Dagmawi Delelegn Tegegn - Google Scholar

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Co-authors

Italo ZoppisDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-BicoccaVerified email at unimib.it
Sara ManzoniUniversity of Milano-BicoccaVerified email at disco.unimib.it
Cezar SasUniversity of GroningenVerified email at rug.nl

Dagmawi Delelegn Tegegn

Dagmawi Delelegn Tegegn

University of Milan-Bicocca

Verified email at campus.unimib.it

Machine Learning deep learning statistics


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Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum DD Tegegn, IF Zoppis, S Manzoni, C Sas, E Lotti Proceedings of the 14th International Joint Conference on Biomedical …, 2021	4	2021
Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study A Zancanaro, G Cisotto, DD Tegegn, SL Manzoni, I Reguzzoni, E Lotti, ... 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor …, 2022	3	2022
Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy. TD Delelegn, IF Zoppis, S Manzoni, A Mognato, I Reguzzoni, E Lotti AIABI@ AI* IA, 2021	1	2021
Process of analyzing organic materials, based on processing of near infrared spectra through advanced methods D Tegegn Università degli Studi di Milano-Bicocca, 2023		2023

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Articles 1–4