Danny Kowerko

Orcid: 0000-0002-4538-7814

Affiliations:
  • Chemnitz University of Technology, Germany


According to our database1, Danny Kowerko authored at least 40 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning.
Comput., August, 2024

Improving learning-based birdsong classification by utilizing combined audio augmentation strategies.
Ecol. Informatics, 2024

Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study.
CoRR, 2024

Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

"Synthetic-Seed-Saturation" Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.
Proceedings of the German Medical Data Sciences 2024 - Health, 2024

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2022
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks.
J. Intell. Manuf., 2022

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System.
CoRR, 2022

TUC Media Computing at BirdCLEF 2022: Strategies in identifying bird sounds in a complex acoustic environments.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019.
Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

A Real-Time Demo for Acoustic Event Classification in Ambient Assisted Living Contexts.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Visual System Examination Using Synthetic Scenarios.
Proceedings of the Intelligent Human Systems Integration 2019, 2019

Hexagonal Image Generation by Virtual Multi-grid-Camera.
Proceedings of the Intelligent Human Systems Integration 2019, 2019

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

An Exploratory Inspection of the Detection Quality of Pose and Object Detection Systems by Synthetic Data.
Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System.
CoRR, 2018

University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID 2018.
Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Species Prediction based on Environmental Variables using Machine Learning Techniques.
Proceedings of the Working Notes of CLEF 2018, 2018

A Baseline for Large-Scale Bird Species Identification in Field Recordings.
Proceedings of the Working Notes of CLEF 2018, 2018

Large-Scale Plant Classification using Deep Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Technische Universität Chemnitz and Hochschule Mittweida at TRECVID Instance Search 2017.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

Aufbereitung augenmedizinischer Bild-, Patienten- und Diagnosedaten zum Zwecke der Forschung - Ethikrichtlinen und deren praktische Umsetzung.
Proceedings of the Mensch und Computer 2017, 2017

An Exploratory Comparison of the Visual Quality of Virtual Reality Systems Based on Device-Independent Testsets.
Proceedings of the Virtual, Augmented and Mixed Reality, 2017

Preparing clinical ophthalmic data for research application.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Fast and accurate creation of annotated head pose image test beds as prerequisite for training neural networks.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

WS34 - Deep Learning in heterogenen Datenbeständen.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Acoustic Event Classification Using Convolutional Neural Networks.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

Large-Scale Bird Sound Classification using Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible.
Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016

Technische Universität Chemnitz at TRECVID Instance Search 2016.
Proceedings of the 2016 TREC Video Retrieval Evaluation, 2016

Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling.
Proceedings of the Universal Access in Human-Computer Interaction. Users and Context Diversity, 2016


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