Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering

Autor: Md. Rezaul Karim, Felix Hermsen, Sisay Adugna Chala, Paola De Perthuis, Avikarsha Mandal

Publikováno v: IEEE Access, Vol 12, Pp 50012-50029 (2024)

Money laundering is the process by which criminals move large sums of illicit money to hidden locations and integrate them as legal funds through existing financial services. The United Nations (UN) estimates that 2 to 5% of global GDP, which is appr

Externí odkaz: https://doaj.org/article/f6eef6d2d897412fa9e92e17c02b7455

Requirements and Building Blocks for Manufacturing Dataspaces

Autor: Rohit A. Deshmukh, Sisay Adugna Chala, Christoph Lange

Publikováno v: Companion Proceedings of the ACM Web Conference 2023.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::082ba879bd8ddb7341b29cd7097744b0
https://doi.org/10.1145/3543873.3587664

knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0

Autor: Claudio Pastrone, Sergio Alvarez-Napagao, Alexander Grass, Dimosthenis Ioannidis, Alexandros Nizamis, Fabian Berns, Nicola Ciulli, Natalia Jakubiak, Ilaria Bosi, Pedro Megias, Marta Garcia-Gasulla, Marta Barroso, Boki Ashmore, Ville Lamsa, Christian Beecks, Sisay Adugna Chala, Miquel Sànchez-Marrè, Cristian Barrue, Luca Ziliotti, Rosaria Rossini, Karl Kopke

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
INDIN
Alvarez-Napagao, S, Ashmore, B, Barroso, M, Barrué, C, Beecks, C, Berns, F, Bosi, I, Chala, S A, Ciulli, N, Garcia-Gasulla, M, Grass, A, Ioannidis, D, Jakubiak, N, Köpke, K, Lämsä, V, Megias, P, Nizamis, A, Pastrone, C, Rossini, R, Sànchez-Marrè, M & Ziliotti, L 2021, knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0 . in Proceedings-2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021 ., 9557410, Wiley-IEEE Press, 2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021, 21/07/21 . https://doi.org/10.1109/INDIN45523.2021.9557410

AI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, the complexity of technolog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167d9f54b3a8621054127ea823887863
https://doi.org/10.1109/INDIN45523.2021.9557410

Semantic matching of job seeker to vacancy: a bidirectional approach

Autor: Kea Tijdens, Sisay Adugna Chala, Fazel Ansari, Madjid Fathi

Publikováno v: International Journal of Manpower, 39(8), 1047-1063. Emerald

Purpose The purpose of this paper is to propose a framework of an automatic bidirectional matching system that measures the degree of semantic similarity of job-seeker qualifications and skills, against the vacancy provided by employers or job-agents

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c867e77e6fe64b53c6d76b4d1b9750
https://hdl.handle.net/11245.1/7d060d70-7acf-43ac-9eeb-3373b65e5ef8

Knowledge extraction from online vacancies for effective job matching

Autor: Scott Harrison, Sisay Adugna Chala, Madjid Fathi

Publikováno v: CCECE

Recruiters evaluate and filter job seekers, ranking them on various criteria. This includes how much of the required and desired requirements are satisfied, ensuring the candidate is the “best match” to vacancy. However, most vacancies do not cla

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d23a256213fcb6459a998a1698ce2828
https://doi.org/10.1109/ccece.2017.7946793