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ORCID3rd AI4I 2020: Irvine, CA, USA
- Third International Conference on Artificial Intelligence for Industries, AI4I 2020, Irvine, CA, USA, September 21-23, 2020. IEEE 2020, ISBN 978-1-7281-8701-3
Regular Papers
- Ang Zhu, Rong Li, Zehao Xie:
Machine Learning Prediction of New York Airbnb Prices. 1-5 - Paolo Perico, Juliette Mattioli:
Empowering Process and Control in Lean 4.0 with Artificial Intelligence. 6-9 - Daisuke Miki
, Shi Chen, Kazuyuki Demachi:
Unnatural Human Motion Detection using Weakly Supervised Deep Neural Network. 10-13 - Keisuke Tsunoda, Naoki Arai, Kazuaki Obana:
Estimating Number and Dwell Time of Visitors from CO2 Concentration using Partial Modeling with Variable Time Window. 14-18 - Chowdhury Erfan Shourov, Christopher Paolini:
Laying the Groundwork for Automated Computation of Surrogate Safety Measures (SSM) for Skateboarders and Pedestrians using Artificial Intelligence. 19-22 - Matthew Ciolino, Josh Kalin, David Noever:
The Go Transformer: Natural Language Modeling for Game Play. 23-26 - Florian Jaensch, Alexander Verl:
Virtual Commissioning Simulation as Reinforcement Learning Environment for Robot Cable Handling. 27-31 - Ralf Gulde, Marc Tuscher, Akos Csiszar, Oliver Riedel, Alexander Verl:
Deep Reinforcement Learning using Cyclical Learning Rates. 32-35 - Akos Csiszar, Philipp Hein, Michael Wächter, Alexander Verl, Angelika C. Bullinger:
Towards a user-centered development process of machine learning applications for manufacturing domain experts. 36-39 - Jupiter Bakakeu, Franziska Schäfer, Jörg Franke, Schirin Baer, Hans-Henning Klos, Jörn Peschke:
Reasoning over OPC UA Information Models using Graph Embedding and Reinforcement Learning. 40-47 - Joseph R. Barr, Daniela D'Auria, Fabio Persia:
Telemedicine, Homecare in the Era of COVID-19 & Beyond. 48-51
Short Papers
- Hao Zhou, Byunghyun Jang, Yixin Chen, David Troendle:
Exploring Faster RCNN for Fabric Defect Detection. 52-55 - Juliette Mattioli, Paolo Perico, Pierre-Olivier Robic:
Improve Total Production Maintenance with Artificial Intelligence. 56-59 - Josh Kalin, Matthew Ciolino, David Noever, Gerry V. Dozier:
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. 60-63 - James Obert, Sean Turner, Jason Hamlet:
Graph Theory and IC Component Design Analysis. 64-65
Poster
- Athanasios I. Kyritsis, Michel Deriaz:
A Queue Management Approach for Social Distancing and Contact Tracing. 66-68
Invited Papers
- Stephan Matzka:
Explainable Artificial Intelligence for Predictive Maintenance Applications. 69-74 - Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila:
Variational learning of a shifted scaled Dirichlet model with component splitting approach. 75-78 - Thomas Palazzolo, Ashley Lemke, Sarah Saad, Chencheng Zhang, Sri Padmi Jayanti, John O'Shea, Robert G. Reynolds:
Deepdive: Using AI, Machine Learning, and Virtual Reality to Explore Ancient Submerged Civilizations. 79-82
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