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VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models


Aug 04, 2021
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni

* Accepted to IEEE VIS 2021, To Appeal in IEEE Transactions on Visualization and Computer Graphics 

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Attacking Text Classifiers via Sentence Rewriting Sampler


Apr 17, 2021
Lei Xu, Kalyan Veeramachaneni


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Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making


Mar 02, 2021
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni


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Enabling collaborative data science development with the Ballet framework


Dec 14, 2020
Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni


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A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities


Nov 01, 2020
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni

* 35 pages, survey article, 3 figures 

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Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers


Oct 22, 2020
Lei Xu, Ivan Ramirez, Kalyan Veeramachaneni


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Cardea: An Open Automated Machine Learning Framework for Electronic Health Records


Oct 01, 2020
Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni


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TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks


Sep 19, 2020
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

* Alexander Geiger and Dongyu Liu contributed equally 

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Robust Invisible Video Watermarking with Attention


Sep 03, 2019
Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni


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Learning Fair Classifiers in Online Stochastic Settings


Aug 19, 2019
Yi Sun, Ivan Ramirez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni


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Modeling Tabular data using Conditional GAN


Jul 01, 2019
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni


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MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data


Jun 28, 2019
Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni

* 12 pages 

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The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development


May 22, 2019
Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni


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ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning


Feb 13, 2019
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu

* Published in the ACM Conference on Human Factors in Computing Systems (CHI), 2019, Glasgow, Scotland UK 

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SteganoGAN: Pushing the Limits of Image Steganography


Jan 12, 2019
Kevin Alex Zhang, Alfredo Cuesta-Infante, Kalyan Veeramachaneni


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Learning Vine Copula Models For Synthetic Data Generation


Dec 04, 2018
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni


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Prediction Factory: automated development and collaborative evaluation of predictive models


Nov 29, 2018
Gaurav Sheni, Benjamin Schreck, Roy Wedge, James Max Kanter, Kalyan Veeramachaneni


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Synthesizing Tabular Data using Generative Adversarial Networks


Nov 27, 2018
Lei Xu, Kalyan Veeramachaneni


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Machine learning 2.0 : Engineering Data Driven AI Products


Jul 01, 2018
James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni


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Solving the "false positives" problem in fraud prediction


Oct 20, 2017
Roy Wedge, James Max Kanter, Santiago Moral Rubio, Sergio Iglesias Perez, Kalyan Veeramachaneni


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Likely to stop? Predicting Stopout in Massive Open Online Courses


Aug 14, 2014
Colin Taylor, Kalyan Veeramachaneni, Una-May O'Reilly


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