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ORCID5th AIKE 2022: Laguna Hills, CA, USA
- 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2022, Laguna Hills, CA, USA, September 19-21, 2022. IEEE 2022, ISBN 978-1-6654-7120-6
- Carsten Felix Draschner
, Hajira Jabeen, Jens Lehmann:
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs. 1-8 - Anne Füßl, Volker Nissen:
Interpretability of Knowledge Graph-based Explainable Process Analysis. 9-17 - Woosang Cho, Hojun Lee, Sangchul Han, Young-Sup Hwang, Seong-je Cho:
Sustainability of Machine Learning-based Android Malware Detection Using API calls and Permissions. 18-25 - Bogdan Walek, Patrik Müller:
An approach for recommending relevant articles in news portal based on Doc2Vec. 26-31 - Abigail Sticha, Steven Broussard, Ian Havenaar, Charles Vardeman, Paul R. Brenner:
Hybrid Knowledge Engineering to Build a Global Assassination Dataset. 32-35 - Aishwarya Ramakrishnan, Chun-Kit Ngan:
A Hybrid Video-to-Text Summarization Framework and Algorithm on Cascading Advanced Extractive- and Abstractive-based Approaches for Supporting Viewers' Video Navigation and Understanding. 36-39 - Mustafa Sert:
Exponential Moving based Features for Acoustic Scene Classification. 40-44 - Jon Rogers, Ramazan S. Aygün, Letha H. Etzkorn:
Cheat Detection Through Temporal Inference of Constrained Orders for Subsequences. 45-52 - Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning. 53-60 - Anwar Tantawy, Douglas D. O'Shaughnessy:
The Effects of Model Capacity in Modelling Variability between Training and Testing Environments for Automatic Speech Recognition. 61-64 - SungHwan Jeon, Simon Shim, Haejin Chung, Yunmook Nah:
OCI Runtime Comparison and Analysis Study. 65-66 - Rafa Alenezi, Simone A. Ludwig:
Detecting Pneumonia Based On Chest X-Ray Images Using Reinforcement Learning. 67-73 - Ying-Jia Lin, Yu-Fang Chang, Hung-Yu Kao, Hsin-Yang Wang, Mu Liu:
Few-shot Text Classification with Saliency-equivalent Concatenation. 74-81 - Jayanth Rao, Venkat Ramaraju, James Smith, Ajay Bansal:
A Sentiment Analysis Based Stock Recommendation System. 82-89 - Gengjia Zhang, Siho Shin, Jaehyo Jung, Meina Li, Youn Tae Kim:
Development of a Variety of Fast Machine Learning Model for ECG-based Arrhythmia Classifier. 90-93 - Gengjia Zhang, Siho Shin, Jaehyo Jung, Meina Li, Youn Tae Kim:
Machine learning Algorithm for Non-invasive Blood Pressure Estimation Using PPG Signals. 94-97 - Lavdim Halilaj, Juergen Luettin, Cory A. Henson, Sebastian Monka:
Knowledge Graphs for Automated Driving. 98-105 - Flavio Giobergia, Elena Baralis:
RECLAIM: Reverse Engineering Classification Metrics. 106-113 - Tingjun Lei, Pradeep Chintam, Chaomin Luo, Shahram Rahimi:
Multi-Robot Directed Coverage Path Planning in Row-based Environments. 114-121 - Daniel Shamsudin, Meng Chew Leow, Lee-Yeng Ong:
Clustering Algorithms Analysis Based on Arcade Game Player Behavior. 122-125 - Shital Patil, Surendra Bhosale:
Assessing Feature Selection Techniques for Machine Learning Models using Cardiac Dataset. 126-130 - Hojun Lee, Seong-je Cho, Hyoil Han, Woosang Cho, Kyoungwon Suh:
Enhancing Sustainability in Machine Learning-based Android Malware Detection using API calls. 131-134
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