Luciana A. S. Romani

Orcid: 0000-0002-7386-3515

Affiliations:
  • Brazilian Agricultural Research Corporation, Campinas, Brazil
  • University of São Paulo, Brazil (former)


According to our database1, Luciana A. S. Romani authored at least 35 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
A Time Series Mining Approach for Agricultural Area Detection.
IEEE Trans. Big Data, 2020

2017
SITS for estimating sugarcane production.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

Agricultural monitoring using clustering techniques on satellite image time series of low spatial resolution.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016
Clustering Multivariate Data Streams by Correlating Attributes using Fractal Dimension.
J. Inf. Data Manag., 2016

Impacto da amostragem aleatória uniforme para o aumento da escalabilidade na geração de agrupamentos hierárquicos de séries espaço-temporais.
Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016

Improving Multivariate Data Streams Clustering.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Clustering Multivariate Climate Data Streamsusing Fractal Dimension.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

Numerical models to forecast the sugarcane production in regional scale based on time series of NDVI/AVHRR images.
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

Improving digital ecosystems for agriculture: users participation in the design of a mobile app for agrometeorological monitoring.
Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems, Caraguatatuba, Brazil, October 25, 2015

Agricultural monitoring assessment based on low spatial and high temporal resolution satellite: A comparison of AVHRR and MODIS.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases.
Inf. Sci., 2014

An approach based on satellite image time series mining to identify region susceptible to desertification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Land use temporal analysis through clustering techniques on satellite image time series.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Discovering Frequent Patterns on Agrometeorological Data with TrieMotif.
Proceedings of the Enterprise Information Systems - 16th International Conference, 2014

TrieMotif - A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series.
Proceedings of the ICEIS 2014, 2014

The SITSMining Framework - A Data Mining Approach for Satellite Image Time Series.
Proceedings of the ICEIS 2014, 2014

2013
A New Time Series Mining Approach Applied to Multitemporal Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2013

Coffee Crop's Biomass and Carbon Stock Estimation With Usage of High Resolution Satellites Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Finding Spatio-Temporal Patterns in Multidimensional Data Streams.
J. Inf. Data Manag., 2013

Analysis of large scale climate data: how well climate change models and data from real sensor networks agree?
Proceedings of the 22nd International World Wide Web Conference, 2013

Involving users in the gestural language definition process for the NInA framework.
Proceedings of the Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais, 2013

The NInA Framework - Using Gesture to Improve Interaction and Collaboration in Geographical Information Systems.
Proceedings of the ICEIS 2013, 2013

2012
To be or not to be real: fractal analysis of data streams from a regional climate change model.
Proceedings of the ACM Symposium on Applied Computing, 2012

Challenges for users and designers in the design process of a satellite images handling system.
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems, 2012

Evi's estimation to improve the monitoring of sugarcane using TRMM satellite data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Carbon stock estimation in coffee crops using high resolution satellites.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

SART: A New Association Rule Method for Mining Sequential Patterns in Time Series of Climate Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

2011
Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series.
J. Inf. Data Manag., 2011

2010
Integrating time series mining and fractals to discover patterns and extreme events in climate and remote sensing databases.
PhD thesis, 2010

Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner.
J. Inf. Data Manag., 2010

Análise baseada em Fractais para Identificação de Mudanças de Tendências em Múltiplas Séries Climáticas.
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010

CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis.
Proceedings of the 14th International Conference on Information Visualisation, 2010

New DTW-based method to similarity search in sugar cane regions represented by climate and remote sensing time series.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate Patterns.
Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009


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