334 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pontifícia Universidade Católica de São PauloBR10 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT8 papers
- Universidade Federal do Rio Grande do SulBR7 papers
- Universidade SalvadorBR6 papers
- University of OuluFI5 papers
- Blekinge Institute of TechnologySE4 papers
- Hanyang UniversityKR4 papers
- Jožef Stefan InstituteSI4 papers
- Max Planck Institute for Extraterrestrial PhysicsDE4 papers
- Technical University of MunichDE4 papers
- Universidade Federal da BahiaBR4 papers
- Universität InnsbruckAT4 papers
12 papers · 1 filter
RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs
Kartik Lakhotia, Rajgopal Kannan, Viktor Prasanna +1
Tip decomposition is a crucial kernel for mining dense subgraphs in bipartite networks, with applications in spam detection, analysis of affiliation networks etc. It creates a hier…
Investigating Cultural Aspects in the Fundamental Diagram using Convolutional Neural Networks and Simulation
Rodolfo M. Favaretto, Roberto R. Santos, Marcio Ballotin +4
This paper presents a study regarding group behavior in a controlled experiment focused on differences in an important attribute that vary across cultures -- the personal spaces --…
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments
Estevso Testa, Rodrigo C. Barros, Soraia Raupp Musse
Evacuation plans have been historically used as a safety measure for the construction of buildings. The existing crowd simulators require fully-modeled 3D environments and enough t…
Modelos dinâmicos aplicados à aprendizagem de valores em inteligência artificial
Nicholas Kluge Corrêa, Nythamar De Oliveira
Experts in Artificial Intelligence (AI) development predict that advances in the development of intelligent systems and agents will reshape vital areas in our society. Nevertheless…
Automated Database Indexing using Model-free Reinforcement Learning
Gabriel Paludo Licks, Felipe Meneguzzi
Configuring databases for efficient querying is a complex task, often carried out by a database administrator. Solving the problem of building indexes that truly optimize database…
Visual Explanation for Identification of the Brain Bases for Dyslexia on fMRI Data
Laura Tomaz Da Silva, Nathalia Bianchini Esper, Duncan D. Ruiz +2
Brain imaging of mental health, neurodevelopmental and learning disorders has coupled with machine learning to identify patients based only on their brain activation, and ultimatel…
A Survey of Aging Monitors and Reconfiguration Techniques
Leonardo Rezende Juracy, Matheus Trevisan Moreira, Alexandre de Morais Amory +1
CMOS technology scaling makes aging effects an important concern for the design and fabrication of integrated circuits. Aging deterioration reduces the useful life of a circuit, ma…
Good AI for the Present of Humanity Democratizing AI Governance
Nicholas Kluge Corrêa, Nythamar de Oliveira
What do Cyberpunk and AI Ethics have to do with each other? Cyberpunk is a sub-genre of science fiction that explores the post-human relationships between human experience and tech…
Multitasking Across Industry Projects: A Replication Study
Karina Kohl, Bogdan Vasilescu, Rafael Prikladnicki
Background: Multitasking is usual in software development. It is the ability to stop working on a task, switch to another, and return eventually to the first one, as needed or as s…
The Multi-Agent Programming Contest: A résumé
Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas +1
The Multi-Agent Programming Contest, MAPC, is an annual event organized since 2005 out of Clausthal University of Technology. Its aim is to investigate the potential of using decen…
Development of a skateboarding trick classifier using accelerometry and machine learning
Nicholas Kluge Corrêa, Julio Cesar Marques de Lima, Thais Russomano +1
Introduction: Skateboarding is one of the most popular cultures in Brazil, with more than 8.5 million skateboarders. Nowadays, the discipline of street skating has gained recogniti…
The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition
Kin Max Piamolini Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal and plan recognition using classical planning domains have achieved state of the art results in terms of both recognition time and accuracy by using heuri…