posted by organizer: neurodltensor || 3583 views || tracked by 3 users: [display]

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


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

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.

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 (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.

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)

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

CONTACT us at:
NeuroDLTensor (at)

Related Resources

NCAA 2022   Topical Collection on Deep Learning for Time Series Data for Neural Computing and Applications
SCOPUS-CMVIT 2021   5th International Conference on Machine Vision and Information Technology (CMVIT 2021)
ICMLA 2021   20th IEEE International Conference on Machine Learning and Applications
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
DMSE 2021   2nd International Conference on Data Mining and Software Engineering
ACM--ICDLT--Ei, Scopus 2021   ACM--2021 5th International Conference on Deep Learning Technologies (ICDLT 2021)--Ei Compendex, Scopus
MLAIJ 2021   Machine Learning and Applications: An International Journal
DEEP-BDB 2021   The 2nd International Conference on Deep Learning, Big Data and Blockchain
ai4i 2021   Artificial Intelligence for Industries (ai4i 2021)
XSA 2021   Explainable Deep Learning for Sentiment Analysis