Open Citations

Forecasting PM10 Concentrations in the Caribbean Area Using Machine Learning Models

Thomas Plocoste, Sylvio Laventure

Atmosphere · 2023

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Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects

Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie

Sustainability · 2023

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Forecasting Renewable Energy Generation with Machine learning and Deep Learning: Current Advances and Future Prospects

Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie

Preprints.org · 2023

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Foundations for improved vaccine correlate of risk analysis using positive-unlabeled learning

Natasha S. Kelkar, Kyle S. Morrison, Margaret E. Ackerman

Human Vaccines & Immunotherapeutics · 2023

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FRAUD DETECTION USING DATA ANALYTICS: A CASE STUDY OF UNDER INVOICING IMPORTATION FRAUD IN INDONESIA

Siti Aarifa’atus Sa’adah, Arief Hartanto

Jurnal BPPK Badan Pendidikan dan Pelatihan Keuangan · 2023

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From Black Box to Transparency: the hidden costs of XAI in NGN

Júlio Corona, Pedro Rodrigues, Leonardo Almeida, Rafael Teixeira, Mário Antunes, Rui L. Aguiar

Research Square · 2023

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From Formalism to Functionality: Leveraging AI and Ml to Advance Foundational Computer Science Paradigms

Md Mehedi Hassan

International Journal on Recent and Innovation Trends in Computing and Communication · 2023

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FSCB-IDS: Feature Selection and Minority Class Balancing for Attacks Detection in VANETs

Sara Amaouche, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Sohaib Bin Altaf Khattak, Haleem Farman, Moustafa M. Nasralla

Applied Sciences · 2023

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Gamification to Study Machine Learning using Octalysis Framework

Monika Evelin Johan, Samuel Ady Sanjaya, Andreas Yogi Brata, Andrew Brillyant

Ultimatics Jurnal Teknik Informatika · 2023

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Generation of Parametric Climb Trajectories considering Operational Inputs for Aircraft Engine Thrust Extraction

Maximilian Bień, Philipp Lehmann, Jens Friedrichs

Journal of Open Aviation Science · 2023

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Machine Learning Algorithms - A Review

Citing Works

Forecasting PM10 Concentrations in the Caribbean Area Using Machine Learning Models

Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects

Forecasting Renewable Energy Generation with Machine learning and Deep Learning: Current Advances and Future Prospects

Foundations for improved vaccine correlate of risk analysis using positive-unlabeled learning

FRAUD DETECTION USING DATA ANALYTICS: A CASE STUDY OF UNDER INVOICING IMPORTATION FRAUD IN INDONESIA

From Black Box to Transparency: the hidden costs of XAI in NGN

From Formalism to Functionality: Leveraging AI and Ml to Advance Foundational Computer Science Paradigms

FSCB-IDS: Feature Selection and Minority Class Balancing for Attacks Detection in VANETs

Gamification to Study Machine Learning using Octalysis Framework

Generation of Parametric Climb Trajectories considering Operational Inputs for Aircraft Engine Thrust Extraction

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