A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration

Unrolling of Simplicial ElasticNet for Edge Flow Signal Reconstruction

Impact of Annotation Modality on Label Quality and Model Performance in the Automatic Assessment of Laughter In-the-Wild

Improving Pedestrian Prediction Models with Self-Supervised Continual Learning

Hiding Assistive Robots During Training in Immersive VR Does Not Affect Users’ Motivation, Presence, Embodiment, Performance, Nor Visual Attention

Is intermittent control the source of the non-linear oscillatory component (0.2-2Hz) in human balance control

Social-aware Federated Learning: Challenges and Opportunities in Collaborative Data Training

Streaming Graph Embeddings via Incremental Neighborhood Sketching

Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics

Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams

Free Energy Principle for the Noise Smoothness Estimation of Linear Systems with Colored Noise

Towards Human-Automation Teamwork in Shared En-Route Air Traffic Control: Task Analysis

Improved Generalization in Semi-Supervised Learning: A Survey of Theoretical Results

MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction

Nimbus: Towards Latency-Energy Efficient Task Offloading for AR Services

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

Efficient Online Globalized Dual Heuristic Programming With an Associated Dual Network

Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs

Delay-Resistant Geo-Distributed Analytics