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ORCIDMarcelo Keese Albertini
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2020 – today
- 2024
[j24]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: 107980 (2024)- [j23]Gwanggil Jeon, Xiaochun Cheng, Abdellah Chehri, Giancarlo Fortino, Marcelo K. Albertini, Shiping Wen:
Guest Editorial: Special Issue on Dark Side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation. IEEE Trans. Comput. Soc. Syst. 11(4): 4766-4774 (2024) - [i7]Marcelo Keese Albertini, André Ricardo Backes:
Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021. CoRR abs/2407.14690 (2024) - 2023
- [j22]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): 2350154:1-2350154:17 (2023) - [c7]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: 1088-1091 - [i6]Luiz F. Afra Brito, Marcelo Keese Albertini, Bruno A. N. Travençolo:
A Dynamic Data Structure for Representing Timed Transitive Closures on Disk. CoRR abs/2306.13937 (2023) - [i5]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 abs/2308.11734 (2023) - 2022
- [j21]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) - [j20]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): 3131-3144 (2022) - [j19]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): 1205-1214 (2022) - [j18]Luiz F. A. Brito, Marcelo K. Albertini, Arnaud Casteigts, Bruno A. N. Travençolo:
A dynamic data structure for temporal reachability with unsorted contact insertions. Soc. Netw. Anal. Min. 12(1): 22 (2022) - [i4]Luiz F. A. Brito, Bruno A. N. Travençolo, Marcelo K. Albertini:
A Review of In-Memory Space-Efficient Data Structures for Temporal Graphs. CoRR abs/2204.12468 (2022) - 2021
- [j17]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) - [j16]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: 296-308 (2021) - [j15]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: 57-66 (2021) - [j14]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): 1275-1284 (2021) - [j13]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: 102018 (2021) - [j12]Yiye Zou, Xiaomin Yang, Marcelo Keese Albertini, Farhan Hussain:
LMSN: a lightweight multi-scale network for single image super-resolution. Multim. Syst. 27(4): 845-856 (2021) - [i3]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 abs/2102.04187 (2021) - [i2]Marcelo K. Albertini, Felipe A. Louza:
Practical evaluation of Lyndon factors via alphabet reordering. CoRR abs/2108.04988 (2021) - [i1]João Batista Florindo, Young-Sup Lee, Kyungkoo Jun, Gwanggil Jeon, Marcelo K. Albertini:
VisGraphNet: a complex network interpretation of convolutional neural features. CoRR abs/2108.12490 (2021) - 2020
- [j11]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: 125648-125658 (2020) - [j10]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): 118 (2020) - [j9]Gabriel Damasceno Rodrigues, Marcelo Keese Albertini, Xiaomin Yang:
An empirical evaluation of random transformations applied to ensemble clustering. Multim. Tools Appl. 79(45-46): 34253-34285 (2020) - [j8]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): 34531-34543 (2020) - [c6]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: 301-307
2010 – 2019
- 2018
- [j7]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Estimating data stream tendencies to adapt clustering parameters. Int. J. High Perform. Comput. Netw. 11(1): 34-44 (2018) - 2017
- [j6]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): 1750004:1-1750004:17 (2017) - [c5]Gabriel Rodrigues da Silva, Marcelo Keese Albertini:
Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters. BRACIS 2017: 312-317 - [c4]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: 252-257 - 2016
- [j5]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): 64-84 (2016) - 2015
- [c3]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: 920-927 - 2013
- [j4]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. 7(4): 435-464 (2013) - [j3]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. 17(3): 439-457 (2013) - 2012
- [b1]Marcelo Keese Albertini:
Adapting the inductive bias of data-stream clustering algorithms. University of São Paulo, Brazil, 2012 - 2011
- [j2]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): 75-84 (2011) - 2010
- [j1]Rodrigo Fernandes de Mello, Matheus L. dos Santos, Marcelo Keese Albertini:
Variation Detection applied in User Signature Verification. RITA 17(1): 71-92 (2010) - [p1]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
A Self-Organizing Neural Network to Approach Novelty Detection. Intelligent Systems for Automated Learning and Adaptation 2010: 49-71
2000 – 2009
- 2008
- [c2]Marcelo Keese Albertini, Kuan-Ching Li, Rodrigo Fernandes de Mello:
A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. APSCC 2008: 150-155 - 2007
- [c1]Marcelo Keese Albertini, Rodrigo Fernandes de Mello:
A self-organizing neural network for detecting novelties. SAC 2007: 462-466
Coauthor Index
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last updated on 2024-10-08 20:36 CEST by the dblp team
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