@inproceedings{nokey,

title = {Pedestrian Collision Prediction Using a Monocular Camera},

author = {Shiyuan Chen and Xue Qin and Zeyd Boukhers and John See and Wei Sui and Cong Yang},

year  = {2023},

date = {2023-08-22},

booktitle = {8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Enhancing Reproducibility in Research through FAIR Digital Objects},

author = {Zeyd Boukhers and Leyla Jael Garcia Castro},

year  = {2023},

date = {2023-08-22},

booktitle = {1st Conference on Research Data Infrastructure},

abstract = {The FAIR principles were introduced to enhance data reuse by providing guidelines for effective data management practices. In the broader context of research, assets encompass not only data but also other artifacts such as code, software, and publications. FAIRifying these artifacts is as essential as FAIRifying data, especially in Data Science and Artificial Intelligence, where the complexity of current AI approaches makes reproducibility extremely challenging. Therefore, facilitating the easy reuse of these artifacts represents a significant stride towards mitigating this problem. The concept of FAIR Digital Objects (FDOs) presents a solution to FAIRify these artifacts, treating them as FDOs. NFDI4DataScience is embracing FDOs and proposing an architecture to efficiently manage them.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Boukhers2023Beyond,

title = {Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility},

author = {Zeyd Boukhers and Azeddine Bouabdellah and Cong Yang and Jan Jürjens},

doi = {10.1145/3583780.3614790},

year  = {2023},

date = {2023-08-22},

urldate = {2023-08-22},

booktitle = {32nd ACM International Conference on Information and Knowledge Management (CIKM)},

abstract = {Since Bitcoin first appeared on the scene in 2009, cryptocurrencies have become a worldwide phenomenon as important decentralized financial assets. Their decentralized nature, however, leads to notable volatility against traditional fiat currencies, making the task of accurately forecasting the crypto-fiat exchange rate complex. In this study, we examine the various independent factors that affect the Bitcoin-Dollar exchange rate's volatility. To this end, we propose emph{CoMForE}, a multimodal AdaBoost-LSTM ensemble model, which not only utilizes historical trading data but also incorporates public sentiments from related tweets, public interest demonstrated by search volumes, and blockchain hash-rate data. Our developed model goes a step further by predicting fluctuations in the overall cryptocurrency value distribution, thus increasing its value for investment decision-making. We have subjected this method to extensive testing via comprehensive experiments, thereby validating the importance of multimodal combination over exclusive reliance on trading data. Further experiments show that our method significantly surpasses existing forecasting tools and methodologies, demonstrating a 19.29% improvement. This result underscores the influence of external independent factors on cryptocurrency volatility. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Boukhers_2023_2,

title = {PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences},

author = {Zeyd Boukhers and Arnim Bleier and Yeliz Ucer Yediel and Mio Hienstorfer-Heitmann and Mehrshad Jaberansary and Adamantios Koumpis and Oya Beyan},

year  = {2023},

date = {2023-07-30},

booktitle = {ACM/IEEE JCDL 2023 - Joint Conference on Digital Libraries},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Boukhers_2023_1,

title = {Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective},

author = {Zeyd Boukhers and Oya Beyan and Christoph Lange},

doi = {https://doi.org/10.1145/3543873.3587658},

year  = {2023},

date = {2023-04-30},

urldate = {2023-04-30},

booktitle = {Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{WhoIs2022,

title = {Whois? Deep Author Name Disambiguation using Bibliographic Data},

author = {Zeyd Boukhers and Nagaraj Bahubali},

year  = {2022},

date = {2022-07-11},

urldate = {2022-07-11},

booktitle = {The 26th International Conference on Theory and Practice of Digital Libraries},

publisher = {Springer},

abstract = {As the number of authors is increasing exponentially over years, the number of authors sharing the same names is increasing proportionally. This makes it challenging to assign newly published papers to their adequate authors. Therefore, Author Name Ambiguity (ANA) is considered a critical open problem in digital libraries. This paper proposes an Author Name Disambiguation (AND) approach that links author names to their real-world entities by leveraging their co-authors and domain of research. To this end, we use a collection from the DBLP repository that contains more than 5 million bibliographic records authored by around 2.6 million co-authors. Our approach first groups authors who share the same last names and same first name initials. The author within each group is identified by capturing the relation with his/her co-authors and area of research, which is represented by the titles of the validated publications of the corresponding author. To this end, we train a neural network model that learns from the representations of the co-authors and titles. We validated the effectiveness of our approach by conducting extensive experiments on a large dataset.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Boukhers2022b,

title = {Vision and Natural Language for Metadata Extraction from PDF Documents: A Multimodal Approach},

author = {Zeyd Boukhers and Azeddine Bouabdallah},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {ACM/IEEE Joint Conference on Digital Library},

publisher = {Accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{baier2021hybrid,

title = {Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction},

author = {Alexandra Baier and Zeyd Boukhers and Steffen Staab},

year  = {2021},

date = {2021-01-01},

journal = {arXiv preprint arXiv:2103.06727},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd18,

title = {Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data},

author = {Zeyd Boukhers and Nagaraj Bahubali and Abinaya Thulsi Chandrasekaran and Adarsh Anand and Soniya Manchenahalli Gnanendra Prasadand and Sriram Aralappa},

year  = {2021},

date = {2021-01-01},

booktitle = {BiblioDAP workshop @ SIGKDD2021},

pages = {1-9},

publisher = {Accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd17,

title = {Early Detection of COVID Lies without Evidences and Propagation Information},

author = {Ipek Barisand and Zeyd Boukhers},

year  = {2021},

date = {2021-01-01},

booktitle = {CONSTRAINT @ AAAI2021},

pages = {1-8},

publisher = {Accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd14,

title = {LaHAR: Latent Human Activity Recognition using LDA},

author = {Zeyd Boukhers and Danniene Wete and Steffen Staab},

year  = {2021},

date = {2021-01-01},

booktitle = {The AAAI 2021 Workshop on Plan, Activity, and Intent Recognition},

pages = {1-8},

publisher = {Accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd13,

title = {MexPub: Deep Transfer Learning for Metadata Extraction from German Publications},

author = {Zeyd Boukhers and Prantik Goswami and Nada Beili and Muhammad Arslan Zafar and Timo Hartmann},

year  = {2021},

date = {2021-01-01},

booktitle = {ACM/IEEE Joint Conference on Digital Library},

pages = {1-8},

publisher = {Accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd11,

title = {EXCITE–A toolchain to extract, match and publish open literature references},

author = {Azam Hosseini and Behnam Ghavimi and Zeyd Boukhers and Philipp Mayr},

year  = {2019},

date = {2019-01-01},

booktitle = {ACM/IEEE Joint Conference on Digital Library},

pages = {432-433},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd9,

title = {An End-to-end Approach for Extracting and Segmenting High-Variance References from PDF Documents},

author = {Zeyd Boukhers and Shrihash Ambhore and Steffen Staab},

year  = {2019},

date = {2019-01-01},

booktitle = {ACM/IEEE Joint Conference on Digital Library},

pages = {1-10},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd2,

title = {Convoy Detection in Crowded Surveillance Videos},

author = {Zeyd Boukhers and Yicong Wang and Kimiaki Shirahama and Kuniaki Uehara and Marcin Grzegorzek},

year  = {2016},

date = {2016-01-01},

booktitle = {Human Behavior Understanding (HBU) at ACM Multimedia, International Workshop on},

pages = {137-147},

publisher = {Springer International Publishing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd1,

title = {Automatic recognition of movement patterns in the vojta-therapy using RGB-D data},

author = {Muhammad Hassan Khan and Jullien Helsper and Zeyd Boukhers and Marcin Grzegorzek},

year  = {2016},

date = {2016-01-01},

booktitle = {Image Processing (ICIP), IEEE International Conference on},

pages = {1235-1239},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd6,

title = {Extracting 3D Trajectories of Objects from 2D Videos Using Particle Filter},

author = {Zeyd Boukhers and Kimiaki Shirahama and Frédéric Li and Marcin Grzegorzek},

year  = {2015},

date = {2015-01-01},

booktitle = {Multimedia Retrieval, ACM International Conference on},

pages = {83-90},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd5,

title = {Object detection and depth estimation for 3D trajectory extraction},

author = {Zeyd Boukhers and Kimiaki Shirahama and Frédéric Li and Marcin Grzegorzek},

year  = {2015},

date = {2015-01-01},

booktitle = {Content-Based Multimedia Indexing (CBMI), International Workshop on},

pages = {1-6},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd4,

title = {Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram},

author = {Yan Ling Zou and Chen Li and Zeyd Boukhers and Kimiaki Shirahama and Tao Jiang and Marcin Grzegorzek},

year  = {2015},

date = {2015-01-01},

booktitle = {Computer Recognition Systems (CORES),International Conference on},

pages = {543-552},

publisher = {Springer International Publishing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zeyd3,

title = {Shape-Based Eye Blinking Detection and Analysis},

author = {Zeyd Boukhers and Tomasz Jarzyński and Florian Schmidt and Oliver Tiebe and Marcin Grzegorzek},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

booktitle = {Computer Recognition Systems (CORES),International Conference on},

pages = {327-335},

publisher = {Springer International Publishing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}