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Design Patterns for Detecting and Mitigating Bias in Edge AI
Design Patterns for Detecting and Mitigating Bias in Edge AI
Tiny, Always-on, and Fragile
Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
Towards inclusive automatic speech recognition
Towards inclusive automatic speech recognition
Viewpoint Diversity in Search Results
Viewpoint Diversity in Search Results
Modeling and Analysis of SRAM PUF Bias Patterns in 14nm and 7nm FinFET Technology Nodes
Modeling and Analysis of SRAM PUF Bias Patterns in 14nm and 7nm FinFET Technology Nodes
The FATE System Iterated
The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case
The Effects of Crowd Worker Biases in Fact-Checking Tasks
The Effects of Crowd Worker Biases in Fact-Checking Tasks
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature
Mr thermometry accuracy and prospective imaging-based patient selection in mr-guided hyperthermia treatment for locally advanced cervical cancer
Mr thermometry accuracy and prospective imaging-based patient selection in mr-guided hyperthermia treatment for locally advanced cervical cancer
Asking Effective Questions
Asking Effective Questions: Awareness of Bias in Designerly Thinking
Pitfalls of Statistical Methods in Traffic Psychology
Pitfalls of Statistical Methods in Traffic Psychology
De (On)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen
De (On)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen
Evaluating the benefits of merging near-real-time satellite precipitation products
Evaluating the benefits of merging near-real-time satellite precipitation products: A case study in the Kinu basin region, Japan
Using the GOCE star trackers for validating the calibration of its accelerometers
Using the GOCE star trackers for validating the calibration of its accelerometers
Distributional theory for the DIA method
Distributional theory for the DIA method
Does RAIM with correct exclusion produce unbiased positions?
Does RAIM with correct exclusion produce unbiased positions?
Does single blind peer review hinder newcomers?
Does single blind peer review hinder newcomers?
GOCE gradiometer: Estimation of biases and scale factors of all six individual accelerometers by precise orbit determination
GOCE gradiometer: Estimation of biases and scale factors of all six individual accelerometers by precise orbit determination
Exploring the possibilities for star-tracker assisted calibration of the six individual GOCE accelerometers
Exploring the possibilities for star-tracker assisted calibration of the six individual GOCE accelerometers
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