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MLMI 2024: Osaka, Japan
- Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), Osaka, Japan, August 2-4, 2024. ACM 2024, ISBN 979-8-4007-1783-3
- Kévin Cédric Guyard, Michel Deriaz:
Predicting Foreign Exchange EUR/USD Direction Using Machine Learning. 1-9 - Kaboon Thongtha, Nopparat Pochai:
An k-Nearest Neighbors Machine Learning Algorithm for the PM2.5 Early Warning System in Bang Khun Tian, Bangkok, Thailand. 10-14 - Fanindia Purnamasari, Umaya Ramadhani Putri Nasution, Marischa Elveny, Hayatunnufus Hayatunnufus:
Customer Clusterization using Machine Learning Approach. 15-19 - Kemi Akanbi, Odunayo Gabriel Adepoju, Isaac Kofi Nti:
Developing A System for Automatic Prediction of Polycystic Ovary Syndrome Using Machine Learning. 20-26 - Nicholas Li Jian Chandra, Zhiyuan Chen, Chung Lim Law:
Smart Drying with Machine Learning Methods. 27-33 - Liang Zhang, Rujie Yu, Yifeng Lin, Yuer Yang:
A More Precise Credit Score Computation Method Based on Big Data and Machine Learning. 34-38 - Fatima-Zahrae El-Qoraychy, Mahjoub Dridi, Jean-Charles Créput:
Deep Reinforcement Learning for Vehicle Intersection Management in High-Dimensional Action Spaces. 39-45 - Süleyman Emir Akin, Toygar Akgun:
Applying the Forward-Forward Algorithm to Event-Based Sensing. 46-51 - Ho-Yu Wang, Mu-Hong Tsai, Ching-Jen Lin, Po-Lin Chen, Po-Fan Chen, Wei-Guang Teng:
Predicting Inpatient Deterioration in General Wards Using LSTM. 52-58 - Qingxin Ye, Zhenming Xie, Hao Sun, Luyao Xin, Youwen Chen, Jian Song, Yen-Wei Chen:
Enhancing Deep Learning-based Depression Level Estimation Based on Multi-task Learning. 59-65 - Jingming Gong, Chengyuan Shen, Jianting Cao:
Classifying Consciousness States with Support Vector Machine. 66-71 - Anandhini Medianty Nababan, Fanindia Purnamasari, Marischa Elveny, Chatarina Fransiska, Niskarto Zendrato, Umaya Ramadhani Putri Nasution, Romi Fadillah Rahmat:
Logistic Regression for Merchant Customer Churn Prediction: A Data-Driven Approach. 72-77 - Dongkun Han, Sen Shen:
Deep Reinforcement Learning for Autonomous Driving with Multi-Scenario Fusion: A Unified Reward Function Approach. 78-84 - Zhuqing Zhao, Halah Shehada, Dong Ha, Barbara Roqueto dos Reis, Robin White, Sook Shin Ha:
Machine Learning-Driven Optimization of Livestock Management: Classification of Cattle Behaviors for Enhanced Monitoring Efficiency. 85-91 - Xianru Zhang, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data. 92-96 - Zhen Zhang, Samuel Abraham, Alex Lee, Yichen Li, Gota Morota, Dong Sam Ha, Sook Shin Ha:
SegIt: Empowering Sensor Data Labeling with Enhanced Efficiency and Security. 97-103 - Walisa Romsaiyud, Piyaporn Nurarak, Tejtasin Phiasai, Montri Chadakaew, Noppawan Chuenarom, Pattamanun Aksorn, Amnart Thammakij:
Predictive Modeling of Student Dropout Using Intuitionistic Fuzzy Sets and XGBoost in Open University. 104-110 - Marischa Elveny, Mahyuddin K. M. Nasution, Fanindia Purnamasari, Tengku Siti Meriam Tengku Wook:
Channel Estimation Model and Their Role in Optimizing Customer Lifetime Value with Robust Optimization. 111-117 - Umaya Ramadhani Putri Nasution, Muhammad Anggia Muchtar, Fanindia Purnamasari, Hayatunnufus Hayatunnufus:
Comparison of CURE Algorithms Before and After Attribute Deletion Using Forward Selection Method. 118-122 - Chongwei Huang, Jian Hou:
Real-world Data Clustering Based on Dominant Set and Nearest Neighbors. 123-127 - Jinran Zhang, Zhelu Mai, Zhuoer Xu, Zhaomin Xiao:
Is LLaMA 3 Good at Identifying Emotion? A Comprehensive Study. 128-132 - Leila Mozaffari, Jianhua Zhang:
Predicting Stock Prices: Strategies of Ensemble Learning with Transformer, ARIMA, and Linear Regression Models. 133-140 - Zhelu Mai, Jinran Zhang, Zhuoer Xu, Zhaomin Xiao:
Is LLaMA 3 Good at Sarcasm Detection? A Comprehensive Study. 141-145 - Ao Xiang, Bingjie Huang, Xinyu Guo, Haowei Yang, Tianyao Zheng:
A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model. 146-150 - Shuqin Li, Xueli Jia, Yadong Zhou, Dong Xu, Haiping Zhang, Miao Hu:
Entropy-Guided Exploration in AlphaZero: Enhancing MCTS with Information Gain for Strategic Decision Making. 151-156 - Thongthai Saksopit, Amnach Khawne:
Improving Water Salinity Forecasting in Bang Pakong River with Attention Mechanism. 157-162 - Narae Choi, Do-Hyung Park:
Understanding Emotional and Cognitive Dynamics in Older Adults Using Personalized Care Robots. 163-170 - Zhelu Mai, Jinran Zhang, Zhuoer Xu, Zhaomin Xiao:
Financial Sentiment Analysis Meets LLaMA 3: A Comprehensive Analysis. 171-175 - Mary Christine Tomas, Christian Ray Baje, Maria Isabella Angela Miguel, Nikki Esmeralda Rojas:
Sleepy Driver Detector using Facial Recognition with OpenCV. 176-183 - Xiang Chen, Shuang Hou, Jianjun Li, Leru Wang:
Research on Intelligent Recognition and Detection Technology for Power Transmission Lines Using Drone Imagery. 184-191 - John Paul Quilingking Tomas, Mary Angeline Arcaya, Mark Francis Perez, Mark Benedict Quinto:
Traffic Light Image Recognition for Detecting Violations Using Yolov5 Object Detection and Faster R-CNN. 192-197 - Zheng Zhao, Guohua Gao, Zihan Zhang, Houhua Huang, Hongpeng Liu:
An Individual Identification Method for Cetaceans Based on EfficientNet. 198-203 - Zheng-Ming Gao, Qiqi Zhou, Juan Zhao, Xiaoyu Wang:
Image recognition of insect pests in Jingmen with YOLOv10. 204-208 - Maoyu Mao, Zhuoyi Shen, Pengfei Fan:
Improved Diffusion Model for Fast Image Generation. 209-216 - Zhaocan Yang, Shuang Liang, Yu Gu:
A Hybrid Foreground Modeling Network for Multiple Fundus Lesion Segmentation Under Class Imbalance. 217-224 - Zhuoyi Shen, Maoyu Mao, Pengfei Fan:
A Primary Comparison of Diffusion Models and Generative Adversarial Networks for Image Synthesis. 225-234 - Alireza Javadi, Amir Hossein Foruzan, Yen-Wei Chen:
Accurate Delineation of Multiple CT Liver Lesions by Deep Processing of Image Patches. 235-239 - Prince Daniel M. Pelisco, Divina R. Gonzales, Cris Edward Ferrer Monjardin, Kevin Lawrence M. De Jesus:
Neural Network - Particle Swarm Optimization and Akaike Information Criterion in Construction: Assessment of Delay Factors in Operation and Implementation of Projects. 240-246 - Saima Ahmed Rahin, Bo Hui, Wanwan Li:
Visualizing and Analyzing Human Activity Patterns through Graph-Based Methods. 247-259 - Yang Xing, Peixi Liao, Reem AwdhE Alasleh, Vissuta Khampatee, Farshid Alizadeh-Shabdiz:
X-ray segmentation and implant design using panoramic and tangential views. 260-265 - Kristsana Seepanomwan:
Classification of Rice Leaf Diseases Across Distinct Datasets using CNNs and CycleGAN. 266-273 - John Paul Q. Tomas, Mary Christine Tomas, Clint Audrey Dela Cruz, Eonn Gyle Milo Domingo, Mia Enciso, Darla Ionica Zoleta, Bonifacio Tobias Doma Jr.:
LLI Enhancement-Based Evaluation of E-Trike Detection on Roadways Using YOLOv7. 274-280 - Fulong Yao, Xi Chen, Yufan Jiang, Wenlong Jia:
DSS-YOLOv7: An Enhanced YOLOv7-Based Algorithm for Classroom Behavior Detection. 281-289 - John Paul Q. Tomas, Jimuel Cacayan, Jeremy Francisco, Paul Miguel Reonal, Angela Tamara:
Enhanced Aquaculture Monitoring: Real-time Fish Detection Underwater with YOLOv7. 290-294
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