How Data Scientists Review the Scholarly Literature

10 January 2023

Papers citing "How Data Scientists Review the Scholarly Literature"

8 / 8 papers shown

Title
Beyond Text: Characterizing Domain Expert Needs in Document Research Sireesh Gururaja Nupoor Gandhi Jeremiah Milbauer Emma Strubell 34 0 0 16 Apr 2025
ComLittee: Literature Discovery with Personal Elected Author Committees Hyeonsu B Kang Nouran Soliman Matt Latzke Joseph Chee Chang Jonathan Bragg 31 12 0 14 Feb 2023
Augmenting Scientific Creativity with an Analogical Search Engine Hyeonsu B Kang Xin-Yao Qian Tom Hope Dafna Shahaf Joel Chan A. Kittur 89 41 0 31 May 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 186 0 03 Feb 2022
Analysing Mixed Initiatives and Search Strategies during Conversational Search Mohammad Aliannejadi Leif Azzopardi Hamed Zamani Evangelos Kanoulas Paul Thomas Nick Craswell 62 37 0 13 Sep 2021
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery Jason Portenoy Marissa Radensky Jevin D. West Eric Horvitz Daniel S. Weld Tom Hope 92 31 0 12 Aug 2021
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology Xiaoyu Zhang Senthil K. Chandrasegaran K. Ma 33 24 0 11 Mar 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018