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ORCID31st AI 2018: Toronto, ON, Canada
- Ebrahim Bagheri, Jackie Chi Kit Cheung:
Advances in Artificial Intelligence - 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8-11, 2018, Proceedings. Lecture Notes in Computer Science 10832, Springer 2018, ISBN 978-3-319-89655-7
Long Papers
- Yang Xiang, Benjamin Baird:
Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy. 3-16 - Yang Xiang, Dylan Loker:
De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency. 17-30 - Negar Hassanpour, Russell Greiner:
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits. 31-44 - Alberto Camacho, Jorge A. Baier, Christian J. Muise, Sheila A. McIlraith:
Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-deterministic Planning. 45-59 - Yingcong Tan, Daria Terekhov:
Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines. 60-71 - Rodrigo Toro Icarte
, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith:
Advice-Based Exploration in Model-Based Reinforcement Learning. 72-83 - Steven Young, Tamer Abdou, Ayse Bener:
Deep Super Learner: A Deep Ensemble for Classification Problems. 84-95 - Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova:
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. 96-107 - Hamman Samuel, Osmar R. Zaïane:
MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning. 108-120 - Laurent Jakubina, Philippe Langlais:
Reranking Candidate Lists for Improved Lexical Induction. 121-132 - Antoine Briand, Hayda Almeida, Marie-Jean Meurs:
Analysis of Social Media Posts for Early Detection of Mental Health Conditions. 133-143 - M. M. Manjurul Islam, Jong-Myon Kim:
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal. 144-155 - Tamarafinide V. Dittimi, Ching Y. Suen:
Mobile App for Detection of Counterfeit Banknotes. 156-168 - Wasif Khan, Robin Cohen:
A Multiagent Framework for Understanding Addiction. 169-180 - Chao Bian, Shehroz S. Khan, Alex Mihailidis:
Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour. 181-193 - Chris Drummond:
An Incremental Machine Learning Algorithm for Nuclear Forensics. 194-207
Short Papers
- Nuha Zamzami, Nizar Bouguila:
MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models. 211-217 - Aliakbar Gorji Daronkolaei, Amir Hajian, Tonya Custis:
Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints. 218-223 - Behrouz Haji Soleimani, Stan Matwin:
Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding. 224-230 - M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang, Masoud Ataei:
Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. 231-238 - Aaron Hunter:
Learning Belief Revision Operators. 239-245 - Mahdi Bidar, Malek Mouhoub, Samira Sadaoui, Mohsen Bidar:
Solving Constraint Satisfaction Problems Using Firefly Algorithms. 246-252 - Maayan Shvo, Shirin Sohrabi, Sheila A. McIlraith:
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem. 253-258 - Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. 259-264 - Ashwin Panchapakesan, Rami S. Abielmona, Rafael Falcon, Emil M. Petriu:
Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations. 265-271 - Jiaying You, Md. Mohaiminul Islam, Liam Grenier, Qin Kuang, Robert D. McLeod, Pingzhao Hu:
Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model. 272-278 - Karol Lina López Bedoya, Christian Gagné:
Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming. 279-284 - Sriram Ganapathi Subramanian, Mark Crowley:
Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. 285-291 - Milton King, Dima Alhadidi, Paul Cook:
Text-Based Detection of Unauthorized Users of Social Media Accounts. 292-297 - Magdalena Jankowska, Colin Conrad, Jabez Harris, Vlado Keselj:
N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks. 298-303 - Peng Xu, Denilson Barbosa:
Matching Résumés to Job Descriptions with Stacked Models. 304-309 - Ala'a Alslaity, Thomas Tran:
Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach. 310-315 - Tao Chen, Jeffrey Parsons:
A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis. 316-321 - Saeede Sadat Asadi Kakhki, Can Kavaklioglu, Ayse Bener:
Topic Detection and Document Similarity on Financial News. 322-328
Graduate Student Symposium Papers
- Ross MacDonald:
Software Defect Prediction from Code Quality Measurements via Machine Learning. 331-334 - Yingcong Tan:
Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning. 335-338 - Tanya Monga:
Estimating Vineyard Grape Yield from Images. 339-343 - Zhaoyang Huang:
Real-Time Deep Learning Pedestrians Classification on a Micro-Controller. 344-350 - Ala'a Alslaity:
A Unified Evaluation Framework for Recommenders. 351-354 - Laura McCrackin:
Early Detection of Alzheimer's Disease Using Deep Learning. 355-359 - Matthew C. Dirks:
Learning with Prior Domain Knowledge and Insufficient Annotated Data. 360-363
Industry Track
- Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin:
Predicting Crime Using Spatial Features. 367-373 - Dan Russell, Aaron Hunter:
A Tool for Defining and Simulating Storage Strategies on the Smart Grid. 374-380 - Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley:
Decision Assist for Self-driving Cars. 381-387 - Abbas Taher:
Rule Mining and Prediction Using the Flek Machine - A New Machine Learning Engine. 388-393
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