FLAME: Federated Learning across Multi-device Environments | 0 | 0.34 | 2022 |
The City as a Personal Assistant: Turning Urban Landmarks into Conversational Agents for Serving Hyper Local Information. | 0 | 0.34 | 2022 |
Non-Invasive Blood Pressure Monitoring with Multi-Modal In-Ear Sensing | 0 | 0.34 | 2022 |
FRuDA: Framework for Distributed Adversarial Domain Adaptation | 0 | 0.34 | 2022 |
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition | 0 | 0.34 | 2022 |
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. | 0 | 0.34 | 2022 |
SleepGAN: Towards Personalized Sleep Therapy Music. | 0 | 0.34 | 2022 |
WellComp 2021: Fourth International Workshop on Computing for Well-Being | 1 | 0.34 | 2021 |
Designing Memory Aids for Dementia Patients using Earables | 0 | 0.34 | 2021 |
Pervasive Video and Audio | 0 | 0.34 | 2021 |
Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments | 0 | 0.34 | 2021 |
Vision Paper: Towards Software-Defined Video Analytics with Cross-Camera Collaboration | 0 | 0.34 | 2021 |
FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability | 0 | 0.34 | 2021 |
Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning | 1 | 0.35 | 2021 |
ePerceptive: energy reactive embedded intelligence for batteryless sensors | 0 | 0.34 | 2020 |
WellComp 2020: third international workshop on computing for well-being | 0 | 0.34 | 2020 |
Transformative Computing and Communication. | 1 | 0.35 | 2019 |
Situation-Aware Conversational Agent with Kinetic Earables | 0 | 0.34 | 2019 |
Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables | 0 | 0.34 | 2019 |
Degradable inference for energy autonomous vision applications | 0 | 0.34 | 2019 |
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems | 1 | 0.39 | 2019 |
On Hyper-local Conversational Agents in Urban Settings | 0 | 0.34 | 2019 |
Automatic Smile and Frown Recognition with Kinetic Earables | 2 | 0.36 | 2019 |
Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service | 0 | 0.34 | 2019 |
An early characterisation of wearing variability on motion signals for wearables | 1 | 0.54 | 2019 |
AudiDoS - Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models. | 0 | 0.34 | 2019 |
Unsupervised domain adaptation for robust sensory systems | 0 | 0.34 | 2019 |
FlexAdapt - Flexible Cycle-Consistent Adversarial Domain Adaptation. | 0 | 0.34 | 2019 |
WellComp 2018: First International Workshop on Computing for Well-Being. | 1 | 0.39 | 2018 |
Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices. | 1 | 0.34 | 2018 |
Beyond Testbeds: Real-World IoT Deployments. | 0 | 0.34 | 2018 |
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. | 0 | 0.34 | 2018 |
Trusted And Gdpr-Compliant Research With The Internet Of Things | 1 | 0.36 | 2018 |
Earables for Personal-Scale Behavior Analytics. | 8 | 0.83 | 2018 |
Exploring audio and kinetic sensing on earable devices. | 0 | 0.34 | 2018 |
On-Wearable AI to Model Human Interruptibility. | 0 | 0.34 | 2018 |
Mindful interruptions: a lightweight system for managing interruptibility on wearables. | 0 | 0.34 | 2018 |
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. | 4 | 0.38 | 2018 |
On Robustness of Cloud Speech APIs: An Early Characterization. | 1 | 0.34 | 2018 |
eSense: Earable Platform for Human Sensing. | 1 | 0.41 | 2018 |
On Indoor Human Sensing Using Commodity Radar. | 0 | 0.34 | 2018 |
An early resource characterisation of wi-fi sensing on residential gateways. | 0 | 0.34 | 2018 |
Squeezing Deep Learning into Mobile and Embedded Devices. | 23 | 0.83 | 2017 |
Moving Beyond Market Research: Demystifying Smartphone User Behavior in India. | 1 | 0.41 | 2017 |
Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? | 0 | 0.34 | 2017 |
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. | 17 | 0.69 | 2017 |
Multimodal Deep Learning for Activity and Context Recognition. | 15 | 0.62 | 2017 |
Towards cognitive awareness: a mobile context modeling- and notification-based approach. | 1 | 0.35 | 2017 |
It's All Around You: Exploring 360° Video Viewing Experiences on Mobile Devices. | 3 | 0.41 | 2017 |
Let's Talk About the Quantified Workplace. | 2 | 0.36 | 2016 |