The 12th edition of CTDIAC (Concurso de Teses e Dissertações em Inteligência Artificial e Computacional) is a satellite event of the Brazilian Conference on Intelligent Systems (BRACIS), which will be held in Rio Grande, RS, Brazil, from October 20 to 23, 2020. Due to the COVID pandemic and the sanitary and economical related issues, CTDIAC 2020 will be a virtual (online) conference.
The main goals of CTDIAC are to disseminate and award the best MSc dissertations and PhD theses (MSc and PhDs concluded in Brazilian universities from June 2018 to May 2020) in Artificial and Computational Intelligence areas. Therefore CTDIAC-2020 welcomes concluded research work in all Artificial Intelligence and Computational Intelligence topics, which include but are not limited to:
Papers can be written in English or in Portuguese and must not exceed 12 pages, including title, abstract, all tables, figures, and references. Overlength submissions will be rejected without review. Submissions violating the formatting guidelines will be rejected without review.
Authors should use the style file of the IEEE Computer Society Press (conference template). Formatting instructions, as well as templates for Word and /LaTeX/, can be found in https://www.ieee.org/conferences_events/conferences/publishing/templates.html
CTDIAC expects papers with concluded work, including evaluation and results. The paper should include the name of the advisor (and co-advisors) as co-authors and the following information in the first page after the abstract:
CTDIAC will have two phases: in the first phase, which will be eliminatory, a set of submissions will be selected based on the quality of the paper; in the second phase, the selected submissions will be presented and judged during the Brazilian Conference on Intelligent Systems (BRACIS 2020). Notice that in the first phase, the main object of judgment is the paper; while in the second one, the main object of judgment is the full thesis or dissertation. The author of each accepted paper must attend the conference to present the work.
All accepted papers will likely be published electronically through the SBC Open Lib - SOL.
Asymmetric Action Abstractions for Real-Time Planning in Extensive-Form Games
Rubens Moraes Filho (Universidade Federal de Viçosa)
Automatic Algorithm Selection for the Quadratic Assignment Problem Using Meta-learning and Fitness Landscape Measures
Augusto Dantas (Universidade Federal do Paraná)
ML-MDLText: um método de classificação de textos multirrótulo de aprendizado incremental
Marciele Bittencourt (Universidade Federal de São Carlos)
Semi-Supervised Self-Organizing Maps with Time-Varying Structures for Clustering and Classification
Pedro Braga (Universidade Federal de Pernambuco)
Sequencing Operator Counts with State-Space Search
Wesley Kaizer (UFRGS)
Transfer Learning by Mapping and Revising Boosted Relational Dependency Networks
Rodrigo Azevedo Santos (Universidade Federal do Rio de Janeiro)
Avanços em Redes Neurais Quânticas
Fernando de Paula Neto (Universidade Federal de Pernambuco)
Goal Recognition over Imperfect Domain Models
Ramon Fraga Pereira (PUCRS, Porto Alegre)
Methods and Algorithms for Knowledge Reuse in Multiagent Reinforcement Learning
Felipe Leno da Silva (Universidade de São Paulo)
* 20 minutes of presentation and 15 minutes for questions.
|Denis Mauá (IME-USP)|
|Edson Takashi Matsubara (FACOM-UFMS)|
|Solange O. Rezende (ICMC-USP)|
|Ana Carolina Lorena (ITA)|
|Bruno Castro da Silva (UFRGS)|
|Moacir Antonelli Ponti (ICMC/USP)|
|Andre Britto (UFS) - firstname.lastname@example.org|
|Aurora Pozo (UFPR) - email@example.com|
|Felipe Meneguzzi (PUC-RS) - firstname.lastname@example.org|
|Ricardo Marcacini (ICMC/USP) - email@example.com|