Marcelo Keese Albertini

发表

Multifocus image fusion using convolutional neural network

Xiaomin Yang, Turgay Celik, Yu Wen, 2020, Multimedia Tools and Applications.

Entropy-Based Approach to Analyze and Classify Mineral Aggregates

Luciano da Fontoura Costa, Rodrigo Fernandes de Mello, Luciano José Senger, 2011 .

MP-Draughts: Unsupervised Learning Multi-agent System Based on MLP and Adaptive Neural Networks

Marcelo Keese Albertini, Valquiria Aparecida Rosa Duarte, Rita Maria da Silva Julia, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

A Self-Organizing Neural Network to Approach Novelty Detection

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, R. Mello, 2010, Intelligent Systems for Automated Learning and Adaptation.

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

Xiaomin Yang, Gwanggil Jeon, Turgay Celik, 2020, Entropy.

LMSN:a lightweight multi-scale network for single image super-resolution

Xiaomin Yang, Marcelo Keese Albertini, Farhan Hussain, 2020, Multim. Syst..

Estimating data stream tendencies to adapt clustering parameters

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, 2018, Int. J. High Perform. Comput. Netw..

Empirical evaluation of strategies to process range queries of numeric sequences in batch-mode

Marcelo Keese Albertini, Luiz F. A. Brito, 2017, SBBD.

An empirical evaluation of random transformations applied to ensemble clustering

Xiaomin Yang, Marcelo Keese Albertini, Gabriel Damasceno Rodrigues, 2020, Multimedia Tools and Applications.

Wild boar recognition using convolutional neural networks

Marcelo Keese Albertini, André Ricardo Backes, Luís Carlos Silva Júnior, 2020, Concurr. Comput. Pract. Exp..

Data stream dynamic clustering supported by Markov chain isomorphisms

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, R. Mello, 2013, Intell. Data Anal..

Adaptação de viés indutivo de algoritmos de agrupamento de fluxos de dados

Marcelo Keese Albertini, Marcelo Keese Albertini, 2012 .

Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters

Marcelo Keese Albertini, Gabriel Rodrigues da Silva, M. Albertini, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

A self-organizing neural network for detecting novelties

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, R. Mello, 2007, SAC '07.

Min-heap-based scheduling algorithm: an approximation algorithm for homogeneous and heterogeneous distributed systems

Rodrigo Fernandes de Mello, Paulo Henrique Ribeiro Gabriel, Marcelo Keese Albertini, 2016, Int. J. Parallel Emergent Distributed Syst..

Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images.

Gwanggil Jeon, Soojeong Lee, Marcelo Keese Albertini, 2020, Applied optics.

A Self-Organizing Neural Network to Approach Novelty Detection

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, 2010, Intelligent Systems for Automated Learning and Adaptation.

Medical image super-resolution with laplacian dense network

Awais Ahmad, Xiaomin Yang, Marcelo Keese Albertini, 2020, Multimedia Tools and Applications.

Variation Detection applied in User Signature Verification

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, Matheus L. dos Santos, 2011, RITA.

Estimating photovoltaic power generation: Performance analysis of artificial neural networks, Support Vector Machine and Kalman filter

Marcelo Keese Albertini, Geraldo Caixeta Guimarães, Raul Vitor Arantes Monteiro, 2017 .

Adapting the inductive bias of data-stream clustering algorithms

Marcelo Keese Albertini, M. Albertini, 2012 .

VisGraphNet: A complex network interpretation of convolutional neural features

Gwanggil Jeon, João Batista Florindo, Marcelo Keese Albertini, 2021, Inf. Sci..

Visualization of Clusters in an Educational Data Set Based on Convex-Hull Shape Preservation Algorithm

André Ricardo Backes, Marcelo Keese Albertini, 2017, Int. J. Pattern Recognit. Artif. Intell..

A Novel Approach to Quantify Novelty Levels Applied on Ubiquitous Music Distribution

Kuan-Ching Li, Rodrigo Fernandes de Mello, Marcelo Keese Albertini, 2008, 2008 IEEE Asia-Pacific Services Computing Conference.

Energy-based function to evaluate data stream clustering

Rodrigo Fernandes de Mello, Marcelo Keese Albertini, R. Mello, 2013, Adv. Data Anal. Classif..

A dynamic data structure for temporal reachability with unsorted contact insertions pdf

Bruno A. N. Travençolo, Arnaud Casteigts, Marcelo Keese Albertini, 2021, Social Network Analysis and Mining.

Guest editorial: Special issue on design architecture and applications of smart embedded devices in internet of things

Awais Ahmad, Abdellah Chehri, Gwanggil Jeon, 2021, J. Syst. Archit..

Image super-resolution via enhanced multi-scale residual network

Marco Anisetti, Xiaomin Yang, Marcelo Keese Albertini, 2021, J. Parallel Distributed Comput..

Lightweight network with one-shot aggregation for image super-resolution

Xiaomin Yang, Marcelo Keese Albertini, Lihui Chen, 2021, Journal of Real-Time Image Processing.

Aerial image super-resolution based on deep recursive dense network for disaster area surveillance

Gwanggil Jeon, Xiaomin Yang, Marcelo Keese Albertini, 2021, Pers. Ubiquitous Comput..