Zeyd Boukhers

Orcid: 0000-0001-9778-9164

Affiliations:
  • Fraunhofer Institute for Applied Information Technology (FIT), Sankt Augustin, Germany
  • University of Koblenz-Landau, Faculty of Computer Science, Koblenz, Germany
  • University of Siegen, Germany (PhD 2017)


According to our database1, Zeyd Boukhers authored at least 42 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Deep author name disambiguation using DBLP data.
Int. J. Digit. Libr., September, 2024

Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks.
Int. J. Comput. Vis., April, 2024

Gyroscope-Assisted Motion Deblurring Network.
CoRR, 2024

FDO Manager: Minimum Viable FAIR Digital Object Implementation.
CoRR, 2024

SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection.
CoRR, 2024

Falcon 7b for Software Mention Detection in Scholarly Documents.
Proceedings of the Natural Scientific Language Processing and Research Knowledge Graphs, 2024

YawnNet: A Visual-Centric Approach for Yawning Detection.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Moiré Pattern Detection: Stability and Efficiency with Evaluated Loss Function.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Knowledge guided multi-filter residual convolutional neural network for ICD coding from clinical text.
Neural Comput. Appl., August, 2023

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences.
CoRR, 2023

Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

Pedestrian Collision Prediction Using a Monocular Camera.
Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Data Trading and Monetization: Challenges and Open Research Directions.
Proceedings of the 7th International Conference on Future Networks and Distributed Systems, 2023


Research Knowledge Graphs in NFDI4DS.
Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

Enhancing Reproducibility in Research Through FAIR Digital Objects.
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
COIN: Counterfactual Image Generation for Visual Question Answering Interpretation.
Sensors, 2022

Ensemble and Multimodal Approach for Forecasting Cryptocurrency Price.
CoRR, 2022

COIN: Counterfactual Image Generation for VQA Interpretation.
CoRR, 2022

Vision and natural language for metadata extraction from scientific PDF documents: a multimodal approach.
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Whois? Deep Author Name Disambiguation Using Bibliographic Data.
Proceedings of the Linking Theory and Practice of Digital Libraries, 2022

2021
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims.
CoRR, 2021

Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data.
CoRR, 2021

BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing.
CoRR, 2021

Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction.
CoRR, 2021

BiblioDAP'21: The 1st Workshop on Bibliographic Data Analysis and Processing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MexPub: Deep Transfer Learning for Metadata Extraction from German Publications.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy.
Entropy, 2020

LaHAR: Latent Human Activity Recognition using LDA.
CoRR, 2020

2019
An End-to-End Approach for Extracting and Segmenting High-Variance References from PDF Documents.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

2018
Example-Based 3D Trajectory Extraction of Objects From 2D Videos.
IEEE Trans. Circuits Syst. Video Technol., 2018

Less restrictive camera odometry estimation from monocular camera.
Multim. Tools Appl., 2018

2017
3D trajectory extraction from 2D videos for human activity analysis.
PhD thesis, 2017

2016
Automatic recognition of movement patterns in the vojta-therapy using RGB-D data.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Convoy Detection in Crowded Surveillance Videos.
Proceedings of the Human Behavior Understanding - 7th International Workshop, 2016

2015
Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Shape-Based Eye Blinking Detection and Analysis.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Object detection and depth estimation for 3D trajectory extraction.
Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing, 2015


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