Consumer attitudes toward the ethics of neuromarketing in the Western Balkans
The use of neural networks and deep learning in insurance
Lecture slides and study materials for the course Learning and knowledge creation - from brain to experience (2021/2022)...
The course offers an interdisciplinary overview of the main perspectives on the human mind and related views on knowledge creation and learning, drawing from various core disciplines of cognitive science such as psychology, neuroscience, philosophy, and empirical phenomenology. It aims at revealing the connections between brain, experience and lear...
Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification
Bone fractures are among the main reasons for emergency room admittance and require a rapid response from doctors. Bone fractures can be severe and can lead to permanent disability if not treated correctly and rapidly. Using X-ray imaging in the emergency room to detect fractures is a challenging task that requires an experienced radiologist, a spe...
Musculoskeletal images classification for detection of fractures using transfer learning
The classification of the musculoskeletal images can be very challenging, mostly when it is being done in the emergency room, where a decision must be made rapidly. The computer vision domain has gained increasing attention in recent years, due to its achievements in image classification. The convolutional neural network (CNN) is one of the latest ...
Comparative study of first order optimizers for image classification using convolutional neural networks on histopatholo...
The classification of histopathology images requires an experienced physician with years of experience to classify the histopathology images accurately. In this study, an algorithm was developed to assist physicians in classifying histopathology images / the algorithm receives the histopathology image as an input and produces the percentage of canc...
Prispevek k razumevanju evolucije samozavedanja s primerjalno nevroznanstveno metodo
Magistrska naloga predstavlja poskus razumevanja evolucije samozavedanja. V njej preverjam tri hipoteze: hipotezo gradientnosti, hipotezo socialnosti in hipotezo kompleksnosti. Prva predpostavlja, da ima samozavedanje več stopenj, tako v okviru ontogenetskega, kakor tudi filogenetskega razvoja. Druga predpostavlja, da je samozavedanje prilagoditev ...
Vpliv perfekcionizma na kognitivno fleksibilnost na delovnem mestu
Sociologija kognitivne znanosti: Utelešena kognicija in ideologija
V diplomskem delu skušam osvetliti potencialne možnosti za sodelovanje med sociologijo kulture in kognitivno znanostjo. Kognitivna znanost je interdisciplinarna veda, pri kateri na vprašanje “kaj je kognicija” vsaka veda poda nekoliko drugačen odgovor. Relativno ustaljena teorija o utelešeni kognicij zagovarja, da kognicije ni mogoče zvesti zgolj n...
The role of incentive schemes on shaping reference values and influencing decisions about risk and effort
