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Full-Text Articles in Physical Sciences and Mathematics

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 5, Raffi T. Khatchadourian Nov 2020

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 5, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Collections In Scala, Raffi T. Khatchadourian Oct 2020

Collections In Scala, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 4, Raffi T. Khatchadourian Oct 2020

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 4, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 3, Raffi T. Khatchadourian Oct 2020

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 3, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Csci 49380/79526: Fundamentals Of Reactive Programming- Assignment 1, Raffi T. Khatchadourian Oct 2020

Csci 49380/79526: Fundamentals Of Reactive Programming- Assignment 1, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Csci 49380/79526: Fundamentals Of Reactive Programming- Syllabus, Raffi T. Khatchadourian Oct 2020

Csci 49380/79526: Fundamentals Of Reactive Programming- Syllabus, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 2, Raffi T. Khatchadourian Oct 2020

Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 2, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Inheritance Details In Scala, Raffi T. Khatchadourian Sep 2020

Inheritance Details In Scala, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


An Empirical Study Of Refactorings And Technical Debt In Machine Learning Systems, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja Aug 2020

An Empirical Study Of Refactorings And Technical Debt In Machine Learning Systems, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja

Publications and Research

Machine Learning (ML), including Deep Learning (DL), systems, i.e., those with ML capabilities, are pervasive in today's data-driven society. Such systems are complex; they are comprised of ML models and many subsystems that support learning processes. As with other complex systems, ML systems are prone to classic technical debt issues, especially when such systems are long-lived, but they also exhibit debt specific to these systems. Unfortunately, there is a gap of knowledge in how ML systems actually evolve and are maintained. In this paper, we fill this gap by studying refactorings, i.e., source-to-source semantics-preserving program transformations, performed in real-world, open-source …


Geometry Aided Sonification, Michael Tecce Jul 2020

Geometry Aided Sonification, Michael Tecce

Computer Science Summer Fellows

Sonification is the process of deriving an audio representation of a time series which conveys important information about that time series. Otology and vision science have established that humans process audio information more quickly than visual information, and sonification can convey data to the visually impaired. In our work, we implement pipelines using Python/Numpy, and we handle both ordinary 1D time series and multivariate time series. For 1D time series, we find that using data to modulate the pitch or timing of preselected sounds (such as sine waves) simply and effectively captures repeating patterns and anomalies/outliers within the data. To …


An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray Apr 2020

An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray

Publications and Research

Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential …


Data For The Review Of Gamified Fitness Tracker Apps, Aatish Neupane, Derek Hansen, Anud Sharma, Jerry Alan Fails Jan 2020

Data For The Review Of Gamified Fitness Tracker Apps, Aatish Neupane, Derek Hansen, Anud Sharma, Jerry Alan Fails

ScholarsArchive Data

This is a supplemental dataset to a paper that reviews 103 gamified fitness tracker apps and analyzes the presence and usage of various game elements. This dataset contains the list of those apps that were reviewed. It also contains the coding that represents the presence of difference game elements.