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Source code disclosure: A primer for trade negotiators

Software is embedded into more and more products and services. Lines of code lie...

Dorobantu, C., Ostmann, F., & Hitrova, C. (2021). Source code disclosure: A primer for trade negotiators. In I. Borchert & L. A. Winters (Eds.), Addressing Impediments to Digital Trade (pp. 105-140). London: CEPR Press.

Data science and AI in the age of COVID-19 – report

Reflections on the response of the UK’s data science and AI community to the COVID-19 pandemic

AI in financial services

Artificial intelligence (AI) plays a central role in current processes of technological change in...

Ostmann, F., and Dorobantu C. (2021). AI in financial services. The Alan Turing Institute. https://doi.org/10.5281/zenodo.4916041

ClassifierGuesser - A Context-based Classifier Prediction System for Chinese Language Learners

Classifiers are function words that are used to express quantities in Chinese and are...

Nicole Peinelt, Maria Liakata, Shu-Kai Hsieh (2017): ClassifierGuesser - A Context-based Classifier Prediction System for Chinese Language Learners. Proceedings of IJCNLP 2017 (System Demonstrations), pages 41-44.

Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets

Existing datasets for scoring text pairs in terms of semantic similarity contain instances whose...

Nicole Peinelt, Maria Liakata, Dong Nguyen (2019): Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets. Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL 2019), pages 2792 - 2798.

tBERT – Topic Models and BERT Joining Forces for Semantic Similarity Detection

Semantic similarity detection is a fundamental task in natural language understanding. Adding topic information...

Nicole Peinelt, Dong Nguyen, Maria Liakata (2020): tBERT - Topic Models and BERT Joining Forces for Semantic Similarity Detection. Proceedings of the 58th Conference of the Association for Computational Linguistics (ACL 2020), pages 7047-7055.

The epidemiological impact of the NHS COVID-19 App

The COVID-19 pandemic has seen digital contact tracing emerge around the world to help...

Wymant, C., Ferretti, L., Tsallis, D. et al. The epidemiological impact of the NHS COVID-19 App. Nature (2021). https://doi.org/10.1038/s41586-021-03606-z

Query Lifting

Language-integrated query for heterogeneous nested collections

Ricciotti W., Cheney J. (2021) Query Lifting. In: Yoshida N. (eds) Programming Languages and Systems. ESOP 2021. Lecture Notes in Computer Science, vol 12648. Springer, Cham. https://doi.org/10.1007/978-3-030-72019-3_21

Cross-tier web programming for curated databases: a case study

Curated databases have become important sources of information across scientific disciplines, and due to...

Cross-tier web programming for curated databases: a case study, Simon Fowler, Simon Harding, Joanna Sharman, and James Cheney. IJDC 16(1), 2021.

RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects

This work presents a novel RGB-D SLAM approach to simultaneously segment, track and reconstruct...

Long, R, Rauch, C, Zhang, T, Ivan, V & Vijayakumar, S 2021, 'RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects', IEEE Robotics and Automation Letters.

Bayesian statistics and modelling

Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available...

van de Schoot, R., Depaoli, S., King, R. et al. Bayesian statistics and modelling. Nat Rev Methods Primers 1, 1 (2021). https://doi.org/10.1038/s43586-020-00001-2

AI, human rights, democracy and the rule of law: A primer prepared for the Council of Europe

In September 2019, the Council of Europe's Committee of Ministers adopted the terms of...

Leslie, D., Burr, C., Aitken, M., Cowls, J., Katell, M., and Briggs, M. (2021). Artificial intelligence, human rights, democracy, and the rule of law: a primer. The Council of Europe.

Stein Thinning

Optimal Thinning of MCMC Output

The use of heuristics to assess the convergence and compress the output of Markov...

Riabiz M, Chen WY, Cockayne J, Swietach P, Niederer SA, Mackey L, Oates CJ. (2020) Optimal Thinning of MCMC Output. arXiv:2005.03952.

Report: Where are the women? Mapping the gender job gap in AI

As AI becomes ubiquitous in everyday life, closing the gender gap in the AI...

Full report Young, E., Wajcman, J. and Sprejer, L. (2021). Where are the Women? Mapping the Gender Job Gap in AI. Policy Briefing: Full Report. The Alan Turing Institute. Summary Young, E., Wajcman, J. and Sprejer, L. (2021). Where are the Women? Mapping the Gender Job Gap in AI. Policy Briefing: Summary. The Alan Turing Institute.

Using wearable activity trackers to predict Type-2 Diabetes: A machine learning-based cross-sectional study of the UK Biobank accelerometer cohort

Background: Between 2013 and 2015, the UK Biobank (UKBB) collected accelerometer traces (AXT) using...

Lam B, Catt M, Cassidy S, Bacardit J, Darke P, Butterfield S, Alshabrawy O, Trenell M, Missier P

Understanding vulnerability to online misinformation

Health-related misinformation risks exacerbating the COVID-19 public health crisis if it leads the public...

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

The rapid global spread of COVID-19 has led to an unprecedented demand for effective...

Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan et al. "COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing." arXiv preprint arXiv:2010.16004 (2020).

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