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33rd AI 2020: Ottawa, ON, Canada
- Cyril Goutte
, Xiaodan Zhu
Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings. Lecture Notes in Computer Science 12109, Springer 2020, ISBN 978-3-030-47357-0 - Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. 1-14 - Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang:
Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection. 15-28 - Mahtab Ahmed
Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer. 29-35 - Valery Anisimovskiy
Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity. 36-48 - Nabil Belacel, Cheng Duan, Diana Inkpen
The K-Closest Resemblance Classifier for Remote Sensing Data. 49-54 - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. 55-66 - Sushrut Bhalla
Deep Multi Agent Reinforcement Learning for Autonomous Driving. 67-78 - Andriy Drozdyuk, Scott Buffett, Michael W. Fleming:
Incremental Sequential Rule Mining with Streaming Input Traces. 79-91 - Jeff Bulmer, Matthew Fritter, Yong Gao, Bowen Hui:
FASTT: Team Formation Using Fair Division. 92-104 - Margarita P. Castro
Empirical Confidence Models for Supervised Machine Learning. 105-117 - Chudamani Aryal, Yllias Chali:
Selection Driven Query Focused Abstractive Document Summarization. 118-124 - Jérémy Charlier, Vladimir Makarenkov:
VecHGrad for Solving Accurately Tensor Decomposition. 125-137 - Robin Cohen, Rishav Raj Agarwal, Dhruv Kumar, Alexandre Parmentier, Tsz Him Leung:
Sensitivity to Risk Profiles of Users When Developing AI Systems. 138-150 - Shainen M. Davidson, Kenton White:
Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter. 151-162 - Simon de Montigny, Philippe Broët:
Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings. 163-169 - Nicholas J. Denis, Danny French, Sébastien Gilbert, Nathalie Japkowicz
A Cost Skew Aware Predictive System for Chest Drain Management. 170-176 - Meryll Dindin, Yuhei Umeda, Frédéric Chazal:
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. 177-188 - Dennis J. Drown, Roger Villemaire, Serge Robert:
Big Players: Emotion in Twitter Communities Tweeting About Global Warming. 189-200 - Karim El Mokhtari
Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes. 201-207 - Mohammad Etemad
Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. 208-219 - Mohammad Etemad
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. 220-231 - Gashin Ghazizadeh, Mirerfan Gheibi, Stan Matwin
CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities. 232-237 - Benyamin Ghojogh
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. 238-250 - Renata S. S. Guizzardi, Glenda Carla Moura Amaral, Giancarlo Guizzardi, John Mylopoulos:
Ethical Requirements for AI Systems. 251-256 - Hamed H. Aghdam, Martin Bouchard, Robert Laganière, Emil M. Petriu, Philip Wort:
A Deep Neural Network for Counting Vessels in Sonar Signals. 257-269 - Xuejun Han:
Partial Label Learning by Entropy Minimization. 270-275 - Stefan Horoi, Victor Geadah, Guy Wolf, Guillaume Lajoie:
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks. 276-282 - Hawre Hosseini, Ebrahim Bagheri:
From Explicit to Implicit Entity Linking: A Learn to Rank Framework. 283-289 - Sara Hosseinzadeh Kassani
Automatic Polyp Segmentation Using Convolutional Neural Networks. 290-301 - Igor Ilic, Berk Görgülü
Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques. 302-308 - Hadi Jahanshahi
Predicting the Number of Reported Bugs in a Software Repository. 309-320 - Mohammad S. Jassas
Evaluation of a Failure Prediction Model for Large Scale Cloud Applications. 321-327 - Nilay Jha, Dhruv Parekh, Malek Mouhoub, Varun Makkar:
Customer Segmentation and Churn Prediction in Online Retail. 328-334 - Nathina Krishnakumar, Tamer Abdou:
Detection and Diagnosis of Breast Cancer Using a Bayesian Approach. 335-341 - Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy X. Huang:
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models. 342-348 - Martin Laville, Mérième Bouhandi, Emmanuel Morin, Philippe Langlais:
Word Representations, Seed Lexicons, Mapping Procedures, and Reference Lists: What Matters in Bilingual Lexicon Induction from Comparable Corpora? 349-355 - Guillaume Le Berre, Philippe Langlais:
Attending Knowledge Facts with BERT-like Models in Question-Answering: Disappointing Results and Some Explanations. 356-367 - Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs:
Machine Learning the Donor Journey. 368-374 - Xiaoyan Li
Exploring Deep Anomaly Detection Methods Based on Capsule Net. 375-387 - Sedigheh Mahdavi, Aijun An, Heidar Davoudi, Marjan Delpisheh, Emad Gohari:
Question-Worthy Sentence Selection for Question Generation. 388-400 - Lucas May Petry, Amílcar Soares Júnior
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. 401-407 - Jonathan Milot
An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction. 408-419 - S. Mohammad Mirbagheri
Similarity Matching of Temporal Event-Interval Sequences. 420-425 - Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim, Marie-Jean Meurs
Classification of Rare Recipes Requires Linguistic Features as Special Ingredients. 426-437 - Fatma Najar, Nizar Bouguila:
Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model. 438-444 - Alexandre Parmentier, Robin Cohen:
Personalized Multi-Faceted Trust Modeling in Social Networks. 445-450 - Michael Roher, Yang Xiang:
Mixing ICI and CSI Models for More Efficient Probabilistic Inference. 451-463 - Shikhar Sakhuja, Robin Cohen:
RideSafe: Detecting Sexual Harassment in Rideshares. 464-469 - Sukhjit Singh Sehra
Amalgamated Models for Detecting Duplicate Bug Reports. 470-482 - Sudipta Singha Roy
Investigating Citation Linkage as a Sentence Similarity Measurement Task Using Deep Learning. 483-495 - Xavier Sumba
Improving Classification Using Topic Correlation and Expectation Propagation. 496-507 - Imtiaz Ullah
A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks. 508-520 - Rong Xiang, Emmanuele Chersoni
Lexical Data Augmentation for Text Classification in Deep Learning. 521-527 - Xinyu Yun, Tanner A. Bohn, Charles X. Ling:
A Deeper Look at Bongard Problems. 528-539 - Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
Adversarial Models for Deterministic Finite Automata. 540-552 - Khalid Moustapha Askia, Marie-Jean Meurs
Personalized Student Attribute Inference. 553-557 - Meetkumar Patel:
Vehicle Traffic Estimation Using Weather and Calendar Data. 558-561 - Maryam Tajeddin
Predicting Aggressive Responsive Behaviour Among People with Dementia. 562-565 - Ayman Yafoz
Towards Analyzing the Sentiments in the Fields of Automobiles and Real-Estates with Specific Focus on Arabic Online Reviews. 566-570
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