- Repository Home
- →
- Browse by Supervisor
JavaScript is disabled for your browser. Some features of this site may not work without it.
Browse by Supervisor "Kachergis, G.E."
Now showing items 1-19 of 19
-
(2018-02-26)Artificial IntelligenceAutomatic text highlighting is capable of becoming a new tool in textual information processing. Preliminary research is done to examine the potential of a new application for text summarization algorithms. A framework ... -
(2017-07-07)Artificial IntelligenceThe classifi cation of words in the human mind is known as the "mental lexicon". This lexicon is organized based on the phonological, orthographic and semantic similarity between words. It has been hypothesized that the ... -
(2018-06-18)Artificial IntelligenceThe degree of noun bias di ers between children. This project focused on trying to uncover the di erences in word knowledge between children with a weak degree of noun bias and children with a strong degree of noun bias. ...
-
(2018-08-16)Artificial IntelligenceIn this project we describe FinCoach, a mobile financial coaching application that recommends concrete actions to users to improve their financial behavior. Actions suggested by the application are framed as challenges and ...
-
(2017-07-05)Artificial IntelligenceThe law produces a large amount case law, which is still mostly processed by hand. The Case Law Analytics project aims to develop a technology that assists the legal community in analyzing case law. As a part of ...
-
(2017-08-28)Artificial IntelligenceWaveNet is a neural network that trains on and generates raw audio waveforms. It does this with an exceptional, almost human-like performance, especially in the text-to-speech-area. This paper investigates the capabilities ...
-
(2018-06-18)Artificial IntelligenceIs cognition the same across speakers of di erent languages? Best examples of color cate- gories turned out to be fundamental to this debate. Past research, that used best examples, has been conducted to argue for the ...
-
(2017-07-13)Artificial IntelligenceFraud detection is a difficult task in which multiple problems co-occur. The data often comes from a non-stationary stream. Moreover, correct labels are available for only a small part of the data and fraudulent cases are ...
-
(2018-06-18)Artificial IntelligenceText clustering is the process of clustering similar documents together based on the textual information within a document. The captions provided with the Flickr30k dataset will be used to organize the images. The dataset ...
-
(2018-07-01)Artificial IntelligenceDyslexia is a language-based disorder that is mainly charac- terized by di culties in reading and writing. The behavior of people with dyslexia expresses itself by poor ability in discriminating letters, causing reversal ...
-
(2017-08-18)Artificial IntelligenceSimilarity coding is dominant in the human lexicon. The educational game MindSort is based on this idea and therefore constitutes a psychologically plausible game for learning vocabulary. Not only words, also letters are ...
-
(2018-06-08)Artificial IntelligenceIn many languages, young children rst learn more nouns than verbs, although this appears not to be universal: Mandarin-speaking children show a verb bias (Dhillon, 2010). The Peabody Picture Vocabulary Test (PPVT) and ...
-
(2017-01-22)Artificial IntelligenceIn this study Age of Acquisition (AoA) of words is predicted using different word frequency distributions and other word attributes, like word length, word concreteness, lexical decision times, word arousal, valence and ...
-
(2018-06-24)Artificial IntelligenceThe age classification and indication of the categories sex, violence, fear, drugs & alcohol, discrimination and profanity, in television series and movies, are really important for the parent(s) to be able to check it ...
-
(2018-06-28)Artificial IntelligenceThis work is about automatically segmenting cerebral hemispheres using a convolutional neural network. The aim is to publish the work in NeuroImage: Clinical, since it is the rst work to automatically segment ...
-
(2017-07-19)Artificial IntelligenceIn 2016 WaveNet, a generative raw audio DNN model was introduced and showed unprecedented results in the area of speech synthesis. In this study the learning of the pronunciation of a second language is simulated. Using ...
-
(2017-08-30)Researchmaster Cognitive NeuroscienceArtificial Neural Networks (ANNs) have been increasingly used in attempts to mechanis- tically explain the inner workings of human cognition. Motion coherence is a a well-known paradigm whose computation requires ...
-
(2018-07-28)Artificial IntelligenceThe video game industry has grown over the past few years and its growth does not show any signs of stopping any time soon. This growth is also the case for educational video games. However, most of these educational ...
-
(2018-06-18)Artificial IntelligenceEarly language learning is one of many critical and complex skills children learn to develop during their young age (Kuhl, 2012). A distinctive fea- ture of early language learning is the lexical explosion known as the ...
Now showing items 1-19 of 19
