Afshin Khadangi

According to our database, Afshin Khadangi authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning.

Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani, Gilbert Fridgen

CoRR, July, 2025

KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification.

Qianbo Zang, Christophe Zgrzendek, Igor Tchappi, Afshin Khadangi, Johannes Sedlmeir

CoRR, May, 2025

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models.

Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani

CoRR, April, 2025

CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements.

Afshin Khadangi, Amir Sartipi, Igor Tchappi, Gilbert Fridgen

CoRR, February, 2025

2023

We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond.

Afshin Khadangi

CoRR, 2023

DeepFlorist: Rethinking Deep Neural Networks and Ensemble Learning as A Meta-Classifier For Object Classification.

Afshin Khadangi

CoRR, 2023

2021

EM-stellar: benchmarking deep learning for electron microscopy image segmentation.

Afshin Khadangi, Thomas Boudier, Vijay Rajagopal

Bioinform., 2021

2020

EM-net: Deep learning for electron microscopy image segmentation.

Afshin Khadangi, Thomas Boudier, Vijay Rajagopal

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data.

Afshin Khadangi, Eric Hanssen, Vijay Rajagopal

BMC Medical Informatics Decis. Mak., 2019

2018

Automated framework to reconstruct 3D model of cardiac Z-disk: an image processing approach.

Afshin Khadangi, Eric Hanssen, Vijay Rajagopal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018