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ORCIDICCC 2018: San Francisco, CA, USA
- Jeffrey Tsai, Ernesto Damiani, Xiaoqing (Frank) Liu, Incheon Paik:
2018 IEEE International Conference on Cognitive Computing, ICCC 2018, San Francisco, CA, USA, July 2-7, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-7241-9
Regular Papers
Session 1: Cognitive Computing Using Deep Learning
- Divam Gupta, Indira Sen, Niharika Sachdeva, Ponnurangam Kumaraguru, Arun Balaji Buduru
:
Empowering First Responders through Automated Multimodal Content Moderation. 1-8 - Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee:
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. 9-16 - Harshitha Bura, Nathan Lin, Naveen Kumar, Sangram Malekar, Sushma Nagaraj, Kaikai Liu:
An Edge Based Smart Parking Solution Using Camera Networks and Deep Learning. 17-24
Session 2: Cognitive Computing Applications
- Ganapathy Mani, Bharat K. Bhargava, Basavesh Shivakumar:
Incremental Learning through Graceful Degradations in Autonomous Systems. 25-32 - Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina, Kokou Yétongnon, Carlos Raymundo Ibañez, Christian Kallas:
Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms. 33-40 - Ahmed Al Dhanhani, Ernesto Damiani, Rabeb Mizouni, Di Wang:
Analysis of Shapelet Transform Usage in Traffic Event Detection. 41-48
Session 3: Data Analytics and Cognition
- Deyu Deng, Carson K. Leung, Bryan H. Wodi, Jialiang Yu, Hao Zhang, Alfredo Cuzzocrea:
An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining. 49-56 - Joseph Sirrianni, Xiaoqing Liu, Douglas Adams:
Quantitative Modeling of Polarization in Online Intelligent Argumentation and Deliberation for Capturing Collective Intelligence. 57-64 - Kimberley Hemmings-Jarrett, Julian Jarrett, M. Brian Blake:
(WKSP) Sentiment Analysis of Twitter Samples That Differentiates Impact of User Participation Levels. 65-72
Work-in-Progress Papers
Session 1: Learning, Intelligence, and Their Applications
- Patrick Neary:
Automatic Hyperparameter Tuning in Deep Convolutional Neural Networks Using Asynchronous Reinforcement Learning. 73-77 - Federico Buffoni, Gabriele Gianini, Ernesto Damiani, Michael Granitzer:
All-Implicants Neural Networks for Efficient Boolean Function Representation. 82-86 - Rajath Swaroop Mulky, Supradeep Koganti, Sneha Shahi, Kaikai Liu:
Autonomous Scooter Navigation for People with Mobility Challenges. 87-90 - Ahmed Abdelmoamen:
A Modular Approach to Programming Multi-Modal Sensing Applications. 91-98 - Christopher Bellman, Miguel Vargas Martin, Shane MacDonald:
(WKSP) On the Potential of Data Extraction by Detecting Unaware Facial Recognition with Brain-Computer Interfaces. 99-105
Session 2: Data Mining for Cognition
- Ralph Abboud, Joe Tekli:
MUSE Prototype for Music Sentiment Expression. 106-109 - George Salloum, Elie Semaan, Joe Tekli:
PIN Prototype for Intelligent Nutrition Assessment and Meal Planning. 110-113 - Pei-Chun Lin, Nureize Arbaiy:
A Novel Classifier for a Kansei Recommender System. 114-117 - Labiblais Rahman, Katsunori Oyama:
Long-Term Monitoring of NIRS and EEG Signals for Assessment of Daily Changes in Emotional Valence. 118-121 - Kazuki Omine, Incheon Paik:
Classification of Taxonomical Relationship by Word Embedding. 122-125 - Hana Lee, Young Yoon:
Interest Recognition from Online Instant Messaging Sessions Using Text Segmentation and Document Embedding Techniques. 126-129
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