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09/04/2023
MLGuard: Defend Your Machine Learning Model!
Machine Learning (ML) is used in critical highly regulated and high-stak...
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07/04/2023
Garbage in, garbage out: Zero-shot detection of crime using Large Language Models
This paper proposes exploiting the common sense knowledge learned by lar...
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09/20/2022
Comparative analysis of real bugs in open-source Machine Learning projects – A Registered Report
Background: Machine Learning (ML) systems rely on data to make predictio...
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08/11/2022
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations
This paper demonstrates our vision for knowledge graphs that assist mach...
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06/24/2022
Signal Knowledge Graph
This paper presents an knowledge graph to assist in reasoning over signa...
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12/26/2020
Requirements of API Documentation: A Case Study into Computer Vision Services
Using cloud-based computer vision services is gaining traction, where de...
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08/19/2020
Threshy: Supporting Safe Usage of Intelligent Web Services
Increased popularity of `intelligent' web services provides end-users wi...
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07/17/2020
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects
Background: Meeting the growing industry demand for Data Science require...
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05/27/2020
Beware the evolving 'intelligent' web service! An integration architecture tactic to guard AI-first components
Intelligent services provide the power of AI to developers via simple RE...
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04/07/2020
Ranking Computer Vision Service Issues using Emotion
Software developers are increasingly using machine learning APIs to impl...
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01/28/2020
Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow
Intelligent services are becoming increasingly more pervasive; applicati...
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07/30/2019
What should I document? A preliminary systematic mapping study into API documentation knowledge
Background: Good API documentation facilities the development process, i...
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06/18/2019
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services
Recent advances in artificial intelligence (AI) and machine learning (ML...
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12/14/2018
Data Provenance for Sport
Data analysts often discover irregularities in their underlying dataset,...
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11/01/2017