Generative Adversarial Network: Use of Non-IID Samples
Canadian Conference on Artificial Intelligence
Generative Adversarial Network: Use of Non-IID Samples
16:21
Session 4: Knowledge Representation
Canadian Conference on Artificial Intelligence
Session 4: Knowledge Representation
1:09:42
Estimating Depression and Suicide Ideation Levels from Social Media for the Canadian Population
Canadian Conference on Artificial Intelligence
Estimating Depression and Suicide Ideation Levels from Social Media for the Canadian Population
1:00:05
Session 5: Neural Nets and Deep Learning & Session 6: AI Applications
Canadian Conference on Artificial Intelligence
Session 5: Neural Nets and Deep Learning & Session 6: AI Applications
1:52:03
Vehicle and Workflow Autonomy
Canadian Conference on Artificial Intelligence
Vehicle and Workflow Autonomy
27:25
Developing competencies of robots through 3D sensing and artificial intelligence
Canadian Conference on Artificial Intelligence
Developing competencies of robots through 3D sensing and artificial intelligence
29:33
Conference on Robots and Vision 2022
Canadian Conference on Artificial Intelligence
Conference on Robots and Vision 2022
2:08:18
Session 1: Uncertainty
Canadian Conference on Artificial Intelligence
Session 1: Uncertainty
49:17
Building Data Equity Systems
Canadian Conference on Artificial Intelligence
Building Data Equity Systems
1:22:35
Oral Session 2: Planning and Control
Canadian Conference on Artificial Intelligence
Oral Session 2: Planning and Control
55:48
Is Differential Privacy a Silver Bullet for ML?
Canadian Conference on Artificial Intelligence
Is Differential Privacy a Silver Bullet for ML?
1:09:30
Conference on Robotics and Vision 2022
Canadian Conference on Artificial Intelligence
Conference on Robotics and Vision 2022
2:40:45
Session 2: Security & Session 3: Natural Language Processing
Canadian Conference on Artificial Intelligence
Session 2: Security & Session 3: Natural Language Processing
3:34:42
Hitting two birds with one stone : using a dialog system model for automated email answering
Canadian Conference on Artificial Intelligence
Hitting two birds with one stone : using a dialog system model for automated email answering
14:40
Applying Trustworthy AI in Banking
Canadian Conference on Artificial Intelligence
Applying Trustworthy AI in Banking
12:21
Do we really need deep learning for demand forecasting?
Canadian Conference on Artificial Intelligence
Do we really need deep learning for demand forecasting?
17:07
Session 7: Data mining for maritime and biomedical data
Canadian Conference on Artificial Intelligence
Session 7: Data mining for maritime and biomedical data
2:10:04
Session 8: Agent Systems and Robotics
Canadian Conference on Artificial Intelligence
Session 8: Agent Systems and Robotics
1:10:37
Session 9: AI Ethics
Canadian Conference on Artificial Intelligence
Session 9: AI Ethics
1:42:00
AI you can Bank on
Canadian Conference on Artificial Intelligence
AI you can Bank on
1:30:49
Using ML Algorithms to Predict the Effects of Substituents on Molecular Properties and Structures
Canadian Conference on Artificial Intelligence
Using ML Algorithms to Predict the Effects of Substituents on Molecular Properties and Structures
10:03
Prediction of Host-Pathogen RNA Interaction From RNA-seq and Dual DNA-seq Data using VAC
Canadian Conference on Artificial Intelligence
Prediction of Host-Pathogen RNA Interaction From RNA-seq and Dual DNA-seq Data using VAC
8:35
Automatic Detection of Behaviors of Risk in People with Dementia using Unsupervised Deep Learning
Canadian Conference on Artificial Intelligence
Automatic Detection of Behaviors of Risk in People with Dementia using Unsupervised Deep Learning
7:52
An Analysis of Geometric and Kinematic Descriptors in Classification of Trajectories
Canadian Conference on Artificial Intelligence
An Analysis of Geometric and Kinematic Descriptors in Classification of Trajectories
12:13
Deep Convolutional Neural Network for Molecular Energy Prediction
Canadian Conference on Artificial Intelligence
Deep Convolutional Neural Network for Molecular Energy Prediction
10:00
Graduate Student Symposium: Introduction
Canadian Conference on Artificial Intelligence
Graduate Student Symposium: Introduction
5:47
Graduate Student Symposium: Best MSc award Shivam Garg
Canadian Conference on Artificial Intelligence
Graduate Student Symposium: Best MSc award Shivam Garg
16:26
Graduate Student Symposium: Best MSc Award Amin Bigdeli
Canadian Conference on Artificial Intelligence
Graduate Student Symposium: Best MSc Award Amin Bigdeli
23:40
Artificial intelligence, human oversight, and public policies: facial recognition
Canadian Conference on Artificial Intelligence
Artificial intelligence, human oversight, and public policies: facial recognition
14:11
Canadian AI Industry Track 2020
Canadian Conference on Artificial Intelligence
Canadian AI Industry Track 2020
1:35:08
AI 2020 Award Session and Closing
Canadian Conference on Artificial Intelligence
AI 2020 Award Session and Closing
1:49:59
AI2020-Keynote#3 - Csaba Szepesvári
Canadian Conference on Artificial Intelligence
AI2020-Keynote#3 - Csaba Szepesvári
57:23
AI2020-Keynote#2: Giuseppe Carenini on Discourse Parsing
Canadian Conference on Artificial Intelligence
AI2020-Keynote#2: Giuseppe Carenini on Discourse Parsing
1:07:29
Replay of Tutorial on Reinforcement Learning - Pierre-Luc Bacon
Canadian Conference on Artificial Intelligence
Replay of Tutorial on Reinforcement Learning - Pierre-Luc Bacon
2:14:52
Tutorial on Reinforcement Learning - Pierre-Luc Bacon
Canadian Conference on Artificial Intelligence
Tutorial on Reinforcement Learning - Pierre-Luc Bacon
2:14:37
AI2020-Keynote#1 - Pascal Poupart
Canadian Conference on Artificial Intelligence
AI2020-Keynote#1 - Pascal Poupart
1:01:06
Improving classification using topic correlation and Expectation Propagation
Canadian Conference on Artificial Intelligence
Improving classification using topic correlation and Expectation Propagation
17:08
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Network
Canadian Conference on Artificial Intelligence
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Network
18:59
From Explicit to Implicit Entity Linking: A Learn to Rank Framework
Canadian Conference on Artificial Intelligence
From Explicit to Implicit Entity Linking: A Learn to Rank Framework
9:25
Attending knowledge facts with BERT-like models in Question-Answering : disappointing results and
Canadian Conference on Artificial Intelligence
Attending knowledge facts with BERT-like models in Question-Answering : disappointing results and
19:51
Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings
Canadian Conference on Artificial Intelligence
Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings
9:06
Big Players: Emotion in Twitter Communities Tweeting about Global Warming
Canadian Conference on Artificial Intelligence
Big Players: Emotion in Twitter Communities Tweeting about Global Warming
18:03
Happiness Analysis with Fisher information of Dirichlet-multinomial mixture model
Canadian Conference on Artificial Intelligence
Happiness Analysis with Fisher information of Dirichlet-multinomial mixture model
9:16
Anomaly Detection and Prototype Selection Using Polyhedron Curvature
Canadian Conference on Artificial Intelligence
Anomaly Detection and Prototype Selection Using Polyhedron Curvature
19:46
Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter
Canadian Conference on Artificial Intelligence
Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter
19:48
Selection Driven Query Focused Abstractive Document Summarization
Canadian Conference on Artificial Intelligence
Selection Driven Query Focused Abstractive Document Summarization
10:02
Evaluation of A Failure Prediction Model for Large Scale Cloud Applications
Canadian Conference on Artificial Intelligence
Evaluation of A Failure Prediction Model for Large Scale Cloud Applications
10:20
Classification of Rare Recipes Requires Linguistic Features as Special Ingredients
Canadian Conference on Artificial Intelligence
Classification of Rare Recipes Requires Linguistic Features as Special Ingredients
16:21
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with
Canadian Conference on Artificial Intelligence
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with
9:02
Lexical Data Augmentation for TextClassification in Deep Learning
Canadian Conference on Artificial Intelligence
Lexical Data Augmentation for TextClassification in Deep Learning
10:46
An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip
Canadian Conference on Artificial Intelligence
An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip
18:41
RideSafe: Detecting Sexual Harassment in Rideshares
Canadian Conference on Artificial Intelligence
RideSafe: Detecting Sexual Harassment in Rideshares
8:06
Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity
Canadian Conference on Artificial Intelligence
Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity
13:34
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks
Canadian Conference on Artificial Intelligence
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks
18:41
Automatic Polyp Segmentation Using Convolutional Neural Networks
Canadian Conference on Artificial Intelligence
Automatic Polyp Segmentation Using Convolutional Neural Networks
19:57
Incremental Sequential Rule Mining with Streaming Input Traces
Canadian Conference on Artificial Intelligence
Incremental Sequential Rule Mining with Streaming Input Traces
19:10
A deeper look at Bongard Problems
Canadian Conference on Artificial Intelligence
A deeper look at Bongard Problems
15:06
Deep Multi Agent Reinforcement Learning for Autonomous Driving
Canadian Conference on Artificial Intelligence
Deep Multi Agent Reinforcement Learning for Autonomous Driving
19:49
Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning
Canadian Conference on Artificial Intelligence
Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning
17:48
CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities
Canadian Conference on Artificial Intelligence
CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities
9:30
Adversarial Models for Deterministic Finite Automata
Canadian Conference on Artificial Intelligence
Adversarial Models for Deterministic Finite Automata
15:06
A Cost Skew Aware Predictive System for Chest Drain Management
Canadian Conference on Artificial Intelligence
A Cost Skew Aware Predictive System for Chest Drain Management
10:29
Empirical Confidence Models for Supervised Machine Learning
Canadian Conference on Artificial Intelligence
Empirical Confidence Models for Supervised Machine Learning
19:48
Challenges in vessel behavior and anomaly detection: from classical machine learning to deep
Canadian Conference on Artificial Intelligence
Challenges in vessel behavior and anomaly detection: from classical machine learning to deep
9:59
Predicting the Number of Reported Bugs in a Software Repository
Canadian Conference on Artificial Intelligence
Predicting the Number of Reported Bugs in a Software Repository
19:47
Question-Worthy Sentence Selection for Question Generation
Canadian Conference on Artificial Intelligence
Question-Worthy Sentence Selection for Question Generation
17:03
Detection and Diagnosis of Breast Cancer Using a Bayesian Approach
Canadian Conference on Artificial Intelligence
Detection and Diagnosis of Breast Cancer Using a Bayesian Approach
10:31
Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer in Sentence
Canadian Conference on Artificial Intelligence
Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer in Sentence
9:28
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Canadian Conference on Artificial Intelligence
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
16:49
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
Canadian Conference on Artificial Intelligence
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
16:36
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
Canadian Conference on Artificial Intelligence
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
19:24
VecHGrad for solving accurately tensor decomposition
Canadian Conference on Artificial Intelligence
VecHGrad for solving accurately tensor decomposition
18:50
Low-dimensional dynamics of encoding and learning in recurrent neural networks
Canadian Conference on Artificial Intelligence
Low-dimensional dynamics of encoding and learning in recurrent neural networks
10:13
Sensitivity to risk profiles of users when developing AI systems
Canadian Conference on Artificial Intelligence
Sensitivity to risk profiles of users when developing AI systems
18:32
Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes
Canadian Conference on Artificial Intelligence
Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes
10:05
Ethical Requirements for AI Systems
Canadian Conference on Artificial Intelligence
Ethical Requirements for AI Systems
11:02
Partial Label Learning by Entropy Minimization
Canadian Conference on Artificial Intelligence
Partial Label Learning by Entropy Minimization
7:04
Exploring Deep Anomaly Detection Methods Based on Capsule Net
Canadian Conference on Artificial Intelligence
Exploring Deep Anomaly Detection Methods Based on Capsule Net
14:46
Similarity Matching of Temporal Event-Interval Sequences
Canadian Conference on Artificial Intelligence
Similarity Matching of Temporal Event-Interval Sequences
9:58
Customer Segmentation And Churn Prediction In Online Retail
Canadian Conference on Artificial Intelligence
Customer Segmentation And Churn Prediction In Online Retail
9:17
Selection Driven Query Focused Abstractive Document Summarization
Canadian Conference on Artificial Intelligence
Selection Driven Query Focused Abstractive Document Summarization
10:02
Machine Learning the Donor Journey
Canadian Conference on Artificial Intelligence
Machine Learning the Donor Journey
9:36
Mixing ICI and CSI Models for More Efficient Probabilistic Inference
Canadian Conference on Artificial Intelligence
Mixing ICI and CSI Models for More Efficient Probabilistic Inference
19:45
Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques
Canadian Conference on Artificial Intelligence
Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques
8:54
A Deep Neural Network for Counting the Number of Vessels using Sonar Signals
Canadian Conference on Artificial Intelligence
A Deep Neural Network for Counting the Number of Vessels using Sonar Signals
12:22
Adversarial Models for Deterministic Finite Automata
Canadian Conference on Artificial Intelligence
Adversarial Models for Deterministic Finite Automata
15:06
The K-Closest Resemblance Classifier for remote sensing data sets
Canadian Conference on Artificial Intelligence
The K-Closest Resemblance Classifier for remote sensing data sets
8:33
Seed Lexicons, Word Representations, Mapping Procedure, and Evaluation Lists: What Matters in
Canadian Conference on Artificial Intelligence
Seed Lexicons, Word Representations, Mapping Procedure, and Evaluation Lists: What Matters in
9:48
Amalgamated Models for Detecting Duplicate Bug Reports
Canadian Conference on Artificial Intelligence
Amalgamated Models for Detecting Duplicate Bug Reports
19:52
A Scheme for Generating A Dataset for Anomalous Activity Detection in Internet of Things
Canadian Conference on Artificial Intelligence
A Scheme for Generating A Dataset for Anomalous Activity Detection in Internet of Things
17:40
Locating influential agents in social networks: Budget-constrained seed set selection
Canadian Conference on Artificial Intelligence
Locating influential agents in social networks: Budget-constrained seed set selection
18:18
FASTT: Team formation using fair division
Canadian Conference on Artificial Intelligence
FASTT: Team formation using fair division
18:59
Personalized Multi-Faceted Trust Modeling in Social Networks
Canadian Conference on Artificial Intelligence
Personalized Multi-Faceted Trust Modeling in Social Networks
8:25