Miquel Perelló-Nieto

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Class Probabilities

Accelerometer Data

Activity Recognition

Multiclass Classification

Top Venues

PerCom Workshops

Publications

Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. CoRR (2023)
Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. PerCom Workshops (2023)
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach, Ian Craddock
An active semi-supervised deep learning model for human activity recognition. J. Ambient Intell. Humaniz. Comput. 14 (10) (2023)
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
Classifier calibration: a survey on how to assess and improve predicted class probabilities. Mach. Learn. 112 (9) (2023)
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
The Weak Supervision Landscape. PerCom Workshops (2022)
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
The Weak Supervision Landscape. CoRR (2022)
Daniel Bacaicoa-Barber, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro
On the Selection of Loss Functions Under Known Weak Label Models. ICANN (2) (2021)
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
Classifier Calibration: How to assess and improve predicted class probabilities: a survey. CoRR (2021)
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach
Human Activity Recognition Based on Dynamic Active Learning. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Catherine Morgan, Farnoosh Heidarivincheh, Ian Craddock, Ryan McConville, Miquel Perelló-Nieto, Emma L. Tonkin, Alessandro Masullo, Antonis Vafeas, Mickey Kim, Roisin McNaney, Gregory J. L. Tourte, Alan L. Whone
Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. PerCom Workshops (2021)
Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Dario García-García, Jesús Cid-Sueiro
Recycling weak labels for multiclass classification. Neurocomputing 400 (2020)
Emma L. Tonkin, Miquel Perelló-Nieto, Haixia Bi, Antonis Vafeas
Towards a Methodology for Acceptance Testing and Validation of Monitoring Bodyworn Devices. PerCom Workshops (2020)
Michael Holmes, Miquel Perelló-Nieto, Hao Song, Emma Tonkin, Sabrina Grant, Peter A. Flach
Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery. J. Heal. Informatics Res. 4 (3) (2020)
Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration. CoRR (2019)
Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach
HyperStream: a Workflow Engine for Streaming Data. CoRR (2019)
Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration. NeurIPS (2019)
Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach
Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild. KHD@IJCAI (2018)
Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project. KDD (2018)
Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro
Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios. IDA (2017)
Miquel Perelló-Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter A. Flach
Background Check: A General Technique to Build More Reliable and Versatile Classifiers. ICDM (2016)