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

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

Learning to Pick at Non-Zero-Velocity from Interactive Demonstrations

Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data

Assessment of Parkinson's Disease Severity from Videos Using Deep Architectures

Contour Moments Based Manipulation of Composite Rigid-Deformable Objects With Finite Time Model Estimation and Shape/Position Control