Latest
- TransNet: Minimally-Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems
- Gait Speed and Survival of Older Surgical Patient with Cancer: Prediction after Machine Learning
- Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
- Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems with Context-Varying Sensors
- Defense Practice
- Deep Convolutional Feature Transfer Across Mobile Activity Recognition Domains, Sensor Modalities and Locations
- TransNet: An Adaptable Deep Learner for Human Activity Recognition
- Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views
- Digital Health for Geriatric Oncology
- Personalized Human Activity Recognition Using Convolutional Neural Networks
- Personalized Human Activity Recognition Using Convolutional Neural Networks
- Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
- Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams
- Structured Perceptron (Part II)
- Structured Perceptron (Part I)
- Synchronous Dynamic View Learning: A Framework for Autonomous Training of Activity Recognition Models using Wearable Sensors
- Convex Optimization II: Gradient descent (Part 2)
- Convex Optimization II: Gradient descent (Part 1)
- Power and Memory Efficient Cascading Binary Classifier for Activity Recognition
- A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract
- Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors
- Mixture of Experts
- Autonomous Sensor-Context Learning in Dynamic Human-Centered Internet-of-Things Environments
- Convex Sets
- Adaptive Model Fusion for Wearable Sensors Based Human Activity Recognition
- Using Weka Java API
- Efficient graph-based semi-supervised learning of structured tagging models.
- A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors
- Autonomous sensor-context learning in dynamic human-centered internet-of-things environments
- Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications
- Shortest Superstring(Approximation Algorithm)
- Identifying Physical Activity Profiles in COPD Patients Using Topic Models.
- Ordering points to identify the clustering structure (OPTICS)
- DBSCAN
- Linear Programming: Introduction, Formulation and Solving
- Transfer Learning Algorithms in Wearable Monitoring Platforms
- Confidence-based Multiclass AdaBoost for Physical Activity Monitoring
- Introduction to Algorithm Complexity
- Hungarian Algorithms
- Semi-Learning of Activity Labels in Real-Time using Wearable Motion Sensors.
- Impact of sensor misplacement on estimating metabolic equivalent of task with wearables
- Electronic Tools to Measure and Enhance Medication Adherence