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1st CogMI 2019: Los Angeles, CA, USA
- 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), Los Angeles, CA, USA, December 12-14, 2019. IEEE 2019, ISBN 978-1-7281-6737-4
- Salim Chujfi, Christoph Meinel:
Machine Learning and Human Cognition Combined to Enhance Knowledge Discovery Fidelity. 1-7 - Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su:
GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. 8-15 - Ryan LeBlanc, Sid-Ahmed Selouani:
Self-Adaptive Tuning for Speech Enhancement Algorithm Based on Evolutionary Approach. 16-22 - Abhijit Suprem, Rodrigo Alves Lima, Bruno Padilha, João Eduardo Ferreira, Calton Pu:
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks. 23-32 - Svetlana N. Yanushkevich, W. Gareth J. Howells, Keeley A. Crockett, James O'Shea, Helder Cesar Rodigues de Oliveira, Richard M. Guest, Vlad P. Shmerko:
Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources. 33-42 - Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu:
Deep Heterogeneous Social Network Alignment. 43-52 - Yang Zhou, Ling Liu:
Approximate Deep Network Embedding for Mining Large-Scale Graphs. 53-60 - Lei Xian, Samuel Dakota Vickers, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy:
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury. 61-70 - Melissa Day, Manohara Rao Penumala, Javier Gonzalez-Sanchez:
Annete: An Intelligent Tutoring Companion Embedded into the Eclipse IDE. 71-80 - Bhagyashree Shirke, Jonathan Wong, Kiran George:
Acute Mental Stress Measurement using Brain-IoT System. 81-86 - Jordan Vice, Masood Mehmood Khan, Svetlana N. Yanushkevich:
Multimodal Models for Contextual Affect Assessment in Real-Time. 87-92 - Mahmoud Khalil, Elena Fantino, Panos Liatsis:
Classification of Space Objects Using Machine Learning Methods. 93-96 - Ryan Villanueva, Brandon Hoang, Urmil Shah, Yazmin Martinez, Kiran George:
Sensory Audio Focusing Detection Using Brain-Computer Interface Archetype. 97-101 - Maxine Major, Sunny Fugate, Justin Mauger, Kimberly Ferguson-Walter:
Creating Cyber Deception Games. 102-111 - Ameema Zainab, Dabeeruddin Syed, Dena Al-Thani:
Deployment of Deep Learning Models to Mobile Devices for Spam Classification. 112-117 - Liyuan Liu, Jennifer Lewis Priestley, Yiyun Zhou, Herman E. Ray, Meng Han:
A2Text-Net: A Novel Deep Neural Network for Sarcasm Detection. 118-126 - Tom Johnsten, Wyatt Green, Lowell Crook, Ho Yin Chan, Ryan G. Benton, David M. Bourrie:
Discovery of Action Rules for Continuously Valued Data. 127-135 - Javed Mostafa, XiaoPeng Lu, Sandeep Avula:
Perennial, Permuted, and Pervasive Search in Ambient Intelligence. 136-141 - Riken Parekh, Kiran George:
Fractal Base Antennas Effects on Wi-Fi Harvesting Technologies. 142-147 - Wei Dai, Daniel Berleant:
Benchmarking Contemporary Deep Learning Hardware and Frameworks: A Survey of Qualitative Metrics. 148-155 - Asaad Algarni, Kenneth Magel:
Applying Software Design Metrics to Developer Story: A Supervised Machine Learning Analysis. 156-159 - Tarek F. Abdelzaher:
On Urban Event Tracking from Online Media: A Social Cognition Perspective. 160-167 - Paolo Boldi:
How Network Analysis Can Improve the Reliability of Modern Software Ecosystems. 168-172 - Christin Seifert, Stefanie Scherzinger, Lena Wiese:
Towards Generating Consumer Labels for Machine Learning Models. 173-179 - Joydeep Acharya, Yasutaka Serizawa, Sudhanshu Gaur:
Emerging Technologies: Connecting Millennials and Manufacturing. 180-183 - Bingqian Lu, Jianyi Yang, Lydia Y. Chen, Shaolei Ren:
Automating Deep Neural Network Model Selection for Edge Inference. 184-193 - Dong Wang, Daniel Zhang, Yang Zhang, Md. Tahmid Rashid, Lanyu Shang, Na Wei:
Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge. 194-201 - Yao-Yi Chiang, Yijun Lin, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite, Wei-Shinn Ku:
Building Explainable Predictive Analytics for Location-Dependent Time-Series Data. 202-209 - J. Sukarno Mertoguno:
Toward Autonomy: Symbiotic Formal and Statistical Machine Reasoning. 210-215 - Jered Vroon, Gwenn Englebienne, Vanessa Evers:
Detecting Perceived Appropriateness of a Robot's Social Positioning Behavior from Non-Verbal Cues. 216-225 - Zonyin Shae, Zhi-Ren Tsai, Chi-Yu Chang, Jeffrey J. P. Tsai:
Random Sampling Deep Learning Mechanism for Discovering Unique Property of No Specific Local Feature Images. 226-234 - Zongjing Cao, Hyo Jong Lee:
Improved Res2Net Model for Person re-Identification. 235-240
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