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03/26/2023
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
Epilepsy is a chronic neurological disorder with a significant prevalenc...
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02/21/2023
Importance of methodological choices in data manipulation for validating epileptic seizure detection models
Epilepsy is a chronic neurological disorder that affects a significant p...
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12/19/2022
A Soft SIMD Based Energy Efficient Computing Microarchitecture
The ever-increasing size and computational complexity of today's machine...
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09/12/2022
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
By supporting the access of multiple memory words at the same time, Bit-...
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09/09/2022
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
Cough audio signal classification is a potentially useful tool in screen...
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06/09/2022
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration
HyperDimensional Computing (HDC) as a machine learning paradigm is highl...
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05/20/2022
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning
Analog in-memory computing (AIMC) cores offers significant performance a...
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05/16/2022
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
The healthcare landscape is moving from the reactive interventions focus...
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04/11/2022
VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices
Edge-computing requires high-performance energy-efficient embedded syste...
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01/24/2022
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
Wearable and unobtrusive monitoring and prediction of epileptic seizures...
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12/08/2021
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
Objective: Continuous monitoring of biosignals via wearable sensors has ...
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11/16/2021
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection
Long-term monitoring of patients with epilepsy presents a challenging pr...
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09/07/2021
Semiparametric Bayesian Networks
We introduce semiparametric Bayesian networks that combine parametric an...
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05/03/2021
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection
Hyperdimensional computing is a promising novel paradigm for low-power e...
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05/03/2021
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health
A person's passage of time perception (POTP) is strongly linked to their...
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04/29/2021
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals
Continuous and multimodal stress detection has been performed recently t...
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03/04/2021
The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems
RECIPE (REliable power and time-ConstraInts-aware Predictive management ...
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12/22/2020
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals
While Deep Learning (DL) is often considered the state-of-the art for Ar...
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11/08/2020
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors
The main design principles in computer architecture have recently shifte...
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09/24/2020
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms
Cough audio signal classification has been successfully used to diagnose...
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07/22/2019
