2020 | ||
Monday, August 10th | ||
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12:00 AM |
A Design Science Research to Correct Inherent Biases in Natural Language Applications Jasmin Manseau, Queens University 12:00 AM |
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12:00 AM |
A Design Theoretic Approach for Smarter Advising using Educational Data Mining Caleb Bradberry, Radford University 12:00 AM |
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12:00 AM |
Florian Schwade, University of Koblenz-Landau 12:00 AM |
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12:00 AM |
A Service-based Model for Customer Intelligence in the Age of Big Data Nguyen Anh Khoa Dam, Université du Québec à Trois-Rivières 12:00 AM |
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12:00 AM |
An AI-based ECT Perspective for Voice-Activated Smart Phone Assistants Maarif Sohail, McMaster University 12:00 AM |
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12:00 AM |
An Enhancement of Kohonen Neural Networks for Predictive Analytics: Self-Organizing Prediction Maps Janusz Morajda, Cracow University of Economics 12:00 AM |
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12:00 AM |
Gerald Onwujekwegn, Virginia Commonwealth University 12:00 AM |
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12:00 AM |
Are Anthropomorphic Intelligent Agents More Intelligent? Christopher Haas, Carnegie Mellon University 12:00 AM |
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12:00 AM |
Jan-Gerrit Grotenhermen, University of Muenster 12:00 AM |
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12:00 AM |
Artificially Intelligent (AI) Drones for First Responders Sambhav Gupta, San Jose State University 12:00 AM |
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12:00 AM |
Daniel Soper, California State University, Fullerton 12:00 AM |
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12:00 AM |
Effects of Abilities of Data Analyst Teams and AI Development Madhav Sharma, Oklahoma State University 12:00 AM |
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12:00 AM |
Federated Deep Learning: A Conceptual Model and Applied Framework for Industry 4.0 Samaa Elnagar, Virginia commonwealth university 12:00 AM |
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12:00 AM |
Human-AI Hybrids and Individual Performance in the Context of Enterprise Systems Use Agrim Sachdeva, Indiana University 12:00 AM |
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12:00 AM |
Jim Jenkins, University of North Carolina at Greensboro 12:00 AM |
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12:00 AM |
Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems Jianshan Sun, Hefei University of Technology 12:00 AM |
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12:00 AM |
Multi-Stage Transfer Learning System with Light-weight Architectures in Medical Image Classification Rajesh Godasu, Dakota State University 12:00 AM |
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12:00 AM |
RecTwitter: A Rule-Based Semantic Recommender System for Twitter Users Paulo Roberto de Souza, Federal University of Bahia 12:00 AM |
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12:00 AM |
Kimia Keshanian, MUMA COLLEGE OF BUSINESS 12:00 AM |
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12:00 AM |
The Impact of Artificial Intelligence Investment on Market Value: An Event Study Ariel K. H. Lui, Swinburne University of Technology 12:00 AM |
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12:00 AM |
The Role of AI in Perceptions of Distributive, Procedural, and Interactional Justice Kevin Kim, University of North Texas 12:00 AM |
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12:00 AM |
Toward Voice-Enabled Robotic Advisory for Personalized Wealth Management Nadine Kathrin Ostern, Management Department 12:00 AM |
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12:00 AM |
Towards the Use of Clustering Algorithms in Recommender Systems Leandro Miranda, Fluminense Federal University 12:00 AM |
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12:00 AM |
Value Creation in Connectionist Artificial Intelligence – A Research Agenda Rainer Schmidt, Munich University of Applied Sciences 12:00 AM |
The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions using Artificial Intelligence, computational ontologies, data driven IS, and intelligence related to business and systems including the social web, intelligent systems design, implementation, integration and deployment. An increasing number of artificial intelligence-based systems are being developed in different application domains employing a variety of tools and technologies. This track is intended to increase cross-fertilization of ideas from these areas, share lessons learned and stimulate areas for further research.