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ORCID6th AIKE 2023: Laguna Hills, CA, USA
- Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2023, Laguna Hills, CA, USA, September 25-27, 2023. IEEE 2023, ISBN 979-8-3503-3128-8
- Ghulam Mustafa
, Seong-Je Cho, Youngsup Hwang:
Hybrid ConvLSTM with Attention for Precise Driver Behavior Classification. 1-8 - Joshua Ho, Chien-Min Wang, Chung-Ta King, Yi-Hsin You, Chi-Wei Feng, Yen-Min Chen, Bo-Yi Kuo:
Learning Adaptation and Generalization from Human-Inspired Meta-Reinforcement Learning Using Bayesian Knowledge and Analysis. 9-16 - Venkat Ramaraju, Jayanth Rao, James Smith, Ajay Bansal:
Forecasting Stock Market Performance: An Ensemble Learning-Based Approach. 17-23 - Wasif Bokhari, Harry Rein, Syed Hashmy:
Influencer Lookalikes: A Novel Approach to Identifying Similar Social Media Users. 24-27 - Andrew O'Brien, Edward Kim, Rosina Weber:
Basis Learning for Dynamical Systems in the Presence of Incomplete Scientific Knowledge. 28-32 - Andrew O'Brien, Edward Kim, Rosina Weber:
Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification. 33-37 - Yutong Yao, Petros Potikas, Katerina Potika:
Knowledge Graphs for Textbooks: Extraction and Completion Techniques. 38-45 - Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches. 46-53 - Satvik Garg, Shivam Parikh, Somya Garg:
Navigating Healthcare Insights: A Bird's Eye View of Explainability with Knowledge Graphs. 54-61 - Hyelim Yang, Kapil Wanaskar, Harshika Shrivastava, Shahbaz Mansahia, Shakshi Richhariya, Magdalini Eirinaki:
Prompt Recommendations for AI Art. 62-65 - Alexander Rossner, Ralf Dörner, Sven Pagel:
Advancing Trustworthy Knowledge Engineering through User-Centered AI-based Systems: A Systematic Review. 66-70 - Gregorius Airlangga, Alan Liu:
A Knowledge-Driven Approach to Dynamic Path Planning: Fuzzy A*-Based Method for Scalable Multi-Agent Systems. 71-74 - Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette:
Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. 75-82 - Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin:
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. 83-90 - Danial Ebrahimzadeh, Sarah Safura Sharif, Yaser Mike Banad:
Improving Image Classification using Triple-GAN: A Fusion of Generative Adversarial Networks and Transfer Learning. 91-94 - Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette:
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. 95-98 - Shaykh Siddique, Shahana Shultana, Sherri Frizell:
An Enhanced Strategy of Detecting Neurological Disorders from Magnetic Resonance Images Using Deep Learning. 99-104 - Jason Lin, Yi-Lun Lo:
Ranking of Mathematical Equations within a Scientific Document. 105-112 - Jiaji Ma, Seung-Hwan Lim:
Efficient graph representation framework for chemical molecule similarity tasks. 113-120 - Joo-Young Roh, Sang-Hoon Choi, Ki-Woong Park:
CO-TRIS: Container Orchestration - Transforming container using Resource Inspection System. 121-124 - Sung-Kyu Ahn, Sang-Hoon Choi, Ki-Woong Park:
Side-Channel Based Device Authentication in Wireless Charging: An Experimental Study. 125-128 - HyeLim Jung, Sang-Hoon Choi, Mohsen Ali Alawami, Sung-Kyu Ahn, Ki-Woong Park:
I Know Where You Are: A Non-intrusive Geospatial-Electrical Authentication System. 129-132 - Ning Wang, Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli, Brandon Frendo, Steve Donoghue:
A Hybrid Cost Model for Evaluating Query Execution Plans. 133-138
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