| Title | Functional depth-based supervised classification and application for fnirs data / |
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| Translation of Title | Funkcinio gylio klasifikavimo metodai ir taikymai fNIRS duomenims. |
| Authors | Baliukevičiūtė, Ieva |
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| Pages | 39 |
| Keywords [eng] | funkcinių duomenų analizė, funkcinis gylis, funkcinis klasifikavimas, funkcinis gylio klasifikavimas, maksimalaus gylio klasifikavimas, duomenų glodinimas, functional data analysis, functional depth, functional classification, depth-based classification, maximum depth classifier, data smoothing |
| Abstract [eng] | Gender differences are widely studied from a neurobiological point of view. Neurobiologists argue that gender’s conscious and unconscious mechanisms of information processing are different. Thus, gender is considered as an influencing factor for the results of the cognitive experiment obtained using the fNIRS method. The functional depth-based classification algorithm is introduced to discern women and men considering brain activity data. The proposed procedure involves maximum depth-based classification approach while also comparing the results of five different functional depth notions. The results of the proposed method applied for fNIRS data imply that hemodynamic response is different between genders. The main differences can be found in the left brain frontal lobe which follows the knowledge of gender influence to existing cognitive studies. |
| Dissertation Institution | Vilniaus universitetas. |
| Type | Master thesis |
| Language | English |
| Publication date | 2020 |