Marcelo Keese Albertini

37 papers B 2C 1Misc 2Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Beyond the Black-Box: Understanding XGBoost to Predict Pediatric Hospital Readmission. CBMS Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
2024	J	`jnl`	Dynamic compact data structure for temporal reachability with unsorted contact insertions. Comput. J. Luiz Fernando Afra Brito, Marcelo Keese Albertini, Bruno Augusto Nassif Travençolo, Gonzalo Navarro
2024	J	`jnl`	Machine learning for hospital readmission prediction in pediatric population. Comput. Methods Programs Biomed. Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
2024	J	`jnl`	Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021. CoRR Marcelo Keese Albertini, André Ricardo Backes
2023	J	`jnl`	A Dynamic Data Structure for Representing Timed Transitive Closures on Disk. CoRR Luiz F. Afra Brito, Marcelo Keese Albertini, Bruno A. N. Travençolo
2023	J	`jnl`	Dynamic Compact Data Structure for Temporal Reachability with Unsorted Contact Insertions. CoRR Luiz Fernando Afra Brito, Marcelo Keese Albertini, Bruno Augusto Nassif Travençolo, Gonzalo Navarro
2023	Misc	`conf`	Prediction of readmissions in hospitalized children and adolescents by machine learning. SAC Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
2023	J	`jnl`	Validation of the Hospital Score as Predictor of 30-Day Potentially Avoidable Readmissions in a Brazilian Population: Retrospective Cohort Study. J. Circuits Syst. Comput. Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena
2022	J	`jnl`	Aerial image super-resolution based on deep recursive dense network for disaster area surveillance. Pers. Ubiquitous Comput. Feiqiang Liu, Qiang Yu, Lihui Chen, Gwanggil Jeon, Marcelo Keese Albertini, Xiaomin Yang
2022	J	`jnl`	Medical image super-resolution with laplacian dense network. Multim. Tools Appl. Rui Tang, Lihui Chen, Rongzhu Zhang, Awais Ahmad, Marcelo Keese Albertini, Xiaomin Yang
2022	J	`jnl`	Potential of sixth-generation technologies for emerging future wireless networks. Trans. Emerg. Telecommun. Technol. Gwanggil Jeon, Valerio Bellandi, Abdellah Chehri, Marcelo Keese Albertini
2021	J	`jnl`	A Dynamic Data Structure for Temporal Reachability with Unsorted Contact Insertions. CoRR Luiz F. Afra Brito, Marcelo Keese Albertini, Arnaud Casteigts, Bruno A. N. Travençolo
2021	J	`jnl`	Guest editorial: Special issue on design architecture and applications of smart embedded devices in internet of things. J. Syst. Archit. Gwanggil Jeon, Awais Ahmad, Abdellah Chehri, Marcelo Keese Albertini
2021	J	`jnl`	Image super-resolution via enhanced multi-scale residual network. J. Parallel Distributed Comput. Mengjie Wang, Xiaomin Yang, Marco Anisetti, Rongzhu Zhang, Marcelo Keese Albertini, Kai Liu
2021	J	`jnl`	LMSN: a lightweight multi-scale network for single image super-resolution. Multim. Syst. Yiye Zou, Xiaomin Yang, Marcelo Keese Albertini, Farhan Hussain
2021	J	`jnl`	Lightweight network with one-shot aggregation for image super-resolution. J. Real Time Image Process. Rui Tang, Lihui Chen, Yiye Zou, Zhibing Lai, Marcelo Keese Albertini, Xiaomin Yang
2021	J	`jnl`	VisGraphNet: A complex network interpretation of convolutional neural features. Inf. Sci. João Batista Florindo, Young-Sup Lee, Kyungkoo Jun, Gwanggil Jeon, Marcelo Keese Albertini
2021	J	`jnl`	Wild boar recognition using convolutional neural networks. Concurr. Comput. Pract. Exp. Luís Carlos Silva Júnior, Maricéia B. S. Pàdua, Leonardo M. Ogusuku, Marcelo Keese Albertini, Renato Pimentel, André R. Backes
2020	J	`jnl`	An empirical evaluation of random transformations applied to ensemble clustering. Multim. Tools Appl. Gabriel Damasceno Rodrigues, Marcelo Keese Albertini, Xiaomin Yang
2020	J	`jnl`	Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter. Entropy Yudan Liu, Xiaomin Yang, Rongzhu Zhang, Marcelo Keese Albertini, Turgay Çelik, Gwanggil Jeon
2020	J	`jnl`	Multi-Phases and Various Feature Extraction and Selection Methodology for Ensemble Gradient Boosting in Estimating Respiratory Rate. IEEE Access Soojeong Lee, Chang-Hwan Son, Marcelo Keese Albertini, Henrique C. Fernandes
2020	J	`jnl`	Multifocus image fusion using convolutional neural network. Multim. Tools Appl. Yu Wen, Xiaomin Yang, Turgay Çelik, Olga S. Sushkova, Marcelo Keese Albertini
2020	—	`conf`	Wild boar Classification by Using a Fusion of Texture Analysis Methods. SIBGRAPI Luís C. S. Júnior, Maricéia B. S. Pàdua, Leonardo M. Ogusuku, Marcelo Keese Albertini, Renato Pimentel, André R. Backes
2018	J	`jnl`	Estimating data stream tendencies to adapt clustering parameters. Int. J. High Perform. Comput. Netw. Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2017	—	`conf`	Empirical evaluation of strategies to process range queries of numeric sequences in batch-mode. SBBD (Short Papers) Luiz F. A. Brito, Marcelo Keese Albertini
2017	—	`conf`	Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters. BRACIS Gabriel Rodrigues da Silva, Marcelo Keese Albertini
2017	J	`jnl`	Visualization of Clusters in an Educational Data Set Based on Convex-Hull Shape Preservation Algorithm. Int. J. Pattern Recognit. Artif. Intell. Marcelo Keese Albertini, André Ricardo Backes
2016	J	`jnl`	Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems. Int. J. Parallel Emergent Distributed Syst. Paulo Henrique Ribeiro Gabriel, Marcelo Keese Albertini, Antonio Castelo, Rodrigo Fernandes de Mello
2015	B	`conf`	MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks. ICTAI Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, Marcelo Keese Albertini, Henrique Castro Neto
2013	J	`jnl`	Data stream dynamic clustering supported by Markov chain isomorphisms. Intell. Data Anal. Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2013	J	`jnl`	Energy-based function to evaluate data stream clustering. Adv. Data Anal. Classif. Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2012	—	`—`	Adapting the inductive bias of data-stream clustering algorithms. Marcelo Keese Albertini
2011	J	`jnl`	Entropy-Based Approach to Analyze and Classify Mineral Aggregates. J. Comput. Civ. Eng. Lilian Tais de Gouveia, Luciano da Fontoura Costa, Luciano José Senger, Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2010	—	`ch.`	A Self-Organizing Neural Network to Approach Novelty Detection. Intelligent Systems for Automated Learning and Adaptation Marcelo Keese Albertini, Rodrigo Fernandes de Mello
2010	J	`jnl`	Variation Detection applied in User Signature Verification. RITA Rodrigo Fernandes de Mello, Matheus L. dos Santos, Marcelo Keese Albertini
2008	C	`conf`	A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution. APSCC Marcelo Keese Albertini, Kuan-Ching Li, Rodrigo Fernandes de Mello
2007	Misc	`conf`	A self-organizing neural network for detecting novelties. SAC Marcelo Keese Albertini, Rodrigo Fernandes de Mello