Qualitative probabilistic networks have been introduced as qualitative abstractions of Bayesian belief networks. One of the major drawbacks of these qualitative networks is their coarse level of detail, which may lead to unresolved trade-offs during inference. We present an enhanced formalism for qualitative networks with a finer level of detail. An enhanced qualitative probabilistic network differs from a regular qualitative network in that it distinguishes between strong and weak influences. Enhanced qualitative probabilistic networks are purely qualitative in nature, as regular qualitative networks are, yet allow for efficiently resolving trade-offs during inference.
IVGAE-TAMA-BO: A novel temporal dynamic variational graph model for link prediction in global food trade networks with momentum structural memory and Bayesian optimization
School of Economics and Management, Zhejiang Sci-Tech University（浙江理工大学经济管理学院）
DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders
University of Tennessee, Knoxville（田纳西大学诺克斯维尔分校）；Oak Ridge National University, Knoxville（橡树岭国家实验室诺克斯维尔分部）；University of Georgia, Athens（佐治亚大学雅典分校）；Virginia Commonwealth University, Richmond（弗吉尼亚联邦大学里士满分校）
Macro: Enhancing Multilingual Counterfactual Explanations through Alignment-as-Preference Optimization
Technische Universität Berlin（柏林技术大学）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；University of Duisburg-Essen（杜伊斯堡- Essen大学）；LMU Munich（慕尼黑大学）；Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心）；Saarland Informatics Campus（萨尔兰州信息学校区）；BIFOLD – Berlin Institute for the Foundations of Learning and Data（柏林学习与数据基础研究院）；Centre for European Research in Trusted AI (CERTAIN)（可信人工智能欧洲研究中心）
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
Institute for Infocomm Research (I²R)（信息通信研究院）；Agency for Science, Technology and Research (A*STAR)（新加坡科技研究局）；Centre for Frontier AI Research (CFAR)（前沿人工智能研究中心）
Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes
Department of Computer Science \& Engineering, University of California, San Diego, La Jolla, California, USA；ARTISAN, Georgia Institute of Technology, Atlanta, Georgia, USA；Department of Medicine, University of California, San Diego, La Jolla, California, USA
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction
University of Guelph（圭尔夫大学）；CIFAR（加拿大高等研究院）；Vector Institute（向量研究所）；University of Waterloo（滑铁卢大学）；Waterloo AI Institute（滑铁卢人工智能研究所）
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
Department of Computer Science, Memorial University of Newfoundland（纪念大学计算机科学系）；Industrial Engineering Department, Dalhousie University（达尔豪斯大学工业工程系）；Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Institute of Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Department of Computer Science and Media Technology, Linnaeus University（林纳大学计算机科学与媒体技术系）
Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
Language Understanding Laboratory, Myanmar（缅甸语言理解实验室）；Department of Computer Engineering, KMITL, Bangkok, Thailand（泰国曼谷KMITL计算机工程系）；Language and Semantic Technology Research Team, NECTEC, Bangkok, Thailand（泰国曼谷NECTEC语言与语义技术研究团队）
