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DaSH@KDD
2021
2021
2021
Keyphrases
Publications
2021
3rd Workshop on Data Science with Human in the Loop, DaSH@KDD, Virtual Conference, August 15, 2021.
DaSH@KDD
(2021)
Harmanpreet Kaur
,
Harsha Nori
,
Samuel Jenkins
,
Rich Caruana
,
Hanna M. Wallach
,
Jennifer Wortman Vaughan
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.
DaSH@KDD
(2021)
Sumanth Prabhu
,
Moosa Mohamed
,
Hemant Misra
Multi-class Text Classification using BERT-based Active Learning.
DaSH@KDD
(2021)
Q. Vera Liao
Question-Driven eXplainable AI: Re-framing the Technical and Design Spaces of XAI.
DaSH@KDD
(2021)
Donato Tiano
,
Angela Bonifati
,
Raymond Ng
Human-Centered Clustering for Time Series Data.
DaSH@KDD
(2021)
Harald Hammarström
Gramfinder: Human and Machine Reading of Grammatical Descriptions of the Languages of the World.
DaSH@KDD
(2021)
Hang Jiang
,
Doug Beeferman
Topic-time heatmaps for human-in-the-loop topic detection and tracking.
DaSH@KDD
(2021)
Diarmuid Cahalane
,
Aisling Nugent
,
Paul Sweeney
,
Justin Walker
Skills Explorer: A Human+AI Approach to Data Capture for Skills.
DaSH@KDD
(2021)
2020
1st Workshop on Data Science with Human in the Loop, DaSH@KDD 2020, San Diego, California, USA, August 24, 2020.
DaSH@KDD
(2020)
Josh Andres
,
Christine T. Wolf
,
Michael J. Muller
,
Justin D. Weisz
,
Narendra Nath Joshi
,
Aabhas Sharma
,
Krissy Brimijoin
,
Michael Desmond
,
Zahra Ashktorab
,
Qian Pan
,
Evelyn Duesterwald
,
Casey Dugan
Cultivating Human Expertise Through AI-Assisted Data Science.
DaSH@KDD
(2020)
Diarmuid Cahalane
,
Patrick Connolly
,
Andrew Dalton
,
Bogdan Saceleanu
,
Medb Corcoran
Data Scientists and Designers Can Create The Jobs of The Future.
DaSH@KDD
(2020)
Teja Kanchinadam
,
Keith Westpfahl
,
Qian You
,
Glenn Fung
Rationale-based Human-in-the-Loop via Supervised Attention.
DaSH@KDD
(2020)
Maeda F. Hanafi
,
Azza Abouzied
,
Marina Danilevsky
,
Yunyao Li
WhyFlow: Explaining Errors in Data Flows Interactively.
DaSH@KDD
(2020)
Justin D. Weisz
,
Michael J. Muller
The Next Decade of Data Science.
DaSH@KDD
(2020)
Eric Bunch
,
Qian You
,
Glenn Fung
Human-In-The-Loop Topic Discovery with Embedded Text Representations.
DaSH@KDD
(2020)
Bhavya Ghai
,
Q. Vera Liao
,
Yunfeng Zhang
,
Klaus Mueller
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation.
DaSH@KDD
(2020)
Nikolaos Lagos
,
José Miguel Pérez-Álvarez
,
Michel Langlais
,
Adrian Mos
Towards a What-If System for Point-Of-Interest Categorisation.
DaSH@KDD
(2020)
Hamsa Shwetha Venkataram
,
Ian Colwell
,
Steven Liu
,
Philip Southam
,
Chris Mattmann
,
Tom Söderström
Names Don't Fly: Smart Filters for Profanity Detection and Classification in User-Generated Content.
DaSH@KDD
(2020)
Subhajit Das
,
Florina Dutt
InMacs: Interactive modeling and comparison of sentiments from sequence data.
DaSH@KDD
(2020)
Dakuo Wang
,
Josh Andres
,
Justin D. Weisz
,
Erick Oduor
,
Udayan Khurana
,
Horst Samulowitz
,
Arunima Chaudhary
,
Abel N. Valente
,
Dustin Ramsey Torres
,
Casey Dugan
IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.
DaSH@KDD
(2020)
Kun Qian
,
Lucian Popa
,
Yunyao Li
An Intuitive User Interface for Human-in-the-loop Entity Name Parsing and Entity Variant Generation.
DaSH@KDD
(2020)