[Neuroscience] CALL FOR PAPERS: Deep Learning and Tensor/Matrix Decomposition for Applications in Neuroscience

Evgeny Burnaev via neur-sci%40net.bio.net (by neurodltensor from gmail.com)
Tue Jun 12 11:21:53 EST 2018

                        CALL FOR PAPERS

DLAN   2018

on Deep Learning and Tensor/Matrix Decomposition for Applications in
Neuroscience will be held in conjunction with ICDM 2018

                                               November 17th, 2018,



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.



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



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

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



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

Manuscripts must be submitted electronically via the submission site.


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.



Andrzej Cichocki (Skoltech)

Alexander Bernstein (Skoltech)

Evgeny Burnaev (Skoltech)

Dmitry Dylov (Skoltech)

Ivan Oseledets (Skoltech)

 CONTACT us at:

 NeuroDLTensor (at) gmail.com

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