Christoph Peter Balada

Orcid: 0000-0003-0307-7866

According to our database1, Christoph Peter Balada authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Sound of Death: Deep Learning Reveals Vascular Damage from Carotid Ultrasound.
CoRR, February, 2026

2025
LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations.
CoRR, September, 2025

Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering.
CoRR, May, 2025

Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids.
IEEE Access, 2025

Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage.
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

FiN-2: Larg-Scale Powerline Communication Dataset (Pt.4).
Dataset, September, 2023

FiN-2: Larg-Scale Powerline Communication Dataset (Pt.3).
Dataset, September, 2023

FiN-2: Larg-Scale Powerline Communication Dataset (Pt.2).
Dataset, September, 2023

FiN-2: Larg-Scale Powerline Communication Dataset (Pt.1).
Dataset, September, 2023

2022
FiN: A Smart Grid and Powerline Communication Dataset.
Dataset, February, 2022

FiN: A Smart Grid and Power Line Communication Dataset.
CoRR, 2022

Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
Leveraging Reinforcement Learning for evaluating Robustness of KNN Search Algorithms.
CoRR, 2021

Evaluation of Transfer Learning for Visual Road Condition Assessment.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021


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