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Publication search results
found 45 matches
- 2024
- Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang:
AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14471, Springer 2024, ISBN 978-981-99-8387-2 [contents] - 2023
- Tetsumaru Akatsuka, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga:
Estimation of Unmasked Face Images Based on Voice and 3DMM. AI (1) 2023: 239-251 - Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. AI (1) 2023: 429-441 - Mehala Balamurali, Ehsan Mihankhah:
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline. AI (1) 2023: 55-66 - Son Thanh Cao, Le Van Thanh, Hoang Huu Viet:
Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search. AI (1) 2023: 442-454 - Shenshen Du, Jun Yu, Guochen Xie, Renjie Lu, Pengwei Li, Zhongpeng Cai, Keda Lu:
SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement. AI (1) 2023: 91-102 - Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra:
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. AI (1) 2023: 483-494 - Liming Ge, David Zhaochen Jiang, Wei Bao:
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video. AI (1) 2023: 165-177 - Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Hanna Suominen:
Neural Networks in Forecasting Financial Volatility. AI (1) 2023: 178-189 - Lipin Guo, Wei Emma Zhang, Weitong Chen, Ni Yang, Queen Nguyen, Trung Duc Vo:
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. AI (1) 2023: 67-78 - Yan Hu, Erik Meijering, Yang Song:
Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation. AI (1) 2023: 115-126 - Mitchell Keegan, Mahdi Abolghasemi:
Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework. AI (1) 2023: 455-467 - Wilkins Leong, Julie Porteous, John Thangarajah:
Story Sifting Using Object Detection Techniques. AI (1) 2023: 42-54 - Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) 2023: 354-366 - Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng:
Gemini: A Dual-Task Co-training Model for Partial Label Learning. AI (1) 2023: 328-340 - Haoqiang Lin, Haokun Wen, Xiaolin Chen, Xuemeng Song:
CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation. AI (1) 2023: 190-202 - Xinping Liu, Zehong Cao:
Enhance Reading Comprehension from EEG-Based Brain-Computer Interface. AI (1) 2023: 545-555 - Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu:
Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation. AI (1) 2023: 3-14 - Enes Makalic, Daniel F. Schmidt:
Minimum Message Length Inference of the Weibull Distribution with Complete and Censored Data. AI (1) 2023: 291-303 - Venkat Munagala, Sankhya Singh, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari, Amit Bhandari, Kon Mouzakis, Rajesh Vasa:
An Integrated Federated Learning and Meta-Learning Approach for Mining Operations. AI (1) 2023: 379-390 - Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Ickjai Lee:
An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification. AI (1) 2023: 468-479 - Hoang Chuong Nguyen, Miaomiao Liu:
Short-Term Solar Irradiance Forecasting from Future Sky Images Generation. AI (1) 2023: 15-27 - Issa Oe, Keiichiro Yamamura, Hiroki Ishikura, Ryo Hamahira, Katsuki Fujisawa:
Superpixel Attack - Enhancing Black-Box Adversarial Attack with Image-Driven Division Areas. AI (1) 2023: 141-152 - Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Causal Disentanglement for Adversarial Defense. AI (1) 2023: 315-327 - Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman:
Automatic Classification of Sensors in Buildings: Learning from Time Series Data. AI (1) 2023: 367-378 - Arnav Sharma, Subhanjali Sharma, Utkarsh Bhardwaj, Sajib Mistry, Novarun Deb, Aneesh Krishna:
COVID-19 Fake News Detection Using Cross-Domain Classification Techniques. AI (1) 2023: 507-519 - Hongwei Sheng, Xin Yu, Xue Li, S. Mojtaba Golzan:
Context-Based Masking for Spontaneous Venous Pulsations Detection. AI (1) 2023: 520-532 - Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel P. Hitt, Yoichiro Kanno, Ryo Futamura, Osamu Kishida, Kentaro Morita, Sheng Li:
Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years. AI (1) 2023: 252-264 - Muhammad Talha, Aya Hussein, Mohammed Hossny:
LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning. AI (1) 2023: 203-214 - Wensi Tang, Guodong Long:
WeightRelay: Efficient Heterogeneous Federated Learning on Time Series. AI (1) 2023: 129-140
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