Denis Huseljic

About Denis Huseljic

Denis Huseljic, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Universität Kassel, specializes in the field of Machine Learning, Active Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification

Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers

Active Label Refinement for Semantic Segmentation of Satellite Images

Multi-annotator Deep Learning: A Probabilistic Framework for Classification

Role of Hyperparameters in Deep Active Learning

Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets

Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning

Denis Huseljic Information

University

Position

___

Citations(all)

146

Citations(since 2020)

134

Cited By

26

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Denis Huseljic Skills & Research Interests

Machine Learning

Active Learning

Deep Learning

Top articles of Denis Huseljic

Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification

arXiv preprint arXiv:2404.08981

2024/4/13

Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning

Int. Workshop on Interact. Adapt. Learn.@ Eur. Conf. Mach. Learn

2023/9/22

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers

2023/9/17

Active Label Refinement for Semantic Segmentation of Satellite Images

arXiv preprint arXiv:2309.06159

2023/9/12

Multi-annotator Deep Learning: A Probabilistic Framework for Classification

arXiv preprint arXiv:2304.02539

2023/4/5

Role of Hyperparameters in Deep Active Learning

2023

Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets

2023

Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning

arXiv preprint arXiv:2210.06112

2022/10/12

A Review of Uncertainty Calibration in Pretrained Object Detectors

2022/10/6

Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources.

2022

Denis Huseljic
Denis Huseljic

H-Index: 2

Bernhard Sick
Bernhard Sick

H-Index: 22

A survey on cost types, interaction schemes, and annotator performance models in selection algorithms for active learning in classification

IEEE Access

2021/12/14

Toward optimal probabilistic active learning using a Bayesian approach

Machine Learning

2021/6

Separation of aleatoric and epistemic uncertainty in deterministic deep neural networks

2021/1/10

Multi-annotator probabilistic active learning

2021/1/10

A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving.

2021

Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders

2021

See List of Professors in Denis Huseljic University(Universität Kassel)