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Thomas Lansdall-Welfare

5 papers hereh-index 15815 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG1
  • cs.MA1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20132018
most citedAnalysing Mood Patterns in the United Kingdom through Twitter Content

21 citations · 49 across the 5 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.CL2018★ 1 cited

Biased Embeddings from Wild Data: Measuring, Understanding and Removing

Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini

Many modern Artificial Intelligence (AI) systems make use of data embeddings, particularly in the domain of Natural Language Processing (NLP). These embeddings are learnt from data…

cs.LG2018★ 20 cited

Right for the Right Reason: Training Agnostic Networks

Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini

We consider the problem of a neural network being requested to classify images (or other inputs) without making implicit use of a "protected concept", that is a concept that should…

cs.CL2018★ 2 cited

History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora

Thomas Lansdall-Welfare, Nello Cristianini

Recent studies have shown that macroscopic patterns of continuity and change over the course of centuries can be detected through the analysis of time series extracted from massive…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.