Causal Learning From Predictive Modeling for Observational Data von Ramanan, Nandini, Natarajan, Sriraam

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Structure learning for relational logistic regression: an ensemble approach von Ramanan, Nandini, Kunapuli, Gautam, Khot, Tushar, Fatemi, Bahare, Kazemi, Seyed Mehran, Poole, David, Kersting, Kristian, Natarajan, Sriraam

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Active feature elicitation: An unified framework von Das, Srijita, Ramanan, Nandini, Kunapuli, Gautam, Radivojac, Predrag, Natarajan, Sriraam

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Few-Shot Induction of Generalized Logical Concepts via Human Guidance von Das, Mayukh, Ramanan, Nandini, Doppa, Janardhan Rao, Natarajan, Sriraam

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Relational Active Feature Elicitation for DDDAS von Ramanan, Nandini, Odom, Phillip, Blasch, Erik, Kersting, Kristian, Natarajan, Sriraam

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Boosted Embeddings for Time-Series Forecasting von Karingula, Sankeerth Rao, Ramanan, Nandini, Tahmasbi, Rasool, Amjadi, Mehrnaz, Jung, Deokwoo, Si, Ricky, Thimmisetty, Charanraj, Polania, Luisa F., Sayer, Marjorie, Taylor, Jake, Coelho, Claudionor Nunes

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TEMPORAL DRIFT DETECTION von Nunes Coelho Junior, Claudionor Jose, Ramanan, Nandini

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AUTOMATED ATTRIBUTE SCRAPING FOR SECURITY FEATURE IMPLEMENTATION PREDICTION von Ramanan, Nandini, Hewlett, II, William Redington, Mradul, Manish

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Contrastive Credibility Propagation for Reliable Semi-Supervised Learning von Kutt, Brody, Ramteke, Pralay, Mignot, Xavier, Toman, Pamela, Ramanan, Nandini, Chhetri, Sujit Rokka, Huang, Shan, Du, Min, Hewlett, William

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Real-time Drift Detection on Time-series Data von Ramanan, Nandini, Tahmasbi, Rasool, Sayer, Marjorie, Jung, Deokwoo, Hemachandran, Shalini, CoelhoJr, Claudionor Nunes

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One-Shot Induction of Generalized Logical Concepts via Human Guidance von Das, Mayukh, Ramanan, Nandini, Doppa, Janardhan Rao, Natarajan, Sriraam

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Time Series Anomaly Detection with label-free Model Selection von Jung, Deokwoo, Ramanan, Nandini, Amjadi, Mehrnaz, Karingula, Sankeerth Rao, Taylor, Jake, CoelhoJr, Claudionor Nunes

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AUTOMATED MACHINE LEARNING-BASED DETECTION OF CORRECT IMPLEMENTATIONS FOR CONFIGURAITON SETTINGS OF SOFTWARE-AS-A-SERVICE APPLICATIONS von Phadke, Anurag Mukund, Ramanan, Nandini, Hewlett, II, William Redington, Nandgaonkar, Mrunmayi Bharat, Rajkumar, Sreejith

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Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias von Thimmisetty, Charanraj, Tiwari, Praveen, de la Iglesia, Didac Gil, Ramanan, Nandini, Sayer, Marjorie, Ananthakrishnan, Viswesh, CoelhoJr, Claudionor Nunes

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MACHINE LEARNING ARCHITECTURE FOR DETECTING MALICIOUS FILES USING STREAM OF DATA von Kutt, Brody James, Huang, Shan, Chhetri, Sujit Rokka, Du, Min, Ramanan, Nandini, Hewlett, II, William Redington, Yang, Sheng

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Boosted Embeddings for Time Series Forecasting von Karingula, Sankeerth Rao, Ramanan, Nandini, Tahmasbi, Rasool, Amjadi, Mehrnaz, Jung, Deokwoo, Si, Ricky, Thimmisetty, Charanraj, Cabrera, Luisa Polania, Sayer, Marjorie, CoelhoJr, Claudionor Nunes

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Contrastive Credibility Propagation for Reliable Semi-Supervised Learning von Brody Kutt, Ramteke, Pralay, Mignot, Xavier, Toman, Pamela, Ramanan, Nandini, Sujit Rokka Chhetri, Huang, Shan, Du, Min, Hewlett, William

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MACHINE LEARNING ARCHITECTURE FOR DETECTING MALICIOUS FILES USING STREAM OF DATA von HEWLETT II, William Redington, KUTT, Brody James, DU, Min, YANG, Sheng, CHHETRI, Sujit Rokka, RAMANAN, Nandini, LI, Tung-Ling, HUANG, Shan

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Real-time Drift Detection on Time-series Data von Ramanan, Nandini, Tahmasbi, Rasool, Sayer, Marjorie, Jung, Deokwoo, Hemachandran, Shalini, Coelho, Claudionor Nunes

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One-Shot Induction of Generalized Logical Concepts via Human Guidance von Das, Mayukh, Ramanan, Nandini, Janardhan Rao Doppa, Natarajan, Sriraam

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