posted by organizer: neurodltensor || 4460 views || tracked by 3 users: [display]

DLAN 2018 : Deep Learning and Tensor/Matrix Decomposition for Applications in Neuroscience

FacebookTwitterLinkedInGoogle

Link: https://crei.skoltech.ru/cdise/icdm-2018-workshop/
 
When Nov 17, 2018 - Nov 20, 2018
Where Singapore
Submission Deadline Aug 7, 2018
Notification Due Sep 4, 2018
Categories    deep learning   neuroscience   tensor decomposition   matrix decomposition
 

Call For Papers

CFP: Deep Learning and Tensor/Matrix Decomposition for Applications in Neuroscience

---------------------------------------------------------------------------------------- CALL FOR PAPERS
DLAN 2018
Workshop on Deep Learning and Tensor/Matrix Decomposition for Applications in Neuroscience will be held in conjunction with ICDM 2018
November 17th, 2018, Singapore

https://crei.skoltech.ru/cdise/icdm-2018-workshop/

---------------------------------------------------------------------------------------------------------------------------------
DLAN is a full day workshop, organized in conjunction with ICDM 2018.

The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. The main goal of current workshop is to bring together academics, researchers and practitioners to discuss and reflect on recent challenges in neuroscience in the context of Deep Learning.

The workshop is oriented to all potential applications of deep learning and matrix/tensor decomposition and networks in feature extraction, classification, recognition, segmentation, enhancing, clustering, anomaly detection, and prediction of brain and behavior data – as applied to the multi-modal brain data (MRI/fMRI/CT, EEG/MEG, and biomarker assays), especially for mental disorders. Special focus will be made on the practical aspects of how to design and train deep neural networks with appropriate reduction of the dimensionality, to achieve high classification performance and reliability.

Because of recent breakthroughs in machine learning, especially deep neural networks, it is expected that physicians will be able to completely rely on the machine interpretation of MRIs, CT, PET scans using deep learning in the nearest future. Though deep neural networks have revolutionized computer vision through the end-to-end learning (i.e., learning from the raw data), it is still difficult to accomplish the early detection of the major neurodegenerative diseases (such as ADHD, Autism, or Alzheimer’s) with the neural networks today, partially due to the need for development of optimization techniques in order to work with the Big Data in the most efficient way. These and related topics will be addressed at this workshop.


IMPORTANT DATES
---------------------------
All deadlines are at 11:59PM Pacific Time.

WORKSHOP PAPER SUBMISSIONS August 7, 2018
WORKSHOP PAPER NOTIFICATION September 4, 2018
WORKHSOP DATE November 17, 2018




TOPICS OF INTEREST
--------------------------------
We aim for a focus on the applications of Deep Learning to analysis of neuroimaging data. Topics of interests for the workshop include, but are not limited to:

Magnetic Resonance Imaging (MRI) / functional Magnetic Resonance Imaging (fMRI)
Electroencephalography (EEG)
Magnetoencephalography (MEG)
Positron Emission Tomography (PET)
Near-infrared spectroscopy (NIRS)
Computed Tomography (CT)
Behavioral Data
Physiological Data
Electromyography (EMG)

We encourage submissions describing innovative work in related fields that address the issue of interpretability in applications of DL to neuroscience.


SUBMISSION GUIDELINES
-------------------------------------
We invite submission of unpublished original research papers that are not under review elsewhere. All papers will be peer reviewed. If accepted, at least one of the authors must attend the workshop to present their work. Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (link), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. For further information, please visit the ICDM guidelines page http://icdm2018.org/calls/call-for-papers/.

Manuscripts must be submitted electronically via the submission site.
https://wi-lab.com/cyberchair/2018/icdm18/scripts/submit.php?subarea=S26&undisplay_detail=1&wh=/cyberchair/2018/icdm18/scripts/ws_submit.php

We do not accept email submissions.

Accepted papers will be published in the conference proceedings by the IEEE Computer SocietyPress.

If you are considering submitting to the workshop and have questions regarding the workshop scope or need further information, please do not hesitate to contact the organizers at NeuroDLTensor (at) gmail.com.





ORGANIZERS
---------------------------
Andrzej Cichocki (Skoltech)
Alexander Bernstein (Skoltech)
Evgeny Burnaev (Skoltech)
Dmitry Dylov (Skoltech)
Ivan Oseledets (Skoltech)


CONTACT us at:
NeuroDLTensor (at) gmail.com

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
CAIML 2022   3rd International Conference on Artificial Intelligence and Machine Learning
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
BINLP 2021   International Conference on Big Data, IOT & NLP
DLIS 2022   Deep Learning for IoT Security - Frontiers in Big Data Journal
DL-ASAP 2022   Pattern Recognition Letters | Deep Learning for Acoustic Sensor Array Processing
SIPP 2022   10th International Conference on Signal, Image Processing and Pattern Recognition
MLTEC 2021   2nd International Conference on Machine Learning Techniques
dlmia_ii 2022   Deep Learning in Medical Image Analysis, Volume II
ACM--ICDLT--Ei, Scopus 2022   ACM--2022 6th International Conference on Deep Learning Technologies (ICDLT 2022)--Ei Compendex, Scopus