I often collaborate with Ameen Abu-Hanna, Joanna Klopotowska, and Iacopo Vagliano in the Amsterdam UMC/UvA, and with Sebastian Schelter in the Informatics Institute/UvA.

PhD students

  • Zeyu Zhang (Sep 2022–, UvA). Natural language processing and data management for data-driven mental health research. (Co-supervised with Sebastian Schelter)

  • Rachel Murphy (Sep 2021–, Amsterdam UMC). Natural language processing to detect adverse drug events. (Co-supervised with Joanna Klopotowska)

MSc/BSc students

  • Auke Elfrink (2022–, MSc in Artificial Intelligence, UvA). Predicting the risk of cancer from patients’ electronic health records. (Co-supervised with Ameen Abu-Hanna and Iacopo Vagliano)

  • Youssef El Ghouch (2022–, MSc in Data Science, UvA). Interpretability of mortality prediction in the intensive care using natural language processing on free-text medical notes: a code-base for post-hoc attribution methods. (Co-supervised with Ameen Abu-Hanna and Iacopo Vagliano)

Alumni

MSc/BSc students

  • Teresa Huang (2020–, Individual Project, Center for Data Science, NYU). Learning multimodal knowledge graph representations to improve natural language understanding and generation.

  • Yash Deshpande (2020–, Individual Project, Center for Data Science, NYU). Learning multimodal knowledge graph representations to improve natural language understanding and generation.

  • Yibo Liu (2020–, Individual Project, Center for Data Science, NYU). Learning multimodal knowledge graph representations to improve natural language understanding and generation.

  • Jana Leible (Sep 2019, MSc in Artificial Intelligence, UvA). Improving multi-modal machine translation by learning to tag images.

  • Victor Milewski ( 2019, MSc in Artificial Intelligence, UvA). Incorporating object relational information into image description generation.

  • Houda Alberts (Sep 2019, MSc in Artificial Intelligence, UvA). Exploiting multi-modal knowledge bases for image description generation.

  • Vikrant Yadav (Sep 2019, MSc in Artificial Intelligence, UvA). Hybrid context-based embeddings generated from taxonomical paths.

  • Fábio Paixão Curi (Sep 2018, MSc in Artificial Intelligence, UvA). Using typological linguistic features to improve low-resource machine translation.

  • Maartje de Jonge (Sep 2018, Individual Project in AI, UvA). Image description generation with separate description and language models.

  • Victor Milewski (Sep 2018, Individual Project in AI, UvA). Topic mixture models for image description generation.


Iacer Calixto© 2022. All rights reserved.

Powered by Hydejack v8.4.0