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Federico Cruciani
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2020 – today
- 2024
- [j8]Marcos Lupión
, Federico Cruciani
Data Augmentation for Human Activity Recognition With Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 28(4): 2350-2361 (2024) - [c21]Ian Cleland, Luke Nugent, Federico Cruciani, Chris D. Nugent
Leveraging Large Language Models for Activity Recognition in Smart Environments. ABC 2024: 1-8 - 2023
- [j7]Samuel J. Moore
Deep learning for network intrusion: A hierarchical approach to reduce false alarms. Intell. Syst. Appl. 18: 200215 (2023) - [c20]Federico Cruciani, Samuel J. Moore, Chris D. Nugent:
Comparing general purpose pre-trained Word and Sentence embeddings for Requirements Classification. REFSQ Workshops 2023 - 2022
- [j6]Giovanni Schiboni
Context-Adaptive Sub-Nyquist Sampling for Low-Power Wearable Sensing Systems. IEEE Trans. Mob. Comput. 21(12): 4249-4262 (2022) - [c19]Federico Cruciani, Paul J. McCullagh, Catherine Saunders, Colm Hayden, Claudia Chisari, Ian Cleland, Chris D. Nugent
A Reusable Software Platform for Delivery of Digital Interventions. UCAmI 2022: 62-70 - [c18]Christopher Lawson
Investigation of the Relationship Between Indoor Air Quality and Physical Activity. UCAmI 2022: 547-558 - 2021
- [c17]Aurora Polo Rodríguez
Recognition of Hygiene Activities by Means of Multimodal Sensors. RIIFORUM 2021: 89-98 - [c16]Federico Cruciani, Samuel J. Moore, Bronagh Quigley, Sadiq Sani:
Semi-Supervised Detection of Algorithmically Generated Domains using Neural Network-Based Autoencoders. AI-Cybersec@SGAI 2021: 29-37 - 2020
- [b1]Federico Cruciani:
Personalisation of machine learning models for human activity recognition. Ulster University, UK, 2020 - [j5]Federico Cruciani
Personalizing Activity Recognition With a Clustering Based Semi-Population Approach. IEEE Access 8: 207794-207804 (2020) - [j4]Aurora Polo Rodríguez
Domain Adaptation of Binary Sensors in Smart Environments Through Activity Alignment. IEEE Access 8: 228804-228817 (2020) - [j3]Federico Cruciani
Feature learning for Human Activity Recognition using Convolutional Neural Networks. CCF Trans. Pervasive Comput. Interact. 2(1): 18-32 (2020) - [j2]Matthew Burns
Using Convolutional Neural Networks with Multiple Thermal Sensors for Unobtrusive Pose Recognition. Sensors 20(23): 6932 (2020)
2010 – 2019
- 2019
- [c15]Javier Medina Quero, Federico Cruciani
Straightforward Recognition of Daily Objects in Smart Environments from Wearable Vision Sensor. PerCom Workshops 2019: 46-51 - [c14]Netzahualcóyotl Hernández
Preliminary evaluation of a self-management health app by people with cognitive impairment. PerCom Workshops 2019: 535-540 - [c13]Edna Bernal Monroy, Daniel Zafra Romero
Intelligent System for the Prevention of Pressure Ulcers by Monitoring Postural Changes with Wearable Inertial Sensors. UCAmI 2019: 79 - [c12]Federico Cruciani, Chen Sun, Shuai Zhang, Chris D. Nugent, Chunping Li, Shaoxu Song, Cheng Cheng, Ian Cleland, Paul J. McCullagh
A Public Domain Dataset for Human Activity Recognition in Free-Living Conditions. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 166-171 - [c11]Federico Cruciani, Anastasios Vafeiadis, Chris D. Nugent, Ian Cleland, Paul J. McCullagh
Comparing CNN and Human Crafted Features for Human Activity Recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 960-967 - 2018
- [j1]Federico Cruciani
Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone. Sensors 18(7): 2203 (2018) - [c10]Federico Cruciani
Personalized Online Training for Physical Activity monitoring using weak labels. PerCom Workshops 2018: 567-572 - [c9]Eduardo Machado, Deepika Singh, Federico Cruciani, Liming Chen
A Conceptual framework for Adaptive User Interfaces for older adults. PerCom Workshops 2018: 782-787 - [c8]Kåre Synnes
H2Al - The Human Health and Activity Laboratory. UCAmI 2018: 1241 - 2017
- [c7]Federico Cruciani
Rich context information for just-in-time adaptive intervention promoting physical activity. EMBC 2017: 849-852 - 2016
- [c6]Andrew Ennis, Ian Cleland, Timothy Patterson, Chris D. Nugent, Federico Cruciani
Doorstep: A doorbell security system for the prevention of doorstep crime. EMBC 2016: 5360-5363 - 2014
- [c5]Ian Cleland, Timothy Patterson, Chris D. Nugent
Doorstep Security; Using a Technology Based Solution for the Prevention of Doorstep Crime. IWAAL 2014: 46-50 - [c4]Federico Cruciani, Mark P. Donnelly, Leo Galway, Francesco Foresti, Cristiano Paggetti
Multi-source Context Data Representation and Distribution in an ICT Tool for Autism Treatment. UCAmI 2014: 200-203 - 2011
- [c3]Mark P. Donnelly, Tommaso Magherini, Chris D. Nugent
Annotating Sensor Data to Identify Activities of Daily Living. ICOST 2011: 41-48 - [c2]Federico Cruciani
Reducing Complexity of Data Flow Testing in the Verification of a IEC-62304 Flexible Workflow System. SAFECOMP 2011: 355-368 - 2010
- [c1]Federico Cruciani
DANTE: A Video Based Annotation Tool for Smart Environments. S-CUBE 2010: 179-188
Coauthor Index
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