Advanced Search Results For "Fujita, Hamido"
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Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 11, Pp 1970-1989 (2023)
Abstract: Student success is essential for improving the higher education system student outcome. One way to measure student success is by predicting students’ performance based on their prior academic grades. Concerning the significance of this area, various pr...
Automated detection of pain levels using deep feature extraction from shutter blinds-based dynamic-sized horizontal patches with facial images
Publication Type: Academic Journal
Source(s): Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract: Abstract Pain intensity classification using facial images is a challenging problem in computer vision research. This work proposed a patch and transfer learning-based model to classify various pain intensities using facial images. The input facial ima...
Special issue 'Deep Learning for Natural Language Processing: Emerging methods and applications'
Publication Type: Academic Journal
Source(s): Array, Vol 14, Iss , Pp 100138- (2022)
An ELECTRA-Based Model for Neural Coreference Resolution
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 10, Pp 75144-75157 (2022)
Abstract: In last years, coreference resolution has received a sensibly performance boost exploiting different pre-trained Neural Language Models, from BERT to SpanBERT until Longformer. This work is aimed at assessing, for the first time, the impact of ELECTRA ...
Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 10, Pp 61544-61566 (2022)
Abstract: Missing values are highly undesirable in real-world datasets. The missing values should be estimated and treated during the preprocessing stage. With the expansion of nature-inspired metaheuristic techniques, interest in missing value imputation (MVI) ...
Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 10, Pp 36429-36463 (2022)
Abstract: Phishing has become an increasing concern and captured the attention of end-users as well as security experts. Existing phishing detection techniques still suffer from the deficiency in performance accuracy and inability to detect unknown attacks despi...
Multi-Task Learning for Scene Text Image Super-Resolution with Multiple Transformers
Publication Type: Academic Journal
Source(s): Electronics, Vol 11, Iss 3813, p 3813 (2022)
Abstract: Scene text image super-resolution aims to improve readability by recovering text shapes from low-resolution degraded text images. Although recent developments in deep learning have greatly improved super-resolution (SR) techniques, recovering text imag...
Multilayer Framework for Botnet Detection Using Machine Learning Algorithms
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 9, Pp 48753-48768 (2021)
Abstract: A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and identity stealing. The botnet also can avoid being detected by a security syste...
Multiclass Prediction Model for Student Grade Prediction Using Machine Learning
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 9, Pp 95608-95621 (2021)
Abstract: Today, predictive analytics applications became an urgent desire in higher educational institutions. Predictive analytics used advanced analytics that encompasses machine learning implementation to derive high-quality performance and meaningful informa...
ELECTRA for Neural Coreference Resolution in Italian
Publication Type: Academic Journal
Source(s): IEEE Access, Vol 9, Pp 115643-115654 (2021)
Abstract: In recent years, the impact of Neural Language Models has changed every field of Natural Language Processing. In this scenario, coreference resolution has been among the least considered task, especially in language other than English. This work propos...