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07/28/2022
Sequential Models in the Synthetic Data Vault
The goal of this paper is to describe a system for generating synthetic ...
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12/10/2021
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series
Detecting anomalies in time-varying multivariate data is crucial in vari...
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08/04/2021
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
Machine learning (ML) is increasingly applied to Electronic Health Recor...
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04/17/2021
Attacking Text Classifiers via Sentence Rewriting Sampler
Most adversarial attack methods on text classification are designed to c...
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03/29/2021
Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations
Developers in data science and other domains frequently use computationa...
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03/24/2021
AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data
Anomaly detection plays a key role in air quality analysis by enhancing ...
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03/02/2021
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making
Machine learning (ML) is being applied to a diverse and ever-growing set...
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12/14/2020
Enabling collaborative data science development with the Ballet framework
While the open-source model for software development has led to successf...
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10/22/2020
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers
Most adversarial attack methods that are designed to deceive a text clas...
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10/21/2020
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities
Automated machine learning (AutoML) is essentially automating the proces...
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10/01/2020
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
An estimated 180 papers focusing on deep learning and EHR were published...
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09/16/2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
Time series anomalies can offer information relevant to critical situati...
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09/03/2019
Robust Invisible Video Watermarking with Attention
The goal of video watermarking is to embed a message within a video file...
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08/19/2019
Learning Fair Classifiers in Online Stochastic Settings
In many real life situations, including job and loan applications, gatek...
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07/01/2019
Modeling Tabular data using Conditional GAN
Modeling the probability distribution of rows in tabular data and genera...
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06/28/2019
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data
Most automation in machine learning focuses on model selection and hyper...
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05/22/2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development
As machine learning is applied more and more widely, data scientists oft...
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02/13/2019
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
To relieve the pain of manually selecting machine learning algorithms an...
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01/12/2019
SteganoGAN: Pushing the Limits of Image Steganography
Image steganography is a procedure for hiding messages inside pictures. ...
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01/12/2019
SteganoGAN: High Capacity Image Steganography with GANs
Image steganography is a procedure for hiding messages inside pictures. ...
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12/04/2018
Learning Vine Copula Models For Synthetic Data Generation
A vine copula model is a flexible high-dimensional dependence model whic...
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11/29/2018
Prediction Factory: automated development and collaborative evaluation of predictive models
In this paper, we present a data science automation system called Predic...
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11/27/2018
Synthesizing Tabular Data using Generative Adversarial Networks
Generative adversarial networks (GANs) implicitly learn the probability ...
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07/01/2018
Machine learning 2.0 : Engineering Data Driven AI Products
ML 2.0: In this paper, we propose a paradigm shift from the current prac...
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10/20/2017
