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1st AI4I 2018: Laguna Hills, CA, USA
- First International Conference on Artificial Intelligence for Industries, AI4I 2018, Laguna Hills, CA, USA, September 26-28, 2018. IEEE 2018, ISBN 978-1-5386-9209-7
- James Obert, Tom J. Mannos:
Semi-Supervised Learning and ASIC Path Verification. 1-4 - Chia-Ruei Liu, Li-Hua Duan, Po-Wei Chen, Chao-Chun Yang:
Monitoring Machine Tool Based on External Physical Characteristics of the Machine Tool Using Machine Learning Algorithm. 5-8 - Gian Antonio Susto
, Matteo Terzi
A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. 9-14 - Rua Alsuroji, Nizar Bouguila, Nuha Zamzami
Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution. 15-18 - Dario Cogliati, Mirko Falchetto, Danilo Pau
Intelligent Cyber-Physical Systems for Industry 4.0. 19-22 - Louis B. Rosenberg, Gregg Willcox, David A. Askay
Amplifying the Social Intelligence of Teams Through Human Swarming. 23-26 - Ryota Shimizu, Kosuke Asako, Hiroki Ojima, Shohei Morinaga, Mototsugu Hamada, Tadahiro Kuroda:
Balanced Mini-Batch Training for Imbalanced Image Data Classification with Neural Network. 27-30 - Nuha Zamzami
Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks. 31-34 - Javad Rouzafzoon, Petri Helo
Developing Logistics and Supply Chain Management by Using Agent-Based Simulation. 35-38 - Jérôme Mendes
Intelligent Controller for Industrial Processes Applied to a Distributed Two-Tank System. 39-43 - Yu-Wei Wen
Designing Facility Layouts with Hard and Soft Constraints by Evolutionary Algorithm. 44-47 - Márcio Ferreira Moreno, Rodrigo C. M. Santos, Reinaldo Mozart Da Gama e Silva, Wallas Henrique S. dos Santos, Renato Cerqueira:
Assisting Seismic Image Interpretations with Hyperknowledge. 48-51 - Jake Fitzsimmons, Pablo Moscato:
Symbolic Regression Modeling of Drug Responses. 52-59 - Athanasios I. Kyritsis, Geoffrey Willems, Michel Deriaz, Dimitri Konstantas:
Gait Recognition with Smart Devices Assisting Postoperative Rehabilitation in a Clinical Setting. 60-64 - Ayhan Demiriz
Used Car Pricing and Beyond: A Survival Analysis Framework. 65-68 - Jonas Stricker, Benno Koeppl, Andi Buzo
Efficient Simulative Pass/Fail Characterization Applied to Automotive Power Steering. 69-72 - Xinyuan Huang, Amit Kumar Saha
Kubebench: A Benchmarking Platform for ML Workloads. 73-76 - Florian Jaensch, Akos Csiszar, Annika Kienzlen, Alexander Verl:
Reinforcement Learning of Material Flow Control Logic Using Hardware-in-the-Loop Simulation. 77-80 - Xiao Yue, Guangzhi Qu, Bo Liu, Anyi Liu:
Detection Sound Source Direction in 3D Space Using Convolutional Neural Networks. 81-84 - Brian Beaton:
The Moat Effects of Data Swamps. 85-88 - Daniela D'Auria, Fabio Persia:
Design of a Framework Allowing Researchers to Optimize Their Academic Evaluation. 89-91 - Nikhil Nigam, Sanjay Lall
Sufficient Statistics for Optimal Decentralized Control in System of Systems. 92-95 - Zijun Han, Guangzhi Qu, Bo Liu, Anyi Liu, Weihua Cai, Dona Burkard:
Genetic Algorithm Based Parallelization Planning for Legacy Real-Time Embedded Programs. 96-99 - Joseph R. Barr, Peter Shaw
AI Application to Data Analysis, Automatic File Processing. 100-105 - Jun Jo, Yong Oh Lee, Jongwoon Hwang:
Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals. 106-107 - Vinod Muthusamy, Aleksander Slominski
Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications. 108-109 - Stephan Matzka
Using Process Quality Prediction to Increase Resource Efficiency in Manufacturing Processes. 110-111 - Zhu Zhou, Tong Zhang:
Applying Machine Learning to Service Assurance in Network Function Virtualization Environment. 112-115 - Debojyoti Dutta, Amit Kumar Saha
Towards #consistentAI Position Paper. 116-117 - Marcelo Nery, Rodrigo C. M. Santos, Wallas H. S. dos Santos, Vítor Lourenço, Márcio Ferreira Moreno:
Facing Digital Agriculture Challenges with Knowledge Engineering. 118-119 - Joseph R. Barr:
Machine Learning, A Tutorial with R. 120-121 - Amit Chakraborty:
Image Processing and Image Pattern Recognition a Programming Tutorial. 122-123 - David Ostrowski:
Artificial Intelligence with Big Data. 125-126 - Vagelis Hristidis:
Chatbot Technologies and Challenges. 126 - Peter Shaw
Combinatorial Algorithms in Machine Learning. 127-128
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