Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization. - Dieter Galea; Ivan Laponogov; Kirill A. Veselkov (BioNLP, 2018)

Exploiting and assessing multi-source data for supervised biomedical named entity recognition. - Dieter Galea; Ivan Laponogov; Kirill A. Veselkov (Bioinform., 2018)

ChemDistiller: an engine for metabolite annotation in mass spectrometry. - Ivan Laponogov; Noureddin Sadawi; Dieter Galea; Reza Mirnezami; Kirill A. Veselkov (Bioinform., 2018)

Learning interpretable disease self-representations for drug repositioning. - Fabrizio Frasca; Diego Galeano; Guadalupe Gonzalez; Ivan Laponogov; Kirill A. Veselkov; Alberto Paccanaro; Michael M. Bronstein (CoRR, 2019)

Graph Attentional Autoencoder for Anticancer Hyperfood Prediction. - Guadalupe Gonzalez; Shunwang Gong; Ivan Laponogov; Kirill A. Veselkov; Michael M. Bronstein (CoRR, 2020)

Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation. - Hamideh Kerdegari; Kyle Higgins; Dennis Veselkov; Ivan Laponogov; Inese Polaka; Miguel T. Coimbra; Junior Andrea Pescino; Marcis Leja; Mário Dinis-Ribeiro; Tania Fleitas Kanonnikoff; Kirill A. Veselkov (CoRR, 2024)

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations. - Kyle Higgins; Olga P. Nyssen; Joshua Southern; Ivan Laponogov; Aida Consortium; Dennis Veselkov; Javier P. Gisbert; Tania Fleitas Kanonnikoff; Kirill A. Veselkov (CoRR, 2024)

Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes. - Luis Rita; Joshua Southern; Ivan Laponogov; Kyle Higgins; Kirill A. Veselkov (Mach. Learn. Knowl. Extr., 2024)