Publications

From fear to action: AI governance and opportunities for all

Kevin Baum,

Joanna Bryson,

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

Model validation using mutated training labels: An exploratory study

Leveraging Semantic Knowledge Graphs in Educational Recommenders to Address the Cold-Start Problem

A Framework for Regularised Canonical Correlation Analysis by Alternating Least Squares

James Chapman,

John Shawe-Taylor,

Janaina Mourao-Miranda,

2023

Artificial Intelligence in Science: Artificial intelligence and development projects: A case study in funding mechanisms to optimise research excellence in sub-Saharan Africa

John Shawe-Taylor,

Davor Orlić,

OECD: Organisation for Economic Co-operation and Development

2023

Artificial intelligence and development projects: A case study in funding mechanisms to optimise research excellence in sub-Saharan Africa

Social AI and the Challenges of the Human-AI Ecosystem

HumanE AI Net: The HumanE AI Network

Exploration via Epistemic Value Estimation

Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262)

Wendy E Mackay,

John Shawe-Taylor,

Frank van Harmelen,

Schloss Dagstuhl-Leibniz-Zentrum für Informatik

2023

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

Towards InnoGraph: A Knowledge Graph for AI Innovation

Natural-hazard-related web observatory as a sustainable development tool

Springer International Publishing

2023

A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines

Swati Swati,

Adrian Mladenić Grobelnik,

Dunja Mladenić,

Elsevier

2023

An Inferential Commonsense-Driven Framework for Predicting Political Bias in News Headlines

Proceedings of the First Workshop on Matching From Unstructured and Structured Data (MATCHING 2023)

Feature Management for Machine Learning Operation Pipelines in AI Native Networks

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning

AI-based Strategic Foresight for Environment Protection

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage

Semi-Supervised Event Predictions with Graph Networks

AI, What Does the Future Hold for Us? Automating Strategic Foresight

Classification of news spreading barriers

Profiling the news spreading barriers using news headlines

Profiling the barriers to the spreading of news using news headlines

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning (preprint)

Rethinking semi-supervised learning with language models

Neural network for search retrieval and ranking

Corbin Louis Rosset,

Bhaskar Mitra,

David Anthony Hawking,

Fernando Diaz,

2023

TRAKYA BÖLGESİNDE COĞRAFİ İŞARETLEME ÇALIŞMALARI VE BÖLGE EKONOMİSİNE KATKISI

Özgür KARADAŞ,

Emine YILMAZ,

İsmail YILMAZ,

Çanakkale Onsekiz Mart University

2023

Pre-training with scientific text improves educational question generation (student abstract)

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues

Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues

Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process

Leveraging Semantic Knowledge Graphs in Educational Recommenders to Address the Cold-Start Problem

MAVİ BAYRAK FARKINDALIĞININ PLAJ TERCİHLERİ ÜZERİNE ETKİSİ

Neural network for search retrieval and ranking

Corbin Louis Rosset,

Bhaskar Mitra,

David Anthony Hawking,

Fernando Diaz,

2023

Query-specific Variable Depth Pooling via Query Performance Prediction

Debasis Ganguly,

Emine Yilmaz,

2023

Scalable Educational Question Generation with Pre-trained Language Models

Sahan Bulathwela,

Hamze Muse,

Emine Yilmaz,

Springer Nature Switzerland

2023

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort

Debasis Ganguly,

Emine Yilmaz,

2023

Task2KB: A Public Task-Oriented Knowledge Base

Determination of the Factors Affecting the Level of Benefit from Young Farmer Project Support in Rural Development: Tekirdag Sample, Türkiye

Deniz Sari Gedik,

Emine Yilmaz,

Tekirdag Namik Kemal University

2023

1279 Do Carotid Webs Raise the Risk of Ischaemic Stroke? a 12 Year Single Centre Retrospective Study

L Erete,

Shah Islam,

S Glasgow,

Oxford University Press

2023

Quantitative and Physiological Magnetic Resonance Imaging in Glioma

Shah Islam,

Melanie A Morrison,

Adam D Waldman,

Springer International Publishing

2023

O063 Should the presence of a carotid web be an indication for carotid intervention? A 12-year single centre retrospective study

L Erete,

Shah Islam,

S Glasgow,

Oxford University Press

2023

Commentary on: diagnostic accuracy of a decision-support software for the detection of intracranial large vessel occlusion in CT angiography

Shah Islam,

Elsevier

2023

Kernel methods for pattern analysis. 2004

John Shawe-Taylor,

Nello Cristianini,

2022

Canonical correlation analysis and partial least squares for identifying brain-behaviour associations: a tutorial and a comparative study

Network topological determinants of pathogen spread

Nature Publishing Group UK

2022

Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

Li Sun,

John Shawe-Taylor,

Dina D’Ayala,

Nature Publishing Group UK

2022

Watch less and uncover more: Could navigation tools help users search and explore videos?

Stability-based PAC-Bayes analysis for multi-view learning algorithms

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments

Controlling confusion via generalisation bounds

Correlation Based Semantic Transfer with Application to Domain Adaptation

Florina Cristina Calnegru,

John Shawe-Taylor,

Iasonas Kokkinos,

Springer International Publishing

2022

Chaining Value Functions for Off-Policy Learning

TransductGAN: a Transductive Adversarial Model for Novelty Detection

Najiba Toron,

Janaina Mourao-Miranda,

John Shawe-Taylor,

2022

Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Publications

From fear to action: AI governance and opportunities for all

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

Model validation using mutated training labels: An exploratory study

Leveraging Semantic Knowledge Graphs in Educational Recommenders to Address the Cold-Start Problem

A Framework for Regularised Canonical Correlation Analysis by Alternating Least Squares

Artificial Intelligence in Science: Artificial intelligence and development projects: A case study in funding mechanisms to optimise research excellence in sub-Saharan Africa

Artificial intelligence and development projects: A case study in funding mechanisms to optimise research excellence in sub-Saharan Africa

Social AI and the Challenges of the Human-AI Ecosystem

HumanE AI Net: The HumanE AI Network

Exploration via Epistemic Value Estimation

Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262)

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

Towards InnoGraph: A Knowledge Graph for AI Innovation

Natural-hazard-related web observatory as a sustainable development tool

A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines

An Inferential Commonsense-Driven Framework for Predicting Political Bias in News Headlines

Proceedings of the First Workshop on Matching From Unstructured and Structured Data (MATCHING 2023)

Feature Management for Machine Learning Operation Pipelines in AI Native Networks

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning

AI-based Strategic Foresight for Environment Protection

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage

Semi-Supervised Event Predictions with Graph Networks

AI, What Does the Future Hold for Us? Automating Strategic Foresight

Classification of news spreading barriers

Profiling the news spreading barriers using news headlines

Profiling the barriers to the spreading of news using news headlines

A Multilingual Ai Talent Demand Analysis and Forecasting Using Semantic Analysis and Multivariant Deep Learning (preprint)

Rethinking semi-supervised learning with language models

Neural network for search retrieval and ranking

TRAKYA BÖLGESİNDE COĞRAFİ İŞARETLEME ÇALIŞMALARI VE BÖLGE EKONOMİSİNE KATKISI

Pre-training with scientific text improves educational question generation (student abstract)

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues

Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues

Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process

Leveraging Semantic Knowledge Graphs in Educational Recommenders to Address the Cold-Start Problem

MAVİ BAYRAK FARKINDALIĞININ PLAJ TERCİHLERİ ÜZERİNE ETKİSİ

Neural network for search retrieval and ranking

Query-specific Variable Depth Pooling via Query Performance Prediction

Scalable Educational Question Generation with Pre-trained Language Models

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort

Task2KB: A Public Task-Oriented Knowledge Base

Determination of the Factors Affecting the Level of Benefit from Young Farmer Project Support in Rural Development: Tekirdag Sample, Türkiye

1279 Do Carotid Webs Raise the Risk of Ischaemic Stroke? a 12 Year Single Centre Retrospective Study

Quantitative and Physiological Magnetic Resonance Imaging in Glioma

O063 Should the presence of a carotid web be an indication for carotid intervention? A 12-year single centre retrospective study

Commentary on: diagnostic accuracy of a decision-support software for the detection of intracranial large vessel occlusion in CT angiography

Kernel methods for pattern analysis. 2004

Canonical correlation analysis and partial least squares for identifying brain-behaviour associations: a tutorial and a comparative study

Network topological determinants of pathogen spread

Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

Watch less and uncover more: Could navigation tools help users search and explore videos?

Stability-based PAC-Bayes analysis for multi-view learning algorithms

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments

Controlling confusion via generalisation bounds

Correlation Based Semantic Transfer with Application to Domain Adaptation

Chaining Value Functions for Off-Policy Learning

TransductGAN: a Transductive Adversarial Model for Novelty Detection

Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

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