Latest

• Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
• 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
• 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