Titlebook: Intelligent Systems; 9th Brazilian Confer Ricardo Cerri,Ronaldo C. Prati Conference proceedings 2020 Springer Nature Switzerland AG 2020 ar

advocate

書目名稱Intelligent Systems影響因子(影響力)




書目名稱Intelligent Systems影響因子(影響力)學(xué)科排名




書目名稱Intelligent Systems網(wǎng)絡(luò)公開度




書目名稱Intelligent Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Systems被引頻次




書目名稱Intelligent Systems被引頻次學(xué)科排名




書目名稱Intelligent Systems年度引用




書目名稱Intelligent Systems年度引用學(xué)科排名




書目名稱Intelligent Systems讀者反饋




書目名稱Intelligent Systems讀者反饋學(xué)科排名

expository

A New Hybridization of Evolutionary Algorithms, GRASP and Set-Partitioning Formulation for the Capac satisfactory performance. Moreover, a statistical test shows that there is not significant difference between the best known solutions of benchmark instances and the solutions of the proposed method.

ASTER

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. This algorithm optimizes the hyper-parameter settings of a small ensemble of 5 interpretable classifiers, which allows users to interpret each classifier. In our experiments, the ensembles learned by the proposed Evolutionary Algorithm achieved the same level of predictive accuracy as a well-known

Retrieval

Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problemor of these algorithms in a discrete problem: the Dynamic Multiobjective Knapsack Problems (DMKP). Our results have shown that some of them are also promising for applying to problems with discrete space.

FUME

Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clusteringto predict the best number of final clusters, so no prior assumption about the data set at hand is required. The proposed approach is compared to standard GSO, BSA and other three EAs and SIs from the literature by means of nine real-world problems, showing promising results considering four cluster

騙子

Cloudburst

formula

A Pipelined Approach to Deal with Image Distortion in Computer Visionosure and Shot noise. On the one hand, the proposed pipeline can provide significant gain on miss-exposed images. On the other hand, harsh miss-exposure, signal-dependent noise, and impulse noise, incur in a high impact on all evaluated models.

厚顏

Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Envirng only 2D cameras. Results show more than 99% of accuracy in the evaluated scenarios, revealing that approaches adopting deep learning algorithms could be promising for human-robot collision avoidance in industrial scenarios. The proposed models may support safety in industrial environments and red

plasma-cells

Gabriel Fontes da Silva,Leila Silva,André Brittoact with research workers from a much broader spectrum of fields than is common in the traditional mono-culture disciplines. Consequently, it is beneficial to have occasions which bring together significant numbers of workers in this field in a forum that encourages the exchange of ideas and which l