Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations
Rama Kassoumeh, David Rügamer, Henning Oppel
机构
*
Bochum Institute of Technology(波恩技术学院)
;
LMU Munich(慕尼黑大学)
;
Munich Center for Machine Learning(慕尼黑机器学习中心)
;
Okeanos Smart Data Solutions GmbH(Okeanos智能数据解决方案有限公司)
Cross-Modal Temporal Fusion for Financial Market Forecasting
Yunhua Pei, John Cartlidge, Anandadeep Mandal, Daniel Gold, Enrique Marcilio, Riccardo Mazzon
机构
*
School of Computer Science, University of Bristol, Bristol, UK(布里斯托大学计算机科学学院)
;
School of Engineering Mathematics and Technology, University of Bristol, Bristol, UK(布里斯托大学工程数学与技术学院)
;
School of Engineering Mathematics(工程数学学院)
;
Technology, University of Bristol, Bristol, UK(技术学院)
;
Business School, University of Birmingham, Birmingham, UK(伯明翰大学商学院)
;
Stratiphy Limited, London, UK(Stratiphy公司)
专题命中
视频多模态
:cross-modal(title,abstract)
Comments10 pages, 4 figures, manuscript accepted to PAIS at ECAI-2025 European Conference on Artificial Intelligence, October 25-30, 2025, Bologna, Italy
Journal refFrontiers in Artificial Intelligence and Applications, vol. 413, ECAI 2025, pp. 5360 - 5367
Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach
Jiahui An, Sara Irina Fabrikant, Giacomo Indiveri, Elisa Donati
机构
*
Institute of Neuroinformatics, University of Zurich(神经信息学研究所,苏黎世大学)
;
ETH Zurich(苏黎世联邦理工学院)
;
Digital Society Initiative, University of Zurich(数字社会倡议,苏黎世大学)
;
Department of Geography(地理系)
Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions
Pau Marquez Julbe, Julian Nubert, Henrik Hose, Sebastian Trimpe, Katherine J. Kuchenbecker
机构
*
Max Planck ETH CLS(马克斯·普朗克-ETH CLS)
;
German Research Foundation(德国研究基金会)
;
Max Planck Institute for Intelligent Systems(马克斯·普朗克智能系统研究所)
;
ETH Zürich(苏黎世联邦理工学院)
;
Institute for Data Science in Mechanical Engineering (DSME)(机械工程数据科学研究所)
;
RWTH Aachen University(亚琛工业大学)
Multi-modal Adaptive Estimation for Temporal Respiratory Disease Outbreak
Hong Liu, Kerui Cen, Yanxing Chen, Zige Liu, Dong Chen, Zifeng Yang, Chitin Hon
机构
*
Respiratory Disease AI Laboratory in Epidemic Intelligence and Applications of Medical Big Data Instruments, Macau University of Science and Technology(呼吸疾病人工智能实验室(流行病智能与医学大数据应用))
;
Faculty of Innovation Engineering, Macau University of Science and Technology(创新工程学院)
;
Institute of Systems Engineering, Macau University of Science and Technology(系统工程研究所)
;
School of Business, Macau University of Science and Technology(商学院)
;
State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University(呼吸疾病国家重点实验室、呼吸疾病临床研究中心、广州呼吸健康研究院、广州医学院第一附属医院)
;
Guangzhou National Laboratory(广州国家实验室)
COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity Monitoring
Zhengyang Shen, Bo Gao, Mayue Shi
机构
*
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK(帝国理工学院电子与电气工程系)
;
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK(牛津大学生物医学工程研究所)
专题命中
视频多模态
:multimodal(title,abstract)
Comments19 pages, 4 figures. *Correspondence: m.shi16@imperial.ac.uk. Accepted by the IUPESM World Congress on Medical Physics and Biomedical Engineering 2025
MultiPark: Multimodal Parking Transformer with Next-Segment Prediction
Han Zheng, Zikang Zhou, Guli Zhang, Zhepei Wang, Kaixuan Wang, Peiliang Li, Shaojie Shen, Ming Yang, Tong Qin
机构
*
Shanghai Jiao Tong University(上海交通大学)
;
Zhuoyu Technology, Co., Ltd.(珠海宇科技有限公司)
;
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology(香港理工大学电子与计算机工程系)
机构
*
College of Cyber Security(网络安全学院)
;
Jinan University(济南大学)
;
Department of Electrical and Electronic Engineering(电子与电气工程系)
;
Xi’an Jiaotong-Liverpool University(西安交通大学利物浦大学)
专题命中
视频多模态
:cross-modal(title,abstract)
CommentsSubmitted to the 2025 IEEE International Conference on Data Mining (ICDM)