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检索条件"任意字段=2019 International Conference on Applied Machine Learning and Data Science, ICAMLDS 2019"
11127 条 记 录,以下是31-40 订阅
排序:
SwinMixer Detector: A Two-Level Traffic Flow Detection System Based on Swin Transformer and MLP-Mixer  24th
SwinMixer Detector: A Two-Level Traffic Flow Detection Syste...
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24th international conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
作者: Lu, Lu Fang, Menghao Li, Xia Li, Minghui Lei, Tianwei Kong, Zixiao School of Cyber Science and Engineering University of International Relations Beijing100091 China Institute of Disaster and Emergency Medicine Tianjin University Tianjin300072 China Marine Engineering of College Dalian Maritime University Dalian116026 China School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China
This paper explores the problem of boundary data classification ambiguity that arises when machine learning techniques are applied in the field of intrusion detection. The features and attributes of the boundary data ... 详细信息
来源: 评论
Evaluation of Efficient and Performance-Retaining cVEP-BCI Class Augmentation  13
Evaluation of Efficient and Performance-Retaining cVEP-BCI C...
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13th international Winter conference on Brain-Computer Interface, BCI 2025
作者: Fodor, Milán András Cantürk, Atilla Le, Thi-Phuong-Ngan Heisenberg, Gernot Volosyak, Ivan Faculty of Technology and Bionics Rhine-Waal University of Applied Sciences Kleve47533 Germany Institute of Information Science Technical University of Applied Sciences Cologne Cologne50678 Germany
Brain–computer interfaces (BCIs) enable direct communication between the brain and external devices. BCI spellers are one of their most significant applications, allowing users to operate a keyboard with their brain.... 详细信息
来源: 评论
EEG-based Multimodal Representation learning for Emotion Recognition  13
EEG-based Multimodal Representation Learning for Emotion Rec...
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13th international Winter conference on Brain-Computer Interface, BCI 2025
作者: Yin, Kang Shin, Hye-Bin Li, Dan Lee, Seong-Whan Dept. of Artificial Intelligence Korea University Seoul Korea Republic of Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Republic of
Multimodal learning has been a popular area of research, yet integrating electroencephalogram (EEG) data poses unique challenges due to its inherent variability and limited availability. In this paper, we introduce a ... 详细信息
来源: 评论
Application of Deep learning for Wildfire Risk Management: Preliminary Results  4th
Application of Deep Learning for Wildfire Risk Management:...
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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023
作者: De Rango, Alessio D’Ambrosio, Donato Mendicino, Giuseppe Department of Environmental Engineering University of Calabria Ponte Pietro Bucci Rende87036 Italy Department of Mathematics and Computer Science University of Calabria Ponte Pietro Bucci Rende87036 Italy
Due to ongoing climate change and the related increased risk of drought, wildfires in the Mediterranean are expected to become more frequent and intense. This note introduces the use of Deep learning to produce suscep... 详细信息
来源: 评论
Themes, Knowledge Evolution, and Emerging Trends Related to the Application of Artificial Intelligence in Personalized learning: A Scientometric Analysis in CiteSpace  14
Themes, Knowledge Evolution, and Emerging Trends Related to ...
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14th international conference on Educational and Information Technology, ICEIT 2025
作者: Qin, Qinggui Wang, Jiaming Zhang, Shuhan Macao Polytechnic University Faculty of Applied Sciences China GXNU School of Design Guangxi Normal University Guilin China
Artificial intelligence (AI) plays a pivotal role in the development and growth of personalized learning. Therefore, it is necessary to conduct scientific and in-depth research on the application of AI in this field, ... 详细信息
来源: 评论
Comparative Study Using Ensemble Methods and Sampling Techniques for Imbalanced Diabetes data  4th
Comparative Study Using Ensemble Methods and Sampling Techni...
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4th international conference on Intelligent Systems and Pattern Recognition-ISPR
作者: Khemisa, Hana Dendani, Nadjette Khedimi, Yasmine Amara, Nour Djihane Azizi, Nabiha Badji Mokhtar Univ Dept Comp Sci Annaba Algeria
In medical decision making, the efficacy of classification, a vital component of decision support systems, can be significantly compromised by imbalanced class distributions within training data. This discrepancy is e... 详细信息
来源: 评论
dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model  13
Dataset Refinement for Improving the Generalization Ability ...
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13th international Winter conference on Brain-Computer Interface, BCI 2025
作者: Kim, Sung-Jin Lee, Dae-Hyeok Han, Hyeon-Taek Dept. of Artificial Intelligence Korea University Seoul Korea Republic of Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Republic of
Electroencephalography (EEG) is a generally used neuroimaging approach in brain-computer interfaces due to its non-invasive characteristics and convenience, making it an effective tool for understanding human intentio... 详细信息
来源: 评论
A Semi-automatic Pipeline for the Decay Mapping and the State of Conservation Assessment of Architectural Heritage Through Point Clouds
A Semi-automatic Pipeline for the Decay Mapping and the Stat...
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4th international conference on Advanced Research in Technologies Information Innovation and Sustainability-ARTIIS-Annual
作者: Lasorella, Margherita Cantatore, Elena Rondinelli, Maria Felicia Letizia Fatiguso, Fabio Politecn Bari Via Edoardo Orabona 4 I-70125 Bari Italy Univ Basilicata Via Ateneo Lucano 10 I-85100 Potenza Italy
The integration of automation and artificial intelligence has revolutionized the documentation, conservation, and restoration of architectural cultural heritage. This research presents a pipeline leveraging machine Le... 详细信息
来源: 评论
Nearest Neighbors Counterfactuals  10th
Nearest Neighbors Counterfactuals
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10th international conference on machine learning, Optimization, and data science, LOD 2024
作者: Magagnini, Marica Carrizosa, Emilio De Leone, Renato School of Science and Technology Università di Camerino Camerino62032 Italy Instituto de Matemáticas de la Universidad de Sevilla Seville41012 Spain
machine learning algorithms usually make decisions without providing any explanations on how they were reached. As a result, such models are not understood and trusted by the users. Counterfactuals are user-friendly e... 详细信息
来源: 评论
Virtual learning machine for Tiny Devices  20th
Virtual Learning Machine for Tiny Devices
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20th Principle and Practice of data and Knowledge Acquisition Workshop, PKAW 2024, held in conjunction with the 21st Pacific Rim international conference on Artificial Intelligence, PRICAI 2024
作者: Kitagawa, Nozomi Yamauchi, Koichiro Graduate school of Engineering Department of Computer Science Chubu University Kasugai Japan
Recent developments in artificial intelligence (AI) have increased the demand for high-performance computational devices. However, edge devices are highly restricted in terms of computational power and memory capacity... 详细信息
来源: 评论