7.7k citations · 12.7k across the 5 of their papers we have counts for
6 papers
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133
The Astropy Project supports and fosters the development of open-source and openly-developed Python packages that provide commonly needed functionality to the astronomical communit…
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns
Leonardo Anjoletto Ferreira, Douglas De Rizzo Meneghetti, Paulo Eduardo Santos
Recently, Deep Learning (DL) methods have shown an excellent performance in image captioning and visual question answering. However, despite their performance, DL methods do not le…
Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles
Thiago Freitas dos Santos, Paulo E. Santos, Leonardo A. Ferreira +2
Spatial puzzles composed of rigid objects, flexible strings and holes offer interesting domains for reasoning about spatial entities that are common in the human daily-life's activ…
The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
The Astropy Collaboration, A. M. Price-Whelan, B. M. Sipőcz +134
The Astropy project supports and fosters the development of open-source and openly-developed Python packages that provide commonly-needed functionality to the astronomical communit…
A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming
Leonardo A. Ferreira, Reinaldo A. C. Bianchi, Paulo E. Santos +1
Non-stationary domains, that change in unpredicted ways, are a challenge for agents searching for optimal policies in sequential decision-making problems. This paper presents a com…
Answer Set Programming for Non-Stationary Markov Decision Processes
Leonardo A. Ferreira, Reinaldo A. C. Bianchi, Paulo E. Santos +1
Non-stationary domains, where unforeseen changes happen, present a challenge for agents to find an optimal policy for a sequential decision making problem. This work investigates a…