SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary von Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, Chawla, Nitesh V.

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Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence von Wang, Daheng, Zhang, Zhihan, Ma, Yihong, Zhao, Tong, Jiang, Tianwen, Chawla, Nitesh V., Jiang, Meng

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Exploring and exploiting disease interactions from multi-relational gene and phenotype networks von Davis, Darcy A, Chawla, Nitesh V

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On the use of real-world datasets for reaction yield prediction von Saebi, Mandana, Nan, Bozhao, Herr, John E, Wahlers, Jessica, Guo, Zhichun, Zura ski, Andrzej M, Kogej, Thierry, Norrby, Per-Ola, Doyle, Abigail G, Chawla, Nitesh V, Wiest, Olaf

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DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data von Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh V.

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Predicting terrorist attacks in the United States using localized news data von Krieg, Steven J, Smith, Christian W, Chatterjee, Rusha, Chawla, Nitesh V

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SMOTE: Synthetic Minority Over-sampling Technique von Chawla, N. V., Bowyer, K. W., Hall, L. O., Kegelmeyer, W. P.

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Evaluation and Analysis of Elastic and Mechanical Characteristics of Hybrid Composite Incorporating Banana Fiber, Kenaf Fiber, and Nano-CaCO3 von Saxena, Tanvi, Chawla, V. K.

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Social network structure is predictive of health and wellness von Lin, Suwen, Faust, Louis, Robles-Granda, Pablo, Kajdanowicz, Tomasz, Chawla, Nitesh V

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Deviations from normal bedtimes are associated with short-term increases in resting heart rate von Faust, Louis, Feldman, Keith, Mattingly, Stephen M., Hachen, David, V. Chawla, Nitesh

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Examining the weekend effect across ICU performance metrics von Faust, Louis, Feldman, Keith, Chawla, Nitesh V

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Fault detection in rotating elements by using fuzzy integrated improved local binary pattern method von Yadav, Ekta, Chawla, V. K.

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A network's gender composition and communication pattern predict women's leadership success von Yang, Yang, Chawla, Nitesh V, Uzzi, Brian

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Introduction to the Special Track on Artificial Intelligence and COVID-19 von Michalowski, Martin, Moskovitch, Robert, Chawla, Nitesh V.

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Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier von Mursalin, Md, Zhang, Yuan, Chen, Yuehui, Chawla, Nitesh V

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Automatically countering imbalance and its empirical relationship to cost von Chawla, Nitesh V., Cieslak, David A., Hall, Lawrence O., Joshi, Ajay

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Multi-load AGVs scheduling by application of modified memetic particle swarm optimization algorithm von Chawla, V. K., Chanda, A. K., Angra, S.

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Rs12970134 near MC4R is associated with appetite and beverage intake in overweight and obese children: A family-based association study in Chinese population von Wang, Shuo, Song, Jieyun, Yang, Yide, Chawla, Nitesh V, Ma, Jun, Wang, Haijun

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Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework von Chawla, Nitesh V., Davis, Darcy A.

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Recipe Recommendation With Hierarchical Graph Attention Network von Tian, Yijun, Zhang, Chuxu, Metoyer, Ronald, Chawla, Nitesh V

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