Stefan Bekiranov

According to our database, Stefan Bekiranov authored at least 13 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

CoRR, May, 2025

IdeaBench: Benchmarking Large Language Models for Research Idea Generation.

Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Myles Kim, Corey M. Williams, Stefan Bekiranov, Aidong Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

IdeaBench: Benchmarking Large Language Models for Research Idea Generation.

Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Eric Xie, Stefan Bekiranov, Aidong Zhang

CoRR, 2024

Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.

Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

CoRR, 2024

DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

Guangzhi Xiong, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang

Bioinform., 2024

2023

ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq.

Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang

Bioinform., August, 2023

Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment.

Hyun Jae Cho, Mia Shu, Stefan Bekiranov, Chongzhi Zang, Aidong Zhang

Bioinform., April, 2023

2020

Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne.

Kunal Kathuria, Aakrosh Ratan, Michael McConnell, Stefan Bekiranov

Quantum Mach. Intell., 2020

Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets.

Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2015

Genome-wide predictors of NF-κB recruitment and transcriptional activity.

Marcin Cieslik, Stefan Bekiranov

BioData Min., 2015

2010

Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression.

Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan Bekiranov

BMC Bioinform., 2010

2009

Double error shrinkage method for identifying protein binding sites observed by tiling arrays with limited replication.

Youngchul Kim, Stefan Bekiranov, Jae K. Lee, Taesung Park

Bioinform., 2009