Program
At a glance
Many of the conference's events will be held at Queen's University's Sterling Hall.
Detailed Program
List of accepted papers for the conference.
Full papers
Categorizing Emails Using Machine Learning with Textual Features
Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction
Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions
Exploiting Symmetry of Independence in d-Separation
Personality Extraction Through LinkedIn
Solving Influence Diagrams with Simple Propagation
Uncertain Evidence for Probabilistic Relational Models
Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means
TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation
Automatically Learning a Human-Resource Ontology from Professional Social-Network Data
Efficient Transformer-Based Sentence Encoding for Sentence Pair Modelling
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning
Hybrid Temporal Situation Calculus
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
Identifying Misaligned Spans in Parallel Corpora Using Change Point Detection
In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning
Options in Multi-task Reinforcement Learning - Transfer via Reflection
The Invisible Power of Fairness. How Machine Learning Shapes Democracy
Maize Insects Classification Through Endoscopic Video Analysis
Collaborative Clustering Approach Based on Dempster-Shafer Theory for Bag-of-Visual-Words Codebook Generation
Memory-Efficient Backpropagation for Recurrent Neural Networks
A Behavior-Based Proactive User Authentication Model Utilizing Mobile Application Usage Patterns
Sparseout: Controlling Sparsity in Deep Networks
Crowd Prediction Under Uncertainty
Optimized Random Walk with Restart for Recommendation Systems
Inter and Intra Document Attention for Depression Risk Assessment
Short papers
A Shallow Learning - Reduced Data Approach for Image Classification
Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data
Towards Causal Analysis of Protocol Violations
Lexicographic Preference Trees with Hard Constraints
Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
Lifted Temporal Maximum Expected Utility
Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks
Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections
Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples
Self-training for Cell Segmentation and Counting
Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference
An Experiment for Background Subtraction in a Dynamic Scene
Machine Translation on a Parallel Code-Switched Corpus
Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes
A Deep Learning Approach for Diagnosing Long QT Syndrome Without Measuring QT Interval
Learning Career Progression by Mining Social Media Profiles
Toward a Conceptual Framework for Understanding AI Action and Legal Reaction
Unsupervised Sentiment Analysis of Objective Texts
Efficient Sequence Labeling with Actor-Critic Training
Detecting Depression from Voice
A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery
A Generic Evolutionary Algorithm for Efficient Multi-Robot Task Allocations
Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum
Fully End-To-End Super-Resolved Bone Age Estimation
Name2Vec: Personal Names Embeddings
Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data
Semantic Roles: Towards Rhetorical Moves in Writing About Experimental Procedures
Compression Improves Image Classification Accuracy
Predicting Commentaries on a Financial Report with Recurrent Neural Networks
Applications of Feature Selection Techniques on Large Biomedical Datasets
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment
Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks
Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study
Graduate student symposium papers
Principal Sample Analysis for Data Ranking
Discrete-Event Systems for Modelling Decision-Making in Human Motor Control
Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network
A Framework for Determining Effective Team Members Using Evolutionary Computation in Dynamic Social Networks
Generating Accurate Virtual Examples for Lifelong Machine Learning
Towards a Novel Data Representation for Classifying Acoustic Signals
Safe Policy Learning with Constrained Return Variance
Artificial Intelligence-Based Latency Estimation for Distributed Systems
Industry track papers
Exploring Optimal Trading Rules in a High-Frequency Portfolio
Auto-Adaptive Learning for Life Science Knowledge
Credit Card Delinquency, Who to Contact? A Machine Learning Based Approach
Extending Recent Advancements in Reinforcement Learning to High Frequency Trading in the Canadian Equities Market
