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Researcher · Textron Systems (United Kingdom) · United Kingdom

Pablo Ariel Duboue

Pablo Ariel Duboue publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Machine Learning and Data Classification.

OpenAlex
World rank
#1,431,004
of 7,710,434 ranked researchers
Rank in United Kingdom
#110,641
of 367,258
Works
52
Citations
1.2k
Citations per work
23.1
h-index
11
i10-index 14Top 37% in Artificial Intelligence
Pablo Ariel Duboue

What does Pablo Ariel Duboue research?

Pablo Ariel Duboue's work is mostly in Computer Science (86%), Biochemistry, Genetics and Molecular Biology (5%), Decision Sciences (2%).

Physical Sciences: 45 works · 86.2% of their workComputer Science: 45 works · 86.2% of their workArtificial Intelligence: 35 works · 66.9% of their workComputer Vision and Pattern Recognition: 5 works · 9.0% of their workInformation Systems: 3 works · 6.2% of their workSignal Processing: 2 works · 4.1% of their workEverything else: 4 works · 6.9% of their workLife Sciences: 2 works · 4.8% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.8% of their workMolecular Biology: 2 works · 4.8% of their workSocial Sciences: 1 works · 2.1% of their workDecision Sciences: 1 works · 2.1% of their workManagement Science and Operations Research: 1 works · 2.1% of their workTHEIR WORKPablo ArielDuboue52works
Life Sciences5%Physical Sciences86%Social Sciences2%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science4586.2%
  2. Everything else46.9%
    1. Biochemistry, Genetics and Molecular Biology24.8%
    1. Decision Sciences12.1%
  1. 1Artificial Intelligence67% of their works
  2. 2Computer Vision and Pattern Recognition9% of their works
  3. 3Information Systems6% of their works
  4. 4Molecular Biology5% of their works
  5. 5Signal Processing4% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Pablo Ariel Duboue's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Hyperparameter Optimization, Noisy Labels and Data Integration.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Neural Networks272 topics
  2. Machine Translation221 topic
  3. Word Representation221 topic
  4. Neural Machine Translation171 topic
  5. Statistical Machine Translation171 topic
  6. Hyperparameter Optimization121 topic
  7. Noisy Labels121 topic
  8. Data Integration112 topics
  9. Semantic Web112 topics
  10. Markov Decision Processes81 topic
  11. Spoken Dialogue Systems81 topic
  12. Linked Data71 topic
  13. Ontology71 topic
  14. Anomaly Detection51 topic
  15. Unsupervised51 topic
  16. Biomedical Ontologies41 topic
  17. Compression41 topic
  18. Suffix Arrays41 topic
  19. Text Mining41 topic

Where does Pablo Ariel Duboue work?

Pablo Ariel Duboue's main affiliation in the publication record is Textron Systems (United Kingdom), United Kingdom.

How many publications and citations does Pablo Ariel Duboue have?

OpenAlex counts 52 works and 1,199 citations for Pablo Ariel Duboue, an h-index of 11, ranking #1,431,004 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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