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Hyperbolic Space Feature Enhancement and Interaction Mechanism for Classification on Small Multimodal Medical Datasets 小型多模态医学数据集分类的双曲空间特征增强及交互机制
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-04 DOI: 10.1111/exsy.70130
Leandro Muniz de Lima, Renato Antonio Krohling

Cancer is one of the leading causes of death worldwide, and early diagnosis of the disease is one of the most important factors in reducing mortality or increasing lifespan. Traditionally, healthcare experts use various sources of information to determine a diagnosis, often including some form of imaging along with clinical and demographic data. In this work, we propose a method to improve fusion of medical images and multi-field complementary data for classification in small datasets using deep learning models. To achieve that, we introduce a novel complementary data extraction block using hyperbolic space feature enhancement by Poincaré transformation and a mechanism for multi-field feature interactions. We evaluate it using datasets for the diagnosis of skin cancer (PAD-UFES-20) and oral cavity cancer (NDB-UFES). The experimental results show statistically significant improvement in performance on PAD-UFES-20 dataset of the proposed model over baseline. The SingleS Poincaré Conv–Concat with MetaBlock fusion model using PiT image backbone achieved performance of 0.8270±0.0114$$ 0.8270pm 0.0114 $$ in balanced accuracy metric. For NBD-UFES dataset, the ViT architecture with SingleDS Poincaré Conv–Concat using MetaBlock fusion (0.8472±0.0172$$ 0.8472pm 0.0172 $$) obtained the best mean among all the results evaluated. The results indicate the feasibility of the proposed approach. The source code is public available at GitHub at https://github.com/lmlima/Hyperbolic-space-feature-enhancement-and-interaction-mechanism-for-classification.

癌症是世界范围内死亡的主要原因之一,疾病的早期诊断是降低死亡率或延长寿命的最重要因素之一。传统上,医疗保健专家使用各种信息来源来确定诊断,通常包括某种形式的成像以及临床和人口统计数据。在这项工作中,我们提出了一种利用深度学习模型改进小数据集中医学图像和多领域互补数据融合的分类方法。为了实现这一目标,我们引入了一种利用poincar变换增强双曲空间特征的新型互补数据提取块和一种多场特征交互机制。我们使用皮肤癌(pad - upes -20)和口腔癌(ndb - ues)的诊断数据集对其进行评估。实验结果表明,该模型在pad - upes -20数据集上的性能比基线有统计学上的显著提高。采用PiT图像骨干的单张poincar卷积concat与MetaBlock融合模型在平衡精度指标上的性能为0.8270±0.0114 $$ 0.8270pm 0.0114 $$。对于nbd - ues数据集,使用MetaBlock融合的SingleDS poincar convo - concat的ViT架构(0.8472±0.0172 $$ 0.8472pm 0.0172 $$)在所有评估结果中获得了最好的平均值。结果表明了该方法的可行性。源代码在GitHub上是公开的https://github.com/lmlima/Hyperbolic-space-feature-enhancement-and-interaction-mechanism-for-classification。
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引用次数: 0
RETRACTION: 6G-enabled internet of medical things 撤回:支持6g的医疗物联网
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70121

RETRACTION: S.S. Dhanda, B. Singh, P. Jindal, T. K. Sharma, D. Panwar, “ 6G-enabled internet of medical things”, Expert Systems no. 41, Issue 1 (2024): e13472. https://doi.org/10.1111/exsy.13472.

The above article, published online on 18 October 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley & Sons Ltd. The retraction has been agreed as the conclusions do not appear to be supported by the research data. Further investigation raised concerns regarding the manipulation of the peer review process. The authors have been informed of the retraction.

撤稿:S.S. Dhanda, B. Singh, P. Jindal, T. K. Sharma, D. Panwar,“支持6g的医疗物联网”,专家系统,no。41,第1期(2024):e13472。https://doi.org/10.1111/exsy.13472。上述文章于2023年10月18日在Wiley在线图书馆(wileyonlinelibrary.com)上发表,经期刊主编David Camacho和John Wiley &; Sons Ltd.协议撤回。由于结论似乎没有得到研究数据的支持,因此已同意撤回。进一步的调查引发了对同行评议过程被操纵的担忧。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Trajectory clustering and query processing analysis framework for knowledge discovery in cloud environment 面向云环境下知识发现的轨迹聚类和查询处理分析框架
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70115

RETRACTION: S.S.L. P. J. Shabu, K. Yadav, E. Kariri, K. K. Gola, M. AnulHaq, A. Kumar, “ Trajectory clustering and query processing analysis framework for knowledge discovery in cloud environment”, Expert Systems no. 40, Issue 4 (2023): e12968. https://doi.org/10.1111/exsy.12968.

The above article, published online on 1 March 2022 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley & Sons Ltd. The retraction has been agreed after several flaws and inconsistencies between results presented and experimental methods described were found. The conclusions of this article are considered invalid. Further investigation raised concerns regarding the manipulation of the peer review process. The authors have been informed of the retraction.

引用本文:S.S.L. p.j. Shabu, K. Yadav, E. Kariri, K. K. Gola, M. AnulHaq, A. Kumar,“云环境下知识发现的轨迹聚类和查询处理分析框架”,《专家系统》第1期。40,第4期(2023):e12968。https://doi.org/10.1111/exsy.12968。上述文章于2022年3月1日在Wiley在线图书馆(wileyonlinelibrary.com)上发表,经期刊主编David Camacho和John Wiley & & Sons Ltd.协议撤回。在发现结果与实验方法之间存在一些缺陷和不一致后,同意撤回论文。本文的结论被认为是无效的。进一步的调查引发了对同行评议过程被操纵的担忧。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Node localization and data aggregation scheme using cuckoo search and neural network 基于布谷鸟搜索和神经网络的节点定位和数据聚合方案
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70116

RETRACTION: S. Kaur, N. Kaur, K. S. Bhatia, M. A. R. Khan, M. Gupta, N. K. Sharma, S. K. Sharma, “ Node localization and data aggregation scheme using cuckoo search and neural network”, Expert Systems no. 40, Issue 4 (2022): e13033. https://doi.org/10.1111/exsy.13033.

The above article, published online on 22nd July 2022 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor in Chief David Camacho and John Wiley and Sons Ltd. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.

撤稿:S. Kaur, N. Kaur, K. S. Bhatia, M. A. R. Khan, M. Gupta, N. K. Sharma, S. K. Sharma,“基于布谷鸟搜索和神经网络的节点定位和数据聚合方案”,《专家系统》第1期。40,第4期(2022):e13033。https://doi.org/10.1111/exsy.13033。上述文章于2022年7月22日发表在威利在线图书馆(wileyonlinelibrary.com)上,经主编大卫·卡马乔和约翰·威利父子有限公司协议撤回。这篇文章是作为嘉宾编辑的一期杂志的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Optimizing time delay in cloud using enhanced multi-hold inherited maximization algorithm to reduce cost and improve bandwidth 摘要:利用增强型多保持继承最大化算法优化云中的时延,降低成本,提高带宽
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70118

RETRACTION: D. S. M. Kumar, P. Sriramya, “ Optimizing time delay in cloud using enhanced multi-hold inherited maximization algorithm to reduce cost and improve bandwidth”, Expert Systems no. 40, Issue 4 (2022): e13073. https://doi.org/10.1111/exsy.13073.

The above article, published online on 23rd June 2022 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor in Chief David Camacho and John Wiley and Sons Ltd. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors do not agree with the retraction.

引用本文:D. S. M. Kumar, P. Sriramya,“利用增强的多保持继承最大化算法优化云中的时间延迟,降低成本和提高带宽”,《专家系统》第1期。40,第4期(2022):e13073。https://doi.org/10.1111/exsy.13073。上述文章于2022年6月23日发表在威利在线图书馆(wileyonlinelibrary.com)上,经主编大卫·卡马乔和约翰·威利父子有限公司协议撤回。这篇文章是作为嘉宾编辑的一期杂志的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者不同意撤稿。
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引用次数: 0
RETRACTION: Deep reinforcement learning-based precise prediction model for Smart M-Health system 基于深度强化学习的智能移动医疗系统精确预测模型
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70122

RETRACTION: D. J. Jagannath, R. J. Dolly, J. D. Peter, “ Deep reinforcement learning-based precise prediction model for Smart M-Health system”, Expert Systems (Early View): https://doi.org/10.1111/exsy.13450.

The above article, published online on 8 September 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley & Sons Ltd. The retraction has been agreed as the research is not reproducible based on the information provided. The origin of the patients’ data investigated in the study is also not explained. The authors have been informed of the retraction.

撤回:D. J. Jagannath, R. J. Dolly, J. D. Peter,“基于深度强化学习的智能移动医疗系统精确预测模型”,专家系统(早期视图):https://doi.org/10.1111/exsy.13450.The以上文章,于2023年9月8日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经期刊主编David Camacho和John Wiley & & Sons Ltd.同意撤回。由于根据所提供的信息,该研究不可重复,因此已同意撤回。研究中调查的患者数据的来源也没有解释。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre 回顾:在云数据中心使用DVFS提高能源效率的频率感知任务调度
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70119

RETRACTION: Samual, J., M. Hussin, N. A. W. A. Hamid, and A. Abdullah. 2025. “ Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre”, Expert Systems 41, no. 1: e13276. https://doi.org/10.1111/exsy.13276.

The above article, published online on 26 April 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley & Sons Ltd. The retraction has been agreed after several flaws and inconsistencies between results presented and experimental methods described were found. Concerns about conceptual flaws in the study design and reproducibility of the research were also identified. Further investigation raised concerns regarding the manipulation of the peer review process. The conclusions of this article are considered invalid. The authors have been informed of the retraction.

撤稿:塞缪尔,J., M.侯赛因,n.a.w.a.哈米德和A.阿卜杜拉。2025。“使用DVFS实现云数据中心能效的频率感知任务调度”,《专家系统》第41期。1: e13276。https://doi.org/10.1111/exsy.13276。上述文章于2023年4月26日在Wiley在线图书馆(wileyonlinelibrary.com)上发表,经期刊主编David Camacho和John Wiley &; Sons Ltd.协议撤回。在发现结果与实验方法之间存在一些缺陷和不一致后,同意撤回论文。对研究设计的概念缺陷和研究的可重复性的关注也被确定。进一步的调查引发了对同行评议过程被操纵的担忧。本文的结论被认为是无效的。作者已被告知撤稿。
{"title":"RETRACTION: Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre","authors":"","doi":"10.1111/exsy.70119","DOIUrl":"https://doi.org/10.1111/exsy.70119","url":null,"abstract":"<p>\u0000 <b>RETRACTION:</b> <span>Samual, J.</span>, <span>M. Hussin</span>, <span>N. A. W. A. Hamid</span>, and <span>A. Abdullah</span>. <span>2025</span>. “ <span>Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre</span>”, <i>Expert Systems</i> <span>41</span>, no. <span>1</span>: <span>e13276</span>. https://doi.org/10.1111/exsy.13276.\u0000 </p><p>The above article, published online on 26 April 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley &amp; Sons Ltd. The retraction has been agreed after several flaws and inconsistencies between results presented and experimental methods described were found. Concerns about conceptual flaws in the study design and reproducibility of the research were also identified. Further investigation raised concerns regarding the manipulation of the peer review process. The conclusions of this article are considered invalid. The authors have been informed of the retraction.</p>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 10","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.70119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934955","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
RETRACTION: Hindi podcast genre prediction using support vector classifier 撤回:印地语播客类型预测使用支持向量分类器
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70117

RETRACTION: M. Jain, M. Mahrishi, G. Sharma, S. Hosseini, “ Hindi podcast genre prediction using support vector classifier”, Expert Systems (Early View): https://doi.org/10.1111/exsy.13391.

The above article, published online on 27 June 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley & Sons Ltd. The retraction has been agreed after several flaws and inconsistencies between results presented and experimental methods described were found. The study design also appears to be flawed. The conclusions of this article are considered invalid. The authors do not agree with the retraction.

撤稿:M. Jain, M. Mahrishi, G. Sharma, S. Hosseini,“基于支持向量分类器的印地语播客类型预测”,专家系统(早期视图):https://doi.org/10.1111/exsy.13391。上述文章于2023年6月27日在Wiley在线图书馆(wileyonlinelibrary.com)上发表,经期刊主编David Camacho和John Wiley &; Sons Ltd.协议撤回。在发现结果与实验方法之间存在一些缺陷和不一致后,同意撤回论文。研究设计似乎也存在缺陷。本文的结论被认为是无效的。作者不同意撤稿。
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引用次数: 0
RETRACTION: Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women 撤回:影响女性多囊卵巢综合征的身心健康因素的敏感性分析
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-03 DOI: 10.1111/exsy.70120

RETRACTION: S. Guha, A. Kodipalli, “ Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women”, Expert Systems (Early View): https://doi.org/10.1111/exsy.13413.

The above article, published online on 26 July 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley & Sons Ltd. The retraction has been agreed after several flaws and inconsistencies between results presented and experimental methods described were found. The study design also appears to be flawed. Accordingly, the editors consider the conclusions unreliable. The authors do not agree with the retraction.

撤稿:S. Guha, A. Kodipalli,“影响女性多囊卵巢综合征的身心健康因素敏感性分析”,Expert Systems (Early View): https://doi.org/10.1111/exsy.13413。上述文章于2023年7月26日在Wiley在线图书馆(wileyonlinelibrary.com)上发表,经期刊主编David Camacho和John Wiley &; Sons Ltd.协议撤回。在发现结果与实验方法之间存在一些缺陷和不一致后,同意撤回论文。研究设计似乎也存在缺陷。因此,编辑们认为这些结论不可靠。作者不同意撤稿。
{"title":"RETRACTION: Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women","authors":"","doi":"10.1111/exsy.70120","DOIUrl":"https://doi.org/10.1111/exsy.70120","url":null,"abstract":"<p>\u0000 <b>RETRACTION</b>: <span>S. Guha</span>, <span>A. Kodipalli</span>, “ <span>Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women</span>”, <i>Expert Systems</i> (Early View): https://doi.org/10.1111/exsy.13413.\u0000 </p><p>The above article, published online on 26 July 2023 on Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho and John Wiley &amp; Sons Ltd. The retraction has been agreed after several flaws and inconsistencies between results presented and experimental methods described were found. The study design also appears to be flawed. Accordingly, the editors consider the conclusions unreliable. The authors do not agree with the retraction.</p>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 10","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.70120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934956","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
Towards Incremental Learning in Large Language Models: A Critical Review 大型语言模型的渐进式学习:综述
IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2025-09-02 DOI: 10.1111/exsy.70127
Mladjan Jovanovic, Peter Voss

Incremental learning is the ability of systems to acquire knowledge over time, enabling their adaptation and generalisation to novel tasks. It is a critical ability for intelligent, real-world systems, especially when data changes frequently or is limited. This review provides a comprehensive analysis of incremental learning in large language models. It synthesises the state-of-the-art incremental learning paradigms, including continual learning, meta-learning, parameter-efficient learning and mixture-of-experts learning. We demonstrate their utility for incremental learning by describing specific achievements from these related topics and their critical factors. An important finding is that many of these approaches do not update the core model, and none of them update incrementally in real time. The paper highlights current problems and challenges for future research in the field. By consolidating the latest relevant research developments, this review offers a comprehensive understanding of incremental learning and its implications for designing and developing LLM-based learning systems.

增量学习是系统随着时间的推移获取知识的能力,使其能够适应和概括新任务。对于智能的、真实世界的系统来说,这是一项至关重要的能力,尤其是在数据频繁变化或有限的情况下。这篇综述对大型语言模型中的增量学习进行了全面分析。它综合了最先进的增量学习范式,包括持续学习、元学习、参数有效学习和专家混合学习。我们通过描述这些相关主题的具体成就及其关键因素来展示它们对增量学习的效用。一个重要的发现是,这些方法中的许多都没有更新核心模型,而且没有一个是实时增量更新的。本文重点介绍了该领域目前存在的问题和未来研究面临的挑战。通过整合最新的相关研究进展,本综述提供了对增量学习的全面理解及其对设计和开发基于法学硕士的学习系统的影响。
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引用次数: 0
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Expert Systems
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