Deep Learning for EEG-Based Brain–Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain–Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices. This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Xiang Zhang is a postdoc fellow at Harvard University, working with Prof. Marinka Zitnik in Machine Intelligence for Medicine and Science (MIMS) lab. He received his PhD degree (in 2020) at School of Computer Science from the University of New South Wales (UNSW) while supervised by Dr Lina Yao. Xiang has a number of publications on the top venues including SIGKDD, ICDM, UbiComp, IJCAI, PerCom, AAAI, ACM TIST, and IEEE Internet of Things Journal. Moreover, Xiang has been awarded Google PhD Fellowship 2018 in Human Computer Interface on a super competitive basis (4 recipients in Australia among 57 recipients global). He was also selected for EPFL Engineering PhD Summit (11 winners out of 200+ applicants).Xiang's research interests lay in graph representation learning, data mining, and deep learning with focusing applications on neurological diagnosis, user authentication, biomedical sciences, health care, and Brain-Computer Interface (BCI).Lina Yao is currently a Scientia Senior Lecturer at School of Computer Science and Engineering, the University of New South Wales (UNSW). She was awarded Australia Research Council (ARC) Discovery Early Career Researcher Award (DECRA) and Inaugural Vice Chancellor's Women's Research Excellence Award (University of Adelaide) in 2015, and Scientia Fellowship (UNSW) in 2020.She currently serves as Associate Editor for ACM Transactions on Sensor Networks (TOSN) and PC members of several most prestigious data mining and machine learning international conferences including NeurIPS, KDD, SIGIR, AAAI, IJCAI, ICDM, and ACM MM. Lina has published around 200 papers on top journal and conferences, along with four books/chapters.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 17,52 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiGRATIS per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEJUNE24-233277
Quantità: 1 disponibili
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-116382
Quantità: 1 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26388179794
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 391420045
Quantità: 1 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18388179800
Quantità: 1 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781786349583
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 42293020-n
Quantità: 2 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. 340 pages. 9.00x6.00x0.69 inches. In Stock. This item is printed on demand. Codice articolo __1786349582
Quantità: 2 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 526. Codice articolo B9781786349583
Quantità: 2 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9781786349583_new
Quantità: 2 disponibili