Search Results for author: Sten Hanke

Found 5 papers, 1 papers with code

Analysis of skin lesion images with deep learning

1 code implementation11 Jan 2021 Josef Steppan, Sten Hanke

Various deep neural network architectures pre-trained on the ImageNet data set are adapted to a combined training data set comprised of publicly available dermoscopic and clinical images of skin lesions using transfer learning and model fine-tuning.

Classification Data Augmentation +3

Modified Actor-Critics

no code implementations2 Jul 2019 Erinc Merdivan, Sten Hanke, Matthieu Geist

These algorithms iterate policy evaluation followed by a softened policy improvement step.

reinforcement-learning Reinforcement Learning (RL)

Image-based Natural Language Understanding Using 2D Convolutional Neural Networks

no code implementations24 Oct 2018 Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis, Sten Hanke, Johannes Kropf, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui, Matthieu Geist

We propose a new approach to natural language understanding in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global semantics of the sentences from the variations ofthe visual patterns of words.

General Classification Natural Language Understanding +4

Human Activity Recognition using Recurrent Neural Networks

no code implementations19 Apr 2018 Deepika Singh, Erinc Merdivan, Ismini Psychoula, Johannes Kropf, Sten Hanke, Matthieu Geist, Andreas Holzinger

Human activity recognition using smart home sensors is one of the bases of ubiquitous computing in smart environments and a topic undergoing intense research in the field of ambient assisted living.

BIG-bench Machine Learning Human Activity Recognition

A Deep Learning Approach for Privacy Preservation in Assisted Living

no code implementations22 Feb 2018 Ismini Psychoula, Erinc Merdivan, Deepika Singh, Liming Chen, Feng Chen, Sten Hanke, Johannes Kropf, Andreas Holzinger, Matthieu Geist

In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Living (AAL) environments.

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