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- Integrating audio and visual modalities for multimodal personality trait recognition via hybrid deep learning28
A new method of multimodal personality trait recognition integrating audio-visual modalities based on a hybrid deep learning framework, which is comprised of convolutional neural networks (CNN), bi-directional long short-term memory network (Bi-LSTM), and the Transformer network is proposed.
- Stroke and Risk Factors in Antiphospholipid Syndrome13
The multivariate logistic regression showed that hypertension, diabetes, livedo reticularis, and other central nervous system involvements were significant related factors for stroke.
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- Machine Learning Techniques and Systems for Mask-Face Detection—Survey and a New OOD-Mask Approach9
An up-to-date review of recent mask-face detection research in both two-class cases and three- class cases is provided and a new framework named Out-of-distribution Mask (OOD-Mask) is proposed to perform the three-class detection task using only two- class training data.
- Analytic Continual Test-Time Adaptation for Multi-Modality Corruption6
A novel approach, Multi-modality Dynamic Analytic Adapter (MDAA), to tackle MM-CTTA tasks, which introduces analytic learning-a closed-form training technique-through Analytic Classifiers (ACs) to mitigate catastrophic forgetting and the Dynamic Late Fusion Mechanism (DLFM) to dynamically select and integrate reliable information from different modalities.
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- TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering6
A novel Table-alignment-based Cell-selection and Reasoning model (TACR) for hybrid text and table QA and WikiTableQuestions datasets is proposed, showing that TACR achieves state-of-the-art results on cell selection and outperforms fine-grained evidence retrieval baselines on HybridQA, while achieving competitive performance on WTQ.
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- Decoupled neural network training with re-computation and weight prediction1
A new form of decoupling learning, named decoupled neural network training scheme with re-computation and weight prediction (DTRP) is proposed, showing comparable or better results than the state-of-the-art methods and BP.
- Dynamic Role-based Access Control for Web Services using Context and Trust1
A dynamic user role authorization algorithm which considers the user lifecycle contexts in the open systems is proposed and designed to meet the dynamic characteristic of subject and object effectively, and achieve intelligent and scientific user role assignments.
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- Study on New-countryside Information Service System–
Based on introducing the research status of rural information service system at abroad, the existing problems were pointed out and the rural informationservice system was constructed.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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