Miquel Perelló-Nieto

23 papers A* 3A 1B 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2024 A conf
Explaining a Probabilistic Prediction on the Simplex with Shapley Compositions.
ECAI
Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre, Peter A. Flach
2024 J jnl
Explaining a probabilistic prediction on the simplex with Shapley compositions.
CoRR
Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre, Peter A. Flach
2024 J jnl
Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care.
CoRR
Jeffrey N. Clark, Matthew Wragg, Emily Nielsen, Miquel Perelló-Nieto, Nawid Keshtmand, Michael Ambler, Shiv Sharma, Christopher P. Bourdeaux, Amberly Brigden, Raúl Santos-Rodríguez
2023 J jnl
An active semi-supervised deep learning model for human activity recognition.
J. Ambient Intell. Humaniz. Comput.
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach, Ian Craddock
2023 J jnl
Classifier calibration: a survey on how to assess and improve predicted class probabilities.
Mach. Learn.
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
2023 — conf
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations.
PerCom Workshops
Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach
2023 J jnl
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations.
CoRR
Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach
2022 — conf
The Weak Supervision Landscape.
PerCom Workshops
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
2022 J jnl
The Weak Supervision Landscape.
CoRR
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
2021 J jnl
Classifier Calibration: How to assess and improve predicted class probabilities: a survey.
CoRR
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
2021 — conf
Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms.
PerCom Workshops
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
2021 J jnl
Human Activity Recognition Based on Dynamic Active Learning.
IEEE J. Biomed. Health Informatics
Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach
2021 — conf
On the Selection of Loss Functions Under Known Weak Label Models.
ICANN (2)
Daniel Bacaicoa-Barber, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro
2020 J jnl
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.
Michael Holmes, Miquel Perelló-Nieto, Hao Song, Emma Tonkin, Sabrina Grant, Peter A. Flach
2020 J jnl
Recycling weak labels for multiclass classification.
Neurocomputing
Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Dario García-García, Jesús Cid-Sueiro
2020 — conf
Towards a Methodology for Acceptance Testing and Validation of Monitoring Bodyworn Devices.
PerCom Workshops
Emma L. Tonkin, Miquel Perelló-Nieto, Haixia Bi, Antonis Vafeas
2019 A* conf
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration.
NeurIPS
Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
2019 J jnl
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.
CoRR
Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
2019 J jnl
HyperStream: a Workflow Engine for Streaming Data.
CoRR
Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach
2018 — conf
Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild.
KDH@IJCAI
Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach
2018 A* conf
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project.
KDD
Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perelló-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach
2017 B conf
Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios.
IDA
Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro
2016 A* conf
Background Check: A General Technique to Build More Reliable and Versatile Classifiers.
ICDM
Miquel Perelló-Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter A. Flach