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Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder.

, , , , and . EMBC, page 1417-1420. IEEE, (2019)

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Heatmaps for Visual Explainability of CNN-Based Predictions for Multivariate Time Series with Application to Healthcare., , , and . ICHI, page 1-8. IEEE, (2020)Designing Care pathways using simulation Modeling and Machine Learning., , and . WSC, page 1452-1463. IEEE, (2018)Coupling Simulation with Machine Learning: A Hybrid Approach for Elderly Discharge Planning., and . SIGSIM-PADS, page 47-56. ACM, (2016)Towards Improving Modeling and Simulation of Clinical Pathways: Lessons Learned and Future Insights., and . SIMULTECH, page 508-514. SciTePress, (2015)How can Machine Learning Support the Practice of Modeling and Simulation? - A Review and Directions for Future Research.. DS-RT, page 1-7. IEEE, (2019)The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications., , , and . HEALTHINF, page 825-832. SCITEPRESS, (2021)Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes., , , , and . IEEE Big Data, page 4843-4847. IEEE, (2023)Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder., , , , and . EMBC, page 1417-1420. IEEE, (2019)Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths., , , , , and . HEALTHINF, page 103-112. SciTePress, (2019)978-989-758-353-7.Using Machine Learning to Predict Length of Stay and Discharge Destination for Hip-Fracture Patients., and . IntelliSys (1), volume 15 of Lecture Notes in Networks and Systems, page 207-217. Springer, (2016)