Journal ArticleDOI
Deep learning
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TLDR
Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.Abstract:
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.read more
Citations
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Journal ArticleDOI
Deep learning for healthcare applications based on physiological signals: A review.
TL;DR: This review paper depicts the application of various deep learning algorithms used till recently, but in future it will be used for more healthcare areas to improve the quality of diagnosis.
Posted Content
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim,Nguyen Cong Luong,Dinh Thai Hoang,Yutao Jiao,Ying-Chang Liang,Qiang Yang,Dusit Niyato,Chunyan Miao +7 more
TL;DR: In a large-scale and complex mobile edge network, heterogeneous devices with varying constraints are involved, this raises challenges of communication costs, resource allocation, and privacy and security in the implementation of FL at scale.
Journal ArticleDOI
Deep learning-based electroencephalography analysis: a systematic review.
Yannick Roy,Hubert Banville,Isabela Albuquerque,Alexandre Gramfort,Tiago H. Falk,Jocelyn Faubert +5 more
TL;DR: In this paper, the authors present a review of 154 studies that apply deep learning to EEG, published between 2010 and 2018, and spanning different application domains such as epilepsy, sleep, brain-computer interfacing, and cognitive and affective monitoring.
Journal ArticleDOI
Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Andrea Cossarizza,Hyun-Dong Chang,Andreas Radbruch,Andreas Acs,Dieter Adam,Sabine Adam-Klages,William W. Agace,William W. Agace,Nima Aghaeepour,Mübeccel Akdis,Matthieu Allez,Larissa Nogueira Almeida,Giorgia Alvisi,Graham Anderson,Immanuel Andrä,Francesco Annunziato,Achille Anselmo,Petra Bacher,Cosima T. Baldari,Sudipto Bari,Vincenzo Barnaba,Vincenzo Barnaba,Joana Barros-Martins,Luca Battistini,Wolfgang Bauer,Sabine Baumgart,Nicole Baumgarth,Dirk Baumjohann,Bianka Baying,Mary Bebawy,Burkhard Becher,Wolfgang Beisker,Vladimir Benes,Rudi Beyaert,Alfonso Blanco,Dominic A. Boardman,Christian Bogdan,Jessica G. Borger,Giovanna Borsellino,Philip E. Boulais,Jolene Bradford,Dirk Brenner,Dirk Brenner,Ryan R. Brinkman,Anna E. S. Brooks,Dirk H. Busch,Martin Büscher,Timothy P. Bushnell,Federica Calzetti,Garth Cameron,Ilenia Cammarata,Xuetao Cao,Susanna Cardell,Stefano Casola,Marco A. Cassatella,Andrea Cavani,Antonio Celada,Lucienne Chatenoud,Pratip K. Chattopadhyay,Sue Chow,Eleni Christakou,Eleni Christakou,Luka Cicin-Sain,Mario Clerici,Federico Colombo,Laura Cook,Anne Cooke,Andrea M. Cooper,Alexandra J. Corbett,Antonio Cosma,Lorenzo Cosmi,Pierre Coulie,Ana Cumano,Ljiljana Cvetkovic,Van Duc Dang,Chantip Dang-Heine,Martin S. Davey,Derek Davies,Sara De Biasi,Genny Del Zotto,Gelo Victoriano Dela Cruz,Michael Delacher,Silvia Della Bella,Paolo Dellabona,Günnur Deniz,Mark C. Dessing,James P. Di Santo,Andreas Diefenbach,Francesco Dieli,Andreas Dolf,Thomas Dörner,Regine J. Dress,Diana Dudziak,Michael L. Dustin,Charles-Antoine Dutertre,Charles-Antoine Dutertre,Friederike Ebner,Sidonia B G Eckle,Matthias Edinger,Pascale Eede,Götz R. A. Ehrhardt,Marcus Eich,Pablo Engel,Britta Engelhardt,Anna Erdei,Charlotte Esser,Bart Everts,Maximilien Evrard,Christine S. Falk,Todd A. Fehniger,Mar Felipo-Benavent,Helen Ferry,Markus Feuerer,Andrew Filby,Kata Filkor,Simon Fillatreau,Marie Follo,Irmgard Förster,John Bellamy Foster,Gemma A. Foulds,Britta Frehse,Paul S. Frenette,Stefan Frischbutter,Wolfgang Fritzsche,David W. Galbraith,David W. Galbraith,Anastasia Gangaev,Natalio Garbi,Brice Gaudilliere,Ricardo T. Gazzinelli,Ricardo T. Gazzinelli,Jens Geginat,Wilhelm Gerner,Nicholas A Gherardin,Kamran Ghoreschi,Lara Gibellini,Florent Ginhoux,Florent Ginhoux,Florent Ginhoux,Keisuke Goda,Keisuke Goda,Keisuke Goda,Dale I. Godfrey,Christoph Goettlinger,José M. González-Navajas,Carl S. Goodyear,Andrea Gori,Jane L. Grogan,Daryl Grummitt,Andreas Grützkau,Claudia Haftmann,Jonas Hahn,Hamida Hammad,Günter J. Hämmerling,Leo Hansmann,Göran K. Hansson,Christopher M. Harpur,Susanne Hartmann,Andrea Hauser,Anja E. Hauser,David L. Haviland,David W. Hedley,Daniela C. Hernández,Guadalupe Herrera,Martin Herrmann,Christoph Hess,Christoph Hess,Thomas Höfer,Petra Hoffmann,Kristin A. Hogquist,Tristan Holland,Thomas Höllt,Thomas Höllt,Rikard Holmdahl,Pleun Hombrink,Jessica P. Houston,Bimba F. Hoyer,Bo Huang,Fang-Ping Huang,Johanna Huber,Jochen Huehn,Michael Hundemer,Christopher A. Hunter,William Hwang,William Hwang,Anna Iannone,Florian Ingelfinger,Sabine Ivison,Hans-Martin Jäck,Peter K. Jani,Beatriz Jávega,Stipan Jonjić,Toralf Kaiser,Tomas Kalina,Thomas Kamradt,Stefan H. E. Kaufmann,Baerbel Keller,Steven L. C. Ketelaars,Ahad Khalilnezhad,Ahad Khalilnezhad,Srijit Khan,Jan Kisielow,Paul Klenerman,Jasmin Knopf,Hui-Fern Koay,Katja Kobow,Jay K. Kolls,Wan Ting Kong,Manfred Kopf,Thomas Korn,Katharina Kriegsmann,Hendy Kristyanto,Thomas Kroneis,Andreas Krueger,J. Kühne,Christian Kukat,Désirée Kunkel,Heike Kunze-Schumacher,Tomohiro Kurosaki,Christian Kurts,Pia Kvistborg,Immanuel Kwok,Immanuel Kwok,Jonathan J M Landry,Olivier Lantz,Paola Lanuti,Francesca LaRosa,Agnès Lehuen,Salomé LeibundGut-Landmann,Michael D. Leipold,Leslie Y. T. Leung,Megan K. Levings,Andreia C. Lino,Francesco Liotta,Virginia Litwin,Yanling Liu,Hans-Gustaf Ljunggren,Michael Lohoff,Giovanna Lombardi,Lilly Lopez,Miguel López-Botet,Amy E. Lovett-Racke,Erik Lubberts,Hervé Luche,Burkhard Ludewig,Enrico Lugli,Sebastian Lunemann,Holden T. Maecker,Laura Maggi,Orla Maguire,Florian Mair,Kerstin H. Mair,Alberto Mantovani,Rudolf A. Manz,Aaron J. Marshall,Alicia Martínez-Romero,Gloria Martrus,Ivana Marventano,Wlodzimierz Maslinski,Giuseppe Matarese,Anna Vittoria Mattioli,Christian Maueröder,Christian Maueröder,Alessio Mazzoni,James McCluskey,Mairi McGrath,Helen M. McGuire,Iain B. McInnes,Henrik E. Mei,Fritz Melchers,Susanne Melzer,Dirk Mielenz,Stephen D. Miller,Kingston H. G. Mills,Hans Minderman,Jenny Mjösberg,Jenny Mjösberg,Jonni S. Moore,Barry Moran,Lorenzo Moretta,Tim R. Mosmann,Susann Müller,Gabriele Multhoff,Luis E. Muñoz,Christian Münz,Toshinori Nakayama,Milena Nasi,Katrin Neumann,Lai Guan Ng,Antonia Niedobitek,Sussan Nourshargh,Gabriel Núñez,José-Enrique O'Connor,A Ochel,Anna E. Oja,Diana Ordonez,Alberto Orfao,Eva Orlowski-Oliver,Wenjun Ouyang,Annette Oxenius,Raghavendra Palankar,Isabel Panse,Kovit Pattanapanyasat,Malte Paulsen,Dinko Pavlinic,Livius Penter,Pärt Peterson,Christian Peth,Jordi Petriz,Federica Piancone,Winfried F. Pickl,Silvia Piconese,Marcello Pinti,A. Graham Pockley,Malgorzata J. Podolska,Zhiyong Poon,Katharina Pracht,Immo Prinz,Carlo Pucillo,Sally A. Quataert,Linda Quatrini,Kylie M. Quinn,Kylie M. Quinn,Helena Radbruch,Tim R. Radstake,Susann Rahmig,Hans-Peter Rahn,Bartek Rajwa,Gevitha Ravichandran,Yotam Raz,Jonathan Rebhahn,Diether J. Recktenwald,Dorothea Reimer,Caetano Reis e Sousa,Ester B. M. Remmerswaal,Lisa Richter,Laura G. Rico,Andy Riddell,Aja M. Rieger,J. Paul Robinson,Chiara Romagnani,Anna Rubartelli,Jürgen Ruland,Armin Saalmüller,Yvan Saeys,Takashi Saito,Shimon Sakaguchi,Francisco Sala-de-Oyanguren,Yvonne Samstag,Sharon Sanderson,Inga Sandrock,Angela Santoni,Ramon Bellmas Sanz,Marina Saresella,Catherine Sautès-Fridman,Birgit Sawitzki,Linda Schadt,Alexander Scheffold,Hans Scherer,Matthias Schiemann,Frank A. Schildberg,Esther Schimisky,Andreas Schlitzer,Josephine Schlosser,S Schmid,Steffen Schmitt,Kilian Schober,Daniel Schraivogel,Wolfgang Schuh,Thomas Schüler,Reiner Schulte,Axel Schulz,Sebastian R. Schulz,Cristiano Scottà,Daniel Scott-Algara,David P. Sester,T. Vincent Shankey,Bruno Silva-Santos,Anna Katharina Simon,Katarzyna M. Sitnik,Silvano Sozzani,Daniel E. Speiser,Josef Spidlen,Anders Ståhlberg,Alan M. Stall,Natalie Stanley,Regina Stark,Christina Stehle,Tobit Steinmetz,Hannes Stockinger,Yousuke Takahama,Kiyoshi Takeda,Leonard Tan,Leonard Tan,Attila Tárnok,Attila Tárnok,Attila Tárnok,Gisa Tiegs,Gergely Toldi,Julia Tornack,Elisabetta Traggiai,Mohamed Trebak,Timothy Tree,Timothy Tree,Joe Trotter,John Trowsdale,Maria Tsoumakidou,Henning Ulrich,Sophia Urbanczyk,Willem van de Veen,Maries van den Broek,Edwin van der Pol,Sofie Van Gassen,Gert Van Isterdael,René A. W. van Lier,Marc Veldhoen,Salvador Vento-Asturias,Paulo Vieira,David Voehringer,Hans-Dieter Volk,Anouk von Borstel,Konrad von Volkmann,Ari Waisman,Rachael C. Walker,Paul K. Wallace,Sa A. Wang,Xin M. Wang,Michael D. Ward,Kirsten A. Ward-Hartstonge,Klaus Warnatz,Gary Warnes,Sarah Warth,Claudia Waskow,Claudia Waskow,James V. Watson,Carsten Watzl,Leonie Wegener,Thomas Weisenburger,Annika Wiedemann,Jürgen Wienands,Anneke Wilharm,Robert J. Wilkinson,Robert J. Wilkinson,Robert J. Wilkinson,Gerald Willimsky,James B. Wing,Rieke Winkelmann,Thomas Winkler,Oliver F. Wirz,Alicia Wong,Peter Wurst,Jennie H M Yang,Jennie H M Yang,Juhao Yang,Maria Yazdanbakhsh,Liping Yu,Alice Yue,Hanlin Zhang,Yi Zhao,Susanne Ziegler,Christina E. Zielinski,Jakob Zimmermann,Arturo Zychlinsky +462 more
TL;DR: These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community providing the theory and key practical aspects offlow cytometry enabling immunologists to avoid the common errors that often undermine immunological data.
Proceedings Article
Learning convolutional neural networks for graphs
TL;DR: In this paper, the authors propose a framework for learning convolutional neural networks for arbitrary graphs, and demonstrate that the learned feature representations are competitive with state of the art graph kernels and that their computation is highly efficient.
References
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