Titlebook: Machine Learning and Metaheuristics Algorithms, and Applications; First Symposium, SoM Sabu M. Thampi,Ljiljana Trajkovic,Stefano Berretti C

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Facial Emotion Recognition Using Shallow CNN,which can do this task more effectively and attained the state-of-the-art accuracy with less computational complexity (in terms of learnable parameters). The proposed architecture is shallow and gives comparable performance with all the existing approaches for FER in deep learning.

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An Efficient Word Embedded Click-Bait Classification of YouTube Titles Using SVM,rrent work focuses on classification of YouTube titles into click-baits and non click-baits using tokenization and word embedding applied to SVM. Upon simulation of the algorithm we are able to increase the accuracy, compared to some of the other classification algorithms.

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NSGA III for CNC End Milling Process Optimization,aluminium block and solved using Non-dominated Sorting Genetic Algorithm (NSGA III). The material removal rate, and surface roughness are considered as the crucial performance criteria. It is shown that the regression driven NSGA III is efficient and effective while obtaining improved process responses for the end milling.

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Proposing Contextually Relevant Advertisements for Online Videos,account, Ad applicability to video content. We present a solution that uses a combination of deep learning and natural language processing techniques to provide contextually relevant advertisement for a given input video.

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A Brain Computer Interface Based Visual Keyboard System Using SSVEP and Electrooculogram,s number of visual stimulus frequencies by integrating EOG with the SSVEP keyboard system. The multi-threshold algorithm and extended multivariate synchronization index (EMSI) method were used for eye gaze detection and SSVEP frequency recognition respectively. Ten healthy subjects were recruited fo

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Charbel Nicolas,Abdel-Mehsen Ahmad,Jose Rubio Hernan,Gilbert Habibiden. De angstklachten zijn dan zoveel minder geworden, dat er van een sociale fobie geen sprake meer is.Om zelf aan de slag te kunnen gaan, is het noodzakelijk de nodige kennis over sociale fobie in huis te hebben. En voor wie in therapie wil gaan, geldt hetzelfde: pas wanneer men weet wat er precies aan de 978-90-313-3878-8978-90-313-6516-6

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