Towards an understanding of tipping points within tropical South American biomes

• Processo: 13/50169-1
• Modalidade de apoio: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE
• Data de Início da vigência: 01 de fevereiro de 2014
• Data de Término da vigência: 31 de janeiro de 2018
• Área do conhecimento: Interdisciplinar
• Acordo de Cooperação: Microsoft Research
• Pesquisador responsável: Ricardo da Silva Torres
• Beneficiário: Ricardo da Silva Torres
• Instituição Sede: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brasil
• Município: Campinas
• Instituição parceira: Microsoft
• Pesquisadores principais: Rafael Silva Oliveira
• Bolsa(s) vinculada(s): 15/02105-0 - Identificando mudanças temporais na vegetação tropical sul-americana: uma abordagem via detecção de ponto de parada, BP.MS; 14/06100-0 - Processos ecológicos levando a transições de fronteiras de biomas numa perspectiva multi-escala, BP.MS; 14/06453-0 - Towards an understanding of tipping points within tropical South American biomes, BP.PD
• Assunto(s): Ecossistema tropical América do Sul Aprendizado computacional Sistemas dinâmicos Análise multinível
• Palavra(s)-Chave do Pesquisador: Alternative States | Dynamic System | Machine Learning | Multiscale Analysis | Tipping Points

Resumo

Terrestrial ecosystems are currently undergoing unprecedented climate and human-induced disturbances, which are likely to push these systems towards changes in their physiognomies, structure, and functioning. It has been hypothesized that these new configurations may be alternative states of systems comprising vegetation-climate-disturbance interactions. The majority of the studies reporting ecosystem switches consider vegetation-climate-disturbance systems confined to certain spatial scales (local to continental) without accounting for multi-scale interactions and are unable to detect out-of-range changes and/or regime shifts in vegetation due to difficulties in collecting sufficiently long time series to define standard behavior of the system. In this context, we propose to investigate novel machine learning and image processing techniques aiming to support the use of multi-scale ecological knowledge in the analysis of vegetation-climate-disturbance systems. We also propose the use of the theory of dynamical complex systems as a novel way of filling up the gaps in evaluating ecosystem transitions, transients, and alternative states under imminent land use and climate change scenarios. (AU)

Publicações científicas

(64)

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; MENDES JUNIOR, PEDRO RIBEIRO; BIZETTO PENATTI, OTAVIO AUGUSTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 78, n. 1, p. 59-76, JAN 2018. (16/18429-1, 15/19222-9, 13/50155-0, 14/12236-1, 13/50169-1)

PEREIRA, LUIS A. M.; TORRES, RICARDO DA SILVA. Semi-supervised transfer subspace for domain adaptation. PATTERN RECOGNITION, v. 75, n. SI, p. 235-249, MAR 2018. (13/50155-0, 15/09169-3, 13/50169-1)

DOS SANTOS, JEFERSSON A.; PENATTI, OTAVIO A. B.; GOSSELIN, PHILIPPE-HENRI; FALCAO, ALEXANDRE X.; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S.. Efficient and Effective Hierarchical Feature Propagation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 7, n. 12, SI, p. 4632-4643, DEC 2014. (08/58528-2, 13/50155-0, 12/18768-0, 09/10554-8, 13/50169-1)

CALUMBY, RODRIGO TRIPODI; GONCALVES, MARCOS ANDRE; TORRES, RICARDO DA SILVA. Diversity-based interactive learning meets multimodality. Neurocomputing, v. 259, n. SI, p. 159-175, OCT 11 2017. (13/50155-0, 13/50169-1)

BERNARDINO, PAULO N.; DANTAS, VINICIUS L.; HIROTA, MARINA; PAUSAS, JULI G.; OLIVEIRA, RAFAEL S.. Savanna-Forest Coexistence Across a Fire Gradient. ECOSYSTEMS, JUN 2021. (13/50169-1, 14/06453-0, 14/06100-0, 19/07773-1)

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; FORNAZARI, TAMIRES; FREIRE SILVA, THIAGO SANNA; MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S.; IEEE. Towards vegetation species discrimination by using data-driven descriptors. 2016 9TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS), v. N/A, p. 6-pg., 2016-01-01. (13/50169-1, 13/50155-0)

FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Fusion of time series representations for plant recognition in phenology studies. PATTERN RECOGNITION LETTERS, v. 83, p. 10-pg., 2016-11-01. (14/00215-0, 10/51307-0, 13/50169-1, 10/52113-5, 13/50155-0, 09/18438-7)

CALUMBY, RODRIGO TRIPODI; GONCALVES, MARCOS ANDRE; TORRES, RICARDO DA SILVA. Diversity-based interactive learning meets multimodality. Neurocomputing, v. 259, p. 17-pg., 2017-10-11. (13/50169-1, 13/50155-0)

VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO DA SILVA. A genetic programming approach for searching on nearest neighbors graphs. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 16, p. 24-pg., 2022-03-18. (14/12236-1, 17/20945-0, 13/50155-0, 13/50169-1, 17/12646-3, 15/11937-9, 16/50250-1, 15/24494-8, 17/16246-0, 14/50715-9)

GUIMARAES PEDRONETTE, DANIEL CARLOS; TORRES, RICARDO DA S.. A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing, v. 208, p. 14-pg., 2016-10-05. (13/08645-0, 13/50169-1)

FADEL, SAMUEL G.; TORRES, RICARDO DA S.. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36, JUL 2020. (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14, JUL 2020. (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)

WERNECK, RAFAEL DE O.; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA S.; BAI, X; HANCOCK, ER; HO, TK; WILSON, RC; BIGGIO, B; ROBLESKELLY, A. Learning Cost Functions for Graph Matching. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2018, v. 11004, p. 10-pg., 2018-01-01. (14/50715-9, 17/20945-0, 14/12236-1, 16/18429-1, 16/50250-1, 13/50169-1, 13/50155-0, 15/24494-8)

ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S.. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, MAR 2021. (16/50250-1, 15/24494-8, 13/50155-0, 18/15597-6, 13/50169-1, 17/20945-0, 14/12236-1, 17/25908-6, 14/50715-9)

BERNARDINO, PAULO N.; DANTAS, VINICIUS L.; HIROTA, MARINA; PAUSAS, JULI G.; OLIVEIRA, RAFAEL S.. Savanna-Forest Coexistence Across a Fire Gradient. ECOSYSTEMS, v. 25, n. 2, p. 12-pg., 2021-06-07. (13/50169-1, 14/06453-0, 19/07773-1, 14/06100-0)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

ALMEIDA, ALEXANDRE E.; TORRES, RICARDO DA S.. Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions. IEEE Geoscience and Remote Sensing Letters, v. 14, n. 9, p. 1499-1503, SEP 2017. (14/50715-9, 13/50155-0, 14/12236-1, 15/02105-0, 13/50169-1)

LEITE, ROGER A.; SCHNORR, LUCAS MELLO; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.; COMBA, JOAO L. D.. PhenoVis - A tool for visual phenological analysis of digital camera images using chronological percentage maps. INFORMATION SCIENCES, v. 372, p. 181-195, DEC 1 2016. (10/51307-0, 14/00215-0, 10/52113-5, 13/50155-0, 07/59779-6, 09/54208-6, 07/52015-0, 09/18438-7, 13/50169-1)

CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 17/12646-3, 13/50169-1)

SILVA, FERNANDA B.; WERNECK, RAFAEL DE O.; GOLDENSTEIN, SIOME; TABBONE, SALVATORE; TORRES, RICARDO DA S.. Graph-based bag-of-words for classification. PATTERN RECOGNITION, v. 74, p. 266-285, FEB 2018. (16/18429-1, 12/50468-6, 13/11378-4, 13/50155-0, 14/12236-1, 12/16172-2, 13/50169-1)

MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; DOS SANTOS, JEFERSSON A.; PEDRINI, HELIO; HIROTA, MARINA; TORRES, RICARDO DA S.. A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 2, p. 320-324, FEB 2019. (14/50715-9, 16/26170-8, 18/06918-3, 13/50155-0, 14/12236-1, 15/02105-0, 17/12646-3, 13/50169-1)

DOS SANTOS, JOYCE MIRANDA; DE MOURA, EDLENO SILVA; DA SILVA, ALTIGRAN SOARES; TORRES, RICARDO DA SILVA. Color and texture applied to a signature-based bag of visual words method for image retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 76, n. 15, p. 16855-16872, AUG 2017. (10/52113-5, 13/50155-0, 13/50169-1)

PISANI, FLAVIA; PASCOTTI VALEM, LUCAS; GUIMARAES PEDRONETTE, DANIEL CARLOS; DA S. TORRES, RICARDO; BORIN, EDSON; BRETERNITZ, MAURICIO. A unified model for accelerating unsupervised iterative re-ranking algorithms. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 32, n. 14, MAR 2020. (14/50715-9, 13/50169-1, 14/12236-1, 13/08645-0, 13/50155-0, 15/24494-8)

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; MENINI, NATHALIA; SILVA, THIAGO S. F.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 10, p. 1665-1669, OCT 2019. (16/26170-8, 13/50155-0, 09/54208-6, 13/50169-1, 18/06918-3)

PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10, p. 15315-15350, APR 2021. (13/50169-1, 16/50250-1, 15/24494-8, 17/20945-0, 13/50155-0, 14/50715-9, 14/12236-1)

ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Phenological visual rhythms: Compact representations for fine-grained plant species identification. PATTERN RECOGNITION LETTERS, v. 81, p. 11-pg., 2016-10-01. (14/00215-0, 09/18438-7, 10/51307-0, 07/52015-0, 13/50155-0, 13/50169-1, 07/59779-6, 10/52113-5)

PEREIRA, LUIS A. M.; TORRES, RICARDO DA SILVA. Semi-supervised transfer subspace for domain adaptation. PATTERN RECOGNITION, v. 75, p. 15-pg., 2018-03-01. (13/50169-1, 15/09169-3, 13/50155-0)

SANTOS, ELISANGELA SILVA; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA SILVA; IEEE. PIXELWISE TIME SERIES RETRIEVAL IN PHENOLOGICAL STUDIES. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), v. N/A, p. 4-pg., 2019-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

SANTANA, TIAGO M. H. C.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.; IEEE. SUPERPIXEL CONTEXT DESCRIPTION BASED ON VISUAL WORDS CO-OCCURRENCE MATRIX. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2018-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

ALMEIDA, ALEXANDRE E.; MENINI, NATHALIA; VERBESSELT, JAN; TORRES, RICARDO DA S.; IEEE. BFAST EXPLORER: AN EFFECTIVE TOOL FOR TIME SERIES ANALYSIS. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2018-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 15/02105-0, 15/24494-8, 14/50715-9, 16/26170-8, 16/08085-3)

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; CANCIAN, LEONARDO; BORGES, BRUNO D.; SILVA, THIAGO S. F.; MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S.; IEEE. SEMANTIC SEGMENTATION OF VEGETATION IMAGES ACQUIRED BY UNMANNED AERIAL VEHICLES USING AN ENSEMBLE OF CONVNETS. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., 2017-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 14/50715-9)

WERNECK, RAFAEL DE O.; DOURADO, ICARO C.; FADEL, SAMUEL G.; TABBONE, SALVATORE; TORRES, RICARDO DA S.; IEEE. GRAPH-BASED EARLY-FUSION FOR FLOOD DETECTION. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v. N/A, p. 5-pg., 2018-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/18429-1, 14/50715-9, 17/16453-5, 17/24005-2)

ALMEIDA, JURANDY; PEDRONETTE, DANIEL C. G.; ALBERTON, BRUNA C.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Unsupervised Distance Learning for Plant Species Identification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, p. 14-pg., 2016-12-01. (13/50169-1, 13/50155-0, 10/52113-5, 14/00215-0, 16/06441-7, 10/51307-0, 13/08645-0, 09/18438-7)

MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; OLIVEIRA, RAFAEL S.; VERBESSELT, JAN; HIROTA, MARINA; TORRES, RICARDO DA S.. Tucuma A toolbox for spatiotemporal remote sensing image analysis. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, v. 7, n. 3, p. 13-pg., 2019-09-01. (13/50169-1, 13/50155-0, 14/12236-1, 15/02105-0, 17/12646-3, 18/06918-3, 14/50715-9, 16/26170-8, 16/08085-3)

VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO S.; ASSOC COMP MACHINERY. A Genetic Programming Approach for Searching on Nearest Neighbors Graphs. ICMR'19: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, v. N/A, p. 5-pg., 2019-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; MIRANDA, WANER O.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Deriving vegetation indices for phenology analysis using genetic programming. ECOLOGICAL INFORMATICS, v. 26, p. 9-pg., 2015-03-01. (13/50169-1, 13/50155-0, 10/52113-5, 14/00215-0, 07/52015-0, 10/51307-0, 07/59779-6, 09/18438-7)

GUIMARAES PEDRONETTE, DANIEL CARLOS; CALUMBY, RODRIGO T.; TORRES, RICARDO DA S.. A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, v. N/A, p. 15-pg., 2015-08-10. (13/50169-1, 13/08645-0)

WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; MENDES JUNIOR, PEDRO RIBEIRO; BIZETTO PENATTI, OTAVIO AUGUSTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 78, p. 18-pg., 2018-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/18429-1, 15/19222-9)

FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Fusion of time series representations for plant recognition in phenology studies. PATTERN RECOGNITION LETTERS, v. 83, n. 2, p. 205-214, NOV 1 2016. (13/50169-1, 09/18438-7, 10/52113-5, 10/51307-0, 14/00215-0, 13/50155-0)

GUIMARAES PEDRONETTE, DANIEL CARLOS; ALMEIDA, JURANDY; TORRES, RICARDO DA S.. A graph-based ranked-list model for unsupervised distance learning on shape retrieval. PATTERN RECOGNITION LETTERS, v. 83, n. 3, p. 357-367, NOV 1 2016. (13/50169-1, 13/08645-0)

ALMEIDA, JURANDY; PEDRONETTE, DANIEL C. G.; ALBERTON, BRUNA C.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Unsupervised Distance Learning for Plant Species Identification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, 1, SI, p. 5325-5338, DEC 2016. (13/50169-1, 09/18438-7, 10/52113-5, 16/06441-7, 10/51307-0, 13/08645-0, 14/00215-0, 13/50155-0)

GUIMARAES PEDRONETTE, DANIEL CARLOS; CALUMBY, RODRIGO T.; TORRES, RICARDO DA S.. A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, AUG 10 2015. (13/08645-0, 13/50169-1)

ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Phenological visual rhythms: Compact representations for fine-grained plant species identification. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 90-100, OCT 1 2016. (10/51307-0, 14/00215-0, 10/52113-5, 13/50155-0, 07/59779-6, 07/52015-0, 09/18438-7, 13/50169-1)

ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; MIRANDA, WANER O.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Deriving vegetation indices for phenology analysis using genetic programming. ECOLOGICAL INFORMATICS, v. 26, n. 3, p. 61-69, MAR 2015. (10/51307-0, 14/00215-0, 10/52113-5, 13/50155-0, 07/59779-6, 07/52015-0, 09/18438-7, 13/50169-1)

GUIMARAES PEDRONETTE, DANIEL CARLOS; TORRES, RICARDO DA S.. A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing, v. 208, n. SI, p. 66-79, OCT 5 2016. (13/08645-0, 13/50169-1)

MUNOZ, JAVIER VARGAS; GONCALVES, MARCOS A.; DIAS, ZANONI; TORRES, RICARDO DA S.. Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, DEC 2019. (14/50715-9, 16/50250-1, 17/16246-0, 17/20945-0, 14/12236-1, 13/50169-1, 15/11937-9, 17/12646-3, 13/50155-0, 15/24494-8)

GUEVARA, JUDY C.; TORRES, RICARDO DA S.; DA FONSECA, NELSON L. S.. On the classification of fog computing applications: A machine learning perspective. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, JUN 1 2020. (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S.. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, MAY 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 18/19007-9, 17/20945-0, 13/50155-0, 15/24494-8)

CIEMER, CATRIN; BOERS, NIKLAS; HIROTA, MARINA; KURTHS, JUERGEN; MUELLER-HANSEN, FINN; OLIVEIRA, RAFAEL S.; WINKELMANN, RICARDA. Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall. NATURE GEOSCIENCE, v. 12, n. 3, p. 174+, MAR 2019. (15/50122-0, 13/50169-1, 11/52072-0)

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