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Wearables in Healthcare – Call for Papers | Lecco, Italy on June 9-11, 2020
February 13th, 2020 
Daniela Lopez de Luise 
Becas del Gobierno de Chile 2020 – Agencia Chilena de Cooperación Internacional para el Desarrollo (AGCID)
February 13th, 2020 Daniela Lopez de Luise Las personas interesadas podrán encontrar detalles relacionados a requisitos, beneficios y formularios para completar, en el siguiente link:
Para mayor información enviar un correo al Lic. Juan José Graciano becasinternacionales@cancilleria.gov.ar
Tel: 54-11-48197282.
Área de Becas Internacionales
Dirección General de Cooperación Internacional – DGCIN –
Ministerio de Relaciones Exteriores Comercio Internacional y Culto
Esmeralda 1212, piso 12 of. 1204 (C1007ABR) CABA.
Tel: 54-11-48197460 de 11 a 13hs.
Call for Paper MIDAS 2020 (UPES-INDIA)
February 11th, 2020 Daniela Lopez de Luise International Conference
On
MACHINE INTELLIGENCE AND DATA SCIENCE APPLICATIONS (MIDAS-2020)
In Collaboration with Next Generation Computing Technologies (NGCT)
4-5 Sept., 2020
Organized by
School of Computer Science
UNIVERSITY OF PETROLEUM AND ENERGY STUDIES (UPES)-DEHRADUN-INDIA
Conference Website: http://ngct.org/ngct2020
Dear Sir/Madam,
Greetings!
International Conference on Machine Intelligence and Data Science Applications will be held at University of Petroleum and Energy Studies-Dehradun, during 4th-5th Sept. 2020.
MIDAS-2020 aims to promote and provide a platform for researchers, academia and practitioners to meet and exchange ideas on recent theoretical and applied Machine and Artificial Intelligence and Data Sciences research.
The conference will provide a platform for the computer science, computer engineering, and information technology professionals, scientists, researchers, engineers, educators and students from all over the world to share their scientific contributions, ideas and views.
Machine Intelligence and Data Science are the most useful technologies that could powerfully improve Human Life. This is done through merging both for solving complex problems in various fields. This book provides detailed overview on latest advancements and applications in the field of Machine Intelligence and Data Science. AI/ML applications have achieved great accuracy and performance with the help of the advancements in data processing and storage. AI/ML applications gained power through the amount and quality of data.
The contributors are expected to further the knowhow on state-of-the art research challenges, results, architecture, applications, and other achievements in (but not limited to) the following topics:
Track 1:
Machine Learning Algorithms
• Computational Intelligence
• Cognitive Intelligence
• Ambient Intelligence
• Deep Learning
• Intelligent SystemsTrack 2:
Data Analytics and Optimization
• Data Pre-Processing
• Big Data Analytics
• Soft Computing
• Evolutionary Computing
• Nature Inspired Computing
• Predictive AnalysisTrack 3:
Machine Intelligence Applications
• Image Processing
• Natural Language Processing
• Computer Vision
• Sentiment Analysis
• Search Engine Optimization
• Speech and Gesture Analysis
• Augmented/Virtual RealityTrack 4:
Machine Intelligence in Interdisciplinary Areas
• AI in Legal
• AI in Healthcare and Medicine
• Smart Society
• Smart Farming
• IoT
• Cyber Physical System
• Robotics
Other Topics:
Deep Learning for Data Intelligence
AI for Business data analytics
Performance Tuning and optimization for Big Data Using AI.
Data Science Visualization using AI
Optimization for machine Learning and Data mining in Big Data
AI in securing Data
Data Science for Industry 4.
Data Science and AI in e-Government and Society
Big Data Fusion using AI
AI for Big Social Data Analysis
Artificial Intelligence for knowledge management and big data, data analytics
AI for Data Stream Mining
AI for massive scale data science
AI in Data informatics
IoT sensor Data Analysis and Fusion
Big Special Data Analytics
Cost Modeling using AI
Case studies of use of data science and AI applications in engineering, healthcare, business
AI applications and Innovations
Research trends, challenges, and the future of AI in Data Science.
Publication
All accepted and registered and presented papers under MIDAS-2020 conference will be published in Springer in the book series “Algorithms for Intelligent Systems” (https://www.springer.com/series/16171).
Major attraction: Few quality papers will be further invited to be extended and considered for publication in FREE indexed journal:
https://www.springer.com/journal/41324
Important Dates:
Early Track :
Paper Submission Last date : 15th March 2020
Author Notification : 15th April 2020
Registration Deadline : 30th April 2020
Regular Track:
Paper Submission Last date : 15th June 2020
Author Notification : 10th July 2020
Registration Deadline : 20th July 2020
Conference Dates : Sept. 4-5, 2020
All papers must be submitted online via EasyChair submission portal using the following link:
https://easychair.org/conferences/?conf=midas2020
CFP on Easychair:
https://easychair.org/cfp/midas2020
We seek active participation from you, your students, research scholars and other faculty members of your institution/research organizations. Kindly make a wide circulation among your faculty members and other students, research scholars.
For any queries related to the paper submission and publications (in this conference), please feel free to contact at icmidas2020@gmail.com /+91-9711938087/+91-8902691510/+91-8439363671
Please visit conference website for more details: http://ngct.org/ngct2020
Thanking You
With Best Regards
MIDAS-2020 Team
( Please circulate it to your colleagues)
Thanks & Best Regards,
Dr.(Mr.)Tanupriya Choudhury, MIET
image002.jpg@01D57234.7BDD8A80“>
Associate Professor,Dept. of Informatics
School of Computer ScienceUniversity of Petroleum & Energy Studies (UPES)
Dehradun- 248 007 (Uttarakhand), India
Email tanupriya@ddn.upes.ac.in; tanupriya1986@gmail.com
Mobile: (+91) 9711938087 (Whatsapp)/ +91-9910803601 (Calling)
1511757261.2145.3.camel@ddn.upes.ac.in“>
International-Conference-2020_MIDAS2020.pdfCall for Papers S+SSPR 2020
February 11th, 2020 Daniela Lopez de Luise IAPR Joint International Workshops on
13th Statistical Techniques in Pattern Recognition (SPR)
18th Structural and Syntactic Pattern Recognition Workshop (SSPR)
Time and place: 8-11 September 2020, Padova, Italy
Paper submission deadline: 8 June 2020
S+SSPR 2020 is a joint event organised by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Following the trend of previous editions, S+SSPR 2020 will be held in close proximity and shortly before the International Conference on Pattern Recognition (ICPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. Accepted papers will be published in Springer’s Lecture Notes in Computer Science (LNCS) series.
For details see: http://www.dais.unive.it/sspr2020/
Release of TEASER++: Certifiable 3D Registration
February 11th, 2020 Daniela Lopez de Luise Dear Colleagues,
We are excited to release the code of the paper “TEASER: Fast and Certifiable Point Cloud Registration”.
The code solves challenging 3D registration problems (also known as point cloud alignment or scan matching) where many (e.g., 99%) point correspondences (e.g., from traditional or deep-learned descriptors) are incorrect.
Our algorithm (TEASER++)
- runs in milliseconds and outperforms popular alternatives (e.g., RANSAC, Fast Global Registration, GORE)
- is extremely robust (>99% outlier correspondences). TEASER++ can even solve correspondence-free registration (with up to few hundred points) using all-to-all correspondences.
- is certifiable: it either confirms it was able to find the best solution given the data, or declares failure (it is the first certifiable algorithm for outlier-corrupted problems).
- It provides formal performance guarantees (first of their kind for robust registration).
Paper: https://arxiv.org/abs/2001.07715 (conference version: https://arxiv.org/abs/1903.08588)
Code: https://github.com/MIT-SPARK/TEASER-plusplus
Video: https://youtu.be/xib1RSUoeeQ
TEASER++ can be used in many applications from object detection, scan matching, 3D reconstruction, panorama stitching, and medical imaging.
The certification routine is currently given in Matlab and will be released in C++ shortly.
We will keep maintaining TEASER++ so feel free to ping us with github issues if you have comments or questions.
We hope you find it useful!
All the best,
Luca, Hank, Jingnan
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Luca Carlone
Charles Stark Draper Assistant Professor
Department of Aeronautics and Astronautics
Laboratory for Information and Decision Systems (LIDS)
Massachusetts Institute of Technology (MIT)
office: 77 Massachusetts Ave, Cambridge, MA 02139, Room: 31-243
website: https://lucacarlone.mit.edu/
Spark Lab: http://web.mit.edu/sparklab/
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