International Journal of Computational Intelligence Systems最新文献

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Dual Adapter Tuning of Vision-Language Models Using Large Language Models. 使用大型语言模型的视觉语言模型的双适配器调优。
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2025-01-01 Epub Date: 2025-05-08 DOI: 10.1007/s44196-025-00853-0
Mohammad Reza Zarei, Abbas Akkasi, Majid Komeili
{"title":"Dual Adapter Tuning of Vision-Language Models Using Large Language Models.","authors":"Mohammad Reza Zarei, Abbas Akkasi, Majid Komeili","doi":"10.1007/s44196-025-00853-0","DOIUrl":"https://doi.org/10.1007/s44196-025-00853-0","url":null,"abstract":"<p><p>Vision-language models (VLMs) pre-trained on large-scale image-text pairs have shown impressive results in zero-shot vision tasks. Knowledge transferability of these models can be further improved with the help of a limited number of samples. Feature adapter tuning is a prominent approach employed for efficient transfer learning (ETL). However, most of the previous ETL models focus on tuning either prior-independent or prior-dependent feature adapters. We propose a novel ETL approach that leverages both adapter styles simultaneously. Additionally, most existing ETL models rely on using textual prompts constructed by completing general pre-defined templates. This approach neglects the descriptive knowledge that can assist VLM by presenting an informative prompt. Instead of pre-defined templates for prompt construction, we use a pre-trained LLM to generate attribute-specific prompts for each visual category. Furthermore, we guide the VLM with context-aware discriminative information generated by the pre-trained LLM to emphasize features that distinguish the most probable candidate classes. The proposed ETL model is evaluated on 11 datasets and sets a new state of the art. Our code and all collected prompts are publicly available at https://github.com/mrzarei5/DATViL.</p>","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"18 1","pages":"109"},"PeriodicalIF":2.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077310/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Responsible Detection and Mitigation of AI-Generated Text Using Hybrid Neural Networks and Feature Fusion: Toward Trustworthy Content Management in the Era of Large Language Models. 基于混合神经网络和特征融合的人工智能生成文本的负责任检测和缓解:面向大型语言模型时代的可信内容管理。
IF 3 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2025-01-01 Epub Date: 2025-11-03 DOI: 10.1007/s44196-025-01025-w
Raed Alharthi, Stephen Ojo, Thomas I Nathaniel, Nagwan Abdel Samee, Muhammad Umer, Mona M Jamjoom, Shtwai Alsubai, Jawad Khan
{"title":"Responsible Detection and Mitigation of AI-Generated Text Using Hybrid Neural Networks and Feature Fusion: Toward Trustworthy Content Management in the Era of Large Language Models.","authors":"Raed Alharthi, Stephen Ojo, Thomas I Nathaniel, Nagwan Abdel Samee, Muhammad Umer, Mona M Jamjoom, Shtwai Alsubai, Jawad Khan","doi":"10.1007/s44196-025-01025-w","DOIUrl":"10.1007/s44196-025-01025-w","url":null,"abstract":"<p><p>The proliferation of AI-generated text, fueled by large language models (LLMs), presents pressing challenges in maintaining content authenticity, safeguarding academic integrity, and mitigating misinformation. This paper proposes a responsible detection and mitigation framework that leverages hybrid neural networks and multi-feature fusion to distinguish AI-generated text from human-authored content. The proposed model integrates BERT-based semantic embeddings, convolutional features via Text-CNN, and statistical descriptors into a unified representation. A CNN-BiLSTM architecture is employed to capture both local syntactic patterns and long-range semantic dependencies. The framework emphasizes responsible AI (RAI) by prioritizing interpretability and reducing bias in detection decisions. Extensive evaluations on a balanced benchmark dataset demonstrate the model's superior performance, achieving 95.4% accuracy, 94.8% precision, 94.1% recall, and a 96.7% F1-score-outperforming leading transformer-based baselines. The proposed framework is also evaluated on the CoAID external independent dataset to show generalizability. This study contributes to the responsible deployment of LLMs by enhancing transparency and robustness in AI-generated content verification, paving the way for secure and ethical integration of generative models into content management systems.</p>","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"18 1","pages":"274"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583390/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145454116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy 基于 LDA 的塑料循环经济社交媒体数据挖掘框架
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-10 DOI: 10.1007/s44196-023-00375-7
Yangyimin Xue, Chandrasekhar Kambhampati, Yongqiang Cheng, Nishikant Mishra, N. Wulandhari, Pauline Deutz
{"title":"A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy","authors":"Yangyimin Xue, Chandrasekhar Kambhampati, Yongqiang Cheng, Nishikant Mishra, N. Wulandhari, Pauline Deutz","doi":"10.1007/s44196-023-00375-7","DOIUrl":"https://doi.org/10.1007/s44196-023-00375-7","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"89 9","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139440433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identifying People’s Faces in Smart Banking Systems Using Artificial Neural Networks 利用人工神经网络识别智能银行系统中的人脸
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-10 DOI: 10.1007/s44196-023-00383-7
L. Nosrati, A. Bidgoli, H. Javadi
{"title":"Identifying People’s Faces in Smart Banking Systems Using Artificial Neural Networks","authors":"L. Nosrati, A. Bidgoli, H. Javadi","doi":"10.1007/s44196-023-00383-7","DOIUrl":"https://doi.org/10.1007/s44196-023-00383-7","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"36 10","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139441397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A GMEE-WFED System: Optimizing Wind Turbine Distribution for Enhanced Renewable Energy Generation in the Future GMEE-WFED 系统:优化风力涡轮机分布,提高未来可再生能源发电量
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-08 DOI: 10.1007/s44196-023-00391-7
M. A. Salman, M. A. Mahdi, Samaher Al-Janabi
{"title":"A GMEE-WFED System: Optimizing Wind Turbine Distribution for Enhanced Renewable Energy Generation in the Future","authors":"M. A. Salman, M. A. Mahdi, Samaher Al-Janabi","doi":"10.1007/s44196-023-00391-7","DOIUrl":"https://doi.org/10.1007/s44196-023-00391-7","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"20 17","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139445652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Active Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction 带前瞻性预测的连续行动空间主动探索深度强化学习
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-08 DOI: 10.1007/s44196-023-00389-1
Dongfang Zhao, Huanshi Xu, Zhang Xun
{"title":"Active Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction","authors":"Dongfang Zhao, Huanshi Xu, Zhang Xun","doi":"10.1007/s44196-023-00389-1","DOIUrl":"https://doi.org/10.1007/s44196-023-00389-1","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"56 18","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection 利用粒子群优化器优化用于坑洞检测的卷积森林
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-08 DOI: 10.1007/s44196-023-00390-8
Abeer Aljohani
{"title":"Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection","authors":"Abeer Aljohani","doi":"10.1007/s44196-023-00390-8","DOIUrl":"https://doi.org/10.1007/s44196-023-00390-8","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"55 47","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and Implementation of Remote Piano Teaching Based on Attention-Induced Multi-Head Convolutional Neural Network Optimized with Hunter–Prey Optimization 基于猎人-猎物优化的注意力诱导多头卷积神经网络的远程钢琴教学设计与实现
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-03 DOI: 10.1007/s44196-023-00379-3
Li Song
{"title":"Design and Implementation of Remote Piano Teaching Based on Attention-Induced Multi-Head Convolutional Neural Network Optimized with Hunter–Prey Optimization","authors":"Li Song","doi":"10.1007/s44196-023-00379-3","DOIUrl":"https://doi.org/10.1007/s44196-023-00379-3","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"142 25","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139387450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution 利用基于差分进化的优化机器学习模型检测甲状腺疾病
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2024-01-03 DOI: 10.1007/s44196-023-00388-2
Punit Gupta, F. Rustam, Khadija Kanwal, Wajdi Aljedaani, Sultan Alfarhood, Mejdl S. Safran, I. Ashraf
{"title":"Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution","authors":"Punit Gupta, F. Rustam, Khadija Kanwal, Wajdi Aljedaani, Sultan Alfarhood, Mejdl S. Safran, I. Ashraf","doi":"10.1007/s44196-023-00388-2","DOIUrl":"https://doi.org/10.1007/s44196-023-00388-2","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"142 48","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139387422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Domain Knowledge Transformer Model for Occupation Profiling 用于职业分析的领域知识转换器模型
IF 2.9 4区 计算机科学
International Journal of Computational Intelligence Systems Pub Date : 2023-12-21 DOI: 10.1007/s44196-023-00386-4
Zhou Ai, Zhang Yijia, Mingyu Lu
{"title":"A Domain Knowledge Transformer Model for Occupation Profiling","authors":"Zhou Ai, Zhang Yijia, Mingyu Lu","doi":"10.1007/s44196-023-00386-4","DOIUrl":"https://doi.org/10.1007/s44196-023-00386-4","url":null,"abstract":"","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"48 8","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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