Genetic Approach for Optimizing Ensembles of Classifiers. - Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FLAIRS, 2008)

Evolving activity recognition from sensor streams. - José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Paula de Toledo; Araceli Sanchis (EAIS, 2012)

Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data. - Andrés Duque; Francisco Javier Ordóñez; Paula de Toledo; Araceli Sanchis (IWAAL, 2012)

A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors. - Francisco Javier Ordóñez; Andrés Duque; Paula de Toledo; Araceli Sanchis (IWAAL, 2012)

Online activity recognition using evolving classifiers. - Francisco Javier Ordóñez; José Antonio Iglesias 001; Paula de Toledo; Agapito Ledezma; Araceli Sanchis (Expert Syst. Appl., 2013)

Agent-based framework for Advanced Driver Assistance Systems in urban environments. - Germán Gutiérrez; José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FUSION, 2014)

In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. - Francisco Javier Ordóñez; Gwenn Englebienne; Paula de Toledo; Tim van Kasteren; Araceli Sanchis; Ben J. A. Kröse (IEEE Pervasive Comput., 2014)

Sensor-based Bayesian detection of anomalous living patterns in a home setting. - Francisco Javier Ordóñez; Paula de Toledo; Araceli Sanchis (Pers. Ubiquitous Comput., 2015)

Exploring human activity annotation using a privacy preserving 3D model. - Mathias Ciliberto; Daniel Roggen; Francisco Javier Ordóñez Morales (UbiComp Adjunct, 2016)

Exploring glass as a novel method for hands-free data entry in flexible cystoscopy. - Charles Templeman; Francisco Javier Ordóñez Morales; Andrew Symes; Daniel Roggen (UbiComp, 2016)

Beach volleyball serve type recognition. - Luis Ponce Cuspinera; Sakura Uetsuji; Francisco Javier Ordóñez Morales; Daniel Roggen (ISWC, 2016)

Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations. - Francisco Javier Ordóñez Morales; Daniel Roggen (ISWC, 2016)

Electric field phase sensing for wearable orientation and localisation applications. - Daniel Roggen; Arash Pour Yazdan; Francisco Javier Ordóñez Morales; Robert J. Prance; Helen Prance (ISWC, 2016)

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition. - Francisco Javier Ordóñez Morales; Daniel Roggen (Sensors, 2016)

High reliability Android application for multidevice multimodal mobile data acquisition and annotation. - Mathias Ciliberto; Francisco Javier Ordóñez Morales; Hristijan Gjoreski; Daniel Roggen; Sami Mekki; Stefan Valentin (SenSys, 2017)

A Versatile Annotated Dataset for Multimodal Locomotion Analytics with Mobile Devices. - Hristijan Gjoreski; Mathias Ciliberto; Francisco Javier Ordóñez Morales; Daniel Roggen; Sami Mekki; Stefan Valentin (SenSys, 2017)

The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices. - Hristijan Gjoreski; Mathias Ciliberto; Lin Wang 009; Francisco Javier Ordóñez Morales; Sami Mekki; Stefan Valentin; Daniel Roggen (IEEE Access, 2018)

Sussex-Huawei Locomotion and Transportation Dataset. - Hristijan Gjoreski; Mathias Ciliberto; Lin Wang 009; Francisco Javier Ordóñez Morales; Sami Mekki; Stefan Valentin; Daniel Roggen (IEEE DataPort, 2022)