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Documents authored by Santos, Paulo

Found 3 Possible Name Variants:

Santos, Paulo E.

Document
DOI: 10.4230/DagRep.11.11.1
Representing and Solving Spatial Problems (Dagstuhl Seminar 21492)

Authors: Pedro Cabalar, Zoe Falomir, Paulo E. Santos, and Thora Tenbrink

Published in: Dagstuhl Reports, Volume 11, Issue 11 (2022)

Abstract
Everyday life takes place in space and time, and spatial experience lies at the heart of our existence. Understanding how we conceive spatial relations, and how we solve spatio-temporal problems, is therefore key to understanding human cognition. Spatial cognition research has advanced considerably over the past decades, with major successes particularly in computational implementations of knowledge representation and reasoning methods. Still, a range of key issues continue to pose major challenges. The goal of this report is to discuss the various options for the formalisation, implementation and automated solution of spatial problems including the following issues: the identification and specification of relevant concepts as expressed in human language; modules for automated understanding of domain descriptions; the use of spatial structures and affordances for direct spatial problem solving; and, the development of efficient planning systems capable of providing feasible solutions to spatial problems. This report documents the program and the outcomes of Dagstuhl Seminar 21492 "Representing and Solving Spatial Problems".
Cite as

Pedro Cabalar, Zoe Falomir, Paulo E. Santos, and Thora Tenbrink. Representing and Solving Spatial Problems (Dagstuhl Seminar 21492). In Dagstuhl Reports, Volume 11, Issue 11, pp. 1-55, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{cabalar_et_al:DagRep.11.11.1,
  author =	{Cabalar, Pedro and Falomir, Zoe and Santos, Paulo E. and Tenbrink, Thora},
  title =	{{Representing and Solving Spatial Problems (Dagstuhl Seminar 21492)}},
  pages =	{1--55},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{11},
  editor =	{Cabalar, Pedro and Falomir, Zoe and Santos, Paulo E. and Tenbrink, Thora},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.11.1},
  URN =		{urn:nbn:de:0030-drops-159387},
  doi =		{10.4230/DagRep.11.11.1},
  annote =	{Keywords: knowledge representation, language analysis and cognitive processes, problem solving, spatial reasoning}
}
Document
DOI: 10.4230/DagRep.5.5.24
The Message in the Shadow: Noise or Knowledge? (Dagstuhl Seminar 15192)

Authors: Roberto Casati, Patrick Cavanagh, and Paulo E. Santos

Published in: Dagstuhl Reports, Volume 5, Issue 5 (2016)

Abstract
Computer vision, besides being a key area in Computer Science, is present in various industrial applications, such as traffic sign recognition (including car license plates), face and gesture recognition, content-based image retrieval, remote sensing, cartography, radar sensing, and robot mapping. However, most computer vision systems disregard the cognitive aspects of human perception, thus limiting their applicability in natural environments, whereby small changes in the light conditions cause negative effects on the system's accuracy. This seminar brought together contributions from Computer Vision, Cognitive Psychology, Philosophy and History of Art in order to discuss the information content in cast shadows which, although currently recognised by psychologists as providing important cues about depth perception, is considered as noise in the computer vision literature.
Cite as

Roberto Casati, Patrick Cavanagh, and Paulo E. Santos. The Message in the Shadow: Noise or Knowledge? (Dagstuhl Seminar 15192). In Dagstuhl Reports, Volume 5, Issue 5, pp. 24-42, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{casati_et_al:DagRep.5.5.24,
  author =	{Casati, Roberto and Cavanagh, Patrick and Santos, Paulo E.},
  title =	{{The Message in the Shadow: Noise or Knowledge? (Dagstuhl Seminar 15192)}},
  pages =	{24--42},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{5},
  number =	{5},
  editor =	{Casati, Roberto and Cavanagh, Patrick and Santos, Paulo E.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.5.5.24},
  URN =		{urn:nbn:de:0030-drops-53570},
  doi =		{10.4230/DagRep.5.5.24},
  annote =	{Keywords: Cast Shadows, Perception, Computer Vision, Space Cognition}
}

Santos, António Paulo

Document
DOI: 10.4230/OASIcs.SLATE.2014.169
Assigning Polarity Automatically to the Synsets of a Wordnet-like Resource

Authors: Hugo Gonçalo Oliveira, António Paulo Santos, and Paulo Gomes

Published in: OASIcs, Volume 38, 3rd Symposium on Languages, Applications and Technologies (2014)

Abstract
This article describes work towards the automatic creation of a conceptual polarity lexicon for Portuguese. For this purpose, we take advantage of a polarity lexicon based on single lemmas to assign polarities to the synsets of a wordnet-like resource. We assume that each synset has the polarity of the majority of its lemmas, given by the initial lexicon. After that, polarity is propagated to other synsets, through different types of semantic relations. The relation types used were selected after manual evaluation. The main result of this work is a lexicon with more than 10,000 synsets with an assigned polarity, with accuracy of 70% or 79%, depending on the human evaluator. For Portuguese, this is the first synset-based polarity lexicon we are aware of. In addition to this contribution, the presented approach can be applied to create similar resources for other languages.
Cite as

Hugo Gonçalo Oliveira, António Paulo Santos, and Paulo Gomes. Assigning Polarity Automatically to the Synsets of a Wordnet-like Resource. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 169-184, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{goncalooliveira_et_al:OASIcs.SLATE.2014.169,
  author =	{Gon\c{c}alo Oliveira, Hugo and Santos, Ant\'{o}nio Paulo and Gomes, Paulo},
  title =	{{Assigning Polarity Automatically to the Synsets of a Wordnet-like Resource}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{169--184},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-68-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{38},
  editor =	{Pereira, Maria Jo\~{a}o Varanda and Leal, Jos\'{e} Paulo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.169},
  URN =		{urn:nbn:de:0030-drops-45689},
  doi =		{10.4230/OASIcs.SLATE.2014.169},
  annote =	{Keywords: sentiment analysis, polarity, lexicon, wordnet, Portuguese}
}

Santos, Paulo

Document
DOI: 10.4230/DagSemProc.08091.5
Assimilating knowledge from neuroimages in schizophrenia diagnostics

Authors: Paulo Santos, Carlos Thomaz, Luiz Celiberto, Fabio Duran, Wagner Gattaz, and Geraldo Busatto

Published in: Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)

Abstract
The aim of this article is to propose an integrated framework for classifying and describing patterns of disorders from medical images using a combination of image registration, linear discriminant analysis and region-based ontologies. In a first stage of this endeavour we are going to study and evaluate multivariate statistical methodologies to identify the most discriminating hyperplane separating two populations contained in the input data. This step has, as its major goal, the analysis of all the data simultaneously rather than feature by feature. The second stage of this work includes the development of an ontology whose aim is the assimilation and exploration of the knowledge contained in the results of the previous statistical methods. Automated knowledge discovery from images is the key motivation for the methods to be investigated in this research. We argue that such investigation provides a suitable framework for characterising the high complexity of MR images in schizophrenia.
Cite as

Paulo Santos, Carlos Thomaz, Luiz Celiberto, Fabio Duran, Wagner Gattaz, and Geraldo Busatto. Assimilating knowledge from neuroimages in schizophrenia diagnostics. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{santos_et_al:DagSemProc.08091.5,
  author =	{Santos, Paulo and Thomaz, Carlos and Celiberto, Luiz and Duran, Fabio and Gattaz, Wagner and Busatto, Geraldo},
  title =	{{Assimilating knowledge from neuroimages in schizophrenia diagnostics}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08091.5},
  URN =		{urn:nbn:de:0030-drops-16078},
  doi =		{10.4230/DagSemProc.08091.5},
  annote =	{Keywords: Statistical classification, spatial ontologies}
}
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