Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mary Beth Kery"'
Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and resources, ML practitioners are forced to prioritize their model debugging and improvement efforts. Through intervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdf4ee7f90f8895339bac4fc71e96dba
http://arxiv.org/abs/2304.05967
http://arxiv.org/abs/2304.05967
Publikováno v:
UIST
We aim to increase the flexibility at which a data worker can choose the right tool for the job, regardless of whether the tool is a code library or an interactive graphical user interface (GUI). To achieve this flexibility, we extend computational n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09939114227703e421bb6dc89df4df7e
https://doi.org/10.1145/3379337.3415842
https://doi.org/10.1145/3379337.3415842
Publikováno v:
CHI
Successful machine learning (ML) applications require iterations on both modeling and the underlying data. While prior visualization tools for ML primarily focus on modeling, our interviews with 23 ML practitioners reveal that they improve model perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1157e2b450eae6d1dab0f26cdd82acc4
https://doi.org/10.1145/3313831.3376177
https://doi.org/10.1145/3313831.3376177
Autor:
Brad A. Myers, Mary Beth Kery, Mariann Nagy, Sachin Grover, Finn Voichick, Emily Zhou, Amber Horvath, Daye Nam, Sihan Dong, Shwetha Shinju
Publikováno v:
VL/HCC
Almost all software development revolves around the discovery and use of application programming interfaces (APIs). Once a suitable API is selected, programmers must begin the process of determining what functionality in the API is relevant to a prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48fb7c92971a17da07f8461766a0f401
https://doi.org/10.1109/vlhcc.2019.8818681
https://doi.org/10.1109/vlhcc.2019.8818681
Publikováno v:
CHI
Data scientists are responsible for the analysis decisions they make, but it is hard for them to track the process by which they achieved a result. Even when data scientists keep logs, it is onerous to make sense of the resulting large number of hist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::016a321e23d3bafe1841ad291d9de7e0
https://doi.org/10.1145/3290605.3300322
https://doi.org/10.1145/3290605.3300322
Autor:
Bonnie E. John, Mary Beth Kery, Melanie Feinberg, Timothy George, Samir Passi, Michael Muller, Steven J. Jackson
Publikováno v:
CHI Extended Abstracts
With the rise of big data, there has been an increasing need to understand who is working in data science and how they are doing their work. HCI and CSCW researchers have begun to examine these questions. In this workshop, we invite researchers to sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1c66940baee153c7809fd1d1556aa4
https://doi.org/10.1145/3290607.3299018
https://doi.org/10.1145/3290607.3299018
Publikováno v:
CHI Extended Abstracts
Despite almost all software development involving application programming interfaces (APIs), there is surprisingly little work on how people use APIs and how to evaluate and improve the usability of an API. One possible way of investigating the usabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16dbf08356ef14592ef4da714399199f
https://doi.org/10.1145/3290607.3312897
https://doi.org/10.1145/3290607.3312897
Autor:
Mary Beth Kery
Publikováno v:
VL/HCC
Although a wide range of professional and end-user programmers want to engage today with data science programming, this form of programming presents unique challenges. For instance, data science tasks typically require exploratory iterations: coding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b298f87affdbbafc401d5a2abb1e8fe9
https://doi.org/10.1109/vlhcc.2018.8506555
https://doi.org/10.1109/vlhcc.2018.8506555
Publikováno v:
VL/HCC
Application Programming Interfaces (APIs) are a rapidly growing industry and the usability of the APIs is crucial to programmer productivity. Although prior research has shown that APIs commonly suffer from significant usability problems, little atte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ea103705e6d9315f29796d464d4e18b
https://doi.org/10.1109/vlhcc.2018.8506523
https://doi.org/10.1109/vlhcc.2018.8506523
Autor:
Mary Beth Kery, Brad A. Myers
Publikováno v:
VL/HCC
Experimentation through code is central to data scientists' work. Prior work has identified the need for interaction techniques for quickly exploring multiple versions of the code and the associated outputs. Yet previous approaches that provide histo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff3a11e56a84395b779f57788ada5876
https://doi.org/10.1109/vlhcc.2018.8506576
https://doi.org/10.1109/vlhcc.2018.8506576