Do we really need deep learning for demand forecasting?

Generative Adversarial Network: Use of Non-IID Samples

Session 4: Knowledge Representation

Estimating Depression and Suicide Ideation Levels from Social Media for the Canadian Population

Session 5: Neural Nets and Deep Learning & Session 6: AI Applications

Vehicle and Workflow Autonomy

Developing competencies of robots through 3D sensing and artificial intelligence

Conference on Robots and Vision 2022

Session 1: Uncertainty

Building Data Equity Systems

Oral Session 2: Planning and Control

Is Differential Privacy a Silver Bullet for ML?

Conference on Robotics and Vision 2022

Session 2: Security & Session 3: Natural Language Processing

Hitting two birds with one stone : using a dialog system model for automated email answering

Applying Trustworthy AI in Banking

Do we really need deep learning for demand forecasting?

Session 7: Data mining for maritime and biomedical data

Session 9: AI Ethics

Session 8: Agent Systems and Robotics

AI you can Bank on

Using ML Algorithms to Predict the Effects of Substituents on Molecular Properties and Structures

Prediction of Host-Pathogen RNA Interaction From RNA-seq and Dual DNA-seq Data using VAC

Automatic Detection of Behaviors of Risk in People with Dementia using Unsupervised Deep Learning

An Analysis of Geometric and Kinematic Descriptors in Classification of Trajectories