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07/11/2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Automating the monitoring of industrial processes has the potential to e...
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06/26/2023
Video object detection for privacy-preserving patient monitoring in intensive care
Patient monitoring in intensive care units, although assisted by biosens...
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08/24/2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
The existence of adversarial attacks on convolutional neural networks (C...
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08/19/2022
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
With the spread of COVID-19 over the world, the need arose for fast and ...
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03/16/2021
Is it Enough to Optimize CNN Architectures on ImageNet?
An implicit but pervasive hypothesis of modern computer vision research ...
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04/28/2020
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling
We present preliminary results from our sixth placed entry to the Flatla...
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07/19/2019
Automated Machine Learning in Practice: State of the Art and Recent Results
A main driver behind the digitization of industry and society is the bel...
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10/12/2018
DeepScores and Deep Watershed Detection: current state and open issues
This paper gives an overview of our current Optical Music Recognition (O...
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07/13/2018
Deep Learning in the Wild
Deep learning with neural networks is applied by an increasing number of...
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07/11/2018
Learning Neural Models for End-to-End Clustering
We propose a novel end-to-end neural network architecture that, once tra...
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05/26/2018
Deep Watershed Detector for Music Object Recognition
Optical Music Recognition (OMR) is an important and challenging area wit...
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05/21/2018
Speaker Clustering Using Dominant Sets
Speaker clustering is the task of forming speaker-specific groups based ...
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03/27/2018
