AI4Science - Advancing science through explainable AI, foundation models, and automated scientific discovery.

Journal Articles

2026

Digitalisation of inorganic chemistry with LLMs

Inorganic Chemistry Frontiers

Koloski, Boshko, Pollak, Senja, Džeroski, Sašo, Kondinski, Aleksandar

2026

Large language models in food and nutrition science: Opportunities, challenges, and the case of FoodyLLM

Current research in food science

Gjorgjevikj, Ana, Martinc, Matej, Cenikj, Gjorgjina, Stojanov, Riste, Drole, Jan, Ispirova, Gordana, Menichetti, Giulia, Ogrinc, Nives, Trajanov, Dimitar, Džeroski, Sašo, Seljak, Barbara Koroušić, Eftimov, Tome

2026

A survey of features used for representing black-box single-objective continuous optimization

Swarm and Evolutionary Computation

Cenikj, Gjorgjina, Nikolikj, Ana, Petelin, Gašper, Van Stein, Niki, Doerr, Carola, Eftimov, Tome

2026

FuDoBa: Fusing Document and Knowledge Graph Based Representations with Bayesian Optimisation

Machine Learning

Koloski, Boshko, Pollak, Senja, Navigli, Roberto, Škrlj, Blaž

2026

A methodology for multi-label algorithm selection in constrained multiobjective optimization

Swarm and Evolutionary Computation

Andova, Andrejaana, Cork, Jordan N, Tušar, Tea, Filipič, Bogdan

2025

Optimizing foamed glass production with machine learning

Materials & design

Hribar, Uroš, Stevanoska, Sintija, Camacho-Villalón, Christian L, Spreitzer, Matjaž, König, Jakob, Džeroski, Sašo

2025

Beyond landscape analysis: DynamoRep features for capturing algorithm-problem interaction in single-objective continuous optimization

Evolutionary Computation

Cenikj, Gjorgjina, Petelin, Gašper, Doerr, Carola, Korošec, Peter, Eftimov, Tome

2025

Structure–stability relationships in Pt-alloy nanoparticles using identical-location four-dimensional scanning transmission electron microscopy and unsupervised machine learning

ACS nano

Kamsek, Ana Rebeka, Ruiz-Zepeda, Francisco, Bele, Marjan, Logar, Anja, Drazic, Goran, Hodnik, Nejc

2025

Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?

Swarm and Evolutionary Computation

Cenikj, Gjorgjina, Petelin, Gašper, Seiler, Moritz, Cenikj, Nikola, Eftimov, Tome

2025

Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure

Swarm and Evolutionary Computation

Nikolikj, Ana, Munoz, Mario Andres, Eftimov, Tome

2025

Semi-supervised learning from tabular data with autoencoders: when does it work?

Machine Learning

Stevanoska, Sintija, Levatić, Jurica, Džeroski, Sašo

2025

From Symbolic to Neural and Back: Exploring Knowledge Graph–Large Language Model Synergies

Challenges and Algorithms for Knowledge Discovery from Data: Essays Dedicated to Arno Siebes on the Occasion of His 67th Birthday

Škrlj, Blaž, Koloski, Boshko, Pollak, Senja, Lavrač, Nada

2025

Cheminformatic analysis of protein surfaces provides binding site insights and informs identification strategies

Future medicinal chemistry

Milisavljević, Andrej, Pražnikar, Jure, Bren, Urban, Jukič, Marko

2025

Machine learning in antiviral drug design

Bioorganic & Medicinal Chemistry

Kolarič, Anja, Jukič, Marko, Bren, Urban

2025

No label left behind: a unified surface defect detection model for all supervision regimes

Journal of Intelligent Manufacturing

Rolih, Blaž, Fučka, Matic, Skočaj, Danijel

2025

Automated speech-fluency explanations for schizophrenia diagnosis

Scientific Reports

Rajher, Rok, Marinković, Mila, Prelog, Polona Rus, Žabkar, Jure

2025

PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation

Journal of Nursing Scholarship

Gosak, Lucija, Štiglic, Gregor, Pruinelli, Lisiane, Vrbnjak, Dominika

2025

Rapid review: growing usage of multimodal large language models in healthcare

Journal of Biomedical Informatics

Gupta, Pallavi, Zhang, Zhihong, Song, Meijia, Michalowski, Martin, Hu, Xiao, Štiglic, Gregor, Topaz, Maxim

2025

A brief review on benchmarking for large language models evaluation in healthcare

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Budler, Leona Cilar, Chen, Hongyu, Chen, Aokun, Topaz, Maxim, Tam, Wilson, Bian, Jiang, Štiglic, Gregor

2025

SSL-MAE: Adaptive Semi-Supervised Learning Framework for Multi-Label Classification of Remote Sensing Images Using Masked Autoencoders

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Marjan Stoimchev, Jurica Levatić, Dragi Kocev, Sašo Džeroski

2024

Discovery of Exact Equations for Integer Sequences

Mathematics

Gec, Boštjan, Džeroski, Sašo, Todorovski, Ljupčo

Conference Articles

2025

ClustOpt: a clustering-based approach for representing and visualizing the search dynamics of numerical metaheuristic optimization algorithms

2025 IEEE Congress on Evolutionary Computation (CEC)

Cenikj, Gjorgjina, Petelin, Gašper, Eftimov, Tome

2025

Bayesian Grammar Refinement for Efficient Equation Discovery

International Conference on Discovery Science

Brence, Jure, Džeroski, Sašo, Todorovski, Ljupčo

2025

A variational autoencoder for n-ary trees

International Conference on Discovery Science

Perčinić, Martin, Mežnar, Sebastian, Todorovski, Ljupčo, Džeroski, Sašo

2025

Automated modelling of Lake Bled, Slovenia

International conference AI for science 2025

Škerjanec, Mateja, Rant, Laura, Radinja, Matej, Atanasova, Nataša

2025

Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization

Proceedings of the Genetic and Evolutionary Computation Conference

Eftimov, Tome, Korošec, Peter

2025

Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Cenikj, Gjorgjina, Petelin, Gašper, Eftimov, Tome

2025

Using Local Correlation Between Objectives to Detect Problem Modality

International Conference on the Applications of Evolutionary Computation (Part of EvoStar)

Tušar, Tea, Cork, Jordan N

2025

Geometric learning in black-box optimization: A GNN framework for algorithm performance prediction

Proceedings of the Genetic and Evolutionary Computation Conference Companion GECCO '25

Kostovska, Ana, Doerr, Carola, Džeroski, Sašo, Panov, Panče, Eftimov, Tome

2025

Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance

Genetic and Evolutionary Computation Conference, GECCO 2025

Nikolikj, Ana, Ochoa, Gabriela, Eftimov, Tome

2025

On the Pareto Set and Front of Multiobjective Spherical Functions with Convex Constraints

Genetic and Evolutionary Computation Conference GECCO 2025

Auger, Anne, Brockhoff, Dimo, Cork, Jordan, Tušar, Tea

2025

Landscape-Aware Selection of Constraint Handling Techniques in Multiobjective Optimisation

Slovenian Conference on Artificial Intelligence: Information Society - IS 2025

Cork, Jordan N, Andova, Andrejaana, Krömer, Pavel, Tušar, Tea, Filipič, Bogdan

2025

Discovery of Tobamoviral Sequences Using a Custom Snakemake Pipeline

International Advances in Plant Virology 2025

Neža Pajek Arambašič, Katarina Bačnik, Luka Kranjc, Denis Kutnjak, Tomaž Curk

2025

Selecting Unlabeled Data for Tabular Self-Supervised Learning

International Conference on Discovery Science

Stevanoska, Sintija, Dost, Katharina, Camacho Villalón, Christian L, Džeroski, Sašo

2025

Combining textual and structural information for premise selection in Lean

The 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025, MATH-AI 2025

Petrovčič, Job, Narváez, David E., Todorovski, Ljupčo

2025

Kernel-level expression generator

Theorem Proving and Machine Learning in the age of LLMs: SoA and Future Perspectives

Petrovčič, Job, Mežnar, Sebastian, Todorovski, Ljupčo

2025

Can Segment Anything Model Segment Just Some Things? Improving Zero-Shot Segmentation of Electron Microscopic Images with Clustering

2025 13th European Workshop on Visual Information Processing (EUVIP)

Martinc, Matej, Manojlovska, Anastasija, Džeroski, Sašo

2025

How can data mining support discovery and characterisation of plant viruses?

International Advances in Plant Virology 2025

Pajek Arambašić, Neža, Kranjc, Luka, Bačnik, Katarina, Vogrinec, Lana, Bačič, Martina, Mehle, Nataša, Curk, Tomaž, Kutnjak, Denis

2025

Using LLMs in Screening Test for Schizophrenia

34. mednarodna konferenca Elektrotehnike in računalništva ERK 2025

Marinković, Mila, Žabkar, Jure

2025

Priming deep neural networks with knowledge graphs improves the explainability of condition-specific gene sets in Arabidopsis

International conference AI for science 2025

Kert, Aleš, Modic, Vid, Curk, Tomaž, Bleker, Carissa, Zrimec, Jan

Publications

Select from the 3 header tabs below to find publications of the project.

Journal Articles

Digitalisation of inorganic chemistry with LLMs

Large language models in food and nutrition science: Opportunities, challenges, and the case of FoodyLLM

A survey of features used for representing black-box single-objective continuous optimization

FuDoBa: Fusing Document and Knowledge Graph Based Representations with Bayesian Optimisation

A methodology for multi-label algorithm selection in constrained multiobjective optimization

Optimizing foamed glass production with machine learning

Beyond landscape analysis: DynamoRep features for capturing algorithm-problem interaction in single-objective continuous optimization

Structure–stability relationships in Pt-alloy nanoparticles using identical-location four-dimensional scanning transmission electron microscopy and unsupervised machine learning

Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?

Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure

Semi-supervised learning from tabular data with autoencoders: when does it work?

From Symbolic to Neural and Back: Exploring Knowledge Graph–Large Language Model Synergies

Cheminformatic analysis of protein surfaces provides binding site insights and informs identification strategies

Machine learning in antiviral drug design

No label left behind: a unified surface defect detection model for all supervision regimes

Automated speech-fluency explanations for schizophrenia diagnosis

PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation

Rapid review: growing usage of multimodal large language models in healthcare

A brief review on benchmarking for large language models evaluation in healthcare

SSL-MAE: Adaptive Semi-Supervised Learning Framework for Multi-Label Classification of Remote Sensing Images Using Masked Autoencoders

Discovery of Exact Equations for Integer Sequences

Conference Articles

ClustOpt: a clustering-based approach for representing and visualizing the search dynamics of numerical metaheuristic optimization algorithms

Bayesian Grammar Refinement for Efficient Equation Discovery

A variational autoencoder for n-ary trees

Automated modelling of Lake Bled, Slovenia

Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization

Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis

Using Local Correlation Between Objectives to Detect Problem Modality

Geometric learning in black-box optimization: A GNN framework for algorithm performance prediction

Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance

On the Pareto Set and Front of Multiobjective Spherical Functions with Convex Constraints

Landscape-Aware Selection of Constraint Handling Techniques in Multiobjective Optimisation

Discovery of Tobamoviral Sequences Using a Custom Snakemake Pipeline

Selecting Unlabeled Data for Tabular Self-Supervised Learning

Combining textual and structural information for premise selection in Lean

Kernel-level expression generator

Can Segment Anything Model Segment Just Some Things? Improving Zero-Shot Segmentation of Electron Microscopic Images with Clustering

How can data mining support discovery and characterisation of plant viruses?

Using LLMs in Screening Test for Schizophrenia

Priming deep neural networks with knowledge graphs improves the explainability of condition-specific gene sets in Arabidopsis

Training Materials

Coming soon