default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID2nd IWCM 2024: Singapore
- IEEE Conference on Artificial Intelligence, CAI 2024, Singapore, June 25-27, 2024. IEEE 2024, ISBN 979-8-3503-5409-6
- Yongfeng Shan
, Christy Jie Liang, Min Xu:
3D Reconstruction and Estimation from Single-view 2D Image by Deep Learning - A Survey. 1-7 - Shyam Varahagiri, Aryaman Sinha, Shiv Ram Dubey, Satish Kumar Singh:
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification. 8-14 - Liangbin Zhao, Xingrui Yu, Xiuju Fu:
A Comparative Study of Reinforcement Learning-based Collision Avoidance for Maritime Autonomous Surface Ships. 15-18 - Jaelen Dixon, Jiang Li:
A Division Based Neuron for Neural Networks. 19-20 - Jingyuan Xu, Jiajian Yang, Peiru Li, Ziming Wang, Changwu Huang, Xin Yao:
A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem. 21-28 - Zongqi Hu, Chai Kiat Yeo:
A Lightweight Neural Network with Transformer to Predict Credit Default. 29-30 - Ananda Phan Iman, Chang Wook Ahn:
A Model-Free Deep Reinforcement Learning Approach to Piano Fingering Generation. 31-37 - Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression. 38-43 - Michael Nieberl, Alexander Zeiser, Holger Timinger:
A Review of Data-Centric Artificial Intelligence (DCAI) and its Impact on manufacturing Industry: Challenges, Limitations, and Future Directions. 44-51 - Christophe Mbounang Fongang, Michael Vogelsang, Timm Eichenberg, Britta Rüschoff, Anne Stockem Novo:
A Semi-supervised Model for Automated Classification of AI-related Job Tasks using Bloom's Taxonomy. 52-58 - Dinh Nguyen, Siying Liu, Vicky Sintunata, Yue Wang, Jack Ho, Zhao Yong Lim, Ryan Lee, Karianto Leman:
A Spatiotemporal Excitation Classifier Head for Action Recognition Applications. 59-62 - Thashil Naidoo, Nelishia Pillay:
A Study of the Generalisability of CNNs for Disease Prediction. 63-68 - Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu:
A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation. 69-74 - Yoshiki Takagi, Roderick S. Tabalba, Nurit Kirshenbaum, Jason Leigh:
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning. 75-82 - Daniel Kai Xiang Fung, Di Wang, Hao Wang, Yongwei Wang, Pengcheng Wu, Yan Yee Hah, Chee Chew Yip, Wee Jin Heng, Tock Han Lim, Cyril Leung, Chunyan Miao:
Accurate and Explainable Cataract Detection Using Eye Images Taken by Hand-held Slit-lamp Cameras. 83-88 - Yufei Wen:
Active Semi-supervised Learning based on Global Uncertainty Variation with Noise Resistance. 89-95 - Rui Huang, Jieda Wei, Sihua Gao, Zongyu Guo, Yan Xing, Weifeng Xu, Qing Guo:
AdaAug: An Adaptive Data Augmentation Method for Change Detection. 96-101 - Changran Peng, Yi Yan, Ercan E. Kuruoglu:
Adaptive Graph Normalized Sign Algorithm. 102-103 - Zachary Tchir, Petr Musilek, Marek Z. Reformat:
Adaptive Home Energy Management: Human-Centric RL Approach for Diverse Situations. 104-110 - Dinh Thi Chinh Nguyet:
Adoption of Generative AI in content creation: A case study from the advertising industry. 111-112 - Joseph M. de Guia, Sai Datta, Jheanel Estrada, Zhigang Yu, Cheng Hun Oh, Bradly Lomotan, Gil Opina Jr., Anshuman Tripathi, Madhavi Deveraj:
Advancing Safety and Robustness: Perception-Planning System of an Autonomous Vehicle Last Mile Delivery. 113-118 - Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang:
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis. 119-124 - Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Adverse Weather Benchmark Dataset for LiDAR-based 3D Object Recognition and Segmentation in Autonomous Driving. 125-126 - Dylan Seychell, Gabriel Hili, Jonathan Attard, Konstantinos Makantatis:
AI as a Tool for Fair Journalism: Case Studies from Malta. 127-132 - Negar Maleki, Balaji Padmanabhan, Kaushik Dutta:
AI Hallucinations: A Misnomer Worth Clarifying. 133-138 - Hong Ping Yap, Wee Ling Ong, Jonathan Koh, Liu Haoran, Tiancheng Yang, Zihao Chen:
AI-based Approach to Efficient Information Extraction for Supply Chain Contracts. 139-143 - Vivian Kretzschmar, Jürgen Seitz:
AI-based Learning Assistants: Enhancing Math Learning for Migrant Students in German Schools. 144-149 - Dong Quan Vu, Sébastien Razakarivony, Solène Thépaut, Guillaume Doquet, Yosra Marnissi, Michel Nocture:
Aircraft Engines Performances Estimation from Multi-Point and Multi-Time Operational Data via Neural Networks. 150-157 - Man-Fai Wong, Chee-Wei Tan:
Aligning Crowd-sourced Human Feedback for Code Generation with Bayesian Inference. 158-163 - Thanh-Hoang Nguyen-Vo, Trang T. T. Do, Binh P. Nguyen:
An Effective Ensemble Deep Learning Framework for Blood-brain Barrier Permeability Prediction. 164-169 - Akanksha Singh, Vipul Arora, Yi-Ping Phoebe Chen:
An efficient TF-IDF based Query by Example Spoken Term Detection. 170-175 - Feilong Wu, Kejing Yin, William K. Cheung:
An End-to-end Learning Approach for Counterfactual Generation and Individual Treatment Effect Estimation. 176-182 - Rashed Iqbal, Christian H. Ritz, Jack Yang, Sarah K. Howard, Abigail Copiaco:
An Ensembled Convolutional Recurrent Neural Network approach for Automated Classroom Sound Classification. 183-188 - Kelvin Du, Frank Xing, Rui Mao, Erik Cambria:
An Evaluation of Reasoning Capabilities of Large Language Models in Financial Sentiment Analysis. 189-194 - Chengyu Zhou, Yaqing Hou, Wenqiang Ma, Hua Yu, Hongwei Ge:
An Evolutionary Algorithm with Variable-Length Chromosome for Multi-objective Minimalistic Attack. 195-199 - Nhu Khue Vuong, Sateesh Babu Giduthuri, Gen Liang Lim, Terrence Tan, Savitha Ramasamy:
Anomaly Detection and Breakdown Diagnosis for Condition Monitoring of Marine Engines. 200-205 - Lichao Yang, Jingxian Liu, Yukuan Wang:
Application of adaptive douglas-peucker with acceleration algorithm in ship trajectory compression. 206-209 - Mengting Chen, Cong Qi, Xuan Wu:
Applications of Artificial Intelligence in Oceanic Nuclear Contamination Management. 210-215 - Yuanzi Hong, Wei-Li Liu, Jinghui Zhong, Peng Liang, Jianhua Guo, Chunying Li:
Archive-based Cooperative Coevolution Genetic Programming for Workflow Scheduling. 216-219 - Ganeshkumar Pugalendhi, Prasannavenkatesan Theerthagiri, A. Usha Ruby:
ARIMA Time Series Modelling for Energy Forecasting in Wireless Sensor Networks. 220-225 - Jie Jun Wong, Glades Tan, Xinliu Zhong, Kay Woon Ho, Vincent Wei Jun Sim, Si Yong Yeo, Angela S. Koh:
Artificial Intelligence for Modeling Complex Treatment Decisions in Aortic Valve Intervention. 226-227 - Yuhang Zhang, Rangya Zhang, Qianlei Jia, Jiaping Xiao, Lu Bai, Mir Feroskhan:
Astro-Det: Resident Space Object Detection for Space Situational Awareness. 228-233 - Yajie Zhang, Zhi-An Huang, Jibin Wu, Kay Chen Tan:
Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis. 234-239 - Jian-An Chen, Che-Lun Hung, Chun-Ying Wu:
Attention-Based Deep Learning Models for Detecting Misinformation of Long-Term Effects of COVID-19. 240-245 - Saikat Mahmud, Kawshik Biswas, Api Alam, Rifat Al Mamun Rudro, Nusrat Jahan Anannya, Israt Jahan Mouri, Kamruddin Nur:
Automatic Multiple Choice Question Evaluation Using Tesseract OCR and YOLOv8. 246-252 - Manuel Hidalgo, Christian Muñoz:
Automatic radar waveform design Victor. 253-254 - Chao-Chung Peng, Meng-Huan Chiang, Yi-Ho Chen:
Autonomous Gain Tuning for Differential Drive Robots Targeting Control using Soft Actor-Critic. 255-260 - Mengen Luo, Ercan E. Kuruoglu:
Bayesian Neural Network for Personalized Federated Learning Parameter Selection. 261-262 - Rafael Barbarroxa, Bruno Ribeiro, Luis Gomes, Zita Vale:
Benchmarking AutoGen with different large language models. 263-264 - Lan Fu, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Yang Liu, Wei Feng, Song Wang:
Benchmarking Shadow Removal for Facial Landmark Detection. 265-271 - Yun Hui Lin, Ping Chong Chua, Xiaofeng Yin, Zizhe Wang, Ning Li, Zhe Xiao, Xiuju Fu, Zheng Qin:
Big data-driven booking consolidation and scheduling of launching service in Singapore Port. 272-277 - Eric Yu, Wang Yue, Shi Jianzheng, Wang Xun:
Blockchain-based AI Agent and Autonomous World Infrastructure. 278-283 - Jeremy H. M. Wong, Huayun Zhang, Nancy F. Chen:
Bounded Gaussian process with multiple outputs and ensemble combination. 284-289 - Xinghua Qu, Zhu Sun, Shanshan Feng, Caishun Chen, Tian Tian:
Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models. 290-291 - Alex To, Hoang Quoc Viet Pham, Quang H. Nguyen, Joseph G. Davis, Barry O'Sullivan, Shan L. Pan, Hoang D. Nguyen:
Carbon Stock Estimation at Scale from Aerial and Satellite Imagery. 292-299 - Yangqin Feng, Xinxing Xu, Huazhu Fu, Yan Wang, Zizhou Wang, Liangli Zhen, Rick Siow Mong Goh, Yong Liu:
Category-Aware Test-Time Training Domain Adaptation. 300-306 - Ai Leng Ng, Justina Ong:
ChatGPT vs Bard: Which is a Better Writer? 307-312 - Mohsen Nabian, Zahra Eftekhari, Chi Wah Wong:
CI-VAE: a Generative Deep Learning Model for Class-Specific Data Interpolation. 313-319 - Róbert Kanász, Peter Drotár, Peter Gnip, Martin Zoricak:
Clash of titans on imbalanced data: TabNet vs XGBoost. 320-325 - Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang:
ColdU: User Cold-start Recommendation with User-specific Modulation. 326-331 - Haibo Pen, Nicole Teo, Zhaoxia Wang:
Comparative Analysis of Hate Speech Detection: Traditional vs. Deep Learning Approaches. 332-337 - Brian Jaramillo-Leon, José Almeida, João P. Soares, Jônatas Boás Leite, Sergio Zambrano-Asanza, Zita A. Vale:
Comparison of Metaheuristic Algorithms for Photovoltaic Systems Allocation in a Power Distribution Feeder. 338-343 - Luca Barbieri, Stefano Savazzi, Monica Nicoli:
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT. 344-349 - Daniel Menges, Adil Rasheed:
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. 350-357 - Lennard Korte, Li Rong Wang, Xiuyi Fan:
Confidence Estimation in Analyzing Intravascular Optical Coherence Tomography Images with Deep Neural Networks. 358-364 - Aditya Malik, Nalini K. Ratha, Bharat Yalavarthi, Tilak Sharma, Arjun Ramesh Kaushik, Charanjit Jutla:
Confidential and Protected Disease Classifier using Fully Homomorphic Encryption. 365-370 - Ramaswami Mohandoss:
Context-based Semantic Caching for LLM Applications. 371-376 - Swarna Kamal Paul:
Continually Learning Planning Agent for Large Environments guided by LLMs. 377-382 - Abderrahim Fathan, Jahangir Alam:
Contrastive Information Maximization Clustering for Self-Supervised Speaker Recognition. 383-388 - Atitaya Phoemsuk, Vahid Abolghasemi:
Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network. 389-394 - Yangqin Feng, Xinxing Xu, Zizhou Wang, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Tien-En Tan, Mukharram M. Bikbov, Jost B. Jonas, Chee Wai Wong, Ching-Yu Cheng, Daniel Shu Wei Ting, Rick Siow Mong Goh, Yong Liu:
Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography. 395-401 - Sompote Youwai, Parchya Makam:
CTrPile: A Computer Vision and Transformer Approach for Pile Capacity Estimation from Dynamic Pile Load Test. 402-407 - Aishwarya Singh, Smitha K. G:
Cultivating Navigational Autonomy in the Visually Impaired: A Novel Approach with VirtualEYE. 408-413 - Ke Wang, Ong Qi Hao Tristan, Xiaocai Zhang, Xiuju Fu, Zheng Qin:
Data-centric AI practice in maritime: securing trusted data quality via a computer vision-based framework. 414-417 - Chanseok Kang, Guntae Bae, Daesung Kim, Kyoungwoo Lee, Dohyeon Son, Chul Lee, Jaeho Lee, Jinwoo Lee, Jae Woong Yun:
Data-Driven Reinforcement Learning for Optimal Motor Control in Washing Machines. 418-424 - Aisha Saeid, Diptesh Kanojia, Ferrante Neri:
Decoding Cyberbullying on Social Media: A Machine Learning Exploration. 425-428 - Ashton Xue Qun Pang, Jiaxing Jansen Lin, Chin Hee Ong, Yongquan Chen, Ga Xiang Chong, Siti Nuruljannah Baharudin, Yon Shin Teo, Kevin Seng Loong Oh:
Deep Learning Based Layout Recognition Approach for HMI Software Validation. 429-437 - Ali Talasaz:
Deep Learning for Tumor Localization with Depth Estimation: A Minimally Invasive Robotics-Assisted Approach. 438-443 - Ge Jin, Deyou Wang, Jian Cheng Wong, Shipeng Li:
Differentiable Hash Encoding for Physics-Informed Neural Networks. 444-447 - Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder:
DIRA: Dynamic Incremental Regularised Adaptation. 448-455 - Wei Zhou, Xiaolong Luo, Hongyue Bao, Zexuan Zhu:
Diversified Sequential Recommendation via Evolutionary Multi-Objective Transfer Optimization. 456-457 - Ryusei Ohtani, Yuko Sakurai, Satoshi Oyama:
Does Metacognitive Prompting Improve Causal Inference in Large Language Models? 458-459 - Claudia Camacho-Zuñiga:
Effective Generative AI Implementation in Developing Country Universities. 460-463 - Mehak Basharat, Muhammad Naeem, Asad Masood Khattak, Alagan Anpalagan:
Efficient Offloading in UAV-MEC IoT Networks: Leveraging Digital Twins and Energy Harvesting. 464-469 - Rabbani Nur Kumoro, Louis Widi Anandaputra, Richardus Ferdian Dita Nugraha, Wahyono Wahyono:
Efficient Wildfire Detection Framework Based on Artificial Intelligence Using Convolutional Neural Network and Multi-Color Filtering. 470-475 - Lee Peney, Raoul Dernee, Hani Alers:
Encouraging Trust in AI-Powered Teaching Tools: Ranking Design Principles. 476-479 - Xinliu Zhong, Kayhan Batmanghelich, Li Sun:
Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination. 480-485 - A. A. Gde Yogi Pramana, Muhammad Fazil Maulana, Melvin Cahyadi Tirtayasa, Dyah Aruming Tyas:
Enhancing Early Stunting Detection: A Novel Approach using Artificial Intelligence with an Integrated SMOTE Algorithm and Ensemble Learning Model. 486-493 - Rachel Yeo Hui Min, Aung Aung Phyo Wai:
Enhancing EEG-based emotion recognition using Semi-supervised Co-training Ensemble Learning. 494-499 - Dhruval Kenal Kothari, Owen Noel Newton Fernando:
Enhancing Human-Computer Interaction through AI: A Study on ChatGPT in Educational Environments. 500-503 - Chathura D. Kulathilake, Jeevani Udupihille, Atsushi Senoo:
Enhancing Ischemic Brain Stroke Detection on CT Images: A Investigation of Transfer Learning Techniques of DenseNet-201 for Neuroimaging Analysis. 504-509 - Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie:
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion. 510-517 - Vatsal Aggarwal, Arjun Ramesh Kaushik, Charanjit Jutla, Nalini K. Ratha:
Enhancing Privacy and Security of Autonomous UAV Navigation. 518-523 - Xingyang Liu, Ferrante Neri, Daniel Cyrus, Haina Rong, Gexiang Zhang:
Entropy-Weighted Simulated Annealing optimisation of Human-simulated Multi-mode PD-PI Control for Biped Robots. 524-529 - Grace Ataguba, Md Riyadh, Samuel Ariyo Okaiyeto, James Daniel, Hong-Wei Xiao, Rita Orji:
Ethical Practices for Collecting Ground-Truth Food Datasets: A Systematic Review. 530-536 - Nghi C. Tran, Bima Prihasto, Phuong Thi Le, Thao Tran, Chun-Shien Lu, Jia-Ching Wang:
EVA-ASCA: Enhancing Voice Anti-Spoofing through Attention-based Similarity Weights and Contrastive Negative Attractors. 537-540 - Emmanuella Budu, Amira Soliman, Thorsteinn S. Rögnvaldsson, Farzaneh Etminani:
Evaluating Temporal Fidelity in Synthetic Time-series Electronic Health Records. 541-548 - Binyan Hu, A. K. Qin:
Expert-Adaptive Medical Image Segmentation. 549-554 - Luís Valina, Brigida Teixeira, Arsénio Reis, Zita Vale, Tiago Pinto:
Explainable Artificial Intelligence for Deep Synthetic Data Generation Models. 555-556 - Benoît Gérin, Maxime Zanella, Maxence Wynen, Saïd Mahmoudi, Benoît Macq, Christophe De Vleeschouwer:
Exploring viability of Test-Time Training: Application to 3D segmentation in Multiple Sclerosis. 557-562 - Gerry Windiarto Mohamad Dunda, Shenghui Song:
Fairness-aware Federated Minimax Optimization with Convergence Guarantee. 563-568 - Melvin Wong, Jiao Liu, Ge Jin, Kunpeng Li, Doan Ngoc Chi Nam:
Fast Convergence PINNs Using Pseudo-Density Embedding: A study on Solid Mechanics. 569-572 - Yang Wen, Samuel Chen, Abhishek Krishna Shrestha:
Fast Vision Transformer via Additive Attention. 573-574 - Jeannie He, Ming Xiao, Mikael Skoglund:
Fast-Converging Decentralized ADMM for Consensus Optimization. 575-580 - Renuga Kanagavelu, Chris George Anil, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering. 581-586 - Cheng Chen, Yueming Lyu, Xingrui Yu, Jing Li, Ivor W. Tsang:
Fine-Grained Partial Label Learning. 587-596 - Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen:
Fine-Grained Visual Classification using Self Assessment Classifier. 597-602 - Peihong Guo, Pranav Tewari, Esther Li Wen Choo, Kelvin Bryan Tan, John Arputhan Abisheganaden, Borame Sue Dickens:
Forecasting infectious and parasitic disease emergency department attendances using high-dimensional time series data. 603-610 - Erland Hilman Fuadi, Aristo Renaldo Ruslim, Putu Wahyu Kusuma Wardhana, Novanto Yudistira:
Gated Self-supervised Learning for Improving Supervised Learning. 611-615 - Yongping Pan, Wei Li, Tian Shi:
Gaussian Process-Enhanced Impedance Iterative Learning for Robot Interaction Control. 616-619 - Zhi-Fan Tang, Liu-Yue Luo, Xin-Xin Xu, Jian-Yu Li, Jing Xu, Jing-Hui Zhong, Jun Zhang, Zhi-Hui Zhan:
Gene Targeting Particle Swarm Optimization for Large-Scale Optimization Problem. 620-625 - In-Gyu Lee, Jun-Young Oh, Hee-Jung Yu, Jae-Hwan Kim, Ki-Dong Eom, Ji-Hoon Jeong:
Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine. 626-631 - Intissar Haddiya, Andrea Pitrone:
Generative ΑΙ-based Cognitive Robot for exam candidates' knowledge self-assessment. 632-637 - Debanga Raj Neog, Pharvesh Salman Choudhary, Mayurdeep Pathak:
GlobeMetrics: A Healthcare Framework for Video Based Saccade Characterization. 638-643 - Genze Zhan, Xin Li, Yong Heng, Yan Zhang, Jiaojiao Wang, Peiyao Zhao, Meitao Mu, Xueying Zhu, Mingzhong Wang:
Gradient Recalibration for Improved Visibility of Tail Classes in Supervised Contrastive Learning. 644-649 - Dayu Qin, Ercan E. Kuruoglu:
Graph Learning Based Financial Market Crash Identification and Prediction. 650-651 - Meifeng Shi, Haitao Xin, Makoto Yokoo:
Group Correction-based Local Disturbance Particle Swarm Optimization algorithm for solving Continuous Distributed Constraint Optimization Problems. 652-658 - Kamal, Debanga Raj Neog, H. Pallab Jyoti Dutta, Manas Kamal Bhuyan:
Hand Function Assessment using Computer Vision for Hand Rehabilitation. 659-664 - Hakan T. Otal, Elyse Zavar, Sherri B. Binder, Alex Greer, Muhammed Abdullah Canbaz:
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping. 665-671 - Arnab Dey, Di Yang, Antitza Dantcheva, Jean Martinet:
HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields. 672-673 - Chen Shengkai, Wang Yu, Ramasamy Savitha, Cheryl Sze Yin Wong:
Hierarchical Optimization for Operationally-Constrained Resource Planning. 674-679 - Gaoxia Zhu, Vidya Sudarshan, Jason Fok Kow, Yew Soon Ong:
Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. 680-686 - Khushnood Adil Rafique, Nabeel Khaliq, Christoph Grimm:
HyMark: Application of Hybrid AI for Markdown Syntax Generation. 687-694 - Mingyuan Lei, Neha Priyadarshini Garg, Meenakshi Gupta, Tat-Jen Cham:
Imitating human joystick control ability using style and content disentanglement. 695-698 - Huizhou Chen, Jiangyi Wang, Yuxin Li, Na Zhao, Jun Cheng, Xulei Yang:
Improving 3D Occupancy Prediction through Class-Balancing Loss and Multi-Scale Representation. 699-703 - Li-Chiao Wang, Wei Liu, Chung-Shou Liao:
Incremental Random Forest for Unsupervised Learning. 704-705 - Viny Saajan Victor, Manuel Ettmüller, Andre Schmeißer, Heike Leitte, Simone Gramsch:
Informed Machine Learning for Optimizing Melt Spinning Processes. 706-713 - Wei-Che Chang, Tian-Shyr Dai, Ying-Ping Chen, Chin-Yi Hsieh, Yu-Wei Chang, Yu-Han Huang:
Integrating Local Learning to Improve Deep-Reinforcement-Learning-based Pairs Trading Strategies. 714-719 - Rahul Rao, Jyothi R:
Integrating Time Series Forecasting, NLP, and Financial Analysis for Optimal Investment Strategy: A Case Study on Adani Ports. 720-727 - Zeyu Cai, Zhelong Huang, Xu Zheng, Yexin Liu, Chao Liu, Zeyu Wang, Lin Wang:
Interact360: Interactive Identity-driven Text to 360° Panorama Generation. 728-736 - Jiao Liu, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan:
Inverse Multiobjective Optimization by Generative Model Prompting. 737-740 - Buxin Zeng, Yifeng Zeng, Yinghui Pan:
Inverse Reinforcement Learning for Legibility Automation in Intelligent Agents. 741-746 - Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Ashish James, Chuan-Sheng Foo, Min Wu, Jie Lin:
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. 747-754 - Juliette N. Zerick, Zachary Kaufman, Jonathan Ott, Janki Kuber, Ember Chow, Shyama Shah, Gregory Lewis:
It Takes Two to Trust: Mediating Human-AI Trust for Resilience and Reliability. 755-761 - Peike Patrick Li, Boyu Chen, Yao Yao, Yikai Wang, Allen Wang, Alex Wang:
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models. 762-769 - Ramzi Djemai, Vassil T. Vassilev, Karim Ouazzane, Maitreyee Dey:
Knowledge-based Reactive Planning and Re-planning - A Case-Study Approach. 770-775 - Roy de Winter, Fu Xing Long, André Thomaser, Thomas H. W. Bäck, Niki van Stein, Anna V. Kononova:
Landscape Analysis Based vs. Domain-Specific Optimization for Engineering Design Applications: A Clear Case. 776-781 - Chong Min John Tan, Mehul Motani:
LLMs as a System of Multiple Expert Agents: An Approach to Solve the Abstraction and Reasoning Corpus (ARC) Challenge. 782-787 - Felix Lanfermann, Thiago Rios, Stefan Menzel:
Large Language Model-assisted Clustering and Concept Identification of Engineering Design Data. 788-795 - Thiago Rios, Felix Lanfermann, Stefan Menzel:
Large Language Model-assisted Surrogate Modelling for Engineering Optimization. 796-803 - Madhurima Vardhan, Deepak Nathani, Swarnima Vardhan, Abhinav Aggarwal, Filippo Simini:
Large language models as synthetic electronic health record data generators. 804-810 - Danni Peng, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters. 811-816 - Artem Lensky, Mingyu Hao:
Learning to Predict Short-Term Volatility with Order Flow Image Representation. 817-822 - Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang:
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. 823-830 - Yu-Hsi Chen, Cheng-Jung Chuang, Chien-Yao Wang, Jen-Chun Lin, Hong-Yuan Mark Liao:
License plate recognition in low quality image by using Latent Diffusion YOLOv7. 831-838 - Xinliu Zhong, Leo Hwa Liang, Angela S. Koh, Yeo Si Yong:
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification. 839-844 - Jun Zhou, Zhenzhou Wu, Mengren Man, Yonghui Wu, Linh Le Dinh, Manna Dai, Yong Liu, Rick Siow Mong Goh:
Llama-TCR: Generate De Novo TCR with Large Language Model. 845-850 - Hakan T. Otal, Eric Stern, Muhammed Abdullah Canbaz:
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration. 851-859 - Cheng Chen, Ivor W. Tsang:
Local and Global Guidance for Multi-Complementary Label Learning. 860-864 - Yuyang Zhou, Alexander P. Turner, Ferrante Neri:
Local Optima Networks for Reinforcement Learning - A Case Study: Coupled Inverted Pendulum Task. 865-870 - David M. Bossens, Philip S. Thomas:
Low Variance Off-policy Evaluation with State-based Importance Sampling. 871-883 - Mehrdad Tanha, Muhammad Adeel:
LTE User behavior prediction Via LSTM. 884-889 - Vincent Wei Jun Sim, Glades Tan, Xinliu Zhong, Terrance SJ Chua, Jie Jun Wong, Si Yong Yeo, Angela S. Koh:
Machine and Deep Learning Based Clinical Decision Making for Coronary Artery Disease and Chatbot Tool. 890-893 - Ankit Das, Kee Yen Cheng, Yong Liu, Rick Siow Mong Goh, Feng Yang:
Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction. 894-898 - Xiaocai Zhang, Hur Lim, Xiuju Fu, Ke Wang, Zhe Xiao, Zheng Qin:
Maritime-Context Text Identification for Connecting Artificial Intelligence (AI) Models. 899-904 - Zhi Qing Looi, Zi Heng Ng, Ren Xiang Yak, Oren Rosen, Arun Kumar:
MeLoDicA AI- Machine Learning Based Detection of Asthma via Vocal Audio Analysis. 905-910 - Boxuan Hu, Yunhao Xu, Junlin Hu:
Mining Contrastive Loss for Kinship Verification. 911-912 - Wendy Hui, Wai Kwong Lau:
Mitigating Nonlinear Algorithmic Bias in Binary Classification. 913-917 - Masaaki Ono, Ryutaro Ichise:
Model Based Reinforcement Learning Pre-Trained with Various State Data. 918-925 - Yudi Xiao, Yingyi Zhang, Xianneng Li:
Modeling Variational Anchoring Effect for Recommender Systems. 926-931 - Huanbo Lyu, Daniel Herring, Lingfeng Wang, Jelena Ninic, James Andrews, Miqing Li, Michal Kocvara, Fabian Spill, Shuo Wang:
Multi-Objective Optimization for Flexible Building Space Usage. 932-939 - Wei Xian Lim, Naheed Anjum Arafat, Wai Lee Chan, Adams Wai-Kin Kong:
Multi-Order Loss Functions For Accelerating Unsteady Flow Simulations with Physics-Based AI. 940-946 - Merve Gül Kantarci, Mehmet Gönen:
Multimodal Fusion for Effective Recommendations on a User-Anonymous Price Comparison Platform. 947-952 - Indrani Paul Roy, Debanga Raj Neog:
Multimodal Fusion of EEG and Eye Data for Attention Classification using Machine Learning. 953-954 - Yexin Liu, Lin Wang:
MYCloth: Towards Intelligent and Interactive Online T-Shirt Customization based on User's Preference. 955-962 - Yifei Oo, Owen Noel Newton Fernando, Deepu Rajan:
MyHistory: Automatic Photo Album Creation. 963-968 - Nico Schiavone, Jingyi Wang, Shuangzhi Li, Roger J. Zemp, Xingyu Li:
MyriadAL: Active Few Shot Learning for Histopathology. 969-976 - Sara Contu, Renaud Schiappa, Emmanuel Chamorey:
Natural language processing to estimate RECIST response in cancer patients. 977-978 - Jessica Kelly, Shanza Ali Zafar, Lena Heidemann, João-Vitor Zacchi, Delfina Espinoza, Núria Mata:
Navigating the EU AI Act: A Methodological Approach to Compliance for Safety-critical Products. 979-984 - Yunjia Wang, Kaizheng Wang, Zihao Zhang, Jeroen Boydens, Davy Pissoort, Mathias Verbeke:
Navigating the Waters of Object Detection: Evaluating the Robustness of Real-time Object Detection Models for Autonomous Surface Vehicles. 985-992 - Abhishek Gupta, B. K. Mishra:
Neuroevolving monotonic PINNs for particle breakage analysis. 993-996 - Nicolai Schoch, Mario Hoernicke:
NL2IBE - Ontology-controlled Transformation of Natural Language into Formalized Engineering Artefacts. 997-1004 - Diksha Gupta, Rhui Dih Lee, Laura Wynter:
On Efficient Object-Detection NAS for ADAS on Edge devices. 1005-1010 - Nick Tsagarakis, Michail Maniadakis:
On the generation and assessment of synthetic waste images. 1011-1016 - Usevalad Milasheuski, Luca Barbieri, Bernardo Camajori Tedeschini, Monica Nicoli, Stefano Savazzi:
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks. 1017-1023 - Abderrahim Fathan, Xiaolin Zhu, Md. Jahangir Alam:
On the influence of metric learning loss functions for robust self-supervised speaker verification to label noise. 1024-1031 - Mohamed Roshdi, Julian Petzold, Mostafa Wahby, Hussein Ebrahim, Mladen Berekovic, Heiko Hamann:
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System. 1032-1039 - Ponhvoan Srey, Yuhui Zhang, Takafumi Kanamori:
Open-World Learning Under Dataset Shift. 1040-1042 - Jonathan Ledet, Ashok Kumar, Dominick Rizk, Rodrigue Rizk, KC Santosh:
Optimized Vision Transformer Training using GPU and Multi-threading. 1043-1044 - Zizhe Wang, Xiaofeng Yin, Yun Hui Lin, Ping Chong Chua, Ning Li, Xiuju Fu:
Optimizing Demand Forecasting: A Framework With Bayesian Optimization Embedded Reinforcement Learning for Combined Algorithm Selection and Hyperparameter Optimization. 1045-1050 - Tanvi Verma, Norman Teo Zhi Wei, Fei Gao, Hao Yu, Ricardo Shirota Filho:
Optimizing Indoor Farming: Deep Learning for Predicting Plant Growth under LED Light Treatments. 1051-1056 - Ming Zhao, Omar Hussain, Yu Zhang, Morteza Saberi:
Optimizing Supply Chain Risk Management: An Integrated Framework Leveraging Large Language Models. 1057-1062 - Xiaohu Liu, Amandine Brunetto, Sascha Hornauer, Fabien Moutarde, Jialiang Lu:
PANO-ECHO: PANOramic depth prediction enhancement with ECHO features. 1063-1070 - Shuzhi Liu, Shimin Di, Jianwen Peng, Quanming Yao:
Path-based Link Prediction on Hyper-relational Knowledge Graph. 1071-1074 - Xue Li, Ben Cao, Hongzhen Ding, Na Kang, Tao Song:
PepPFN: protein-peptide binding residues prediction via pre-trained module-based Fourier Network. 1075-1080 - Donghao Huang, Zhenda Hu, Zhaoxia Wang:
Performance Analysis of Llama 2 Among Other LLMs. 1081-1085 - Jie Kang, Yaqing Hou, Yifeng Zeng, Yongchao Chen, Xiangrong Tong, Xin Xu, Qiang Zhang:
Phased Continuous Exploration Method for Cooperative Multi-Agent Reinforcement Learning. 1086-1091 - Tanvi Verma, Ricardo Shirota Filho:
PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning. 1092-1097 - Ah-Hwee Tan, Weng-Yan Ying, Budhitama Subagdja, Anni Huang, D. Shanthoshigaa, Tony Chin-Ian Tay, Iris Rawtaer:
Predicting Mild Cognitive Impairment through Ambient Sensing and Artificial Intelligence. 1098-1104 - Lien Nguyen, Anh Nguyen, Jack Jia, Steve Ling, Nigel Finch:
Prediction of Students' Academic Progression using Machine Learning. 1105-1110 - Vangelis P. Oikonomou, Kostas Geordiadis, Fotis P. Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals. 1111-1116 - Vipasha Sharma, Sanjay Kumar Ghosh, Siddhartha Khare:
Prediction of Transmission Rates of Dengue in National Capital Territory Delhi Using Machine Learning Models. 1117-1122 - Jijomon Chettuthara Monsy, Yong Fan, Cynthia H. Y. Fu:
Prediction of Treatment Outcome to Transcranial Direct Current Stimulation in Major Depression Based on Deep Learning of EEG Data. 1123-1128 - Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing:
Privacy preserving layer partitioning for Deep Neural Network models. 1129-1135 - Chia-Yu Lin, Yu-Chen Yeh, Makena Lu:
Privacy-preserving Federated Learning for Industrial Defect Detection Systems via Differential Privacy and Image Obfuscation. 1136-1141 - Yukai Xu, Jingfeng Zhang, Yujie Gu:
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data. 1142-1147 - Martin Kodys, Zhongmin Dai, Vrizlynn L. L. Thing:
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks. 1148-1153 - J. Cooper, Tahir Bachar Issa, C. Vinegoni, Ralph Weissleder:
Providing Real-World Benchmarks for Super-Resolving Fluorescence Microscope Imagery Using Generative Adversarial Networks. 1154-1161 - Jungmin Hwang, Won-Sook Lee:
Query-Selected Global Attention for Text guided Image Style Transfer using Diffusion Model. 1162-1166 - Guanzhong Wang, Heinrich Ruser, Julian Schade, Johannes Passig, Ralf Zimmermann, Günther Dollinger, Thomas Adam:
Rapid Classification Of Aerosol Particle Mass Spectra Using Data Augmentation And Deep Learning. 1167-1172 - Yukuan Wang, Jingxian Liu, Jiayi Zhang, Hongchu Yu, Zhongjie Di:
Real-time Scheduling Optimization with Deep Learning-powered Demand Forecasting in Water Transportation. 1173-1174 - Xin Luo, Yihao Huang, Weikai Miao:
Real-World License Plate Image Super-Resolution via Domain-specific Degradation Modeling. 1175-1180 - Sidra Sidra, Claire Mason:
Reconceptualizing AI Literacy: The Importance of Metacognitive Thinking in an Artificial Intelligence (AI)-Enabled Workforce. 1181-1186 - Arvid Weyrauch, Thomas Steens, Oskar Taubert, Benedikt Hanke, Aslan Eqbal, Ewa Götz, Achim Streit, Markus Götz, Charlotte Debus:
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers. 1187-1194 - Anh Nguyen-Duy, Duc-Thinh Pham, Jian-Yi Lye, Duong Ta:
Reinforcement Learning for Strategic Airport Slot Scheduling: Analysis of State Observations and Reward Designs. 1195-1201 - Sayed Rafay Bin Shah, Shreyas Subhash Putty, Andreas Schwung:
Representation Learning and Knowledge Distillation for Lightweight Domain Adaptation. 1202-1207 - Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, Qinghua Lu:
Resolving Ethics Trade-offs in Implementing Responsible AI. 1208-1213 - Jianwei Pan, Yi Yin, Yuanbing Li, Shujing Li, Wei Wang, Zhen Cai, Xin Xu:
Restoration of Material Pore Structure Image Using Transformer Architecture. 1214-1219 - Sharmila Devi, Gopala Dhar, Chaitanya Bharadwaj, Abdussamad M:
Retrieval Augmented MedLM. 1220-1221 - Xi Qin, Sirui Song, Jackson Brengman, Chris Bartone, Jundong Liu:
Robust FOD Detection using Frame Sequence-based DEtection TRansformer (DETR). 1222-1226 - David M. Bossens:
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes. 1227-1239 - Vanja Skoric, Giovanni Sileno, Sennay Ghebreab:
Roles of Standardised Criteria in Assessing Societal Impact of AI. 1240-1245 - Ting-Ching Lee, Jia-He Tee, Chuan-Kang Ting:
Route Planning through Genetic Algorithm for Multi-Axis Motion Control. 1246-1253 - Yunbo Qiu, Yue Jin, Lebin Yu, Jian Wang, Xu-Dong Zhang:
Safe Multi-Agent Reinforcement Learning via Dynamic Shielding. 1254-1257 - Zhengyuan Liu, Stella Xin Yin, Carolyn Lee, Nancy F. Chen:
Scaffolding Language Learning via Multi-modal Tutoring Systems with Pedagogical Instructions. 1258-1265 - Timothy B. Gaines, Camden I. Boyle, James M. Keller, Matthew R. Maschmann, Stanton R. Price, Grant J. Scott:
Scanning Electron Microscope Image Segmentation with Foundation AI Vision Model for Nanoparticles in Autonomous Materials Explorations. 1266-1271 - Zheng Kai Liaw, Ankit Das, Shaista Hussain, Feng Yang, Yong Liu, Rick Siow Mong Goh:
SegMAE-Net: A Hybrid Method Using Masked Autoencoders for Consistent 3D Medical Image Segmentation. 1272-1277 - Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi:
Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization. 1278-1283 - Yeli Feng:
Semantic Textual Similarity Analysis of Clinical Text in the Era of LLM. 1284-1289 - Bryce Chen, Victoria Huang, Chen Wang:
Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations. 1290-1295 - Wu Lin, Qiuzhen Lin, Xiaoming Xue, Kay Chen Tan:
Sequential Transfer via Clustering-Based Similarity Measurement for Faster Trajectory Optimization. 1296-1301 - Koya Takahashi, Kaito Zama, Noriko F. Hiroi:
Ship trajectory prediction using AIS data with TransFormer-based AI. 1302-1305 - Zhuoran Li, Xuefeng Chen, Liang Feng, Zhou Wu, Xin Xu:
SHSML: A Stochastic Approach to Hierarchically Structured Meta-Learning for Improved Inference and Confidence. 1306-1311 - Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao:
Soft Constraint in Local Structure Approximation-PINN. 1312-1315 - Divyansh Jain, Anurag Garg:
SPADENet: Skill-based Player Action Decision and Evaluation for Card Games using Deep Neural Networks (Online Rummy as Case Study). 1316-1323 - Xiaxin Wang, Lixuan Zong, Xiaobo Shen:
SPD Hashing Network for Fast Image Set Classification and Retrieval. 1324-1325 - Bishwamittra Ghosh, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
Split Learning of Multi-Modal Medical Image Classification. 1326-1331 - Yanqi Ge, Ye Huang, Wen Li, Lixin Duan:
SSR : SAM is a Strong Regularizer for domain adaptive semantic segmentation. 1332-1333 - Zhiyuan Yang, Ryan Rad:
SSSwin: Sequential Spectral Swin Transformer for Solar Panel Mapping in Satellite Imagery. 1334-1339 - Taurai Muvunza, Yang Li, Ercan E. Kuruoglu:
Stable Probabilistic Graphical Models for Systemic Risk Estimation. 1340-1345 - Ciyuan Peng, Mujie Liu, Chenxuan Meng, Sha Xue, Kathleen Keogh, Feng Xia:
Stage-aware Brain Graph Learning for Alzheimer's Disease. 1347-1349 - Dan Hudson, Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller:
Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults. 1350-1356 - Shahrzad Mahboubi, Hiroshi Ninomiya:
Study on Stochastic Gradient Descent Without Explicit Error Backpropagation with Momentum. 1357-1358 - Akbar Satya Nugraha, Novanto Yudistira, Bayu Rahayudi:
Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO. 1359-1364 - Lifeng Xu, Chuanrui Hu, Hua Zhang, Jiahui Zhai, Wei Tang, Yuchen Li, Zhao Peng, Qiuwu Chen, Shiyu Sun, Ao Ji, Yin Sun, Zimou Liu, Su Wen, Liao Bin:
Surpassing Human Counterparts: A Breakthrough Achievement of Large Language Models in Professional Tax Qualification Examinations in China. 1365-1370 - Marc Schmitt:
Sustainable Machine Learning: Evaluating the Environmental Cost of AutoML Algorithms in AI Development. 1371-1372 - Kei Sen Fong, Mehul Motani:
Symbolic Regression for Discovery of Medical Equations: A Case Study on Glomerular Filtration Rate Estimation Equations. 1373-1379 - Ali Köksal, Qianli Xu, Joo-Hwee Lim:
Talking Face Generation via Face Mesh - Controllability without Reference Videos. 1380-1386 - Rifat Al Mamun Rudro, Api Alam, Shafin Talukder, Tanvir Ahmed, Nayma Islam, Kamruddin Nur:
TelLungNet - Enabling Telemedicine Utilizing an Improved U-Net Lung Image Segmentation. 1387-1393 - Ren-Jun Soon, Chee-Kong Chui:
Textile Surface Defects Analysis with Explainable AI. 1394-1398 - Mingsheng Ma, De Zhang, Feng Liu:
The detection of vibration dampers based on optimized RetinaNet. 1399-1403 - Amy Wong, Jimmy Wong:
The impact of perceived robotic intelligence on trust and attitude. 1404-1405 - Yan Zhou:
The impact of the artificial intelligence (AI) Art Generator in pre-service art teacher training. 1406-1407 - Helena Costa, Joana Mendonça:
The Proposal of an AI Policy Maturity Model. 1408-1413 - Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi, Yon Shin Teo, Yushi Cao, Shangwei Lin:
Towards a More Robust and Accurate OCR Model with Adversarial Techniques in HMI Testing Scenarios. 1414-1421 - Junhao Dong, Melvin Wong, Sihan Xia, Joel Wei En Tay:
Towards Adversarially Robust Data-Efficient Learning with Generated Data. 1422-1424 - Maarten Vangeneugden, Ngoc Quang Luong, Siegfried Mercelis:
Towards Efficient Rail Transportation: Bayesian Network Modeling for Predicting Passenger Train Delays Using Secondary Train Information. 1425-1431 - Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi:
Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery. 1432-1435 - Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Annmary Justine, Maxim A. Ziatdinov, Ayana Ghosh, Kevin Roccapriore, Supama Bhattacharya, Paolo Faraboschi:
Towards FAIR Workflows for Federated Experimental Sciences. 1436-1437 - Dikai Liu, Jianxiong Yin, Simon See:
Towards Fault-tolerant Quadruped Locomotion with Reinforcement Learning. 1438-1441 - Keyu Zhou, Jin Chen, Shuangchun Gui, Zhenkun Wang:
Towards Lightweight Underwater Depth Estimation. 1442-1445 - Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, Brad D. Carter, Sancho Salcedo-Sanz:
Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems. 1446-1453 - Aniket Kumar, Rodrigue Rizk, KC Santosh:
Transformer-based Reinforcement Learning Model for Optimized Quantitative Trading. 1454-1455 - Yanting Zheng, Ryan Rad:
Transforming GPP Estimation in Terrestrial Ecosystems using Remote Sensing and Transformers. 1456-1461 - Manna Dai, Yonghui Wu, Jun Zhou, Zhenzhou Wu, Mengren Man, Linh Le Dinh, Joyjit Chattoraj, Feng Yang, My Ha Dao, Yong Liu, Rick Siow Mong Goh:
TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers. 1462-1467 - Vicky Sintunata, Siying Liu, Dinh Nguyen Van, Zhao Yong Lim, Ryan Lee Zhikuan, Yue Wang, Jack Ho Jun Feng, Karianto Leman:
Unsupervised Latent Regression through Information Maximization - Contrastive Regularized GAN. 1468-1473 - Jun Song Huang, Arya Radhakrishnan, Timothy Lee, Min Lee, Janice Lum, Guimei Liu, Jung Jae Kim:
Unveiling the dynamics of learning behaviors in learning K-12 math: An exploration of an ASSISTments Dataset. 1474-1480 - Bo Gao, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
Unveiling the Potential of ChatGPT in Detecting Machine Unauditable Bugs in Smart Contracts: A Preliminary Evaluation and Categorization. 1481-1486 - Haowen Wang, Xinyan Ye, Yikang Wang, Yangze Zhou, Zhiyi Zhang, Longhan Zhang, Jing Jiang, Yiteng Zhai:
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge. 1487-1492 - Steve Jones:
Using Generative AI to drive person centric networking. 1493-1496 - Jun Huang, Zongze Li, Ruihao Zheng, Zhenkun Wang:
UWM-Net: A Mixture Density Network Approach with Minimal Dataset Requirements for Underwater Image Enhancement. 1497-1500 - Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong:
Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations. 1501-1506 - Min Wang, Christine Boshuijzen-van Burken, Nan Sun, Shabnam Kasra Kermanshahi, Yu Zhang, Jiankun Hu:
VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation. 1507-1509 - Jing Zhong Tee, Ye Zhen, Chin-Boon Chng, Chee-Kong Chui:
Vision Control for Cable Binding Robot in Offshore and Marine Industry. 1510-1515 - Brian Man-Kit Ng, Samantha Rose Sudhoff, Haichang Li, Joshua Kamphuis, Tim Nadolsky, Yingjie Chen, Kristen Yeon-Ji Yun, Yung-Hsiang Lu:
Visualize Music Using Generative Arts. 1516-1521 - Yu-Chi Chang, Chung-Ming Lo, Yi-Kong Chen, Ping-Hsun Wu, Hsing Luh:
W-Net: Two-stage segmentation for multi-center kidney ultrasound. 1522-1523 - Xiang Hao, Chenxiang Ma, Qu Yang, Kay Chen Tan, Jibin Wu:
When Audio Denoising Meets Spiking Neural Network. 1524-1527 - Sebrina Zeleke, Tanya Y. Berger-Wolf, Xia Ning:
When to Use Demographic Data in Healthcare Models: A Bias-Responsible Approach. 1528-1529 - Shanshan Feng, Haoming Lyu, Fan Li, Zhu Sun, Caishun Chen:
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. 1530-1535 - Bronte Sihan Li, Ryan Rad:
Wildfire Spread Prediction in North America Using Satellite Imagery and Vision Transformer. 1536-1541 - Sarala Mohan Naidu, Ning Xiong:
XES3MaP: Explainable Risks Identified from Ensembled Stacked Self-Supervised Models to Augment Predictive Maintenance. 1542-1548 - Yu Zhe, Jun Sakuma:
Zero-shot domain adaptation based on dual-level mix and contrast. 1549-1556 - Luís Fernando de Souza Cardoso, Tobias Schwandt, Wolfgang Broll:
μPose: Synthetic Dataset for Human Pose Estimation in Microgravity Environments. 1557-1562
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-29 01:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
