CAD2Render: A Synthetic data generator for training object detection and pose estimation models in industrial environments.
DOI: 10.54364/AAIML.2023.115807-Apr-2023
Steven Moonen
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 977-995
Abstract PDF Citation Info via Semantic ScholarOne-class Damage Detector Using Deeper Fully Convolutional Data Descriptions for Civil Application
DOI: 10.54364/AAIML.2023.115902-May-2023
Takato Yasuno, Masahiro Okano, Junichiro Fujii
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 996-1011
Abstract PDF Citation Info via Semantic ScholarA Comparison of Methods for Neural Network Aggregation
DOI: 10.54364/AAIML.2023.116009-May-2023
John Pomerat and Aviv Segev
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1012-1024
Abstract PDF Citation Info via Semantic ScholarExtending F1 metric, probabilistic approach
DOI: 10.54364/AAIML.2023.116110-May-2023
Mikolaj Sitarz
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1025-1038
Abstract PDF Citation Info via Semantic ScholarInvestigating the Impact of Yaw Pose Variation on Facial Recognition Performance
DOI: 10.54364/AAIML.2023.116229-May-2023
Omer Abdulhaleem Naser, Sharifah Mumtazah Syed Ahmad, Khairulmizam Samsudin, Marsyita Hanafi
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1039-1055
Abstract PDF Citation Info via Semantic ScholarShould ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era
DOI: 10.54364/AAIML.2023.116309-Jun-2023
Dong Zhang
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1056-1093
Abstract PDF Citation Info via Semantic ScholarCan We Trust Chatbots for Now? Accuracy, Reproducibility, Traceability; A Case Study on Leonardo Da Vinci’s Contribution to Astronomy
DOI: 10.54364/AAIML.2023.116412-Jun-2023
EL BAZ Didier
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1094-1109
Abstract PDF Citation Info via Semantic ScholarStructural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN
DOI: 10.54364/AAIML.2023.116515-Jun-2023
Youzhi Liang, Wen Liang, Jianguo Jia
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1110-1122
Abstract PDF Citation Info via Semantic ScholarLinguistically-Inspired Neural Coreference Resolution
DOI: 10.54364/AAIML.2023.116618-Jun-2023
Xuanyue Yang, Wenting Ye , Tianwei Yue, Wenping Wang
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1122-1134
Abstract PDF Citation Info via Semantic ScholarEvolutionary Augmentation Policy Optimization for Self-Supervised Learning
DOI: 10.54364/AAIML.2023.116721-Jun-2023
Zahra Sadeghi, Stan Matwin, Noah Barrett
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1135-1164
Abstract PDF Citation Info via Semantic ScholarSEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods
DOI: 10.54364/AAIML.2023.116822-Jun-2023
Hyeoncheol Cho, Youngrock Oh, Eunjoo Jeon
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1165-1175
Abstract PDF Citation Info via Semantic ScholarFishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration
DOI: 10.54364/AAIML.2023.116922-Jun-2023
Xin Shen, Kyungdon Joo, Jean Oh
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1176-1197
Abstract PDF Citation Info via Semantic ScholarDeep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps
DOI: 10.54364/AAIML.2023.117024-Jun-2023
Shathushan Sivashangaran, Azim Eskandarian
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1198-1219
Abstract PDF Citation Info via Semantic ScholarInkGAN: Generative Adversarial Networks for Ink-and-Wash Style Transfer of Photographs
DOI: 10.54364/AAIML.2023.117130-Jun-2023
Keyi Yu, Yu Wang, Sihan Zeng, Chen Liang, Xiaoyu Bai, Dachi Chen, Wenping Wang
Adv. Artif. Intell. Mach. Learn., 3 (2 ): 1220-123
Abstract PDF Citation Info via Semantic Scholar