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Michał Choraś

Showing results (1-10 of 13) with videos related to

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Entropy (Basel, Switzerland)|January 13, 2021
Who Will Score? A Machine Learning Approach to Supporting Football Team Building and TransfersBartosz Ćwiklinski, Agata Giełczyk, Michał Choraś
Neural Computing & Applications|July 28, 2021
Implementation of the BERT-derived architectures to tackle disinformation challengesSebastian Kula, Rafał Kozik, Michał Choraś
Accountability in Research|July 26, 2021
Opening up a discussion on the native speaker myth in scienceAleksandra Pawlicka, Michał Choraś, Marek Pawlicki
Sensors (Basel, Switzerland)|August 26, 2022
Sensors and Pattern Recognition Methods for Security and Industrial ApplicationsMichał Choraś, Rafał Kozik, Marek Pawlicki
Scientific Reports|December 9, 2021
New explainability method for BERT-based model in fake news detectionMateusz Szczepański, Marek Pawlicki, Rafał Kozik, et al.
Business Horizons|October 11, 2021
A $10 million question and other cybersecurity-related ethical dilemmas amid the COVID-19 pandemicAleksandra Pawlicka, Michał Choraś, Marek Pawlicki, et al.
Nature|January 23, 2024
Tech developers must respect equitable AI accessMichał Choraś, Marek Pawlicki, Rafał Kozik, et al.
Sensors (Basel, Switzerland)|August 23, 2020
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack DetectionVibekananda Dutta, Michał Choraś, Marek Pawlicki, et al.
Entropy (Basel, Switzerland)|January 21, 2022
Advances in Computer Recognition, Image Processing and CommunicationsMichał Choraś, Robert Burduk, Agata Giełczyk, et al.
Plos One|May 16, 2020
Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employeesAleksandra Pawlicka, Marek Pawlicki, Renata Tomaszewska, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Entropy (Basel, Switzerland)|January 13, 2021
Who Will Score? A Machine Learning Approach to Supporting Football Team Building and TransfersBartosz Ćwiklinski, Agata Giełczyk, Michał Choraś
Neural Computing & Applications|July 28, 2021
Implementation of the BERT-derived architectures to tackle disinformation challengesSebastian Kula, Rafał Kozik, Michał Choraś
Accountability in Research|July 26, 2021
Opening up a discussion on the native speaker myth in scienceAleksandra Pawlicka, Michał Choraś, Marek Pawlicki
Sensors (Basel, Switzerland)|August 26, 2022
Sensors and Pattern Recognition Methods for Security and Industrial ApplicationsMichał Choraś, Rafał Kozik, Marek Pawlicki
Scientific Reports|December 9, 2021
New explainability method for BERT-based model in fake news detectionMateusz Szczepański, Marek Pawlicki, Rafał Kozik, et al.
Business Horizons|October 11, 2021
A $10 million question and other cybersecurity-related ethical dilemmas amid the COVID-19 pandemicAleksandra Pawlicka, Michał Choraś, Marek Pawlicki, et al.
Nature|January 23, 2024
Tech developers must respect equitable AI accessMichał Choraś, Marek Pawlicki, Rafał Kozik, et al.
Sensors (Basel, Switzerland)|August 23, 2020
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack DetectionVibekananda Dutta, Michał Choraś, Marek Pawlicki, et al.
Entropy (Basel, Switzerland)|January 21, 2022
Advances in Computer Recognition, Image Processing and CommunicationsMichał Choraś, Robert Burduk, Agata Giełczyk, et al.
Plos One|May 16, 2020
Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employeesAleksandra Pawlicka, Marek Pawlicki, Renata Tomaszewska, et al.
Pageof 2