Auflistung Forschungszentren nach Schlagwort "Machine learning"

Auflistung Forschungszentren nach Schlagwort "Machine learning"

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  • Bias in data-driven artificial intelligence systems—An introductory survey 
    Ntoutsi, Erini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis; Staab, Steffen (Hoboken, NJ : Wiley-Blackwell, 2020)
    Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing ...
  • Calibrating mini-mental state examination scores to predict misdiagnosed dementia patients 
    Vyas, Akhilesh; Aisopos, Fotis; Vidal, Maria-Esther; Garrard, Peter; Paliouras, George (Basel : MDPI AG, 2021)
    Mini-Mental State Examination (MMSE) is used as a diagnostic test for dementia to screen a patient’s cognitive assessment and disease severity. However, these examinations are often inaccurate and unreliable either due to ...
  • Disarming visualization-based approaches in malware detection systems 
    Saidia Fascí, Lara; Fisichella, Marco; Lax, Gianluca; Qian, Chenyi (Amsterdam [u.a.] : Elsevier Science, 2022)
    Visualization-based approaches have recently been used in conjunction with signature-based techniques to detect variants of malware files. Indeed, it is sufficient to modify some byte of executable files to modify the ...
  • Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records 
    Vyas, Akhilesh; Aisopos, F.; Vidal, M.-E.; Garrard, P.; Paliouras, G. (London : BioMed Central, 2022)
    Background: Dementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However, mainstream diagnostic tests and screening tools, such as CAMCOG and MMSE, ...
  • Parameterizing neural networks for disease classification 
    Bahra, Guryash; Wiese, Lena (Hoboken, NJ : Blackwell Publishing Ltd, 2019)
    Neural networks are one option to implement decision support systems for health care applications. In this paper, we identify optimal settings of neural networks for medical diagnoses: The study involves the application ...

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