Zobrazeno 1 - 10
of 466
pro vyhledávání: '"Farzin Deravi"'
Autor:
Christoph Busch, Farzin Deravi, Dinusha Frings, Els Kindt, Ralph Lessmann, Alexander Nouak, Jean Salomon, Mateus Achcar, Fernando Alonso‐Fernandez, Daniel Bachenheimer, David Bethell, Josef Bigun, Matthew Brawley, Guido Brockmann, Enrique Cabello, Patrizio Campisi, Aleksandrs Cepilovs, Miles Clee, Mickey Cohen, Christian Croll, Andrzej Czyżewski, Bernadette Dorizzi, Martin Drahansky, Pawel Drozdowski, Catherine Fankhauser, Julian Fierrez, Marta Gomez‐Barrero, Georg Hasse, Richard Guest, Ekaterina Komleva, Sebastien Marcel, Gian Luca Marcialis, Laurent Mercier, Emilio Mordini, Stefance Mouille, Pavlina Navratilova, Javier Ortega‐Garcia, Dijana Petrovska, Norman Poh, Istvan Racz, Ramachandra Raghavendra, Christian Rathgeb, Christophe Remillet, Uwe Seidel, Luuk Spreeuwers, Brage Strand, Sirra Toivonen, Andreas Uhl
Publikováno v:
IET Biometrics, Vol 12, Iss 2, Pp 112-128 (2023)
Abstract Due to migration, terror‐threats and the viral pandemic, various EU member states have re‐established internal border control or even closed their borders. European Association for Biometrics (EAB), a non‐profit organisation, solicited
Externí odkaz:
https://doaj.org/article/2fa10a9261374d5583d65f3d8f88a47d
Autor:
Christoph Busch, Adam Czajka, Farzin Deravi, Pawel Drozdowski, Marta Gomez‐Barrero, Georg Hasse, Olaf Henniger, Els Kindt, Jascha Kolberg, Alexander Nouak, Kiran Raja, Raghavendra Ramachandra, Christian Rathgeb, Jean Salomon, Raymond Veldhuis
Publikováno v:
IET Biometrics, Vol 11, Iss 1, Pp 79-86 (2022)
Abstract The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)‐Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification and Aut
Externí odkaz:
https://doaj.org/article/78f9a79b351c40c0aea6bf478e1a3d13
Autor:
Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin, Girijesh Prasad
Publikováno v:
Brain Informatics, Vol 8, Iss 1, Pp 1-11 (2021)
Abstract Magnetoencephalography (MEG) has been combined with machine learning techniques, to recognize the Alzheimer’s disease (AD), one of the most common forms of dementia. However, most of the previous studies are limited to binary classificatio
Externí odkaz:
https://doaj.org/article/029afbddb6464c41975f8232c3136b33
Publikováno v:
Sensors, Vol 23, Iss 15, p 6707 (2023)
A novel instance-based algorithm for pattern classification is presented and evaluated in this paper. This new method is motivated by the challenge of pattern classifications where only limited and/or noisy training data are available. For every clas
Externí odkaz:
https://doaj.org/article/5f83fe7cee55491ba22fc3eea00294da
Publikováno v:
EURASIP Journal on Information Security, Vol 2020, Iss 1, Pp 1-14 (2020)
Abstract Background User interaction with a mobile device predominantly consists of touch motions, otherwise known as swipe gestures, which are used as a behavioural biometric modality to verify the identity of a user. Literature reveals promising ve
Externí odkaz:
https://doaj.org/article/cbcbd6f09c37409ca483c674e9492a32
Autor:
Su Yang, Farzin Deravi
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9287 (2022)
In this paper, a novel re-engineering mechanism for the generation of word embeddings is proposed for document-level sentiment analysis. Current approaches to sentiment analysis often integrate feature engineering with classification, without optimiz
Externí odkaz:
https://doaj.org/article/cdd6fb7bcf354760abe94f83f2620593
Publikováno v:
IEEE Access, Vol 7, Pp 49604-49613 (2019)
This paper introduces a novel feature extraction method for biometric recognition using EEG data and provides an analysis of the impact of electrode placements on performance. The feature extraction method is based on the wavelet transform of the raw
Externí odkaz:
https://doaj.org/article/465225bd06cc4a499565d27aafc4a9b1
Publikováno v:
Sensors, Vol 22, Iss 9, p 3365 (2022)
Despite the high performances achieved using deep learning techniques in biometric systems, the inability to rationalise the decisions reached by such approaches is a significant drawback for the usability and security requirements of many applicatio
Externí odkaz:
https://doaj.org/article/a37ac1056be64750af66928ab2e7dc69
Autor:
Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, Sanaul Hoque, KongFatt Wong-Lin, Girijesh Prasad
Publikováno v:
Sensors, Vol 21, Iss 18, p 6210 (2021)
Studies on developing effective neuromarkers based on magnetoencephalographic (MEG) signals have been drawing increasing attention in the neuroscience community. This study explores the idea of using source-based magnitude-squared spectral coherence
Externí odkaz:
https://doaj.org/article/92c7a159030d45adb21c64d5422120e3
Publikováno v:
In Computers in Human Behavior February 2016 55 Part B:1131-1144