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ORCID3rd CogMI 2021: Atlanta, GA, USA
- Third IEEE International Conference on Cognitive Machine Intelligence, CogMI 2021, Atlanta, GA, USA, December 13-15, 2021. IEEE 2021, ISBN 978-1-6654-1621-4
- Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton:
FireWarn: Fire Hazards Detection Using Deep Learning Models. 1-10 - Yanzhao Wu
, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. 1-10 - Magnus Karsten Oplenskedal, Amir Taherkordi, Peter Herrmann:
ATARAXIS: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection. 1-10 - Seshu Kumar Damarla, Xiuli Zhu, Madhusree Kundu:
Classification and Authentication of Mineral Water Samples using Electronic Tongue and Deep Neural Networks. 11-16 - Xueyang Zhang, Hang Li, Xi Chen, Xue Liu:
Impact Patterns of Combining Model Pruning and Continual Learning on Model Performance. 27-33 - Marta Marchiori Manerba, Riccardo Guidotti:
FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems. 34-43 - Mattia Setzu, Anna Monreale, Pasquale Minervini:
TRIPLEx: Triple Extraction for Explanation. 44-53 - Martina Cinquini, Fosca Giannotti, Riccardo Guidotti:
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. 54-63 - Gissel Velarde:
Artificial Intelligence Trends and Future Scenarios: Relations Between Statistics and Opinions. 64-70 - Lakindu Induwara Mampitiya, Rizma Nalmi, Namal Rathnayake:
Classification of Human Emotions using Ensemble Classifier by Analysing EEG Signals. 71-77 - Lisa Alazraki, Ali Ghachem, Neophytos Polydorou, Foaad Khosmood, Abbas Edalat:
An Empathetic AI Coach for Self-Attachment Therapy. 78-87 - Yi-Fan Li, Yu Lin, Yang Gao, Latifur Khan:
Cross-Domain Sentiment Classification with Attention-Assisted GAN. 88-95 - Tom Gotsman, Neophytos Polydorou, Abbas Edalat:
Valence/Arousal Estimation of Occluded Faces from VR Headsets. 96-105 - Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin:
A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems. 106-115 - Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca, Ryan Aydelott, Christin Seifert, Folker Meyer:
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). 116-123 - Zon-Yin Shae, Jeffrey J. P. Tsai:
On the Design of Medical Data Ecosystem for Improving Healthcare Research and Commercial Incentive. 124-131 - Luay Abdeljaber, Latifur Khan, Mahmoud Zamani, Musa Abdelaziz, Bertil E. Damato, Armin Afshar:
A Novel Application of a Semi-Supervised Learning Approach to Identify Choroidal Tumors in Fundus Photographs. 132-139 - Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu:
Pre-training Graph Neural Network for Cross Domain Recommendation. 140-145 - Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, Calton Pu:
PerfML: Smart Management of Complex Performance Data and Analytics. 146-155 - Ritwik Banerjee, Indrakshi Ray:
Diagnosis, Prevention, and Cure for Misinformation. 156-162 - Tarek F. Abdelzaher, Sanjoy K. Baruah, Chris Gill, Yevgeniy Vorobeychik, Ning Zhang, Xuan Zhang:
Research Challenges for Combined Autonomy, AI, and Real-Time Assurance. 163-167 - Francesca Spezzano:
Modeling Misinformation Diffusion in Social Media: Beyond Network Properties. 168-171 - Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson:
An Easy-to-Classify Approach for the Bot-IoT Dataset. 172-179 - Victor Casamayor-Pujol, Philipp Raith, Schahram Dustdar:
Towards a new paradigm for managing computing continuum applications. 180-188 - Dinesh C. Verma, Archit Verma, Utpal Mangla:
Addressing the Limitations of AI/ML in creating Cognitive Solutions. 189-196 - Adrienne Raglin, Henry Hoffman, Mark R. Mittrick, Heather Zheng, Justine Caylor:
Artificial Reasoning Toward Goal-Oriented Adaptive Arrays of Sensors. 197-203 - Weijing Shi, Ragunathan Raj Rajkumar:
Boosting Sparse Point Cloud Object Detection via Image Fusion. 214-220 - Alam Noor, Kai Li, Adel Ammar, Anis Koubaa, Bilel Benjdira, Eduardo Tovar:
A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions. 221-231 - John A. Stankovic, Meiyi Ma, Sarah Masud Preum, Homa Alemzadeh:
Challenges and Directions for Ambient Intelligence: A Cyber Physical Systems Perspective. 232-241 - Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic:
AI-Powered IoT System at the Edge. 242-251 - Meet P. Vadera, Benjamin M. Marlin:
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. 252-261 - Sandeep Singh Sandha, Mohit Aggarwal, Swapnil Sayan Saha, Mani B. Srivastava:
Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production. 262-271 - Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu:
Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment. 272-281 - Susmit Jha, Anirban Roy:
On Detection of Out of Distribution Inputs in Deep Neural Networks. 282-288
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