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Submit Your Paper to MONAMI 2020 – Intelligent Mobility and Edge Computing for a Smarter World
March 2nd, 2020 
Daniela Lopez de Luise 
Call for Participation #AMALGAM2020, Summer School – Early Registration: March 25
March 2nd, 2020 Daniela Lopez de Luise Call for Participation #AMALGAM2020, Summer School, Las Vegas, USA
6th IEEE ICACCE & IEEE Las Vegas Section invite you all to participate in this very special event that gives a unique opportunity to interact with outstanding specialists in the area of Machine Learning and its applications in Signal, Image Processing and Computer Vision to get acquainted with huge opportunities and impact of Machine Learning, serious issues and challenges of their development, as well as, newest concepts, advanced knowledge and modern design tools created in numerous R&D projects.
This summer school combines lectures, practical workshops, an excursion and a student-led research project. The summer school is open to students at all levels, researchers and practitioners from all disciplines interested in Machine Learning and its application in Signal, Image and Computer Vision.
To apply, please complete the application form: https://forms.gle/aHG3z776tjrb7NDU8
detailing educational background, motivation and a sketch of a short research project to be completed during the summer school by the application deadline (25 March 2020).
Call-for-Participation-AMALGAM-2020.pdfcall for papers – International Journal on Natural Language Computing (IJNLC)
March 2nd, 2020 Daniela Lopez de Luise International Journal on Natural Language Computing (IJNLC)
ISSN: 2278 – 1307 [Online]; 2319 – 4111 [Print]
http://airccse.org/journal/ijnlc/index.html
Scope & Topics
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Topics of interest include but are not limited to, the following
- Phonology, Morphology
- Chunking/Shallow Parsing
- Parsing/Grammatical Formalisms
- Semantic Processing
- Lexical Semantics
- Ontology
- Linguistic Resources
- Statistical and Knowledge based methods
- POS tagging
- Discourse
- Paraphrasing/Entailment/Generation
- Machine Translation
- Information Retrieval
- Text Mining
- Information Extraction
- Question Answering
- Dialog Systems
- Spoken Language Processing
- Speech Recognition and Synthesis
Paper Submission
Authors are invited to submit papers for this journal through E-mail: ijnlcjournal@airccse.org. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Important Dates
- Submission Deadline : February 29, 2020
- Notification : March 28, 2020
- Final Manuscript Due : April 07, 2020
- Publication Date : Determined by the Editor-in-Chief
For other details please visit http://airccse.org/journal/ijnlc/index.html
Contact Us
Here's where you can reach us: ijnlcjournal@airccse.org
Submission Link: http://coneco2009.com/submissions/imagination/home.html
Google Scholar Citation
https://scholar.google.com/citations?user=A5tqIdoAAAAJ&hl=en
All Since 2015
Citations 829 758
h-index 14 14
i10-index 24 21
Call for Papers – ICPR2020 workshop on “Machine Learning Advances Environmental Science (MAES)”
March 2nd, 2020 Daniela Lopez de Luise —===== Apologies for multiple posting =====—
Please distribute this call to interested parties
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Machine Learning Advances Environmental Science (MAES@ICPR2020)
workshop at the
25th International Conference on Pattern Recognition (ICPR2020)
Milan, Italy, September 13-18, 2020
>>> https://sites.google.com/view/maes-icpr2020/ <<<
__________________________________________________________________
=== Important Dates ===
June 15th 2020 – workshop submission deadline
July 15th 2020 – author notification
July 30th 2020 – camera-ready submission
August 15th 2020 – finalized workshop program
=== Aim & Scope ===
Environmental data are growing steadily in volume, complexity and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unravelling complexity, knowledge discovery and predictability of Big Data environmental science.
The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species.
The workshop will be the place to make an analysis of the advances of Machine Learning for the Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning.
Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier.
=== Organizers ===
Francesco Camastra, Universita' degli Studi di Napoli Parthenope, Italy
Friedrich Recknagel, University of Adelaide, Australia
Antonino Staiano, Universita' degli Studi di Napoli Parthenope, Italy
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Contacts: antonino.staiano@uniparthenope.it
francesco.camastra@uniparthenope.it
Workshop: https://sites.google.com/view/maes-icpr2020/
ICPR2020: https://www.micc.unifi.it/icpr2020/
54th IEEE ICCST 2020 Conference – Special Session: Biometric technology and Cybersecurity
March 2nd, 2020 Daniela Lopez de Luise Special Session: Biometric technology and Cybersecurity
Co-Chairs: Iosif Mporas (University of Hertfordshire) and Vitomir Struc (University of Ljubljana)
Biometric technology has become one of the most important components in cybersecurity systems. Biometric interfaces allow users to access to cyberphysical infrastructures in a secure, reliable and convenient way. The goal of this special session is to present the most recent and advanced work related to biometric technology for cybersecurity and to bring together researchers and practitioners working on problems in this area of research.
We invite research papers on (but not limited to):
• facial, voice, iris, fingerprint, and other biometric modalities applied to problems in cybersecurity,
• multimodal biometrics technologies for cybersecurity,
• presentation attacks on cybersecurity systems,
• novel datasets and performance studies,
• applications of biometric solutions in the context of cybersecurity systems.
Full paper submission: May 4, 2020
https://site.ieee.org/iccst/2020-hatfield-uk/
The 54th IEEE International Carnahan Conference on Security Technology (ICCST 2020)
Hatfield, Hertfordshire, UK, 2-4 September 2020.