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ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2025, PT I

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期刊论文 50
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Learning to Search with Subgoals学习子目标搜索
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deleteHyner, Petr; Mrogala, Jan; Krmaschek, Krystof; Hula, Jan
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Towards Speaker Independent Speech Emotion Recognition by Means of Dataset Aggregation通过数据集聚合实现面向说话人独立的语音情感识别
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deletePortal, Francisco; de Lope, Javier; Grana, Manuel
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Penetration Testing with AI: Case Studies on LLM and RL-Based Attack Agents基于AI的渗透测试：LLM和基于RL的攻击代理案例研究
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deleteFernandes, Rui; Lopes, Nuno; Teixeira, Paulo; Goncalves, Joaquim
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Leveraging Large Language Models on Assay Descriptions to Improve the Prediction of Inhibitors for Mycobacterium Tuberculosis利用大型语言模型对检测描述进行分析以改进结核分枝杆菌抑制剂的预测
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deleteAlves, Nuno; Osorio, Nuno S.; Pereira, Vitor; Rocha, Miguel
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Domain Adaptation of the Whisper ASR Model for Tourism Call Center Transcription in PolishWhisper ASR模型在波兰语旅游呼叫中心转录中的领域自适应
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deleteBollin, Maria; Meler, Wojciech; Piesiewicz, Jan; Rabalski, Lukasz
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Hybrid Dropout for Deep Ordinal Classification深度序数分类的混合Dropout方法
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deleteBerchez-Moreno, Francisco; Moreno-Cano, Francisco; Guijo-Rubio, David; Vargas, Victor M.; Gutierrez, Pedro A.; Hervas-Martinez, Cesar
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XAI for Univariate and Multivariate Time Series Forecasting. A Case Study on Electricity Consumption in Romania's National Electricity Network可解释人工智能在单变量和多变量时间序列预测中的应用：以罗马尼亚国家电网的电力消耗为例
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deleteDiaconu, Bogdan Marian; Popescu, Lumini. A. Georgeta
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Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators边缘AI优化：异构加速器间的神经网络分区
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deleteMika, Kevin; Kucza, Nils; Porrmann, Florian; Hagemeyer, Jens
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Hybrid AI Models for Structured Mobility Prediction in Metropolitan Areas城市地区结构化移动性预测的混合AI模型
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deleteBrasoveanu, Adrian M. P.; Nixon, Lyndon J. B.; Scharl, Arno
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Reinforcement Learning for Mapless Navigation: Enhancing Exploration with Image-Based Rewards无地图导航的强化学习：基于图像奖励的探索增强
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deleteKok, Vernon; Ezugwu, Absalom; Olusanya, Micheal
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Modeling Student-Subject Interactions with GNNs for Grade Prediction基于图神经网络的师生互动建模用于成绩预测
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deleteAhmed Ali, Ghaidaa; Avila-Jimenez, Jose Luis; Al-Twijri, Mohammed Ibrahim; Ventura, Sebastian
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Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability评估深度学习在时间序列中高层次和符号特征的可解释性：迈向更简单的解释
deleteADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2025, PT I
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deleteSchwenke, Leonid; Stueckemann, Till; Atzmueller, Martin
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Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering推进即将发生的断裂风险预测：集成机器学习与增强特征工程
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deleteMaghsoudimehrabani, Mohammad; Sykes, Edward R.
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Forecasting Non-stationary Time Series: A Comparison of Deep and Shallow Neural Network Architectures非平稳时间序列预测：深度与浅层神经网络架构的比较
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deleteMasunungure, Takudzwa; Engelbrecht, Andries
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Incremental Feature Learning of Shallow Feedforward Regression Neural Networks Using Particle Swarm Optimisation使用粒子群优化算法的浅层前馈回归神经网络增量特征学习
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deleteNayler, Ross W.; Engelbrecht, Andries P.
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Deep Learning or Trees? A Trade-off Analysis for Multivariate Time Series Forecasting深度学习还是树模型？多元时间序列预测的权衡分析
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deleteReina-Jimenez, Pablo; Martinez-Ballesteros, Maria; Riquelme, Jose C.
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Learning Heuristics for k-NANN-A*: A Deep Learning Approach学习k-NANN-A*算法的启发式方法：一种深度学习途径
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deleteAldao, E.; Fernandez-Pardo, L. M.; Veiga-Lopez, F.; Chanel, C. P. C.; Watanabe, Y.; Gonzalez-Jorge, H.
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Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification基于软标签和有序分类的膝关节骨关节炎严重程度分级
deleteADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2025, PT I
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delete2026-01-01
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deleteBerchez-Moreno, Francisco; Vargas, Victor M.; Gomez-Orellana, Antonio M.; Guijo-Rubio, David; Romeo, Luca; Conti, Edoardo; Gutierrez, Pedro A.; Hervas-Martinez, Cesar
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A Perceptron-Like Neural Network Implementing a Learning-Capable K-Nearest Neighbor Classifier基于感知器样式的神经网络实现具有学习能力的K近邻分类器
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deleteGoltsev, Alexander; Holtsev, Oleksii
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Decoding Brain Lobe Contributions in EEG for Automatic Detection of Obstructive Sleep Apnea基于脑叶贡献的EEG解码在阻塞性睡眠呼吸暂停自动检测中的应用
deleteADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2025, PT I
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delete2026-01-01
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deleteQuintuna, Jonathan; Changoluisa, Vinicio
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