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José Manuel Matos Moreira
AuthID:
R-000-8MS
Publications
Confirmed
To Validate
Document Source:
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Document Type:
All Document Types
Proceedings Paper (19)
Article (7)
Book Chapter (3)
Article in Press (1)
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Cit. Scopus Dsc
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Confirmed Publications: 30
1
TITLE:
Approximating the evolution of rotating moving regions using Bezier curves
Full Text
AUTHORS:
Duarte, Jose
;
Dias, Paulo
;
Moreira, Jose
;
PUBLISHED:
2022
,
SOURCE:
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
INDEXED IN:
Scopus
WOS
CrossRef
IN MY:
ORCID
2
TITLE:
Automatic Quality Improvement of Data on the Evolution of 2D Regions
AUTHORS:
Costa, RLD
;
Moreira, J
;
PUBLISHED:
2022
,
SOURCE:
17th International Conference on Advanced Data Mining Applications (ADMA)
in
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2021, PT II,
VOLUME:
13088
INDEXED IN:
Scopus
WOS
CrossRef
IN MY:
ORCID
3
TITLE:
Provenance in Spatial Queries
AUTHORS:
Paulo Sérgio Pintor; Rogério Luís De Costa;
José Manuel Moreira
;
PUBLISHED:
2022
,
SOURCE:
ACM International Conference Proceeding Series
INDEXED IN:
Scopus
CrossRef
IN MY:
ORCID
4
TITLE:
Why- and How-Provenance in Distributed Environments
AUTHORS:
Pintor, Paulo
;
de Carvalho Costa, Rogerio Luis
;
Moreira, Jose
;
PUBLISHED:
2022
,
SOURCE:
33rd International Conference on Database and Expert Systems Applications (DEXA)
in
DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2022, PT I,
VOLUME:
13426
INDEXED IN:
Scopus
WOS
CrossRef
IN MY:
ORCID
5
TITLE:
A Survey on Data-driven Performance Tuning for Big Data Analytics Platforms
AUTHORS:
Costa, RLD
;
Moreira, J
;
Pintor, P
; dos Santos, V; Lifschitz, S;
PUBLISHED:
2021
,
SOURCE:
BIG DATA RESEARCH,
VOLUME:
25
INDEXED IN:
Scopus
WOS
CrossRef
:
6
IN MY:
ORCID
6
TITLE:
Experience: Quality Assessment and Improvement on a Forest Fire Dataset
Full Text
AUTHORS:
Costa, RLC
;
Miranda, E
;
Dias, P
;
Moreira, J
;
PUBLISHED:
2021
,
SOURCE:
ACM JOURNAL OF DATA AND INFORMATION QUALITY,
VOLUME:
13,
ISSUE:
1
INDEXED IN:
Scopus
WOS
IN MY:
ORCID
7
TITLE:
Evaluating Preprocessing and Interpolation Strategies to Create Moving Regions from Real-World Observations
Full Text
AUTHORS:
Rogerio Luis C Costa
;
Enrico Miranda
;
Paulo Dias
;
Jose Moreira
;
PUBLISHED:
2020
,
SOURCE:
APPLIED COMPUTING REVIEW,
VOLUME:
20,
ISSUE:
2
INDEXED IN:
WOS
8
TITLE:
Matching-aware Shape Simplification
AUTHORS:
Miranda, ES
;
Costa, RLC
;
Dias, P
;
Moreira, J
;
PUBLISHED:
2020
,
SOURCE:
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 15th International Conference on Computer Vision Theory and Applications (VISAPP)
in
PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 1: GRAPP,
VOLUME:
1
INDEXED IN:
Scopus
WOS
IN MY:
ORCID
9
TITLE:
Sampling strategies to create moving regions from real world observations
AUTHORS:
Costa, RLC; Miranda, E;
Dias, P
;
Moreira, J
;
PUBLISHED:
2020
,
SOURCE:
35th Annual ACM Symposium on Applied Computing (SAC)
in
PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)
INDEXED IN:
Scopus
WOS
CrossRef
:
3
IN MY:
ORCID
10
TITLE:
Towards the automatic selection of moving regions representation methods
AUTHORS:
Costa, RLC
;
Miranda, E
;
Moreira, J
;
PUBLISHED:
2020
,
SOURCE:
3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
in
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
INDEXED IN:
Scopus
CrossRef
:
1
IN MY:
ORCID
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