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Št. zadetkov: 29
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
Per-run algorithm performance improvement forecasting using exploratory landscape analysis features
Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: izbira algoritmov;black-box optimization;exploratory landscape analysis;single-objective optimization;forecasting performance;
Per-run algorithm performance improvement forecasting using exploratory landscape analysis features
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
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)
ǂA ǂcross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Izvirni znanstveni članek
Oznake: algorithm selection;multi-target regression;generalization;benchmarking;
The task of selecting the best optimization algorithm for a particular problem is known as algorithm selection (AS). This involves training a model using landscape characteristics to predict algorithm performance, but a key challenge remains: making AS models generalize effectively to new, untrained ...
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Recent advances in meta-features for automated single-objective black-box optimization
Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov
Video in druga učna gradiva
Oznake: black-box optimization;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Impact of scaling in ELA feature calculation on algorithm selection cross-benchmark transferability
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: izbira algoritmov;algorithm selection;exploratory landscape analysis;transfer learning;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
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)
Št. zadetkov: 29
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