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08/03/2023
Incorporating Recklessness to Collaborative Filtering based Recommender Systems
Recommender systems that include some reliability measure of their predi...
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03/17/2023
An evaluation framework for dimensionality reduction through sectional curvature
Unsupervised machine learning lacks ground truth by definition. This pos...
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10/05/2022
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering
Reliability measures associated to machine learning model predictions ar...
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09/05/2022
Dynamics of Fourier Modes in Torus Generative Adversarial Networks
Generative Adversarial Networks (GANs) are powerful Machine Learning mod...
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06/25/2022
Data Augmentation techniques in time series domain: A survey and taxonomy
With the latest advances in deep learning generative models, it has not ...
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10/29/2021
Improving the quality of generative models through Smirnov transformation
Solving the convergence issues of Generative Adversarial Networks (GANs)...
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07/30/2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Due to the growing rise of cyber attacks in the Internet, flow-based dat...
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07/27/2021
Deep Variational Models for Collaborative Filtering-based Recommender Systems
Deep learning provides accurate collaborative filtering models to improv...
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07/23/2021
Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering
In recent years, the qualitative research on empirical software engineer...
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06/22/2021
Machine learning for risk assessment in gender-based crime
Gender-based crime is one of the most concerning scourges of contemporar...
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01/07/2021
DevOps Team Structures: Characterization and Implications
Context: DevOps can be defined as a cultural movement to improve and acc...
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07/31/2020
Inter-Coder Agreement for Improving Reliability in Software Engineering Qualitative Research
In recent years, the research on empirical software engineering that use...
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06/17/2020
Deep Learning feature selection to unhide demographic recommender systems factors
Extracting demographic features from hidden factors is an innovative con...
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06/09/2020
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
The lack of bias management in Recommender Systems leads to minority gro...
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06/05/2020
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization
Recommender Systems are giving increasing importance to the beyond accur...
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05/20/2020
