AIKE

Publications

2023

Hyelim Yang, Kapil Wanaskar, Harshika Shrivastava, Shahbaz Mansahia, Shakshi Richhariya, Magdalini Eirinaki
Prompt Recommendations for AI Art. AIKE (2023)
Ghulam Mustafa, Seong-Je Cho, Youngsup Hwang
Hybrid ConvLSTM with Attention for Precise Driver Behavior Classification. AIKE (2023)
Jiaji Ma, Seung-Hwan Lim
Efficient graph representation framework for chemical molecule similarity tasks. AIKE (2023)
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. AIKE (2023)
Andrew O'Brien, Edward Kim, Rosina Weber
Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification. AIKE (2023)
Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen
Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches. AIKE (2023)
Alexander Rossner, Ralf Dörner, Sven Pagel
Advancing Trustworthy Knowledge Engineering through User-Centered AI-based Systems: A Systematic Review. AIKE (2023)
Wasif Bokhari, Harry Rein, Syed Hashmy
Influencer Lookalikes: A Novel Approach to Identifying Similar Social Media Users. AIKE (2023)
Ning Wang, Amin Kamali, Verena Kantere, Calisto Zuzate, Vincent Corvinelli, Brandon Frendo, Steve Donoghue
A Hybrid Cost Model for Evaluating Query Execution Plans. AIKE (2023)
Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE (2023)
Satvik Garg, Shivam Parikh, Somya Garg
Navigating Healthcare Insights: A Bird's Eye View of Explainability with Knowledge Graphs. AIKE (2023)
Sung-Kyu Ahn, Sang-Hoon Choi, Ki-Woong Park
Side-Channel Based Device Authentication in Wireless Charging: An Experimental Study. AIKE (2023)
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. AIKE (2023)
Gregorius Airlangga, Alan Liu
A Knowledge-Driven Approach to Dynamic Path Planning: Fuzzy A*-Based Method for Scalable Multi-Agent Systems. AIKE (2023)
Yutong Yao, Petros Potikas, Katerina Potika
Knowledge Graphs for Textbooks: Extraction and Completion Techniques. AIKE (2023)
Jason Lin, Yi-Lun Lo
Ranking of Mathematical Equations within a Scientific Document. AIKE (2023)
Danial Ebrahimzadeh, Sarah Safura Sharif, Yaser Mike Banad
Improving Image Classification using Triple-GAN: A Fusion of Generative Adversarial Networks and Transfer Learning. AIKE (2023)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE (2023)
Joo-Young Roh, Sang-Hoon Choi, Ki-Woong Park
CO-TRIS: Container Orchestration - Transforming container using Resource Inspection System. AIKE (2023)
Shaykh Siddique, Shahana Shultana, Sherri Frizell
An Enhanced Strategy of Detecting Neurological Disorders from Magnetic Resonance Images Using Deep Learning. AIKE (2023)
Andrew O'Brien, Edward Kim, Rosina Weber
Basis Learning for Dynamical Systems in the Presence of Incomplete Scientific Knowledge. AIKE (2023)
Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2023, Laguna Hills, CA, USA, September 25-27, 2023 AIKE (2023)
Venkat Ramaraju, Jayanth Rao, James Smith, Ajay Bansal
Forecasting Stock Market Performance: An Ensemble Learning-Based Approach. AIKE (2023)
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. AIKE (2023)

2022

2021