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03/22/2021
Energy Disaggregation using Variational Autoencoders
Non-intrusive load monitoring (NILM) is a technique that uses a single s...
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12/16/2020
Measuring Disentanglement: A Review of Metrics
Learning to disentangle and represent factors of variation in data is an...
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04/13/2020
Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks
In 5G networks, the Cloud Radio Access Network (C-RAN) is considered a p...
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07/04/2019
Early Detection for Optimal-Latency Communications in Multi-Hop Links
Modern wireless machine-to-machine-type communications aim to provide bo...
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10/06/2017
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
A growing number of applications, e.g. video surveillance and medical im...
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12/11/2016
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning...
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10/04/2016
