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Št. zadetkov: 21
ǂThe ǂimpact of statistics for benchmarking in evolutionary computation research
Tome Eftimov, Peter Korošec, Tome Eftimov, Peter Korošec
Objavljeni znanstveni prispevek na konferenci
Oznake:
The impact of statistics for benchmarking in evolutionary computation research
Leto: 2018 Vir: Institut Jožef Stefan (IJS)
Ingredients matching in bakery products
Tome Eftimov
Video in druga učna gradiva
Oznake: computer science;data mining;artificial intelligence
In this paper, we present the analytical results of the ingredients matching in bakery products. We collected recipes from a free recipes web site and the main goal was to find association rules between the recipes’ ingredients. For this purpose we applied an Apriori algorithm and various visual ...
Leto: 2015 Vir: videolectures.net
RF+clust for leave-one-problem-out performance prediction
Ana Nikolikj, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: algorithm performance prediction;automated machine learning;zero-shot learning;black-box optimization;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Enhancing food composition databases
Marko Možina, Slavko Žitnik, Tome Eftimov
Diplomsko delo
Oznake: food composition database;nutrient values;missing data;graph;machine learning;knowledge graph embeddings;data exploration;missing value imputation;ampligraph;computer science;computer science and mathematics;interdisciplinary studies;diploma;
Food composition databases (FCDBs) have presented an integral part of food and nutritional research, dietary assessment, and related (e.g., health, environmental) fields. However, as with other scientific disciplines, the domain of nutrition and food composition is no exception to the problem of mis ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Mining patterns for neurodegenerative diseases from biomedical scientific literature
Radoslav T. Atanasoski, Slavko Žitnik, Tome Eftimov
Diplomsko delo
Oznake: data mining;text representation learning;association rule mining;
Nowadays, there is a vast amount of biomedical knowledge coming in rapidly every day through scientifically published papers. However, trying to keep up with it, is really challenging and takes up too much time. Even more, when searching for relevant papers with required information. To help medical ...
Leto: 2022 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Data-driven preference-based deep statistical ranking for comparing multi-objective optimization algorithms
Tome Eftimov, Peter Korošec, Barbara Koroušić-Seljak
Objavljeni znanstveni prispevek na konferenci
Oznake:
Data-driven preference-based deep statistical ranking for comparing multi-objective optimization algorithms
Leto: 2018 Vir: Institut Jožef Stefan (IJS)
Deep statistical comparison of meta-heuristic stochastic optimization algorithms
Tome Eftimov, Peter Korošec, Barbara Koroušić-Seljak
Objavljeni znanstveni prispevek na konferenci
Oznake:
Deep statistical comparison of meta-heuristic stochastic optimization algorithms
Leto: 2018 Vir: Institut Jožef Stefan (IJS)
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach
Tome Eftimov, Peter Korošec, Barbara Koroušić-Seljak
Objavljeni znanstveni prispevek na konferenci
Oznake:
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach
Leto: 2017 Vir: Institut Jožef Stefan (IJS)
Predefined domain specific embeddings of food concepts and recipes
Gordana Ispirova, Tome Eftimov, Barbara Koroušić-Seljak
Objavljeni znanstveni prispevek na konferenci
Oznake: recipe embeddings;ingredient embeddings;predefined corpus;domain knowledge;predictive modelling;
Predefined domain specific embeddings of food concepts and recipes
Leto: 2022 Vir: Institut Jožef Stefan (IJS)
FooDis
Gjorgjina Cenikj, Tome Eftimov, Barbara Koroušić-Seljak
Izvirni znanstveni članek
Oznake: besedilno rudarjenje;luščenje povezav;prepoznavanje poimenovanih enitet;povezovanje poimenovanih entitet;prehrana;bolezni;text mining;relation extraction;named entity recognition;named entity linking;food-disease relations;
Nowadays, it is really important and crucial to follow the new biomedical knowledge that is presented in scientific literature. To this end, Information Extraction pipelines can help to automatically extract meaningful relations from textual data that further require additional checks by domain expe ...
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 21
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