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10/12/2020
Towards human performance on automatic motion tracking of infant spontaneous movements
Assessment of spontaneous movements can predict the long-term developmen...
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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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04/25/2020
EfficientPose: Scalable single-person pose estimation
Human pose estimation facilitates markerless movement analysis in sports...
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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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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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06/20/2018
Extracting News Events from Microblogs
Twitter stream has become a large source of information for many people,...
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05/22/2018
Context-Aware Sequence-to-Sequence Models for Conversational Systems
This work proposes a novel approach based on sequence-to-sequence (seq2s...
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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