8 citations · 13 across the 19 of their papers we have counts for
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Temporal Cardiovascular Dynamics for Improved PPG-Based Heart Rate Estimation
Berken Utku Demirel, Christian Holz
The oscillations of the human heart rate are inherently complex and non-linear -- they are best described by mathematical chaos, and they present a challenge when applied to the pr…
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Berken Utku Demirel, Christian Holz
Self-supervised learning (SSL) has emerged as a powerful paradigm for learning representations without labeled data. Most SSL approaches rely on strong, well-established, handcraft…
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Berken Utku Demirel, Christian Holz
Deep learning models lack shift invariance, making them sensitive to input shifts that cause changes in output. While recent techniques seek to address this for images, our finding…
An Unsupervised Approach for Periodic Source Detection in Time Series
Berken Utku Demirel, Christian Holz
Detection of periodic patterns of interest within noisy time series data plays a critical role in various tasks, spanning from health monitoring to behavior analysis. Existing lear…
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
Berken Utku Demirel, Christian Holz
The success of contrastive learning is well known to be dependent on data augmentation. Although the degree of data augmentations has been well controlled by utilizing pre-defined…
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
Valentin Bieri, Paul Streli, Berken Utku Demirel +1
We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG). W…
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
Mohanad Odema, Nafiul Rashid, Berken Utku Demirel +1
Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs) endure the dilemma of workload distribution within them. Previous solutions proposed to d…
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque
Human Activity Recognition (HAR) is one of the key applications of health monitoring that requires continuous use of wearable devices to track daily activities. This paper proposes…