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ORCIDFrancisco Javier Ordóñez
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2020 – today
- 2022
[d1]Hristijan Gjoreski, Mathias Ciliberto, Lin Wang, Francisco Javier Ordóñez Morales, Sami Mekki, Stefan Valentin, Daniel Roggen:
Sussex-Huawei Locomotion and Transportation Dataset. IEEE DataPort, 2022
2010 – 2019
- 2018
- [j5]Hristijan Gjoreski
, Mathias Ciliberto, Lin Wang, Francisco Javier Ordóñez Morales, Sami Mekki, Stefan Valentin, Daniel Roggen:
The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices. IEEE Access 6: 42592-42604 (2018) - 2017
- [c12]Hristijan Gjoreski, Mathias Ciliberto, Francisco Javier Ordóñez Morales, Daniel Roggen, Sami Mekki, Stefan Valentin:
A Versatile Annotated Dataset for Multimodal Locomotion Analytics with Mobile Devices. SenSys 2017: 61:1-61:2 - [c11]Mathias Ciliberto, Francisco Javier Ordóñez Morales, Hristijan Gjoreski, Daniel Roggen, Sami Mekki, Stefan Valentin:
High reliability Android application for multidevice multimodal mobile data acquisition and annotation. SenSys 2017: 62:1-62:2 - 2016
- [j4]Francisco Javier Ordóñez Morales, Daniel Roggen:
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition. Sensors 16(1): 115 (2016) - [c10]Charles Templeman, Francisco Javier Ordóñez Morales, Andrew Symes, Daniel Roggen:
Exploring glass as a novel method for hands-free data entry in flexible cystoscopy. UbiComp 2016: 581-592 - [c9]Mathias Ciliberto, Daniel Roggen, Francisco Javier Ordóñez Morales:
Exploring human activity annotation using a privacy preserving 3D model. UbiComp Adjunct 2016: 803-812 - [c8]Luis Ponce Cuspinera, Sakura Uetsuji, Francisco Javier Ordóñez Morales, Daniel Roggen:
Beach volleyball serve type recognition. ISWC 2016: 44-45 - [c7]Daniel Roggen, Arash Pour Yazdan, Francisco Javier Ordóñez Morales, Robert J. Prance, Helen Prance:
Electric field phase sensing for wearable orientation and localisation applications. ISWC 2016: 52-53 - [c6]Francisco Javier Ordóñez Morales, Daniel Roggen:
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations. ISWC 2016: 92-99 - 2015
- [j3]Francisco Javier Ordóñez, Paula de Toledo, Araceli Sanchis:
Sensor-based Bayesian detection of anomalous living patterns in a home setting. Pers. Ubiquitous Comput. 19(2): 259-270 (2015) - 2014
- [j2]Francisco Javier Ordóñez, Gwenn Englebienne, Paula de Toledo, Tim van Kasteren, Araceli Sanchis, Ben J. A. Kröse:
In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. IEEE Pervasive Comput. 13(3): 67-75 (2014) - [c5]Germán Gutiérrez, José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis:
Agent-based framework for Advanced Driver Assistance Systems in urban environments. FUSION 2014: 1-8 - 2013
- [j1]Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis:
Online activity recognition using evolving classifiers. Expert Syst. Appl. 40(4): 1248-1255 (2013) - 2012
- [c4]José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis:
Evolving activity recognition from sensor streams. EAIS 2012: 96-101 - [c3]Francisco Javier Ordóñez, Andrés Duque, Paula de Toledo, Araceli Sanchis:
A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors. IWAAL 2012: 98-105 - [c2]Andrés Duque, Francisco Javier Ordóñez, Paula de Toledo, Araceli Sanchis:
Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data. IWAAL 2012: 208-215
2000 – 2009
- 2008
- [c1]Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis:
Genetic Approach for Optimizing Ensembles of Classifiers. FLAIRS 2008: 89-94
Coauthor Index
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