Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation
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Volume 11, issue 1, December 2024
86 articles in this issue
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A systematic data characteristic understanding framework towards physical-sensor big data challenges
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On data efficiency of univariate time series anomaly detection models
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Hypoxia within tumor microenvironment characterizes distinct genomic patterns and aids molecular subtyping for guiding individualized immunotherapy
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Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques
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Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter
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A fuel consumption-based method for developing local-specific CO2 emission rate database using open-source big data
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Skyline query under multidimensional incomplete data based on classification tree
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Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
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A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
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DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies
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Hybrid topic modeling method based on dirichlet multinomial mixture and fuzzy match algorithm for short text clustering
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Establishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence
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Evaluation is key: a survey on evaluation measures for synthetic time series
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Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges
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Amharic spoken digits recognition using convolutional neural network
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Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices
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Computational 3D topographic microscopy from terabytes of data per sample
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High-performance computing in healthcare: An automatic literature analysis perspective
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De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods
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Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model
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DFA-Net: Dual multi-scale feature aggregation network for vessel segmentation in X-ray digital subtraction angiography
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Green and sustainable AI research: an integrated thematic and topic modeling analysis
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An improved deep hashing model for image retrieval with binary code similarities
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Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients
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The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis
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Adapting transformer-based language models for heart disease detection and risk factors extraction
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Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data
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The role of classifiers and data complexity in learned Bloom filters: insights and recommendations
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Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
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Multi-sample \(\zeta \)-mixup: richer, more realistic synthetic samples from a p-series interpolant
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An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
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Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
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Where you go is who you are: a study on machine learning based semantic privacy attacks
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Synthesizing class labels for highly imbalanced credit card fraud detection data
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Measuring regularity of human physical activities with entropy models
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