Search Results for author: Vasiliki Kougia

Found 7 papers, 5 papers with code

A Survey on Biomedical Image Captioning

2 code implementations WS 2019 Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos

Image captioning applied to biomedical images can assist and accelerate the diagnosis process followed by clinicians.

Image Captioning

RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams

1 code implementation11 Jun 2020 Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, Max Gordon

This paper introduces RTEx, a novel methodology for a) ranking radiography exams based on their probability to contain an abnormality, b) generating abnormality tags for abnormal exams, and c) providing a diagnostic explanation in natural language for each abnormal exam.

MemeGraphs: Linking Memes to Knowledge Graphs

1 code implementation28 May 2023 Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth

In this work, we propose to use scene graphs, that express images in terms of objects and their visual relations, and knowledge graphs as structured representations for meme classification with a Transformer-based architecture.

Entity Linking Knowledge Graphs +1

Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients

1 code implementation Artificial Intelligence in Medicine 2023 Zhendong Wang, Isak Samsten, Vasiliki Kougia, Panagiotis Papapetrou

In this paper, we propose a counterfactual solution MedSeqCF for preventing the mortality of three cohorts of ICU patients, by representing their electronic health records as medical event sequences, and generating counterfactuals by adopting and employing a text style-transfer technique.

counterfactual Counterfactual Explanation +3

Diagnostic Captioning: A Survey

no code implementations18 Jan 2021 John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos, Dimitris Papamichail

Diagnostic Captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination.

Image Captioning

Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes

no code implementations ACL (WOAH) 2021 Vasiliki Kougia, John Pavlopoulos

The Shared Task on Hateful Memes is a challenge that aims at the detection of hateful content in memes by inviting the implementation of systems that understand memes, potentially by combining image and textual information.

Benchmarking Binary Classification +4

SepLL: Separating Latent Class Labels from Weak Supervision Noise

1 code implementation25 Oct 2022 Andreas Stephan, Vasiliki Kougia, Benjamin Roth

In this work, we provide a method for learning from weak labels by separating two types of complementary information associated with the labeling functions: information related to the target label and information specific to one labeling function only.

text-classification Text Classification +1

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