检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

61 篇 会议
11 篇 期刊文献

馆藏范围

72 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

65 篇 工学
- 61 篇 计算机科学与技术...
- 24 篇 软件工程
- 10 篇 控制科学与工程
- 6 篇 电气工程
- 2 篇 信息与通信工程
- 1 篇 测绘科学与技术
- 1 篇 环境科学与工程（可...
5 篇 教育学
- 5 篇 教育学
- 1 篇 心理学(可授教育学...
4 篇 理学
- 2 篇 数学
- 2 篇 地球物理学
- 1 篇 天文学
2 篇 管理学
- 2 篇 管理科学与工程(可...
1 篇 医学
- 1 篇 临床医学

主题

72 篇 computational no...
18 篇 data science
6 篇 exploratory prog...
5 篇 jupyter
5 篇 machine learning
4 篇 visualization
3 篇 software visuali...
3 篇 jupyter notebook
3 篇 reproducibility
3 篇 exploratory data...
3 篇 artificial intel...
3 篇 data analysis
2 篇 insight communic...
2 篇 copilot
2 篇 paradigms
2 篇 visual analytics
2 篇 code history
2 篇 machine learning...
2 篇 human-ai collabo...
2 篇 education

机构

5 篇 univ washington ...
3 篇 univ waterloo wa...
3 篇 microsoft res re...
2 篇 univ michigan an...
2 篇 georgia inst tec...
2 篇 hong kong univ s...
2 篇 ibm res yorktown...
2 篇 microsoft res as...
2 篇 swiss fed inst t...
2 篇 virginia tech bl...
2 篇 mit csail cambri...
2 篇 univ utah salt l...
2 篇 univ glasgow gla...
2 篇 univ chicago il ...
2 篇 microsoft redmon...
2 篇 sichuan univ peo...
2 篇 univ calif san d...
2 篇 univ calif berke...
1 篇 univ calif san d...
1 篇 northwestern uni...

作者

5 篇 zhao jian
5 篇 wang april yi
4 篇 o'leary jasper t...
4 篇 barik titus
4 篇 hohman fred
4 篇 north chris
4 篇 oney steve
4 篇 brooks christoph...
3 篇 wenskovitch john
3 篇 peek nadya
3 篇 liu xuye
2 篇 wang dakuo
2 篇 drosos ian
2 篇 li haotian
2 篇 patel kayur
2 篇 ren donghao
2 篇 wongsuphasawat k...
2 篇 mcnutt andrew
2 篇 head andrew
2 篇 li xingjun

语言

72 篇 英文

检索条件"主题词=computational notebooks"

共 72 条记录，以下是51-60 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Towards Understanding Data Analysis Workflows using a Large Notebook Corpus 19

Towards Understanding Data Analysis Workflows using a Large ...

引用

ACM SIGMOD International Conference on Management of Data (SIGMOD)

作者： Rehman, Mohammed Suhail Univ Chicago Chicago IL 60637 USA

ISBN: (纸本)9781450356435

The advent of big data analysis as a profession as well as a hobby has brought an increase in novel forms of data exploration and analysis, particularly ad-hoc analysis. Analysis of raw datasets using frameworks such as pandas and R have become very popular [8]. Typically these types of workflows are geared towards ingesting and transforming data in an exploratory fashion in order to derive knowledge while minimizing time-to-insight. However, there exists very little work studying usability and performance concerns of such unstructured workflows.

关键词： computational notebooks dataworkflows lineage extraction

来源：评论

学校读者我要写书评

暂无评论

Shifting Left for Early Detection of Machine-Learning Bugs 25th

Shifting Left for Early Detection of Machine-Learning Bugs

引用

25th International Symposium on Formal Methods (FM)

作者： Liblit, Ben Luo, Linghui Molina, Alejandro Mukherjee, Rajdeep Patterson, Zachary Piskachev, Goran Schaf, Martin Tripp, Omer Visser, Willem Amazon Web Serv Arlington TX USA Amazon Web Serv Berlin Germany Amazon Seattle WA USA Univ Texas Dallas Richardson TX 75083 USA Amazon Web Serv Santa Clara CA USA Amazon Web Serv New York NY USA

ISBN: (纸本)9783031274800;9783031274817

computational notebooks are widely used for machine learning (ML). However, notebooks raise new correctness concerns beyond those found in traditional programming environments. ML library APIs are easy to misuse, and the notebook execution model raises entirely new problems concerning reproducibility. It is common to use static analyses to detect bugs and enforce best practices in software applications. However, when configured with new types of rules tailored to notebooks, these analyses can also detect notebook-specific problems. We present our initial efforts in understanding how static analysis for notebooks differs from analysis of traditional application software. We created six new rules for the CodeGuru Reviewer based on discussions with ML practitioners. We ran the tool on close to 10,000 experimentation notebooks, resulting in an average of approximately 1 finding per 7 notebooks. Approximately 60% of the findings that we reviewed are real notebook defects. (Due to confidentiality limitations, we cannot disclose the exact number of notebook files and findings.)

关键词： Static analysis computational notebooks Jupyter notebook Machine-learning bugs Bug finding Machine learning PyTorch CodeGuru reviewer

来源：评论

学校读者我要写书评

暂无评论

Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows

Leveraging Large Language Models to Enhance Domain Expert In...

引用

CHI Conference on Human Factors in Computing Sytems (CHI)

作者： Shih, Jasmine Y. Mohanty, Vishal Katsis, Yannis Subramonyam, Hari Stanford Univ Stanford CA 94305 USA IBM Res Yorktown Hts NY USA

ISBN: (纸本)9798400703317

Domain experts can play a crucial role in guiding data scientists to optimize machine learning models while ensuring contextual relevance for downstream use. However, in current workflows, such collaboration is challenging due to differing expertise, abstract documentation practices, and lack of access and visibility into low-level implementation artifacts. To address these challenges and enable domain expert participation, we introduce CellSync, a collaboration framework comprising (1) a Jupyter Notebook extension that continuously tracks changes to dataframes and model metrics and (2) a Large Language Model powered visualization dashboard that makes those changes interpretable to domain experts. Through CellSync's cell-level dataset visualization with code summaries, domain experts can interactively examine how individual data and modeling operations impact different data segments. The chat features enable data-centric conversations and targeted feedback to data scientists. Our preliminary evaluation shows that CellSync provides transparency and promotes critical discussions about the intents and implications of data operations.

关键词： Collaborative ML prompt engineering tabular datasets computational notebooks data subset visualization

来源：评论

学校读者我要写书评

暂无评论

Notes on notebooks: Is Jupyter the Bringer of Jollity?

Notes on Notebooks: Is Jupyter the Bringer of Jollity?

引用

ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward) Part of part of SPLASH Conference

作者： Singer, Jeremy Univ Glasgow Glasgow Lanark Scotland

ISBN: (纸本)9781450381789

As the interactive computational notebook becomes a more prominent code development medium, we examine advantages and disadvantages of this particular source code format. We specify the structure of a coding notebook layout. We describe complexities in notebook programming;some of these are incidental whereas others may be inherent complexities. We outline how we envisage research and development might proceed to advance the cause of notebook programming.

关键词： computational notebooks Jupyter

来源：评论

学校读者我要写书评

暂无评论

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials 23

Colaroid: A Literate Programming Approach for Authoring Expl...

引用

CHI conference on Human Factors in Computing Systems (CHI)

作者： Wang, April Yi Head, Andrew Zhang, Ashley Oney, Steve Brooks, Christopher Univ Michigan Ann Arbor MI 48109 USA Univ Penn Philadelphia PA USA

ISBN: (纸本)9781450394215

Multi-stage programming tutorials are key learning resources for programmers, using progressive incremental steps to teach them how to build larger software systems. A good multi-stage tutorial describes the code clearly, explains the rationale and code changes for each step, and allows readers to experiment as they work through the tutorial. In practice, it is time-consuming for authors to create tutorials with these attributes. In this paper, we introduce Colaroid, an interactive authoring tool for creating high quality multi-stage tutorials. Colaroid tutorials are augmented computational notebooks, where snippets and outputs represent a snapshot of a project, with source code differences highlighted, complete source code context for each snippet, and the ability to load and tinker with any stage of the project in a linked IDE. In two laboratory studies, we found Colaroid makes it easy to create multi-stage tutorials, while offering advantages to readers compared to video and web-based tutorials.

关键词： programming tutorials instruction computational notebooks

来源：评论

学校读者我要写书评

暂无评论

Notational Programming for Notebook Environments: A Case Study with Quantum Circuits 22

Notational Programming for Notebook Environments: A Case Stu...

引用

35th Annual ACM Symposium on User Interface Software and Technology (UIST)

作者： Arawjo, Ian DeArmas, Anthony J. Roberts, Michael Basu, Shrutarshi Parikh, Tapan Cornell Univ Ithaca NY 14853 USA Harvard Univ Cambridge MA USA Cornell Tech New York NY USA

ISBN: (纸本)9781450393201

We articulate a vision for computer programming that includes pen-based computing, a paradigm we term notational programming. Notational programming blurs contexts: certain typewritten variables can be referenced in handwritten notation and vice-versa. To illustrate this paradigm, we developed an extension, Notate, to computational notebooks which allows users to open drawing canvases within lines of code. As a case study, we explore quantum programming and designed a notation, Qaw, that extends quantum circuit notation with abstraction features, such as variable-sized wire bundles and recursion. Results from a usability study with novices suggest that users find our core interaction of implicit cross-context references intuitive, but suggests further improvements to debugging infrastructure, interface design, and recognition rates. Throughout, we discuss questions raised by the notational paradigm, including a shift from 'recognition' of notations to 'reconfiguration' of practices and values around programming, and from 'sketching' to writing and drawing, or what we call 'notating.'

关键词： programming paradigms pen-based interfaces computational notebooks quantum computing

来源：评论

学校读者我要写书评

暂无评论

Symphony: Composing Interactive Interfaces for Machine Learning 22

Symphony: Composing Interactive Interfaces for Machine Learn...

引用

CHI Conference on Human Factors in Computing Systems (CHI)

作者： Baeuerle, Alex Cabrera, Angel Alexander Hohman, Fred Maher, Megan Koski, David Suau, Xavier Barik, Titus Moritz, Dominik Ulm Univ Ulm Germany Carnegie Mellon Univ Pittsburgh PA USA Apple Seattle WA USA Apple Cupertino CA USA Apple Barcelona Spain Apple Pittsburgh PA USA

ISBN: (纸本)9781450391573

Interfaces for machine learning (ML), information and visualizations about models or data, can help practitioners build robust and responsible ML systems. Despite their benefits, recent studies of ML teams and our interviews with practitioners (n=9) showed that ML interfaces have limited adoption in practice. While existing ML interfaces are effective for specific tasks, they are not designed to be reused, explored, and shared by multiple stakeholders in cross-functional teams. To enable analysis and communication between different ML practitioners, we designed and implemented Symphony, a framework for composing interactive ML interfaces with task-specific, data-driven components that can be used across platforms such as computational notebooks and web dashboards. We developed Symphony through participatory design sessions with 10 teams (n=31), and discuss our findings from deploying Symphony to 3 production ML projects at Apple. Symphony helped ML practitioners discover previously unknown issues like data duplicates and blind spots in models while enabling them to share insights with other stakeholders.

关键词： Machine learning AI visualization documentation interactive programming computational notebooks

来源：评论

学校读者我要写书评

暂无评论

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists 24

JupyterLab in Retrograde: Contextual Notifications That High...

引用

ACM CHI Conference on Human Factors in Computing Sytems (CHI)

作者： Harrison, Galen Bryson, Kevin Bamba, Ahmad Emmanuel Balla Dovichi, Luca Binion, Aleksander Herrmann Borem, Arthur Ur, Blase Univ Virginia Charlottesville VA 22903 USA Univ Chicago Chicago IL USA

ISBN: (纸本)9798400703300

Current algorithmic fairness tools focus on auditing completed models, neglecting the potential downstream impacts of iterative decisions about cleaning data and training machine learning models. In response, we developed Retrograde, a JupyterLab environment extension for Python that generates real-time, contextual notifcations for data scientists about decisions they are making regarding protected classes, proxy variables, missing data, and demographic differences in model performance. Our novel framework uses automated code analysis to trace data provenance in JupyterLab, enabling these notifcations. In a between-subjects online experiment, 51 data scientists constructed loan-decision models with Retrograde providing notifcations continuously throughout the process, only at the end, or never. Retrograde's notifcations successfully nudged participants to account for missing data, avoid using protected classes as predictors, minimize demographic differences in model performance, and exhibit healthy skepticism about their models.

关键词： fairness data science computational notebooks Jupyter Notebook

来源：评论

学校读者我要写书评

暂无评论

The Future of Notebook Programming Is Fluid

The Future of Notebook Programming Is Fluid

引用

ACM CHI Conference on Human Factors in Computing Systems (CHI)

作者： Kery, Mary Beth Ren, Donghao Wongsuphasawat, Kanit Hohman, Fred Patel, Kayur Carnegie Mellon Univ Sch Comp Sci Pittsburgh PA 15213 USA Apple Inc Seattle WA USA Georgia Inst Technol Coll Comp Atlanta GA 30332 USA

ISBN: (纸本)9781450368193

A new kind of widget has begun appearing in the data science notebook programming community that can fluidly switch its own appearance between two representations: a graphical user interface (GUI) tool and plain textual code. Data scientists of all expertise levels routinely work in both visual GUIs (data visualizations or spreadsheets) and plaintext code (numerical, data manipulation, or machine learning libraries). These work tools have typically been separate. Here, we argue for the unique role and potential of fluid GUI/text programming to serve data work practices. We contribute a generalized method and API for robust fluid GUI/text coding in notebooks that addresses key questions in code generation and user interactions. Finally, we demonstrate the potential of our method in two notebook tool examples and a usability study with professional data science and machine learning practitioners.

关键词： Data Science Programming Machine Learning Programming Handoff computational notebooks

来源：评论

学校读者我要写书评

暂无评论

On the Design of AI-powered Code Assistants for notebooks 23

On the Design of AI-powered Code Assistants for Notebooks

引用

CHI conference on Human Factors in Computing Systems (CHI)

作者： McNutt, Andrew Wang, Chenglong DeLine, Rob Drucker, Steven M. Univ Chicago Chicago IL 60637 USA Microsoft Res Redmond WA USA

ISBN: (纸本)9781450394215

AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component of contemporary coding contexts. Among these environments, computational notebooks, such as Jupyter, are of particular interest as they provide rich interface afordances that interleave code and output in a manner that allows for both exploratory and presentational work. Despite their popularity, little is known about the appropriate design of code assistants in notebooks. We investigate the potential of code assistants in computational notebooks by creating a design space (reifed from a survey of extant tools) and through an interview-design study (with 15 practicing data scientists). Through this work, we identify challenges and opportunities for future systems in this space, such as the value of disambiguation for tasks like data visualization, the potential of tightly scoped domain-specifc tools (like linters), and the importance of polite assistants.

关键词： computational notebooks Artifcial Intelligence Code Assistant Copilot Design Probe

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共8页 << < 1 2 3 4 5 6 7 8 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：