Business Applications of Artificial Intelligence (BAAI)

The Business Applications of Artificial Intelligence (BAAI) track focus is to bring together researchers and industry to reveal the successful AI applications on real world business challenges.

·         innovative applications of AI in business

·         lessons learned in real world applications of AI

·         business challenges in need of an AI solution

Topics of Interest

• Data analysis buzzwords (data science, data mining, big data, etc...)
• AI applications in business, industry and entertainment
• Data mining and data analysis
• Intelligent data mining
• Intelligent web­based business
• Social impact of AI
• Big Data

Paper Submission Instructions ( Regular Submissions )

All accepted regular papers will be published by Springer in a volume of Springer’s Lecture Notes in Artificial Intelligence (LNAI) corresponding to the proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019.

Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Program Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. Acceptance will be based on the paper’s significance, technical quality, clarity, relevance and originality. All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference.

All papers should be submitted in PDF format through the EPIA 2019 EasyChair submission page. Prospective authors should select the thematic track to which their paper is to be submitted.

Students Project Posters

M.Sc. students are invited to submit a 2 pages summary of their project (same formatting rules as for the regular papers). Although the discussion of results will be beneficial, it is not required. This means that students at early phases of their projects are encouraged to submit. Accepted submission will present their work at a poster session, where they will have the opportunity to interact with participants from the companies. Accepted submissions will be published in the local (online) web-page.

Registrations associated with student project posters have access to the technical program coffee-breaks and lunch in the first day. More information about registration can be found at the EPIA 2019 site.

M.Sc. project posters, case studies and Industrial solutions: submissions till June 30^th.   

Industrial Solutions and Case Studies 

Submissions are invited for industrial solutions and case studies. Submit a 2 pages summary of solutions (general-purpose or specific tools) and case studies (success stories, lessons learned and challenges). The same formatting rules for the regular papers apply. Accepted submissions will present their work at a specific session, where the speakers will have the opportunity to discuss their work with academic experts on AI. Accepted submissions will be published in local (online) web-page.

Registrations associated with industrial solutions and case studies have access to the technical program coffee-breaks and lunch in the first day. More information about registration can be found at the EPIA 2019 site. 

Important Dates

Paper submission deadline (Extended) : April 15, 2019 April 30, 2019
Notification of paper acceptance: May 31, 2019, June 7, 2019
Camera ready papers deadline: June 15, 2019, June 21, 2019
Conference dates: September 3-6, 2019

Organizing Committee

Célia Talma Gonçalves, CEOS - ISCAP P.PORTO / LIACC, Portugal
Carlos Soares, LIACC,  INESC TEC/ FEUP- Universidade do Porto, Portugal
Eva Lorenzo Iglesias, UVIGO, Spain
Ana Paula Appel, IBM Research, Brazil 
Eunika Mercier-Laurent, Global Innovation Strategies, Université Reims Champagne Ardennes, France 
Eugénio Oliveira, LIACC/ FEUP- Universidade do Porto, Portugal

Program Committee

Adam Woznica, Expedia, Switzerland
Adrián Seara Veira, Universidad de Vigo, Spain
António Castro, FEUP/LIACC-NIADR, University of Porto, Portugal
Carlos Rodrigues, Marionete, United Kingdom
Carmela Comito, ICAR-CNR, Italy
Dario Oliveira, IBM Research, Brazil 
Efi Papatheocharous, Swedish Institute of Computer Science, Sweden
Elaine Ribeiro de Faria, Universidade Federal Uberlândia, Brazil 
Francesca Spezzano, College of Engineering, Boise Sate University, USA 
Gustavo Batista, ICMC – USP, Brazil
Ida Mele, Universita' della Svizzera, Italy
Jean-Pierre Briot, Laboratoire d’Informatique de Paris 6 (Paris6-CNRS) & PUC-Rio, Brazil
Kaustubh Patil, MIT, USA
Lourdes Borrajo, Universidad de Vigo, Spain 
Marisa Affonso Vasconcelos, IBM Research, Brazil
Miriam Seoane Santos, Universidade de Coimbra 
Paulo Cavalin, IBM Research, Brazil
Pedro Henriques Abreu, FCTUC-DEI/CISUC, Portugal
Peter Van der Putten, Pegasystems /U. Leiden, Netherlands 
Rodrigo Mello, Universidade de São Paulo, Brazil 
YongHong Peng, University of Sunderland, United Kingdom

Track Supporting Institution

Track Sponsor(s)

One of the main goals of BAAI is to connect outstanding AI students and young professionals with companies addressing challenging problems with AI. Some of these companies have been invited to financially support the participation of those students.