|
|||
Papers Accepted for the Technical StreamBest Technical Paper
Harnessing Background Knowledge for E-learning Recommendation Other Technical papers (Oral Presentation) Session T1: Knowledge Discovery and Data Mining
Category-Driven Association Rule Mining
A Comparative Study of SAT-Based Itemsets Mining
Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes Session T2: Sentiment Analysis and Recommendation
Emotion-corpus guided Lexicons for Sentiment Analysis on Twitter
Context-aware Sentiment Detection From Ratings
Recommending with Higher-Order Factorization Machines Session T3: Machine Learning
Multitask Learning for Text Classification with Deep Neural Networks
An Investigation on Online versus Batch Learning in Predicting User Behaviour
A neural network test of the expert attractor hypothesis: Chaos theory accounts for individual variance in learning Session T4A: AI Techniques I
3Dana: Path Planning on 3D surfaces Session T4B: AI Techniques II
A Fast Algorithm to Estimate the Square Root of Probability Density Function Session T5: Natural Language Processing
Covert Implementations of the Turing Test: A More Level Playing Field?
Context-dependent Pattern Simplification by Extracting Context-free Floating Qualifiers Short Papers Accepted for Technical Stream (poster presentation)
Experiments With High Performance Genetic Programming for Classification Problems
Towards Expressive Modular Rule Induction for Numerical Attributes
OPEN: New Path-Planning Algorithm for Real-World Complex Environment
Encoding Medication Episodes for Adverse Drug Event Prediction
| |||
|