What you see is what you breathe? Estimating air pollution spatial variation using street level imagery von Suel, Esra, Sorek-Hamer, Meytar, Moise, Izabela, von Pohle, Michael, Sahasrabhojanee, Adwait, Asanjan, Ata Akbari, Arku, Raphael E, Alli, Abosede S, Barratt, Benjamin, Clark, Sierra N, Middel, Ariane, Deardorff, Emily, Lingenfelter, Violet, Oza, Nikunj, Yadav, Nishant, Ezzati, Majid, Brauer, Michael

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Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework von Mithal, Varun, Nayak, Guruprasad, Khandelwal, Ankush, Kumar, Vipin, Nemani, Ramakrishna, Oza, Nikunj

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RAPT: Rare Class Prediction in Absence of True Labels von Mithal, Varun, Nayak, Guruprasad, Khandelwal, Ankush, Oza, Nikunj C., Nemani, Ramakrishna

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ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets von Valizadegan, Hamed, Martinho, Miguel J. S., Wilkens, Laurent S., Jenkins, Jon M., Smith, Jeffrey C., Caldwell, Douglas A., Twicken, Joseph D., Gerum, Pedro C. L., Walia, Nikash, Hausknecht, Kaylie, Lubin, Noa Y., Bryson, Stephen T., 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 von 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

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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences von Boukabara, Sid-Ahmed, Krasnopolsky, Vladimir, Penny, Stephen G., Stewart, Jebb Q., McGovern, Amy, Hall, David, Ten Hoeve, John E., Hickey, Jason, Huang, Hung-Lung Allen, Williams, John K., Ide, Kayo, Tissot, Philippe, Haupt, Sue Ellen, Casey, Kenneth S., Oza, Nikunj, Geer, Alan J., Maddy, Eric S., Hoffman, Ross N.

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

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

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New Sensors and Techniques for the Structural Health Monitoring of Propulsion Systems von Matthews, Bryan, Oza, Nikunj, Abdul-Aziz, Ali, Woike, Mark

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Classifier ensembles: Select real-world applications von Oza, Nikunj C., Tumer, Kagan

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

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Input decimated ensembles von TUMER, Kagan, OZA, Nikunj C

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Boosting with Averaged Weight Vectors von Oza, Nikunj C.

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AveBoost2: Boosting for Noisy Data von Oza, Nikunj C.

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Which Is the Best Multiclass SVM Method? An Empirical Study von Duan, Kai-Bo, Keerthi, S. Sathiya

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Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams von Masud, M. M., Qing Chen, Khan, L., Aggarwal, C. C., Jing Gao, Jiawei Han, Srivastava, A., Oza, N. C.

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Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions von Yadav, Nishant, Sorek-Hamer, Meytar, Von Pohle, Michael, Asanjan, Ata Akbari, Sahasrabhojanee, Adwait, Suel, Esra, E Arku, Raphael, Lingenfelter, Violet, Brauer, Michael, Ezzati, Majid, Oza, Nikunj, Ganguly, Auroop R.

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Online bagging and boosting von Oza, N.C.

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Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings von Oza, Nikunj C, Polikar, Robi, Kittler, Josef, Roli, Fabio

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Diagnosis of Fault Modes Masked by Control Loops with an Application to Autonomous Hovercraft Systems von Ioannis A. Raptis, Rodney Martin, Robert Mah, Nikunj Oza, Dimitri Mavris, Sehwan Oh, Kilsoo Kim, Young-Ki Lee, Christopher Sconyers, George J. Vachtsevanos

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