TU3.PA1.8
Fully automatic Bayesian method for trainable activation function and deep neural networks
Mohamed Fakhfakh, Doctor / Université Clermont Auvergne (UCA), Tunisia; Lotfi chaari, Doctor / Toulouse INP, Tunisia
Session:
TU3.PA1: Biomedical Signal Processing and Bioinformatics Poster
Track:
BISA - Biomedical Image & Signal Analytics
Location:
Poster Area 1
Presentation Time:
Tue, 27 Aug, 16:30 - 18:10 France Time (UTC +1)
Session Chair:
Fabienne Porée, Univ Rennes, INSERM
Presentation
Discussion
Resources
No resources available.
Session TU3.PA1
TU3.PA1.1: Detecting Parkinson’s Disease Using Voice Recordings From Mobile Devices
Niloofar Momeni, Susanna Whitling, Andreas Jakobsson, Lund university, Sweden
TU3.PA1.2: SPEAKER-INDEPENDENT DEPRESSION DETECTION BASED ON ADVERSARIAL TRAINING METHOD
Minggang WANG, Shohei KATO, Nagoya Institute of Technology, Japan; Wen GU, Japan Advanced Institute of Science and Technology, Japan; Jun YAN, Fenghui REN, University of Wollongong, Australia
TU3.PA1.3: CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks
Patricia A. Apellániz, Juan Parras, Santiago Zazo, Universidad Politécnica de Madrid, Spain
TU3.PA1.4: COMBINING EEGNET WITH SPDNET TOWARDS AN END-TO-END ARCHITECTURE FOR IMAGINED SPEECH DECODING
Georgios Rousis, Aristotle University of Thessaloniki, Greece; Fotis Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece; Panagiotis Petrantonakis, Aristotle University of Thessaloniki, Greece
TU3.PA1.5: Phonocardiogram classification based on 1D CNN with pitch-shifting and signal uniformity techniques
Zafar Ahmad, National University of Sciences and Technology (NUST) Islamabad, Pakistan; Muhammad Salman Khan, Muhammad E. H Chowdhury, Qatar University Doha, Qatar, Qatar; Susu Zughaier, Qatar University, Qatar; Wanis Hamad Ibrahim, Hamad General Hospital, Qatar
TU3.PA1.6: DIRECTED GRAPH ANALYSIS ON THETA-GAMMA PHASE-AMPLITUDE COUPLING: INSIGHTS INTO PARKINSON DISEASE EEG DATA
Mohammadjavad Sedghizadeh, Mohammad Hossein Heidari Beni, Hamid Aghajan, Sharif University of Technology, imec–TELIN-IPI, Gent University, Belgium; Danilo Babin, Wilfried Philips, imec–TELIN-IPI, Gent University, Belgium
TU3.PA1.7: REPRESENTATION LEARNING BASED ON VARIATIONAL AUTOENCODERS FOR IMAGINED SPEECH CLASSIFICATION
Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Kobe University, Japan; Seiji Nakagawa, Chiba University, Japan
TU3.PA1.8: Fully automatic Bayesian method for trainable activation function and deep neural networks
Mohamed Fakhfakh, Doctor / Université Clermont Auvergne (UCA), Tunisia; Lotfi chaari, Doctor / Toulouse INP, Tunisia
TU3.PA1.9: Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes
Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Le Nguyen, Miguel Bordallo López, University of Oulu, Finland
TU3.PA1.10: A SENSITIVE COMPRESSION-BASED METHOD FOR FILTERING TARGETED FASTQ SEQUENCING READS
Maria J. P. Sousa, Armando J. Pinho, University of Aveiro, Portugal; Diogo Pratas, 1) University of Aveiro; 2) University of Helsinki., Portugal
TU3.PA1.11: A SORTING TOOL FOR IMPROVING FASTA DATA COMPRESSION TOOLS
Tiago Fonseca, Maria J. P. Sousa, Armando J. Pinho, University of Aveiro, Portugal; Diogo Pratas, 1) University of Aveiro; 2) University of Helsinki., Portugal