5 citations · 9 across the 8 of their papers we have counts for
8 papers
When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes
Freek Hens, Amirhossein Sadough, Aleksa Bokšan +2
Surface electromyography (sEMG) sensors are widely used in human-computer interaction, yet the failure of a single sensor can compromise system usability. We propose a methodologic…
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
Amirhossein Sadough, Mahyar Shahsavari, Mark Wijtvliet +1
Anomaly detection (AD) plays a vital role across a wide range of real-world domains by identifying data instances that deviate from expected patterns, potentially signaling critica…
GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
Stijn Groenen, Marzieh Hassanshahi Varposhti, Mahyar Shahsavari
This work introduces GazeSCRNN, a novel spiking convolutional recurrent neural network designed for event-based near-eye gaze tracking. Leveraging the high temporal resolution, ene…
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs
Marzieh Hassanshahi Varposhti, Mahyar Shahsavari, Marcel van Gerven
Implementing AI algorithms on event-based embedded devices enables real-time processing of data, minimizes latency, and enhances power efficiency in edge computing. This research e…
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari +2
Neural-network processing in machine learning applications relies on layer synchronization. This is practiced even in artificial Spiking Neural Networks (SNNs), which are touted as…
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye +2
This paper presents the first application of spiking neural networks (SNNs) for the classification of chronic lower back pain (CLBP) using the EmoPain dataset. Our work has two mai…
Memristor nanodevice for unconventional computing:review and applications
Mahyar Shahsavari, Pierre Boulet
A memristor is a two-terminal nanodevice that its properties attract a wide community of researchers from various domains such as physics, chemistry, electronics, computer and neur…
evt_MNIST: A spike based version of traditional MNIST
Mazdak Fatahi, Mahmood Ahmadi, Mahyar Shahsavari +2
Benchmarks and datasets have important role in evaluation of machine learning algorithms and neural network implementations. Traditional dataset for images such as MNIST is applied…