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2020 – today
- 2024
[i4]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:
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation. CoRR abs/2406.18249 (2024)- [i3]Luis Rita, Josh Southern, Ivan Laponogov, Kyle Higgins, Kirill A. Veselkov:
Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes. CoRR abs/2409.08792 (2024) - 2020
- [i2]Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, Kirill A. Veselkov, Michael M. Bronstein:
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction. CoRR abs/2001.05724 (2020)
2010 – 2019
- 2019
- [i1]Fabrizio Frasca, Diego Galeano, Guadalupe Gonzalez, Ivan Laponogov, Kirill A. Veselkov, Alberto Paccanaro, Michael M. Bronstein:
Learning interpretable disease self-representations for drug repositioning. CoRR abs/1909.06609 (2019) - 2018
- [j2]Ivan Laponogov, Noureddin Sadawi
, Dieter Galea, Reza Mirnezami, Kirill A. Veselkov:
ChemDistiller: an engine for metabolite annotation in mass spectrometry. Bioinform. 34(12): 2096-2102 (2018) - [j1]Dieter Galea, Ivan Laponogov, Kirill A. Veselkov:
Exploiting and assessing multi-source data for supervised biomedical named entity recognition. Bioinform. 34(14): 2474-2482 (2018) - [c1]Dieter Galea, Ivan Laponogov, Kirill A. Veselkov:
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization. BioNLP 2018: 56-66
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