Search Results - embedding-_ classification

Application of embeddings for multi-class classification with optional extendability by Ф. Смілянець

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Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm by Ksenia Vladimirovna Lagutina

“…The article investigates modern vector text models for solving the problem of genre classification of Russian-language texts. Models include ELMo embeddings, BERT language model with pre-training and a complex of numerical rhythm features based on lexico-grammatical features. …”
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A Modulation Classification Algorithm Based on Feature-Embedding Graph Convolutional Network by Huali Zhu, Hua Xu, Yunhao Shi, Yue Zhang, Lei Jiang

“…In this paper, we propose a modulation classification algorithm based on a feature-embedding GCN (FE-GCN). …”
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Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings by Radosław Pytlak, Paweł Cichosz, Bartłomiej Fajdek, Bogdan Jastrzębski

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Accurate classification of materials with elEmBERT: Element embeddings for chemical benchmarks by Shokirbek Shermukhamedov, Dilorom Mamurjonova, Michael Probst

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Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter by Tumu Akshar, Lov Kumar, Dr. Yogita, Lalita Bhanu Murthy

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The Fine Feature Extraction and Attention Re-Embedding Model Based on the Swin Transformer for Pavement Damage Classification by Shizheng Zhang, Kunpeng Wang, Zhihao Liu, Min Huang, Sheng Huang

“…The accurate detection and classification of pavement damage are critical for ensuring timely maintenance and extending the service life of road infrastructure. …”
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EmoFusion: An integrated machine learning model leveraging embeddings and lexicons to improve textual emotion classification by Anjali Bhardwaj, Muhammad Abulaish

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Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors by Bruno Andò, Salvatore Baglio, Mattia Manenti, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Mario Zappia, Giovanni Mostile

“…This paper presents a multi-layer perceptron approach for the classification of four different classes of postural behaviors that is implemented by an embedded sensing architecture. …”
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Detection and Classification of Adult and Fetal ECG Using Recurrent Neural Networks, Embedded Volterra and Higher-Order Statistics by Zgallai, Walid A.

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Differentiated Embedded Pilot Assisted Automatic Modulation Classification for OTFS System: A Multi-Domain Fusion Approach by Zhenkai Liu, Bibo Zhang, Hao Luo, Hao He

Subjects: “…automatic modulation classification…”
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Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation by Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

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CLASSIFICATION OF MICROCONTROLLER INTEGRATED CIRCUIT ON THE POCKET OF JEDEC TRAY USING CONVOLUTIONAL NEURAL NETWORK IN EMBEDDED MACHINE LEARNING SYSTEM by Mark M. Pallones, King Harold A. Recto

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Gender Classification Using Face Vectors: A Deep Learning Approach Without Classical Models by Semiha Makinist, Galip Aydin

“…For classification, the Average Neural Face Embeddings (ANFE) technique was applied by calculating distances between vectors. …”
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ACCOUNTING FOR EMBEDDED DERIVATIVES by Yuliya A. Tarasova

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Optimizing multimodal scene recognition through relevant feature selection approach for scene classification by Sumathi K, Pramod Kumar S, H R Mahadevaswamy, Ujwala B S

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Application of Transfer Learning for enhanced pulmonary disease detection via CT image embeddings by Ф. Смілянець

Subjects: “…multiclass classification…”
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Memory Efficient Local Features Descriptor for Identity Document Detection on Mobile and Embedded Devices by Daniil P. Matalov, Elena E. Limonova, Natalya S. Skoryukina, Vladimir V. Arlazarov

“…In this paper, we propose a data-driven approach to training a memory-efficient local feature descriptor for identity documents location and classification on mobile and embedded devices. The proposed algorithm for retrieving a dataset of patches is based on the specifics of document detection in smartphone camera-captured images with a template matching approach. …”
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MWB_Analyzer: An Automated Embedded System for Real-Time Quantitative Analysis of Morphine Withdrawal Behaviors in Rodents by Moran Zhang, Qianqian Li, Shunhang Li, Binxian Sun, Zhuli Wu, Jinxuan Liu, Xingchao Geng, Fangyi Chen

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Large Language Models for Knowledge Graph Embedding: A Survey by Bingchen Liu, Yuanyuan Fang, Naixing Xu, Shihao Hou, Xin Li, Qian Li

“…As the superior performance of LLMs becomes apparent, they are increasingly being applied to knowledge graph embedding (KGE)-related tasks to improve the processing results. …”
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