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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Publication

Multimodal Interaction for Data Visualization

Bongshin Lee, Arjun Srinivasan, John Stasko, Melanie Tory, Vidya Setlur

Proceedings of the 2018 International Conference on Advanced Visual Interfaces | May 2018

Project

Publication

Personal Data Exploration with Speech on Mobile Devices

Eun Kyoung Choe, Bongshin Lee, Seung-won Hwang

May 2018

Project Project

Publication

Hooked on Data Videos: Assessing the Effect of Animation and Pictographs on Viewer Engagement

Fereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Jason Leboe-McGowan, Pourang Irani

AVI ’18 Proceedings of the 2018 International Conference on Advanced Visual Interfaces | May 2018

Project

Publication

Design and Implementation of a Smart Headband for Epileptic Seizure Detection and Its Verification Using Clinical Database

Shih-kai Lin, Isti Qomah, Yu-shan Lin, Herming Chiueh, Chin-Yew Lin

International Symposium on Circuits and Systems | May 2018

Publication

Computation Reuse in Analytics Job Service at Microsoft

Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao

2018 International Conference on Management of Data | May 2018

Project Project Project

Project

DCI – Distributed Causal Inference

Overview and Vision The Distributed Causal Inference (DCI) project explores ways to improve distributed systems technology and data query & storage functionality to enable and support answering causal inference questions from very-large-scale longitudinal and observational…

Publication

MLBench: Benchmarking Machine Learning Services Against Human Experts

Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang

Proceedings of the VLDB Endowment (VLDB 2018) | May 2018

Publication

Bridging Text Visualization and Mining: A Task-Driven Survey

Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fangxin Ouyang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) | May 2018

Publication

Ease.ml in Action: Towards Multi-tenant Declarative Learning Services

Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang

Proceedings of the VLDB Endowment (VLDB 2018) | May 2018

Video

Towards Autonomous AI-based Measurement Systems

May 2, 2018 | Miroslaw Staron

The availability of large data sets in software development and easy to use machine learning algorithms open up for new possibilities for measurement programs in large organizations. Instead of manually defining measurement goals, indicators or…

Towards Autonomous AI-based Measurement Systems

0:54:44

Data platforms and analytics

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