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ORCID30th AI 2017: Edmonton, AB, Canada
- Malek Mouhoub, Philippe Langlais:
Advances in Artificial Intelligence - 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, Edmonton, AB, Canada, May 16-19, 2017, Proceedings. Lecture Notes in Computer Science 10233, 2017, ISBN 978-3-319-57350-2
Data Mining and Machine Learning
- Huizhen Yu, Ashique Rupam Mahmood, Richard S. Sutton:
On Generalized Bellman Equations and Temporal-Difference Learning. 3-14 - Samiul Azam, Marina L. Gavrilova
:
Person Identification Using Discriminative Visual Aesthetic. 15-26 - Rafael Rivera-López, Juana Canul-Reich:
A Global Search Approach for Inducing Oblique Decision Trees Using Differential Evolution. 27-38 - Mohsen Ghazel, Nathalie Japkowicz:
Improving Active Learning for One-Class Classification Using Dimensionality Reduction. 39-44 - Shan Zong, Richard Khoury, Rachid Benlamri:
Local and Global Influence on Twitter. 45-50 - Shruthi Mohan, Apala Guha, Michael Harris, Fred Popowich, Ashley Schuster, Chris Priebe:
The Impact of Toxic Language on the Health of Reddit Communities. 51-56 - Md. Mohaiminul Islam, Rasif Ajwad, Chen Chi, Michael Domaratzki, Yang Wang, Pingzhao Hu:
Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning Model. 57-63 - A. N. K. Zaman, Charlie Obimbo, Rozita A. Dara:
An Improved Data Sanitization Algorithm for Privacy Preserving Medical Data Publishing. 64-70 - Aaron Gerow, Mingyang Zhou, Stan Matwin, Feng Shi:
Reflexive Regular Equivalence for Bipartite Data. 71-77 - Hospice Houngbo, Robert E. Mercer:
Investigating Citation Linkage with Machine Learning. 78-83 - Swati Ganguly, Samira Sadaoui:
Classification of Imbalanced Auction Fraud Data. 84-89 - Payel Sadhukhan, C. A. Murthy:
Multi-label Learning Through Minimum Spanning Tree-Based Subset Selection and Feature Extraction. 90-96 - Rodolfo Garcia, Emerson Cabrera Paraiso, Júlio César Nievola:
Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction. 97-102 - Yi-Chia Tsai, Yu-Da Cheng, Cheng-Wei Wu, Yueh-Ting Lai, Wan-Hsun Hu, Jeu-Yih Jeng, Yu-Chee Tseng:
Time-Dependent Smart Data Pricing Based on Machine Learning. 103-108 - S. Mohammad Mirbagheri, Howard J. Hamilton:
Time Prediction of the Next Refueling Event: A Case Study. 109-114
Planning and Combinatorial Optimization
- Jianmei Guo, Eric Blais, Krzysztof Czarnecki, Peter van Beek:
A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization. 117-128 - Colin Lee, Peter van Beek:
Metaheuristics for Score-and-Search Bayesian Network Structure Learning. 129-141 - Henrique F. Lacerda, Allan R. S. Feitosa, Abel G. Silva-Filho, Wellington P. dos Santos, Filipe R. Cordeiro:
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles. 142-147 - Ge Cui, Chunlin Ma, Xin Wang:
Sequence-Based Bidirectional Merge Map-Matching Algorithm for Simplified Road Network. 148-154 - Vahid Vaezian, James P. Delgrande:
On the Role of Possibility in Action Execution and Knowledge in the Situation Calculus. 155-161 - Shubhashis Kumar Shil, Samira Sadaoui:
Combinatorial Reverse Electricity Auctions. 162-168 - Emre Göynügür, Sara Bernardini, Geeth de Mel, Kartik Talamadupula, Murat Sensoy:
Policy Conflict Resolution in IoT via Planning. 169-175
AI Applications
- Kaveh Hassani, Won-Sook Lee:
Learning Physical Properties of Objects Using Gaussian Mixture Models. 179-190 - Akash Patel, Brigitte Jaumard:
Design and Implementation of a Smart Quotation System. 191-202 - Marc Sarfati, Marc Queudot, Catherine Mancel, Marie-Jean Meurs:
Knowledge Discovery in Graphs Through Vertex Separation. 203-214 - Moslema Jahan, Howard J. Hamilton:
A Knowledge Acquisition System for Price Change Rules. 215-226 - Luiza Antonie, Gary Gréwal, Kris Inwood, Shada Zarti:
Automatic Household Identification for Historical Census Data. 227-232
Natural Language Processing
- Duc-Thuan Vo, Ebrahim Bagheri:
Matrix Models with Feature Enrichment for Relation Extraction. 235-247 - Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini:
Domain Adaptation for Detecting Mild Cognitive Impairment. 248-259 - Yue Gu, Xinyu Li, Shuhong Chen, Jianyu Zhang, Ivan Marsic:
Speech Intention Classification with Multimodal Deep Learning. 260-271 - Tiehang Duan, Sargur N. Srihari:
Layerwise Interweaving Convolutional LSTM. 272-277 - Romualdo Alves Pereira Junior, Diana Inkpen:
Using Cognitive Computing to Get Insights on Personality Traits from Twitter Messages. 278-283 - Victoria Bobicev, Marina Sokolova:
Confused and Thankful: Multi-label Sentiment Classification of Health Forums. 284-289
Uncertainty and Preference Reasoning
- Sultan Ahmed, Malek Mouhoub:
Probabilistic TCP-net. 293-304 - Jhonatan de S. Oliveira, Cory J. Butz, André E. dos Santos:
Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. 305-315 - Matthew Smith, Laurent Charlin, Joelle Pineau:
A Sparse Probabilistic Model of User Preference Data. 316-328 - André E. dos Santos, Cory J. Butz, Jhonatan de S. Oliveira:
On Converting Sum-Product Networks into Bayesian Networks. 329-334 - Aditya Bharadwaj, Sheela Ramanna:
Fuzzy Rough Set-Based Unstructured Text Categorization. 335-340 - Bertrand Sodjahin, Vivekanandan Suresh Kumar, Shawn Lewenza, Shauna Reckseidler-Zenteno:
Bayesian Networks to Model Pseudomonas aeruginosa Survival Mechanism and Identify Low Nutrient Response Genes in Water. 341-347
Agent Systems
- Qingliang Chen, Xiaowei Huang, Kaile Su, Abdul Sattar:
Quantified Coalition Logic of Knowledge, Belief and Certainty. 351-360 - Juan Martínez-Miranda, Matías Alvarado:
Modelling Personality-Based Individual Differences in the Use of Emotion Regulation Strategies. 361-372 - Gabriel Murray:
Stoic Ethics for Artificial Agents. 373-384 - Geoff M. Nagy, John Anderson:
Active Team Management Strategies for Multi-robot Teams in Dangerous Environments. 385-396
Graduate Student Symposium
- Gaojian Fan:
Diverse Action Costs in Heuristic Search and Planning. 399-402 - Sultan Ahmed:
Collaborative Filtering with Users' Qualitative and Conditional Preferences. 403-406 - Sima Sharifirad, Stan Matwin:
Deep Multi-cultural Graph Representation Learning. 407-410 - Tom Lebrun:
Who Is the Artificial Author? 411-415 - Bertrand Sodjahin:
Machine Learning Techniques to Unveil and Understand Pseudomonas aeruginosa Survival Mechanism in Nutrient Depleted Water. 416-420 - Fateha Khanam Bappee:
Identification and Classification of Alcohol-Related Violence in Nova Scotia Using Machine Learning Paradigms. 421-425
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