Program
At a Glance
Events shown in time zone: Eastern Time - Toronto
For PDT time, please consult the calendar here
Zoom Room 1: https://sfu.zoom.us/j/64644702556
Zoom Room 2: https://sfu.zoom.us/j/62553498329
Zoom webinar (for all keynotes): https://zoom.us/j/91650665548
Open this calendar in a new window
Detailed Program
The proceedings are available in open access on PubPub: https://caiac.pubpub.org/ai2021.
Session 1: Machine Learning (Wednesday 26 May, 11:00 EDT-12:30 EDT)
114 Eye-focused Detection of Bell's Palsy in Videos
104 Using ProtoPNet for Interpretable Alzheimer's Disease Classification
8 Incremental Learning with Self-labeling of Incoming High-dimensional Data
16 Semi-Supervised Time Point Clustering for Multivariate Time Series
52 On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief
73 Estimation of uncertainty bounds on disparate treatment when using proxies for the protected attribute best student paper award
Session 2: Natural Language Processing (Wednesday 26 May, 14:00 EDT-15:00 EDT)
Session 2a (14:00-14:30)
28 Direct Answer Threshold Optimization in Dialogue Systems
63 An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data
64 On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings
81 Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games
Session 2b (14:30-15:00)
85 Transfer Learning and Language Model Adaptation for Low Resource Speech Recognition
87 Enhancing Pretrained Models with Domain Knowledge
91 Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction
97 Semantic Similarity Matching Using Contextualized Representations
Session 3: Data Mining/ Social Networks/ Applications (Wednesday 26 May, 15:00 EDT-16:30 EDT)
98 Product Matching Lessons and Recommendations from a Real World Application
4 Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations
55 Neural Network Architectures and Feature Extraction for Lumber Prediction
118 A BERT-based transfer learning approach to text classification on software requirements specifications
39 Leveraging semantic for community mining in multilayer networks
61 A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions
Session 4: Artificial Intelligence/ Machine Learning (Thursday 27 May, 12:00-12:55 EDT)
Session 4a (12:00-12:30)
15 Descriptive Image Captioning with Salient Retrieval Priors
31 Improved Trust Establishment Performance with Transaction-based Preprocessing
40 HEAL: Heterogeneous Ensemble and Active Learning Framework
54 Hierarchical Reinforcement Learning for Vehicle Routing Problems with Time Windows
Session 4b (12:30-12:55)
77 PyFed: extending PySyft with N-IID Federated Learning Benchmark
79 Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection
101 The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions
Session 5: Machine Learning/ Deep Learning (Thursday 27 May, 14:30-16:00 EDT)
6 Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels
33 Understanding Capacity Saturation in Incremental Learning
34 Encoding Dependency Information inside Tree Transformer
56 EASTER: Simplifying Text Recognition using only 1D Convolutions
62 Detection and Identification of Obfuscated Obscene Language with Character Level Transformers
66 Driving Scene Understanding: How much temporal context and spatial resolution is necessary?
Session 6: Natural Language Processing (Thursday 27 May, 16:00-17:30 EDT)
72 A modularized framework for explaining hierarchical attention networks on text classifiers
86 Sentiment Analysis with Cognitive Attention Supervision
90 Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion
96 Class-wise Calibration: A Case Study on COVID-19 Hate Speech best paper award
108 Leveraging Textual Similarity to Predict Beck Depression Inventory Answers
109 Position Encoding Schemes for Linear Aggregation of Word Sequences
Session 7 Planning / Reinforcement Learning (Friday 28 May, 11:00-12:30 EDT)
10 Tracking agitation in people living with dementia in a care environment
49 ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles
32 Planning for Connected Agents in a Partially Known Environment
45 Active Measure Reinforcement Learning for Observation Cost Minimization
78 General Deep Reinforcement Learning in NES Games
94 AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning
Session 8 Health/Applications (Friday 28 May, 15:00-16:00 EDT)
Session 8a (15:00-15:30)
42 Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis
43 A Simple and Interpretable Predictive Model for Healthcare
58 Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays
93 Topic Modeling in Embedding Spaces for Depression Assessment
Session 8b (15:30-16:00)
107 Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects
110 Topic Models for Assessment of Mental Health Issues
111 Named Entity Recognition on Software Requirements Specification Documents
119 A Computational Method for Histological Bone Research using Convolutional Neural Networks
