Important Dates

Journal track paper:
submit now, max Apr 1, 2017

Paper submission (TT):
Apr 15, 2017 May 1, 2017

Paper acceptance (TT):
May 31, 2017

Jun 15, 2017

Doctoral Symposium & BAAI session:
Paper submission: Jun 15, 2017
Paper acceptance: Jul 15, 2017
Camera-ready: Jul 25, 2017

Discovery Challenge:
Predictions: Jun 1, 2017
Papers: Jul 8, 2017 Jul 31, 2017

Geometry Friends:
Aug 8, 2017

Sep 5-8, 2017



Latest News:

  • Program online
  • M.Sc. project posters, case studies and Industrial solutions: submissions till June 30.
  • Free registration for the first 8 students to submit a poster and 50€ registration for the remaining students.


AI is undoubtedly becoming a commodity in the business world. In fact AI technology is being used in several different industries (including health, manufacturing, retail, automotive, education, marketing, sales, financial services, entertainment and security) to increase productivity and reduce costs. The Business Applications of Artificial Intelligence (BAAI) track will focus on bringing new insights on successful applications of AI technology in business as well as identifying challenges that can only be addressed by collaborative efforts between industry and academia.  Industry leaders need to learn with researchers how and where AI technologies can be applied in their organizations. On the other hand, researchers need to understand the challenges that companies are facing, the potential for solving them with AI technologies but also the additional challenges raised by developing solutions to real world problems with those technologies. The track will promote the discussion concerning challenges and potential solutions and the sharing of ideas and experiences between researchers (especially young ones, such as M.Sc. and Ph.D. students) and industry leaders. It also aims to disseminate recent research, innovative approaches and techniques, current trends and concerns.

Topics of Interest

The conference topics include, but are not limited to, the following:

  •  AI applications in business, industry and government involving technologies such as
    • Agent­ based systems
    • Data science (data mining, big data, machine learning and deep learning)
    • Evolutionary computation
    • Expert and decision support systems
    • Intelligent search
    • Metaheuristics
    • Intelligent planning
    • Robotics
  • Solutions based on the integration of multiple AI and other types of technologies
  • Methodological issues in the development of AI projects
  • Social impact of AI
  • Business problems in need of AI solutions

Program Committee

Adam Woznica, Expedia, Switzerlan
Albert Patrick, ILOG, France
António Castro, FEUP/LIACC-NIADR, University of Porto, Portugal
Carlos Rodrigues, Marionete, United Kingdom
Efi Papatheocharous, Swedish Institute of Computer Science, Sweden
Elaine Ribeiro de Faria, Universidade Federal Uberlândia, Brazil
Eunika Mercier-Laurent, Innovation3D, France
Hanen Borchani, SimCorp Technology Labs, Denmark
Jean-Charles Régin, ILOG, France
Jean-Pierre Briot, Laboratoire d’Informatique de Paris 6 (Paris6-CNRS) & PUC-Rio, Brazil
Kaustubh Patil, MIT, USA
Marisa Affonso Vasconcelos, IBM Research, Brazil
Maritza Correa, Universidad Autónoma de Occidente, Colombia
Paulo Cavalin, IBM Research, Brazil
Pedro Henriques Abreu, FCTUC-DEI/CISUC, Portugal
Peter Van der Putten, Pegasystems /U. Leiden, Netherlands
Ricardo Sousa, Farfetch, Portugal
Rodrigo Mello, Universidade de São Paulo, Brazil
Victor Cavalcante, Motorola Mobility R&D, Brazil
YongHong Peng, University of Sunderland, United Kingdom


We accept three types of submissions, regular EPIA papers, M.Sc. project posters and industrial solutions and case studies, as detailed next.

Regular Submission

Submitted papers should be prepared according to the Springer LNCS format, with a maximum of 12 pages. Submitted papers will be subject to a double-blind review process, and will be peer-reviewed by at least three members of the respective track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process.  For more information on the regular submission process, please consult the  call for papers.

Student 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) proceedings.

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) proceedings.



Registrations associated with student project posters have access to the technical program, participation in AI competition sessions, welcome session, coffee-breaks and lunch on the first day. More information about registration can be found at the EPIA 2017 site.



BAAI Posters Session

TicketBot: A Natural Language Interactive Assistant for Ticket Selling
Pedro Cheira, Alexandre Martins and Nuno C. Marques

Which algorithm best predicts whether a client subscribes to a term deposit?
Hugo Fragata

Translating Written Language to Sign Language using Parallel Corpora
Diogo Oliveira, Nuno Escudeiro and Paula Escudeiro

Whole-Body End-Pose Planning on Uneven and Inclined Surfaces
Henrique Ferrolho, Vladimir Ivan, Yiming Yang, Wolfgang Merkt, Rosaldo Rossetti and Sethu Vijayakumar

Using deep learning for building an Image Retrieval System in a fashion ecommerce company
Rui Machado and João Gama

Using Stacked Generalization for Anomaly Detection
Miguel Sandim, Carlos Soares and Bernhard Pfahringer

Critical Sample Size for Mining Data
José Miguel Parreira E Silva, Bernardete Ribeiro and Andrew Sung

Disaggregation and classification of loads
Ana Inês Soares, David Rua and João Gama

A Trading System for Running Same Hierarchical Rule-Based Algorithm over a Plurality of Securities
Hugo Dos Santos and Nuno Marques

Dynamic Selection of Recommender Systems: an Application to Tourism
Samuel Arleo and João Mendes-Moreira

Identificação de termos relevantes em relatórios usando text mining
Pedro Bastos and Alípio Jorge

Technologies and Support Models to Analytics over Time Series
Paulo Faria and João Mendes-Moreira

Predicting product sales in fashion retailing: a data analytics approach
Nelson Alves and Vera Miguéis


Organizing Committee

Célia Talma Gonçalves, P.Porto / LIACC, Portugal
Ana Paula Appel, IBM Research, São Paulo, Brazil
François Pachet, Sony CSL, Paris, France
Carlos Soares, FEUP / INESC TEC, Porto, Portugal

The BAAI track is sponsored by: