Nikola Simidjievski
Scholar

Nikola Simidjievski

Google Scholar ID: T5l2R6IAAAAJ
Télécom Paris, Institut Polytechnique de Paris, France | University of Cambridge, UK
machine learningmultimodal learningml for healthcarebreast cancerequation discovery
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Citations & Impact
All-time
Citations
805
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
10
list available
Contact
Emailnikola.simidjievski@telecom-paris.frCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
7 items
Towards Spatial Transcriptomics-driven Pathology Foundation Models
2026
Cited
0
TabStruct: Measuring Structural Fidelity of Tabular Data
2025
Cited
0
RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data
2025
Cited
0
How Well Does Your Tabular Generator Learn the Structure of Tabular Data?
2025
Cited
0
LLM Embeddings for Deep Learning on Tabular Data
2025
Cited
0
Measuring Cross-Modal Interactions in Multimodal Models
arXiv.org · 2024
Cited
0
Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
2024
Cited
1
Resume (English only)
Research Experience
  • Serves as an Associate Professor at Télécom Paris, Institut Polytechnique de Paris, focusing on the application of machine learning and data science to improve healthcare services.
Background
  • Expert in Machine Learning & Data Science for Healthcare; Associate Professor at Télécom Paris, Institut Polytechnique de Paris.
Co-authors
10 total
Saso Dzeroski
Saso Dzeroski
Jozef Stefan Institute, Dept. of Knowledge Technologies
Dragi Kocev
Dragi Kocev
Jožef Stefan Institute
Ljupco Todorovski
Ljupco Todorovski
Full Professor, University of Ljubljana, Faculty of Mathematics and Physics
Co-author 4
Co-author 4
Paul Scherer
Paul Scherer
University of Cambridge
Co-author 6
Co-author 6
Cristian Bodnar
Cristian Bodnar
Silurian
Panče Panov
Panče Panov
Jožef Stefan Institute