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2nd CogMI 2020: Atlanta, GA, USA
- 2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020, Atlanta, GA, USA, October 28-31, 2020. IEEE 2020, ISBN 978-1-7281-4144-2
- Subbarao Kambhampati:
Conference Keynote Synthesizing Interpretable Behavior for Human-Aware AI Systems. xix - Zon-Yin Shae, Jeffrey J. P. Tsai:
Deep Learning Mechanism for Pervasive Internet Addiction Prediction. 1-7 - Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu:
Functional Perceptron using Multi-dimensional Activation Functions. 8-16 - Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. 17-26 - Jialie Shen, Karen Rafferty, Jia Jia:
Online Intelligent Music Recommendation: The Opportunity and Challenge for People Well-Being Improvement. 27-31 - Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang
, Kun-Ta Chuang, Huan Liu:
Learning Latent Perception Graphs for Personalized Unknowns Recommendation. 32-41 - Chin-Hui Chen, Yi-Fu Fu, Hsiao-Hua Cheng, Shou-De Lin:
Unseen Filler Generalization In Attention-based Natural Language Reasoning Models. 42-51 - Sergio Consoli
Fine-grained, aspect-based semantic sentiment analysis within the economic and financial domains. 52-61 - Riccardo Guidotti, Stefano Viotto:
Interpretable Next Basket Prediction Boosted with Representative Recipes. 62-71 - Elisa Nguyen
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. 72-81 - Benjamin M. Marlin
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. 82-91 - Schahram Dustdar
Towards Distributed Edge-based Systems. 92-100 - Arun Iyengar, Dhaval Patel, Shrey Shrivastava, Nianjun Zhou, Anuradha Bhamidipaty:
Real-Time Data Quality Analysis. 101-108 - Adrienne Raglin, Raha Moraffah, Huan Liu:
Causality and Uncertainty of Information for Content Understanding. 109-113 - Sandeep Gopisetty:
Global Pandemic: Business Model Impact on Enterprises reTHINK, reIMAGINE, reINVENT Businesses. 114-120 - Vedant Das Swain
Social Media and Ubiquitous Technologies for Remote Worker Wellbeing and Productivity in a Post-Pandemic World. 121-130 - Calton Pu, Abhijit Suprem, Rodrigo Alves Lima:
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media. 131-140 - Anna Cinzia Squicciarini, Sarah Michele Rajtmajer, Prasanna Umar, Taylor Blose:
A Tipping Point? Heightened self-disclosure during the Coronavirus pandemic. 141-146 - Ilir Murturi
A Decentralized Approach for Determining Configurator Placement in Dynamic Edge Networks. 147-156 - Zhongwei Xie, Ling Liu, Yanzhao Wu
Cross-Modal Joint Embedding with Diverse Semantics. 157-166 - Riccardo Guidotti, Anna Monreale, Francesco Spinnato
Explaining Any Time Series Classifier. 167-176 - Wiebke Toussaint, Aaron Yi Ding
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. 177-184 - Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng
Low-shot Learning in Natural Language Processing. 185-189 - Joffrey L. Leevy
Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. 190-197 - Zachary S. Hutchinson:
Artificial Dendrites: an Algorithm. 198-207 - Yanzhao Wu
Promoting High Diversity Ensemble Learning with EnsembleBench. 208-217 - Suhas BN
Automatic bird sound detection in long range field recordings using Wavelets & Mel filter bank features. 218-226 - Ruchi Bagwe, Kiran George:
Cortically-Coupled Generative Adversarial Network for Target Image Retrieval in Rapid Image Search. 227-233 - Michael R. Clark, Peter Swartz, Andrew Alten, Raed M. Salih:
No Classifier Left Behind: An In-depth Study of the RBF SVM Classifier's Vulnerability to Image Extraction Attacks via Confidence Information Exploitation. 234-243 - Sadaf Md. Halim, Latifur Khan, Bhavani Thuraisingham:
Next - Location Prediction Using Federated Learning on a Blockchain. 244-250
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