Esla Timothy Anzaku

Ghent University Hospital — Belgium

Computer Science · Physical Sciences

6h-index106citations27works0.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Adversarial Robustness in Machine Learning(6), Advanced Neural Network Applications(4), Domain Adaptation and Few-Shot Learning(4), Biometric Identification and Security(3), Digital Imaging for Blood Diseases(3)

Publications26 total

Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation
Lecture notes in computer science·2025
Uncertainty-Aware Evaluation of Deep Learning Object Detectors under Scarce and Evolving Test Datasets
Open Repository and Bibliography (University of Liège)·2025Open Access
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variants
PLoS neglected tropical diseases·2025· 1 citedOpen Access
Understanding the Behavior of DNNs on Replicated Datasets
Open Repository and Bibliography (University of Liège)·2025Open Access
Re-Assessing Accuracy Degradation: Understanding DNN Behavior on Similar-but-not-Identical Test Datasets
Open Repository and Bibliography (University of Liège)·2025Open Access
Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets
Machine Learning·2025· 3 citedOpen Access
How the Single-Label Assumption and Multi-Label Proportions Distort Benchmark Reliability: Evidence from ImageNet
SSRN Electronic Journal·2025Open Access
How Label Multiplicity Mismatch Distorts the ImageNetV2 Accuracy Gap
SSRN Electronic Journal·2025Open Access
The Impact of the Single-Label Assumption in Image Recognition Benchmarking
arXiv (Cornell University)·2024Open Access
A Reference-Based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos
Lecture notes in computer science·2024· 2 citedOpen Access
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
2024· 1 citedOpen Access
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
arXiv (Cornell University)·2024Open Access
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
Lecture notes in computer science·2024· 3 citedOpen Access
Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detection
Scientific Data·2023· 7 citedOpen Access
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
arXiv (Cornell University)·2023· 13 citedOpen Access
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins
BMC Bioinformatics·2023· 3 citedOpen Access
CRISPR-Cas-Docker: Web-based <i>in silico</i> docking and machine learning-based classification of crRNAs with Cas proteins
2023Open Access
Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detection
Figshare·2023· 1 citedOpen Access
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
arXiv (Cornell University)·2022· 1 citedOpen Access
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
arXiv (Cornell University)·2021· 3 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Wesley De Neve(23), Arnout Van Messem(18), Utku Özbulak(8), Jongbum Won(6), Seyed Amir Mousavi(5), Ho-min Park(4), Joris Vankerschaver(4), Hyesoo Hong(4), Hosik Sohn(3), Yong Man Ro(3), Stefan Magez(3), Mohammed Aliy Mohammed(3), Janarthanan Krishnamoorthy(3), Sofie Van Hoecke(3), Yunseol Park(2), Hyunjin Shim(2), Haohan Wang(2), Nikdokht Rashidian(2), Wouter Willaert(2), Haohan Wang(2)