The below sessions do not confined to a particular area of research. It is uniquely focused on conveying recent advancements to the scientific world in USF Robotics, AI 2024.
Sessions/Tracks
- Accuracy
- Algorithm
- Artificial Neural Networks
- Attribute
- Area Under Curve
- Bias Error
- Classification Threshold
- Clustering
- Confusion Matrix
- Convergence
Sessions/Tracks
- Deep Learning
- Dimension
- Extrapolate
- False Positive Rate
- Global Minima
- Hidden Layers
- Hyper Parameters
- Learning Rate
- Machine Learning
- Normalization
Sessions/Tracks
- Null Accuracy
- Optimizers
- Outlier
- Overfitting
- Regression
- Sensitivity
- Supervised Learning
- Test Set
- Transfer Learning
- True Positive Rate
Sessions/Tracks
- Underfitting
- Unsupervised Learning
- Validation Set
- Variance
- Natural Language Processing
- Computer Vision
- Deep Reinforcement Learning
- Autonomous Systems
- Human-Robot Interaction
- Data Mining
Sessions/Tracks
- Swarm Robotics
- Cognitive Computing
- Robotics Ethics
- Big Data Analytics
- Virtual Reality
- Augmented Reality
- Cybersecurity
- Evolutionary Computation
- Internet of Things
- Computer-aided Design
Sessions/Tracks
- Pattern Recognition
- Human-Centered Computing
- Robotics in Healthcare
- Bio-inspired Robotics
- Intelligent Agents
- Smart Cities
- Autonomous Vehicles
- Robotics in Education
- Explainable AI
- Quantum Computing
