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11/15/2022
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
Land cover classification (LCC), and monitoring how land use changes ove...
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09/05/2022
Trust in Language Grounding: a new AI challenge for human-robot teams
The challenge of language grounding is to fully understand natural langu...
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05/30/2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
We generalise the problem of reward modelling (RM) for reinforcement lea...
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01/27/2022
Model Agnostic Interpretability for Multiple Instance Learning
In Multiple Instance Learning (MIL), models are trained using bags of in...
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09/03/2019
The LOCATA Challenge: Acoustic Source Localization and Tracking
The ability to localize and track acoustic events is a fundamental prere...
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01/17/2019
Using DNNs to Detect Materials in a Room based on Sound Absorption
The materials of surfaces in a room play an important room in shaping th...
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01/10/2019
Data Augmentation of Room Classifiers using Generative Adversarial Networks
The classification of acoustic environments allows for machines to bette...
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12/21/2018
End-to-End Classification of Reverberant Rooms using DNNs
Reverberation is present in our workplaces, our homes and even in places...
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12/19/2018
Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM
In this paper, we address the problem of simultaneously tracking several...
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11/20/2018
