Artificial Intelligence and Semantic Technologies for Intelligence Systems (SIG ODIS)

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.

Track Chairs:
Don Heath, University of Wisconsin Oshkosh drheath2@gmail.com

Schedule
2021
Monday, August 9th
12:00 AM

A Concept of FLOPM: Neural Maps with Floating Nodes for Classification and Prediction

Janusz Morajda, Cracow University of Economics
Grażyna Paliwoda-Pękosz, Cracow University of Economics

12:00 AM

A Cost-Based Fraud Detection System for Financial Sector

Mehmet AKGUL, McMaster University

12:00 AM

A Differentiation Between the Concepts of Image Mining and Computer Vision

Sebastian Trinks, TU Bergakademie Freiberg

12:00 AM

AI Controlling AI? A Potentially Dystopian View of Automatic Systems

Jingyao Li, Bentley University
Marco Marabelli, Bentley University

12:00 AM

An Adaptive Systems Approach to Clinical Performance During the COVID-19 Pandemic

Jayson Killoran, Queen's University

12:00 AM

Consequences of Adversarial Machine Learning (AML) Attack on Text Classifier in Altering Interpretation of Drug Experience in Drug Reviews & Potential Public Health Risk

Sabbir Pervez, Manabik Sahajjo Sangstha
Shabnam Nahar, Jahangirnagar University
A. F. Salam, UNC Greensboro

12:00 AM

Detecting Emotional Distress from Text

Michael Chau, The University of Hong Kong
Melody M. Chao, The Hong Kong University of Science and Technology
Wu Liu, The Hong Kong Polytechnic University

12:00 AM

Does AI Reliance lead to Performance? A Task-Technology Fit Theory Perspective

Spurthy Dharanikota, Florida International University
George M. Marakas, Florida International University

12:00 AM

Explainable Artificial Intelligence in the Medical Domain: A Systematic Review

Shuvro Chakrobartty, Dakota State University
Omar El-Gayar, Dakota State University

12:00 AM

Factors influencing consumer purchase behavior toward live streaming commerce

Yen-Hao Hsieh, National Formosa University
XinYun Zhuo, Tamkang University

12:00 AM

Grand Research Challenges Facing Ethically Aligned Artificial Intelligence

Abdelnasser Abdel-Aal, King Faisal University

12:00 AM

idea-AI: Developing a Method for the Systematic Identification of AI Use Cases

Matthias Brunnbauer, University of Applied Sciences Mainz
Gunther Piller, University of Applied Sciences Mainz
Franz Rothlauf, Johannes Gutenberg-Universität Mainz

12:00 AM

Interpretable Models & Metabehaviors: A Proposed Study of Microlending

Kelly Slaughter, TCU
David Preston, Texas Christian University

12:00 AM

Is AI Better Than Human in Identifying High-Potential Talents: A Quasi-Field Experiment

Yihang Cheng, College of Management and Economics, Tianjin University
Xi Zhang, Tianjin University
Xinlin Tang, College of Business
Hengshu Zhu, Baidu Inc

12:00 AM

Machine Learning-based Systems for Supplier Evaluation and Selection in New Zealand SMEs

Abid Shahzad, ICL Education Group
Tran Thi Giac Duyen, ICL Graduate Business School

12:00 AM

Research Agenda for Basic Explainable AI

Roman Lukyanenko, HEC Montreal
Arturo Castellanos, Baruch College (CUNY)
Binny Samuel, University of Cincinnati
Monica Tremblay, The College of William and Mary
Wolfgang Maass, German Research Center for Artificial Intelligence (DFKI)

12:00 AM

Resolving the Dichotomy of Human and Machine Intelligence in Auditing Practices

Shaimaa Salah Abbas Mohamed, Qatar University
Karma Samir Sherif, Qatar University

12:00 AM

Studies on the Accuracy of Ensembles of Cloud-Based Technologies for Sentiment Analysis

Arthur Carvalho, Miami University
Jiaozhe Xu, Miami University

12:00 AM

Success Factors for the Adoption of Artificial Intelligence in Organizations: A Literature Review

Pascal Hamm, EBS University
Michael Klesel, University of Twente

12:00 AM

The Relationship between Rating Inconsistency and Review Helpfulness: The Moderating Effect of Review Length

Yuqiu Wang, Nankai University, China
Kai Li, Nankai University, China

12:00 AM

Towards a Semi-Automated Approach for Systematic Literature Reviews

Tim Denzler, Friedrich-Alexander-University Erlangen-Nuremberg
Martin Robert Enders, Friedrich-Alexander-University Erlangen-Nuremberg
Patricia Akello, University of Texas

12:00 AM

Trust in AI and Intelligent Systems: Central Core of the Design of Intelligent Systems

A. F. Salam, UNC Greensboro
Sabbir Pervez, Manabik Sahajjo Sangstha
Shabnam Nahar, Jahangirnagar University

12:00 AM

Unboxing the Algorithm: A Process Model of an Algorithmic Solution

Marta Stelmaszak, Portland State University

12:00 AM

Understanding the Public Sentiment and Discourse on COVID-19 Vaccine

Kruttika Sutrave, Dakota State University
Rajesh Godasu, Dakota State University
Jun Liu, Dakota State University

12:00 AM

Using Self-Play within Deep Q Learning to improve real-time Production Scheduling

Michael Groth, University of Goettingen
Pascal Freier, University of Goettingen
Matthias Schumann, University of Goettingen

12:00 AM