The goal of this workshop is to provide a forum for industry, engineers, researchers and students to discuss the state-of-the-art in Artificial Intelligence and Machine Learning Applications. The key idea is to present recent developments in this field, because we believe that different applications can share similar solutions. The workshop is a scientific event organized by researchers who are members of different research groups from Peruvian entities. This first edition of the WAIMLAp 2017 is sponsored by IA-PUCP and will take place in Lima-Peru, at the Pontificia Universidad Católica del Perú, between 23 and 24 November, 2017.
- Paper submission deadline:
October 22th, 2017November 3rd, 2017
- Paper acceptance notification:
November 5th,2017November 10th, 2017
- Paper camera-ready deadline:
November 15th, 2017November 17th, 2017
- Abstract submission deadline: November 10th, 2017
- Abstract acceptance notification: November 15th, 2017
- Workshop: November 23-24th, 2017
Papers could be written in English or Spanish and should be submitted through the easychair online system (https://easychair.org/conferences/?conf=waimlap2017). The long paper length should be between 5 to 8 pages (including references and figures). The manuscripts should be formatted using the IEEE templates, review-formatted templates (link for the templates).
We will accept all papers meeting the high quality and innovation standards of WAIMLAp, and all accepted papers will be incorporated into the conference program. To this end, WAIMLAp 2017 will continue to include “Research Plenary Sessions,” where every accepted research paper will be presented as a “research poster” and included in the proceedings of the workshop.
Abstracts for Poster Presentation
Abstracts could be written in English or Spanish and should be submitted through the easychair online system (https://easychair.org/conferences/?conf=waimlap2017). The abstract length must be one page (including Title, authors, institution, address) and a resume of 2000 characters.
The accepted abstracts will be presented in a poster session. Authors must elaborate a poster format (portrait A0) for their presentation and can also include a demonstration of their work.
Topics of interest include, but are not limited to:
- Machine learning
- Data mining, knowledge discovery in big data
- Image processing and computer vision
- Semantic Web and Ontologies
- Information Extraction
- Natural language processing
- Agents and multi-agents
- Web information retrieval
- Recommendation systems
- Combinatorial optimization
- Graph applications