurent S, Jenkins, Jon M, Smith, Jeffrey, Caldwell, Douglas A, Twicken, Joseph D, Gerum, Pedro C, Walia, Nikash, Hausknecht, Kaylie, Lubin, Noa Y, Bryson, Stephen T, Oza, Nikunj C

    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…”
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    Journal Article