Interpretable multimodal classification for age-related macular degeneration diagnosis. by Carla Vairetti, Sebastián Maldonado, Loreto Cuitino, Cristhian A Urzua

“…In this paper, we analyze the performance of three different XAI strategies for medical image analysis in ophthalmology. …”
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Egg mass classification considering the hatching process of Pomacea canaliculata by Toma Yoshida, Tomoyuki Yamaguchi

“…Abstract Pomacea canaliculata feeds on seedlings that have been planted less than three weeks ago. This study aimed to construct an imaging system that can eliminate the egg masses of P. canaliculata before they hatch and multiply. …”
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Advanced Cancer Classification Using AI and Pattern Recognition Techniques by Haddou Bouazza Sara, Haddou Bouazza Jihad

“…Accurate cancer classification is essential for early detection and effective treatment, yet the complexity of gene expression presents significant challenges. …”
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Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age by Esraa Aldreabi, Mukul Dev Chhangani, Khawlah Harahsheh, Justin Lee, Chung-Hao Chen, Jeremy Blackburn

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A Comparison of Four Classification Algorithms for Facial Expression Recognition by Hivi I. Dino, Maiwan B. Abdulrazzaq

“…This paper provides a comparison approach for FER based on three feature selection methods which are correlation, gain ration, and information gain for determining the most distinguished features of face images using multi-classification algorithms which are multilayer perceptron, Naïve Bayes, decision tree, and K-nearest neighbor (KNN). …”
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Survey of research on encrypted traffic classification based on machine learning by FU Yu, LIU Taotao, WANG Kun, YU Yihan

“…To this end, a systematic review of the latest advancements in machine learning-driven encrypted traffic classification was provided. Firstly, the encrypted traffic classification work was roughly divided into three parts: data collection and processing, feature extraction and selection, and traffic classification and performance evaluation, which correspond to data acquisition, significant feature construction, and model application and validation in encrypted traffic classification. …”
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Self-education and information technologies – changeability of forms and difficulty of classification by Sergo KURULISZWILI

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Validation of categories of the International Classification of Functioning, Disability and Health for the elderly by Silvana Sidney Costa Santos, Silomar Ilha, Edison Luiz Devos Barlem, Daiane Porto Gautério-Abreu, Bárbara Tarouco da Silva, Inaiá Santos Alves

“…Objective: to validate categories of the International Classification of Functioning, Disability and Health directed to the elderly. …”
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Comparative Analysis of Machine Learning Algorithms on Family Wellness Classification by Retno Budiarti, Febri Hemarani, Mohammad Reza, Rindi Melati Mulyasari

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Gene expression data classification: some distance-based methods by Olusola Samuel Makinde

“…Gene selection technique based on shrunken centroids regularized discriminant analysis was employed on small round blue cell tissue, colon cancer, lymphoma, prostate cancer and leukaemia data before applying the classification rules. Three simulation studies were performed to mimic gene expression data. …”
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Classification of stratospheric extreme events according to their downward propagation to the troposphere by T. Runde, M. Dameris, H. Garny, D. E. Kinnison

“…Results are consistent across all three data sets.…”
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Multivariate classification of provinces of Vietnam according to the level of sustainable development by Truong Van Canh

“…The research aims to classify the level of sustainability of 63 provinces in Vietnam upon 24 indicators reflecting three main dimensions of sustainable development by using multivariate classification method for the year 2014–2016. …”
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Classification of Internet banking customers using data mining algorithms by Reza Radfar, Navid Nezafati, Saeid Yousefi Asli

“…In compare to other decision trees, ours is based on both optimization and accuracy factors that recognizes new potential internet banking customers using a three level classification, which is low/medium and high. …”
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Feature Selection-Based Hierarchical Deep Network for Image Classification by Guiqing He, Jiaqi Ji, Haixi Zhang, Yuelei Xu, Jianping Fan

“…The experimental results on three datasets show that adding a feature selection module in a hierarchical deep network can perform better performance in large-scale image classification.…”
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Machine Learning Models for Artist Classification of Cultural Heritage Sketches by Gianina Chirosca, Roxana Rădvan, Silviu Mușat, Matei Pop, Alecsandru Chirosca

“…We approach this challenging task with three machine learning algorithms and evaluate their performance on a small collection of images from five distinct artists. …”
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A Deep Learning Approach for Distant Infrasound Signals Classification by Xiaofeng Tan, Xihai Li, Hongru Li, Xiaoniu Zeng, Tianyou Liu, Shengjie Luo

“…The proposed framework incorporates advanced signal processing techniques, signal enhancement algorithms, and deep learning architectures to achieve precise classification of infrasound signals. This paper designs three sets of comparative experiments, and the results demonstrate that the proposed method achieves a classification accuracy rate of 83.9% on chemical explosion and seismic infrasound datasets, outperforming eight other comparative classification methods. …”
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Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data by Lei Wang, Shiwen Deng

“…Conventional remote sensing classification approaches based on single-source data exhibit inherent limitations, driving significant research interest in improved multimodal data fusion techniques. …”
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Enhancing Skin Lesion Classification Performance with the ABC Ensemble Model by Jae-Young Choi, Min-Ji Song, You-Jin Shin

“…Our model consists of five distinct blocks, two of which focus on learning general image characteristics, while the remaining three focus on specialized features related to the ABCD rule. …”
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INNOVATIONS AND THEIR INDUSTRIAL CLASSIFICATIONS: APPROACH TO BUILDING A NEW TYPOLOGY by A. V. Trachuk, N. V. Linder

“…The article is devoted to the analysis of research in the field of typology and classification of innovations. We consider three types of classification the second innovation: the classification by type of innovation and application; classification of innovations by degree of novelty and level of change; rating by innovation. …”
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Lateral classification of vehicle behavior for automated logic scenario generation by Vjekoslav Diklić, Ivan Marković

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