Marcelo Keese Albertini

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 27

Top Venues

CoRR

Multim. Tools Appl.

Int. J. Pattern Recognit. Artif. Intell.

Int. J. High Perform. Comput. Netw.

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
Machine learning for hospital readmission prediction in pediatric population. Comput. Methods Programs Biomed. 244 (2024)
Marcelo Keese Albertini, André Ricardo Backes
Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021. CoRR (2024)
Luiz F. Afra Brito, Marcelo Keese Albertini, Bruno A. N. Travençolo
A Dynamic Data Structure for Representing Timed Transitive Closures on Disk. CoRR (2023)
Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
Validation of the Hospital Score as Predictor of 30-Day Potentially Avoidable Readmissions in a Brazilian Population: Retrospective Cohort Study. J. Circuits Syst. Comput. 32 (9) (2023)
Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
Prediction of readmissions in hospitalized children and adolescents by machine learning. SAC (2023)
Luiz Fernando Afra Brito, Marcelo Keese Albertini, Bruno Augusto Nassif Travençolo, Gonzalo Navarro
Dynamic Compact Data Structure for Temporal Reachability with Unsorted Contact Insertions. CoRR (2023)
Feiqiang Liu, Qiang Yu, Lihui Chen, Gwanggil Jeon, Marcelo Keese Albertini, Xiaomin Yang
Aerial image super-resolution based on deep recursive dense network for disaster area surveillance. Pers. Ubiquitous Comput. 26 (4) (2022)
Rui Tang, Lihui Chen, Rongzhu Zhang, Awais Ahmad, Marcelo Keese Albertini, Xiaomin Yang
Medical image super-resolution with laplacian dense network. Multim. Tools Appl. 81 (3) (2022)
Gwanggil Jeon, Valerio Bellandi, Abdellah Chehri, Marcelo Keese Albertini
Potential of sixth-generation technologies for emerging future wireless networks. Trans. Emerg. Telecommun. Technol. 33 (6) (2022)
Luiz F. Afra Brito, Marcelo Keese Albertini, Arnaud Casteigts, Bruno A. N. Travençolo
A Dynamic Data Structure for Temporal Reachability with Unsorted Contact Insertions. CoRR (2021)
Rui Tang, Lihui Chen, Yiye Zou, Zhibing Lai, Marcelo Keese Albertini, Xiaomin Yang
Lightweight network with one-shot aggregation for image super-resolution. J. Real Time Image Process. 18 (4) (2021)
Gwanggil Jeon, Awais Ahmad, Abdellah Chehri, Marcelo Keese Albertini
Guest editorial: Special issue on design architecture and applications of smart embedded devices in internet of things. J. Syst. Archit. 115 (2021)
João Batista Florindo, Young-Sup Lee, Kyungkoo Jun, Gwanggil Jeon, Marcelo Keese Albertini
VisGraphNet: A complex network interpretation of convolutional neural features. Inf. Sci. 543 (2021)
Yiye Zou, Xiaomin Yang, Marcelo Keese Albertini, Farhan Hussain
LMSN: a lightweight multi-scale network for single image super-resolution. Multim. Syst. 27 (4) (2021)
Luís Carlos Silva Júnior, Maricéia B. S. Pàdua, Leonardo M. Ogusuku, Marcelo Keese Albertini, Renato Pimentel, André R. Backes
Wild boar recognition using convolutional neural networks. Concurr. Comput. Pract. Exp. 33 (22) (2021)
MengJie Wang, Xiaomin Yang, Marco Anisetti, Rongzhu Zhang, Marcelo Keese Albertini, Kai Liu
Image super-resolution via enhanced multi-scale residual network. J. Parallel Distributed Comput. 152 (2021)
Yu Wen, Xiaomin Yang, Turgay Çelik, Olga S. Sushkova, Marcelo Keese Albertini
Multifocus image fusion using convolutional neural network. Multim. Tools Appl. 79 (45-46) (2020)
Soojeong Lee, Chang-Hwan Son, Marcelo Keese Albertini, Henrique C. Fernandes
Multi-Phases and Various Feature Extraction and Selection Methodology for Ensemble Gradient Boosting in Estimating Respiratory Rate. IEEE Access 8 (2020)
Luís C. S. Júnior, Maricéia B. S. Pàdua, Leonardo M. Ogusuku, Marcelo Keese Albertini, Renato Pimentel, André R. Backes
Wild boar Classification by Using a Fusion of Texture Analysis Methods. SIBGRAPI (2020)
Gabriel Damasceno Rodrigues, Marcelo Keese Albertini, Xiaomin Yang
An empirical evaluation of random transformations applied to ensemble clustering. Multim. Tools Appl. 79 (45-46) (2020)
Yudan Liu, Xiaomin Yang, Rongzhu Zhang, Marcelo Keese Albertini, Turgay Çelik, Gwanggil Jeon
Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter. Entropy 22 (1) (2020)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Estimating data stream tendencies to adapt clustering parameters. Int. J. High Perform. Comput. Netw. 11 (1) (2018)
Gabriel Rodrigues da Silva, Marcelo Keese Albertini
Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters. BRACIS (2017)
Marcelo Keese Albertini, André Ricardo Backes
Visualization of Clusters in an Educational Data Set Based on Convex-Hull Shape Preservation Algorithm. Int. J. Pattern Recognit. Artif. Intell. 31 (2) (2017)
Luiz F. A. Brito, Marcelo Keese Albertini
Empirical evaluation of strategies to process range queries of numeric sequences in batch-mode. SBBD (Short Papers) (2017)
Paulo Henrique Ribeiro Gabriel, Marcelo Keese Albertini, Antonio Castelo, Rodrigo Fernandes de Mello
Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems. Int. J. Parallel Emergent Distributed Syst. 31 (1) (2016)
Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Marcelo Keese Albertini, Henrique Castro Neto
MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks. ICTAI (2015)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. 7 (4) (2013)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. 17 (3) (2013)
Lilian Tais de Gouveia, Luciano da Fontoura Costa, Luciano José Senger, Marcelo Keese Albertini, Rodrigo Fernandes de Mello
Entropy-Based Approach to Analyze and Classify Mineral Aggregates. J. Comput. Civ. Eng. 25 (1) (2011)
Rodrigo Fernandes de Mello, Matheus L. dos Santos, Marcelo Keese Albertini
Variation Detection applied in User Signature Verification. RITA 17 (1) (2010)
Marcelo Keese Albertini, Kuan-Ching Li, Rodrigo Fernandes de Mello
A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. APSCC (2008)
Marcelo Keese Albertini, Rodrigo Fernandes de Mello
A self-organizing neural network for detecting novelties. SAC (2007)

Marcelo Keese Albertini.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marcelo Keese Albertini