Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Monash University
- Nanyang Technological University
- Oak Ridge National Laboratory
- Technical University of Munich
- European Space Agency
- Michigan Technological University
- Pennsylvania State University
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Bergen
- CNRS
- Eindhoven University of Technology (TU/e)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- ;
- INESC TEC
- Stony Brook University
- University of British Columbia
- University of Oslo
- Aalborg University
- California Institute of Technology
- Cornell University
- EPFL
- Fraunhofer-Gesellschaft
- Harvard University
- Inria, the French national research institute for the digital sciences
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Texas A&M University System
- The University of Chicago
- University of Antwerp
- University of Luxembourg
- University of Sheffield
- University of South-Eastern Norway
- University of Southern California
- University of Southern Denmark (SDU)
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- AALTO UNIVERSITY
- Carnegie Mellon University
- Dana-Farber Cancer Institute (DFCI)
- Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova
- Duke University
- Forschungszentrum Jülich
- Lawrence Berkeley National Laboratory
- Leiden University
- McGill University
- NIST
- NTNU Norwegian University of Science and Technology
- National Energy Technology Laboratory (NETL)
- National University of Singapore
- Texas A&M University
- The California State University
- UNIVERSITY OF HELSINKI
- University of California
- University of California Irvine
- University of Dayton
- University of Exeter
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Sheffield;
- Université de Bordeaux / University of Bordeaux
- Vrije Universiteit Brussel
- Zintellect
- 3IA Côte d'Azur
- AIT Austrian Institute of Technology
- Aalborg Universitet
- Aarhus University
- Abertay University
- American University
- Argonne
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Barry University
- Blekinge Institute of Technology
- CEA
- CSIRO
- Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj
- Center for Drug Evaluation and Research (CDER)
- Central New Mexico Community College
- Chalmers University of Technology
- DURHAM UNIVERSITY
- Dana-Farber Cancer Institute
- Delft University of Technology (TU Delft)
- Durham University
- ETH Zurich
- ETH Zürich
- Fundação Gaspar Frutuoso
- Ghent University
- Grenoble INP - Institute of Engineering
- Huazhong Agricultural University (HZAU)
- INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA
- INSA LYON
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Instituto Superior Técnico
- Macquarie University
- Manchester Metropolitan University
- Mines Paris-PSL
- NTNU - Norwegian University of Science and Technology
- Poznan University of Technology
- Queen Mary University of London
- Queen Mary University of London;
- Queensland University of Technology
- Rutgers
- 90 more »
- « less
-
Field
-
The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their accuracy is not high when we apply them on brain EEG time series (65
-
challenging data problem. Weak signals from collisions of compact objects can be dug out of noisy time series because we understand what the signal should look like, and can therefore use simple algorithms
-
distributions. We wish to represent the biological networks into proper formats, e.g., vector representations, so that existing machine learning algorithms (e.g., support vector machines) can readily be used
-
manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive sector. There are currently
-
(for example insect-eye–inspired motion detectors for planetary landing and insect-inspired navigation algorithms) to evolutionary and neuromorphic approaches to autonomous control, as well as soft-robotic
-
, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
-
and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used