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Effect of Parameter Tuning at Distinguishing Between Real and Posed Smiles from Observers' Physiological Features., и . ICONIP (4), том 10637 из Lecture Notes in Computer Science, стр. 839-850. Springer, (2017)Measuring User Responses to Driving Simulators: A Galvanic Skin Response Based Study., , , , и . AIVR, стр. 33-40. IEEE, (2019)Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction., , , и . CoRR, (2022)S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation., , , и . CoRR, (2020)Predicting Visual Search Task Success from Eye Gaze Data as a Basis for User-Adaptive Information Visualization Systems., , , , , и . ACM Trans. Interact. Intell. Syst., 11 (2): 14:1-14:25 (2021)Observers Pupillary Responses in Recognising Real and Posed Smiles: A Preliminary Study., , , и . CoRR, (2021)Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis., , , и . ICHI, стр. 145-149. IEEE, (2023)BeeNet: An End-To-End Deep Network For Bee Surveillance., , , , и . INNS DLIA@IJCNN, том 222 из Procedia Computer Science, стр. 415-424. Elsevier, (2023)MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer., , , , и . INNS DLIA@IJCNN, том 222 из Procedia Computer Science, стр. 272-283. Elsevier, (2023)SandiDoc at CLEF 2020 - Consumer Health Search : AdHoc IR Task., , , и . CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)