The Department for Artificial Intelligence, at the Jožef Stefan Institute in Slovenia, is concerned mainly with research and development in information technologies with emphasis on artificial intelligence. The main research areas are: (a) data analysis with emphasis on text, (b) web and cross-modal data, (c) scalable real-time data analysis, (d) visualization of complex data, (e) semantic technologies, (f) language technologies.
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iot-fusion
iot-fusion PublicStreaming data fusion framework adjusted to support real-world use cases in the IoT domain.
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dataset-OG2021
dataset-OG2021 PublicThe project used to create the 2021 Tokyo Olympics data set
Repositories
- PREPARE-Extraction-Tool Public
PREPARE Extraction Tool is an application to help create mappings between coding systems and the Vocabulary standard concepts.
- Beyond-Aggregate-Sentiment Public
Reproducibility repository for Beyond Aggregate Sentiment (MDPI AI): six interpretable, domain-resolved discourse indicators from 2M AI-news headlines, validated against GPT-4o and a human benchmark.
- medtermex Public
This project focuses on developing and fine-tuning models for medical term extraction and general named entity recognition.
- TWON_Simulations Public
- Fairer_Models Public
- toxicity-prevention-study Public
- TWON_STA_Case_Study Public
- TWON_RKI_Case_Study Public
- co2-emissions-prediction Public
Monitoring power consumption and calculates CO2 emissions from Kubernetes containers
- Lipizzan-horses Public
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