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08/29/2023
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
An emerging definition of fairness in machine learning requires that mod...
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05/16/2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
In the current landscape of ever-increasing levels of digitalization, we...
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08/10/2022
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process
Within the field of prognostics and health management (PHM), health indi...
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04/29/2021
Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities
Neural networks (NNs) have shown high predictive performance, however, w...
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07/19/2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Prediction intervals are a machine- and human-interpretable way to repre...
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01/15/2020
Learning similarity measures from data
Defining similarity measures is a requirement for some machine learning ...
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08/09/2019
Probabilistic Models with Deep Neural Networks
Recent advances in statistical inference have significantly expanded the...
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02/01/2019
Forecasting Intra-Hour Imbalances in Electric Power Systems
Keeping the electricity production in balance with the actual demand is ...
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01/24/2019
Securing Tag-based recommender systems against profile injection attacks: A comparative study. (Extended Report)
This work addresses the challenges related to attacks on collaborative t...
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10/07/2018
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
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08/30/2018
Securing Tag-based recommender systems against profile injection attacks: A comparative study
This work addresses challenges related to attacks on social tagging syst...
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01/13/2018
Detecting Offensive Language in Tweets Using Deep Learning
This paper addresses the important problem of discerning hateful content...
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12/07/2017
A Deep Network Model for Paraphrase Detection in Short Text Messages
This paper is concerned with paraphrase detection. The ability to detect...
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07/07/2017
Bayesian Models of Data Streams with Hierarchical Power Priors
Making inferences from data streams is a pervasive problem in many moder...
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06/22/2017
Inter-Session Modeling for Session-Based Recommendation
In recent years, research has been done on applying Recurrent Neural Net...
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04/04/2017