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ORCID4th CogMI 2022: Atlanta, GA, USA
- 4th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2022, Atlanta, GA, USA, December 14-17, 2022. IEEE 2022, ISBN 978-1-6654-7406-1
- Stefan Nastic
, Philipp Raith, Alireza Furutanpey, Thomas W. Pusztai, Schahram Dustdar:
A Serverless Computing Fabric for Edge & Cloud. 1-12 - Francesca Naretto, Anna Monreale, Fosca Giannotti:
Evaluating the Privacy Exposure of Interpretable Global Explainers. 13-19 - Zon-Yin Shae, Kun-Yi Chen, Chi-Yu Chang, Yuan-Yu Tsai, Che-Yi Chou, William Baskett, Chi-Ren Shyu, Jeffrey J. P. Tsai:
Thoughts on Non-IID Data Impact in Healthcare with Federated Learning Medical Blockchain. 20-26 - Dinesh C. Verma:
Inference for Trustworthy Machine Intelligence: Challenges and Solutions. 27-34 - Adrienne Raglin, Sharon Sputz, Andrew Smyth:
Artificial Reasoning in the Streetscape. 35-39 - Ricardo Baeza-Yates, Pablo Villoslada:
Human vs. Artificial Intelligence. 40-48 - Danda B. Rawat:
Artificial Intelligence Meets Tactical Autonomy: Challenges and Perspectives. 49-51 - Robert K. L. Kennedy, Zahra Salekshahrezaee, Taghi M. Khoshgoftaar:
A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data. 52-58 - Stacey Truex, Giorgi Alavidze:
PSLotto: A Privacy-Enhanced COVID Lottery System. 59-68 - Javed Mostafa, Weimao Ke:
Collaboration, Self-Reflection, and Adaptation in Robot Communities: Using Multi-Agent Distributed Learning for Coordination Planning. 69-73 - Abhijit Suprem, Sanjyot Vaidya, Suma Cherkadi, Purva Singh, João Eduardo Ferreira, Calton Pu:
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning. 74-83 - Junlin Wang, Wenbo Wang, Yi Shang, Dong Xu:
New Heuristic Methods for Protein Model Quality Assessment via Two-Stage Machine Learning and Hierarchical Ensemble. 84-90 - Gabriele Maurina, Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Gerald P. Duggan:
A Methodology for Energy Usage Prediction in Long-Lasting Abnormal Events. 91-100 - Kenneth Lai, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Face Biometric Fairness Evaluation on Real vs Synthetic Cross-Spectral Images. 101-106 - Alicia Jiayun Law, Ruoyu Hu, Lisa Alazraki, Anandha Gopalan, Neophytos Polydorou, Abbas Edalat:
A Multilingual Virtual Guide for Self-Attachment Technique. 107-116 - Yang Zhang, Shiqi Wang, Zhenduo Zhai, Yi Shang, Reid Viegut, Elisabeth Webb, Andrew Raedeke, Joel Sartwell:
Development of New Aerial Image Datasets and Deep Learning Methods for Waterfowl Detection and Classification. 117-124 - Lingshu Hu, Can Li, Wenbo Wang, Bin Pang, Yi Shang:
Performance Evaluation of Text Augmentation Methods with BERT on Small-sized, Imbalanced Datasets. 125-133 - DeMarcus Edwards, Danda B. Rawat, Brian M. Sadler:
Adversarial Promotion for Video based Recommender Systems. 134-138 - Bander Allogmany, Darsana Josyula:
An approach to dealing with incremental concept drift in personalized learning systems. 139-147 - Yang Zhang, Yizhen Wang, Zhicheng Tang, Zhenduo Zhai, Yi Shang, Reid Viegut:
Deep Learning Methods for Tree Detection and Classification. 148-155
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