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Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code

Priti Oli, Rabin Banjade, Lasang Jimba Tamang, Vasile Rus
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
We present in this paper an automated method to assess the quality of Jupyter notebooks. The quality of notebooks is assessed in terms of reproducibility and executability.  ...  Our results suggest that semantic code embeddings can be used to determine with good performance the reproducibility and executability of Jupyter notebooks, and since they can be automatically derived,  ...  The opinions, findings, and results are solely the authors' and do not reflect those of NSF.  ... 
doi:10.32473/flairs.v34i1.128560 fatcat:quqr6bnferg7vpli7nasaoo6ne

Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses

Cristian D. González-Carrillo, Felipe Restrepo-Calle, Jhon J. Ramírez-Echeverry, Fabio A. González
2021 Sustainability  
Additionally, we report the experience of employing this tool in two artificial intelligence courses: Introduction to Intelligent Systems and Machine Learning.  ...  Jupyter notebooks provide an interactive programming environment that allows writing code, text, equations, and multimedia resources.  ...  The second objective is to report the experience of using the UNCode Jupyter notebook auto-grader in two Artificial Intelligence (AI) courses: Introduction to Intelligent Systems and Machine Learning.  ... 
doi:10.3390/su132112050 fatcat:mc3qe7gpuvaoxffttmjvgrutim

Document Automation Architectures and Technologies: A Survey [article]

Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi, Vijayan N. Nair
2021 arXiv   pre-print
academic research, and provides ideas that can lead to new research opportunities within the DA field in light of recent advances in artificial intelligence and deep neural networks.  ...  This paper surveys the current state of the art in document automation (DA).  ...  Jupyter notebooks contain live code, equations, visualizations, and text.  ... 
arXiv:2109.11603v1 fatcat:alqvdban5ndr7m3gjjtqqumk7y

A ROS-Based Open Tool for Intelligent Robotics Education

José M. Cañas, Eduardo Perdices, Lía García-Pérez, Jesús Fernández-Conde
2020 Applied Sciences  
The templates are coded as ROS nodes or as Jupyter Notebooks ready to use in the web browser.  ...  This paper presents an open-access platform for practical learning of intelligent robotics in engineering degrees: Robotics-Academy.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10217419 fatcat:wr6qgm4c4ndazdp7ou5zmuwk6m

Enhancing Research in Natural Hazards Engineering Through the DesignSafe Cyberinfrastructure

Ellen M. Rathje, Clint Dawson, Jamie E. Padgett, Jean-Paul Pinelli, Dan Stanzione, Pedro Arduino, Scott J. Brandenberg, Tim Cockerill, Maria Esteva, Fred L. Haan, Ahsan Kareem, Laura Lowes (+1 others)
2020 Frontiers in Built Environment  
These examples include electronic data reports that use Jupyter notebooks to allow researchers to interrogate data interactively within the web portal, computational workflows that integrate ensembles  ...  This paper provides an overview of the DesignSafe cyberinfrastructure and describes specific examples of the use of DesignSafe in research for natural hazards.  ...  the potential of artificial intelligence and machine learning techniques.  ... 
doi:10.3389/fbuil.2020.547706 fatcat:rm3hzvppfrepfhqjwir3zrrmcq

Pedagogical design of a digital teaching assistant in massive professional training for the digital economy

E. G. Andrianova, L. A. Demidova, P. N. Sovetov
2022 Российский технологический журнал  
; this also involved validation for compliance with coding style standards, along with metrics for assessing program complexity, etc.  ...  The solutions were checked using automated testing methods.Results. The developed structure of the proposed DTA system was presented.  ...  The use of Jupyter notebooks increased the interactivity of the online lectures delivered in a webinar format.  ... 
doi:10.32362/2500-316x-2022-10-3-7-23 fatcat:33recqq5xreurcbf3xluwmisnm

Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations [article]

Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist
2022 arXiv   pre-print
analysis of a corpus of over 6,000 Jupyter notebooks.  ...  In this paper, we propose Lodestar, an interactive computational notebook that allows users to quickly explore and construct new data science workflows by selecting from a list of automated analysis recommendations  ...  s Jupyter notebook corpus [46] was of low quality: some notebooks had cells with a single line of code, or all of the source code in a single cell.  ... 
arXiv:2204.07876v1 fatcat:tzva7qrmojccbhxzdxeaf4k32u

IV. Future models [chapter]

2021 A New Science for Future  
(GCM) can provide us with projections of how the climate of the earth may change in the future.  ...  This infrastructural work was a major achievement and enabled the discovery and scientific proof of climate change.  ...  science is often associated with the contemporary challenges of 'big data' and opportunities in machine learning, deep learning and artificial intelligence to deal with it.  ... 
doi:10.1515/9783839452653-005 fatcat:m72rsfjhzrbsjhugplroh5rnde

Business Data Extraction Using a Programming Language

Fabio Bragato Do Carmo, Vinícius Medeiros Magnani, Rafael Confetti Gatsios, Fabiano Guasti Lima
2022 Theoretical Economics Letters  
The term Big Data, usually used to describe this volume of information, requires the user to have knowledge of multiple tools such as Excel, VBA, SQL, Tableau, Python, Spark, AWS, and so on.  ...  The main resource used will be Web Scraping, which is a method that aims to automate data collection via the web.  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/tel.2022.121011 fatcat:ler2joxgxzhsbk6qrupdhfaacy

Futzing and Moseying: Interviews with Professional Data Analysts on Exploration Practices

2018 IEEE Transactions on Visualization and Computer Graphics  
We report the results of interviewing thirty professional data analysts working in a range of industrial, academic, and regulatory environments.  ...  This study focuses on participants' descriptions of exploratory activities and tool usage in these activities.  ...  This work supported in part by a gift from Tableau and by supporters of the UC Berkeley AMPLab (https://amplab.cs.berkeley.edu/amp-sponsors/).  ... 
doi:10.1109/tvcg.2018.2865040 pmid:30136976 fatcat:5qgsovbdgrdcnh3bqt2hvwwlmi

Towards reproducible computational drug discovery

Nalini Schaduangrat, Samuel Lampa, Saw Simeon, Matthew Paul Gleeson, Ola Spjuth, Chanin Nantasenamat
2020 Journal of Cheminformatics  
This review explores the following topics: (1) the current state-of-the-art on reproducible research, (2) research documentation (e.g. electronic laboratory notebook, Jupyter notebook, etc.), (3) science  ...  It is therefore inevitable that the field of computational drug design would adopt an open approach towards the collection, curation and sharing of data/code.  ...  Sirarat Sarntivijai from the European Bioinformatics Institute and Dr. Likit Preeyanon from the Department of Community Medical Technology for fruitful discussions.  ... 
doi:10.1186/s13321-020-0408-x pmid:33430992 fatcat:bvdcvjhi4jhlnifpc25t6cjthq

MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research

Milton Hoz de Vila, Rahman Attar, Marco Pereanez, Alejandro F. Frangi
2018 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
An exemplary use-case in the area of cardiac image analysis will be presented together with the practical application of the platform for the analysis of ~20.000 subjects of the UK-Biobank database.  ...  With the exponential growth of clinical data, and the fast development of AI technologies, researchers are facing unprecedented challenges in managing data storage, scalable processing, and analysis capabilities  ...  CURRENT CHALLENGES The implementation of precision medicine solutions, supported by Artificial Intelligence (AI) technologies and applied over medical big data is at a nascent stage [3, 4] .  ... 
doi:10.1109/bibm.2018.8621317 dblp:conf/bibm/VilaAPF18 fatcat:x3wewucqjfbkvfzp3gfuzv426q

Student destraction detection Project Thesis.pdf

Zeeshan Keerio
2021 figshare.com  
It uses only information provided by the typical built-in web-camera present in a laptop computer, and was designed to work in real time.  ...  We combine information about the movements of the eyes and head, and facial emotions to produce a concentration index with three classes of engagement: "very engaged", "nominally engaged" and "not engaged  ...  Notebook: The Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text.  ... 
doi:10.6084/m9.figshare.14130023.v1 fatcat:ednzq3ijrvbqfanofphdh4vyyq

Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs [article]

Johannes Otterbach, Thomas Wollmann
2021 arXiv   pre-print
Subsequently, we present how one can use a templatable framework in order to automate the experiment iteration cycle, as well as close the gap between development and deployment.  ...  Finally, we touch on our testing framework component allowing us to investigate common model failure modes and support best practices of model deployment governance.  ...  Acknowledgements The research leading to these results is funded by EU ECSEL Project SECREDAS Cyber Security for Cross Domain Reliable Dependable Automated Systems (Grant Number: 783119).  ... 
arXiv:2105.03669v1 fatcat:4zrkui5qtnc5xl6zl3bswrr7qa

A Law School Course in Applied Legal Analytics and AI

Kevin Ashley, Jaromir Savelka, Matthias Grabmair
2021 Law in context (Bundoora, Vic.)  
Technological advances in artificial intelligence (AI) are affecting the legal profession.  ...  use and evaluate them, and law faculties face the question of how to teach law students the required skills and knowledge to do so.  ...  In Daniel Linna's Artificial Intelligence and Legal Reasoning class, for example, an aim is to develop a framework for assessing artificial intelligence as used for legal-services delivery like that in  ... 
doi:10.26826/law-in-context.v37i1.125 fatcat:hogoo644pbfkhdbd5sjubqcckq
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