Tom Diethe

Pietro Sormanni

CoRR, 2024

2023

An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Unlocking the Heart Using Adaptive Locked Agnostic Networks.

[BibT_eX]

[DOI]

CoRR, 2023

2021

Continual Density Ratio Estimation in an Online Setting.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Automatic Discovery of Privacy-Utility Pareto Fronts.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2020

Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams.

[BibT_eX]

[DOI]

CoRR, 2020

Bypassing Gradients Re-Projection with Episodic Memories in Online Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Similarity of Neural Networks with Gradients.

[BibT_eX]

[DOI]

CoRR, 2020

Hyperbolic Embeddings for Preserving Privacy and Utility in Text.

[BibT_eX]

[DOI]

Oluwaseyi Feyisetan

Thomas Drake

Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing, 2020

Calibrating Mechanisms for Privacy Preserving Text Analysis.

[BibT_eX]

[DOI]

Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing, 2020

Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Preserving Privacy in Analyses of Textual Data.

[BibT_eX]

[DOI]

Oluwaseyi Feyisetan

Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing, 2020

Optimal Continual Learning has Perfect Memory and is NP-hard.

[BibT_eX]

[DOI]

Jeremias Knoblauch

Hisham Husain

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An application of hierarchical Gaussian processes to the detection of anomalies in star light curves.

[BibT_eX]

[DOI]

Neurocomputing, 2019

HyperStream: a Workflow Engine for Streaming Data.

[BibT_eX]

[DOI]

CoRR, 2019

Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients.

[BibT_eX]

[DOI]

Neil Lawrence

CoRR, 2019

Privacy-preserving Active Learning on Sensitive Data for User Intent Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Continual Learning in Practice.

[BibT_eX]

[DOI]

CoRR, 2019

β<sup>3</sup>-IRT: A New Item Response Model and its Applications.

[BibT_eX]

[DOI]

Telmo de Menezes e Silva Filho

Ricardo B. C. Prudêncio

CoRR, 2019

Distribution calibration for regression.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text.

[BibT_eX]

[DOI]

Oluwaseyi Feyisetan

Thomas Drake

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

$β^3$-IRT: A New Item Response Model and its Applications.

[BibT_eX]

[DOI]

Telmo de Menezes e Silva Filho

Ricardo B. C. Prudêncio

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Comprehensive Study of Activity Recognition Using Accelerometers.

[BibT_eX]

[DOI]

Informatics, 2018

Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Anomaly detection in star light curves using hierarchical Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Unsupervised learning of sensor topologies for improving activity recognition in smart environments.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Probabilistic Sensor Fusion for Ambient Assisted Living.

[BibT_eX]

[DOI]

CoRR, 2017

2016

On the need for structure modelling in sequence prediction.

[BibT_eX]

[DOI]

Mach. Learn., 2016

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data.

[BibT_eX]

[DOI]

CoRR, 2016

BDL.NET: Bayesian dictionary learning in Infer.NET.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Active transfer learning for activity recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Bridging e-Health and the Internet of Things: The SPHERE Project.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2015

An RSSI-based wall prediction model for residential floor map construction.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2013

Online Learning with (Multiple) Kernels: A Review.

[BibT_eX]

[DOI]

Mark A. Girolami

Neural Comput., 2013

2012

Data dependent kernels in nearly-linear time.

[BibT_eX]

[DOI]

Guy Lever

John Shawe-Taylor

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Preface.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

2010

Sparse machine learning methods with applications in multivariate signal processing.

[BibT_eX]

[DOI]

Thomas Robert Diethe

PhD thesis, 2010

Preface.

[BibT_eX]

[DOI]

Nello Cristianini

John Shawe-Taylor

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Constructing Nonlinear Discriminants from Multiple Data Views.

[BibT_eX]

[DOI]

David R. Hardoon

John Shawe-Taylor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Matching Pursuit Kernel Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Kernel Polytope Faces Pursuit.

[BibT_eX]

[DOI]

Zakria Hussain

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2007

Modelling the Effects of Colony Age on the Foraging Behaviour of Harvester Ants.

[BibT_eX]

[DOI]