posted by user: insticc || 1739 views || tracked by 1 users: [display]

DeLTA 2021 : 2nd International Conference on Deep Learning Theory and Applications

FacebookTwitterLinkedInGoogle

Link: http://www.delta.scitevents.org
 
When Jul 7, 2021 - Jul 9, 2021
Where Lieusaint - Paris, France
Submission Deadline Feb 16, 2021
Notification Due Apr 15, 2021
Final Version Due Apr 29, 2021
Categories    machine learning   neural networks   IOT   big data
 

Call For Papers

CALL FOR PAPERS
2nd International Conference on Deep Learning Theory and Applications DeLTA

website: http://www.delta.scitevents.org

July 7 - 9, 2021 Lieusaint - Paris, France


In Cooperation with: INNS and AAAI.

Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, Microsoft Academic, EI and Conference Proceedings Citation Index.


IMPORTANT DATES:

Regular Paper Submission: February 16, 2021
Authors Notification (regular papers): April 15, 2021
Final Regular Paper Submission and Registration: April 29, 2021


Position Paper Submission: April 1, 2021
Authors Notification (position papers): May 6, 2021
Final Regular Paper Submission and Registration: May 19, 2021

Scope:
Deep Learning and Big Data Analytics are two major topics of data science, nowadays. Big Data has become important in practice, as many organizations have been collecting massive amounts of data that can contain useful information for business analysis and decisions, impacting existing and future technology. A key benefit of Deep Learning is the ability to process these data and extract high-level complex abstractions as data representations, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled. Machine-learning and artificial intelligence are pervasive in most real-world applications scenarios such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains. Deep learning approaches, leveraging on big data, are outperforming state-of-the-art more “classical” supervised and unsupervised approaches, directly learning relevant features and data representations without requiring explicit domain knowledge or human feature engineering. These approaches are currently highly important in IoT applications.

Conference Topics:
Area 1: Models and Algorithms
- Recurrent Neural Network (RNN)
- Sparse Coding
- Neuro-Fuzzy Algorithms
- Evolutionary Methods
- Convolutional Neural Networks (CNN)
- Deep Hierarchical Networks (DHN)
- Dimensionality Reduction
- Unsupervised Feature Learning
- Deep Boltzmann Machines
- Generative Adversarial Networks (GAN)
- Autoencoders
- Deep Belief Networks

Area 2: Machine Learning
- Active Learning
- Meta-Learning and Deep Networks
- Deep Metric Learning Methods
- MAP Inference in Deep Networks
- Deep Reinforcement Learning
- Learning Deep Generative Models
- Deep Kernel Learning
- Graph Representation Learning
- Gaussian Processes for Machine Learning
- Clustering, Classification and Regression
- Classification Explainability

Area 3: Big Data Analytics
- Extracting Complex Patterns
- IoT and Smart Devices
- Security Threat Detection
- Semantic Indexing
- Data Tagging
- Fast Information Retrieval
- Scalability of Models
- Data Integration and Fusion
- High-Dimensional Data
- Streaming Data
- Genomics and Bioinformatics

Area 4: Computer Vision Applications
- Image Classification
- Object Detection
- Face Recognition
- Facial Expression Analysis
- Action Recognition
- Human Pose Estimation
- Image Retrieval
- Semantic Segmentation
- Deep Image Denoising

Area 5: Natural Language Understanding
- Sentiment Analysis
- Mobile Text Messaging Applications
- Question Answering Applications
- Speech Interfaces
- Language Translation
- Document Summarization
- Content Filtering on Social Networks
- Recommender Systems


DeLTA KEYNOTE LECTURE
Matias Carrasco Kind, University Illinois Urbana Champaign, United States
Andreas Dengel, German Research Center for Artificial Intelligence (DFKI GmbH), Germany
Barbara Caputo, Politecnico di Torino, Italy


DeLTA CONFERENCE CHAIR:
Kurosh Madani, University of Paris-EST Créteil (UPEC), France

DeLTA PROGRAM CHAIR:
Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal

PROGRAM COMMITTEE
http://www.delta.scitevents.org/ProgramCommittee.aspx

DeLTA Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
Tel: +351 265 520 185
Fax: +351 265 520 186
Web: http://www.delta.scitevents.org
e-mail: delta.secretariat@insticc.org

Related Resources

ICDM 2021   21th Industrial Conference on Data Mining
22nd EANN 2021   22nd Engineering Applications of Neural Networks
PAKDD 2021   Pacific-Asia Conference on Knowledge Discovery and Data Mining
17th AIAI (IFIP WG 12.5) 2021   Artificial Intelligence Applications and Innovations
Signal 2021   8th International Conference on Signal and Image Processing
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
IARCE 2021-Ei Compendex & Scopus 2021   2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021)
MLDM 2021   17th International Conference on Machine Learning and Data Mining
ACM--ICDLT--Ei, Scopus 2021   ACM--2021 5th International Conference on Deep Learning Technologies (ICDLT 2021)--Ei Compendex, Scopus
SA-TTA 2021   The 9th track on Software Architecture: Theory, Technology, and Applications (SA-TTA) at the 36th ACM/SIGAPP Symposium On Applied Computing (SAC 2021)