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Dissertations / Theses on the topic 'AI in language learning'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Shukla, Saurabh. "Development of a Human-AI Teaming Based Mobile Language Learning Solution for Dual Language Learners in Early and Special Educations." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1547127943126526.

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2

Santiago, Dionny. "A Model-Based AI-Driven Test Generation System." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3878.

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Achieving high software quality today involves manual analysis, test planning, documentation of testing strategy and test cases, and development of automated test scripts to support regression testing. This thesis is motivated by the opportunity to bridge the gap between current test automation and true test automation by investigating learning-based solutions to software testing. We present an approach that combines a trainable web component classifier, a test case description language, and a trainable test generation and execution system that can learn to generate new test cases. Training da

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Abi, kanaan Marianne. "AI-Enhanced Emergency Call Handling : Development of Multimodal Machine Learning Models." Electronic Thesis or Diss., Besançon, Université Marie et Louis Pasteur, 2025. http://www.theses.fr/2025PAST2003.

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Les centres d’appels d’urgence jouent un rôle essentiel dans la gestion des situations de crise, car ils sont les intervenants de première ligne qui facilitent l’intervention, déterminant souvent la différence entre la vie et la mort. Les progrès récents et rapides de l’intelligence artificielle (IA) ne peuvent être négligés, car ils ont ouvert de nouveaux horizons pour améliorer les capacités des services d’urgence. Avec des applications d’IA adéquates, il est possible d’aider les centres d’appels d’urgence à améliorer l’efficacité et la précision de la gestion des urgences, sauvant ainsi pot

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4

Lilja, Adam, and Max Kihlborg. "Important criteria when choosing a conversational AI platform for enterprises." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280896.

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This paper evaluates and analyzes three conversational AI-platforms; Dialogflow (Google), Watson Assistant (IBM) and Teneo (Artificial Solutions) on how they perform based on a set of criteria; pricing model, ease-of-use, efficiency, experience working in the software and what results to expect from each platform. The main focus was to investigate the platforms in order to acquire an understanding of which platform would best be suited for enterprises. The platforms were compared by performing a variety of tasks aiming to answer these questions. The technical research was combined with an anal

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Wen, Tsung-Hsien. "Recurrent neural network language generation for dialogue systems." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275648.

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Language is the principal medium for ideas, while dialogue is the most natural and effective way for humans to interact with and access information from machines. Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact on usability and perceived quality. Many commonly used NLG systems employ rules and heuristics, which tend to generate inflexible and stylised responses without the natural variation of human language. However, the frequent repetition of identical output forms can quickly make dialogue become tedious for most real-world users.

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6

Acosta, Andrew D. "Laff-O-Tron: Laugh Prediction in TED Talks." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1667.

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Did you hear where the thesis found its ancestors? They were in the "parent-thesis"! This joke, whether you laughed at it or not, contains a fascinating and mysterious quality: humor. Humor is something so incredibly human that if you squint, the two words can even look the same. As such, humor is not often considered something that computers can understand. But, that doesn't mean we won't try to teach it to them. In this thesis, we propose the system Laff-O-Tron to attempt to predict when the audience of a public speech would laugh by looking only at the text of the speech. To do this, we cre

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Viswavarapu, Lokesh Kumar. "Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404616/.

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This thesis presents design and development of a gesture recognition system to recognize finger spelling American Sign Language hand gestures. We developed this solution using the latest deep learning technique called convolutional neural networks. This system uses blink detection to initiate the recognition process, Convex Hull-based hand segmentation with adaptive skin color filtering to segment hand region, and a convolutional neural network to perform gesture recognition. An ensemble of four convolutional neural networks are trained with a dataset of 25254 images for gesture recognition an

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Helwe, Chadi. "Evaluating and Improving the Reasoning Abilities of Language Models." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT021.

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Cette thèse examine les capacités de raisonnement des Petits Modèles de Langage (SLMs) et Grands Modèles de Langage (LLMs) et expose leurs limites. Elle présente LogiTorch, une bibliothèque Python facilitant l’entraînement de modèles sur diverses tâches de raisonnement. La thèse inclut également TINA, une technique d’augmentation de données qui renforce la robustesse des SLMs face à la négation dans les tâches d’implication textuelle. De plus, la thèse explore les capacités des LLMs avec MAFALDA, un nouveau benchmark pour la classification des sophismes, intégrant une métrique d’évaluation qui

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Roos, Sofie. "Chatbots in education : A passing trend or a valuable pedagogical tool?" Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355054.

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Digitalizing education and reinventing the learning experience is one of the big challenges in this age of information. In the eld of E-learning, the application of a chatbot as part of the education has shown interesting potential, both as a teaching and administrative tool. Chatbots have been 'trending' for a few years and quite a few papers examining it in the educational sector has been published, albeit very little interest seems to have been given to the summation of this knowledge. In an attempt to fill the knowledge gap this thesis performed a literature study to examine the documented

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Baroncini, Gian Marco. "analisi dei principali campi del deep learning e delle loro reti neurali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23368/.

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La tesi tratta una panoramica del campo innovativo del Deep Learning, analizzandone i principali campi di applicazione (Computer Vision e Natural Language Processing) per poi approfondirne nei dettagli più tecnici le reti neurali utilizzate. Si inizia la trattazione di questi modelli con le reti convoluzionali e le LSTM per poi descrivere strutture più elaborate e recenti che sono identificate come stato dell'arte di alcuni task fondamentali dell'intelligenza artificiale. Si è cercato di fornire in questo modo una visione più ampia delle tipologie di reti esistenti, evidenziando un’analisi

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Pàmies, Massip Marc. "Multilingual identification of offensive content in social media." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167381.

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In today’s society there is a large number of social media users that are free to express their opinion on shared platforms. The socio-cultural differences between the people behind those accounts (in terms of ethnicity, gender, sexual orientation, religion, politics, . . . ) give rise to an important percentage of online discussions that make use of offensive language, which often affects in a negative way the psychological well-being of the victims. In order to address the problem, the endless stream of user-generated content engenders a need to find an accurate and scalable solution to dete

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Wenestam, Arvid. "Labelling factual information in legal cases using fine-tuned BERT models." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447230.

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Labelling factual information on the token level in legal cases requires legal expertise and is time-consuming. This thesis proposes transfer-learning and fine-tuning implementation of pre-trained state-of-the-art BERT models to perform this labelling task. Investigations are done to compare whether models pre-trained on solely legal corpus outperforms a generic corps trained BERT and the model’s behaviour as the number of cases in the training sample varies. This work showed that the models metric scores are stable and on par using 40-60 professionally annotated cases as opposed to using the

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Andersson-Säll, Tim. "Transforming Legal Entity Recognition." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447240.

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Transformer-based architectures have in recent years advanced state-of-the-art performance in Natural Language Processing. Researchers have successfully adapted such models to downstream tasks within NLP in a domain-specific setting. This thesis examines the application of these models to the legal domain by doing Named Entity Recognition (NER) in a setting of scarce training data. Three different pre-trained BERT models are fine-tuned on a set of 101 court case documents, whereof one model is pre-trained on legal corpora and the other two on general corpora. Experiments are run to evaluate th

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Dahl, Jonas. "Feature Selection for Sentiment Analysis of Swedish News Article Titles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233534.

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The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. For narrower domains and previously labeled data, supervised learning can be used. The work of this thesis tested the performance of a convolutional neural network and a Support Vector Machine on differe

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Malik, Muhammad Hamza. "Information extraction and mapping for KG construction with learned concepts from scientic documents : Experimentation with relations data for development of concept learner." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285572.

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Systematic review of research manuscripts is a common procedure in which research studies pertaining a particular field or domain are classified and structured in a methodological way. This process involves, between other steps, an extensive review and consolidation of scientific metrics and attributes of the manuscripts, such as citations, type or venue of publication. The extraction and mapping of relevant publication data, evidently, is a very laborious task if performed manually. Automation of such systematic mapping steps intend to reduce the human effort required and therefore can potent

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Appelstål, Michael. "Multimodal Model for Construction Site Aversion Classification." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-421011.

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Aversion on construction sites can be everything from missingmaterial, fire hazards, or insufficient cleaning. These aversionsappear very often on construction sites and the construction companyneeds to report and take care of them in order for the site to runcorrectly. The reports consist of an image of the aversion and atext describing the aversion. Report categorization is currentlydone manually which is both time and cost-ineffective. The task for this thesis was to implement and evaluate an automaticmultimodal machine learning classifier for the reported aversionsthat utilized both the im

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Blixt, Rikard, and Anders Ye. "Reinforcement learning AI to Hive." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-134908.

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This report is about the game Hive, which is a very unique board game. Firstly we cover what Hive is, and then later details on our implementations of it, which issues we ran into during the implementation and how we solved those issues. Also we attempted to make an AI and by using reinforcement learning teaching it to become good at playing Hive. More precisely we used two AI that has no knowledge of Hive other than game rules. This however turned out to be impossible within reasonable timeframe, our estimations is that it would have to run on an upper-end home computer for at least 140 years

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18

Borgstrand, Richard, and Patrik Servin. "Reinforcement Learning AI till Fightingspel." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3113.

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Utförandet av projektet har varit att implementera två stycken fightingspels Artificiell Intelligens (kommer att förkortas AI). En oadaptiv och mer deterministisk AI och en adaptiv dynamisk AI som använder reinforcement learning. Detta har utförts med att skripta beteendet av AI:n i en gratis 2D fightingsspels motor som heter ”MUGEN”. AI:n använder sig utav skriptade sekvenser som utförs med MUGEN’s egna trigger och state system. Detta system kollar om de skriptade specifierade kraven är uppfyllda för AI:n att ska ”trigga”, utföra den bestämda handlingen. Den mer statiska AI:n har blivit uppby

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Spronck, Pieter Hubert Marie. "Adaptive game AI." [Maastricht] : Maastricht : UPM, Universitaire Pers Maastricht ; University Library, Maastricht University [Host], 2005. http://arno.unimaas.nl/show.cgi?fid=5330.

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Dissanayake, Lekamlage Dilukshi Charitha Subashini Dissanayake, and Fabia Afzal. "AI-based Age Estimation from Mammograms." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20108.

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Background: Age estimation has attracted attention because of its various clinical and medical applications. There are many studies on human age estimation from biomedical images such as X-ray images, MRI, facial images, dental images etc. However, there is no research done on mammograms for age estimation. Therefore, in our research, we focus on age estimation from mammogram images. Objectives: The purpose of this study is to make an AI-based model for estimating age from mammogram images based on the pectoral muscle segment and check its accuracy. At first, we segment the pectoral muscle fro

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Thörn, Oscar. "AI Drummer - Using Learning to EnhanceArti cial Drummer Creativity." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-90637.

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This project explores the usability of Transformers for learning a model that canplay the drums and accompany a human pianist. Building upon previous workusing fuzzy logic systems three experiments are devised to test the usabilityof Transformers. The report also includes a brief survey of algorithmic musicgeneration.The result of the project are that in their current form Transformers cannoteasily learn collaborative music generation. The key insights is that a new wayto encode sequences are needed for collaboration between human and robot inthe music domain. This encoding should be able to h

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Andersson, Oscar, and Tim Andersson. "AI applications on healthcare data." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44752.

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The purpose of this research is to get a better understanding of how different machine learning algorithms work with different amounts of data corruption. This is important since data corruption is an overbearing issue within data collection and thus, in extension, any work that relies on the collected data. The questions we were looking at were: What feature is the most important? How significant is the correlation of features? What algorithms should be used given the data available? And, How much noise (inaccurate or unhelpful captured data) is acceptable? The study is structured to introdu

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Vivaldi, Elena. "Il Child Language Brokering in famiglia: la parola ai genitori." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17641/.

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Oggigiorno, la migrazione ha assunto un carattere sempre più strutturale e, con essa, si sta diffondendo il fenomeno del Child Language Brokering (CLB), ossia la mediazione linguistica e culturale in contesti formali e informali effettuata da bambini e/o adolescenti per i propri genitori, per membri della comunità etnica di appartenenza o altri adulti. La ricerca, fino ad ora, si è principalmente concentrata sull’esperienza dei mediatori, mentre il presente elaborato mira ad approfondire il punto di vista dei genitori. L’obiettivo di questa tesi è quello di raccogliere informazioni sulla loro

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Walsh, B. "My language, our language : Expression and learning in learning." Thesis, University of Sheffield, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379524.

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Pincherle, Matteo. "AI takes chess to the ultimate level." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16114/.

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This thesis takes inspiration from DeepMind's paper about AlphaZero, published last december. Analysing this breakthrough, machine learning and chess-programs themes were treated and after that, experiments and results were presented. The experiments consisted in training chess models specifically on three finals with different settings and analyse them with a generally-trained one. The different settings concern training modalities (supervised-unsupervised learning) and score points assignment (classical and adapted).

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Renman, Casper. "Creating Human-like AI Movement in Games Using Imitation Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210887.

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The way characters move and behave in computer and video games are important factors in their believability, which has an impact on the player’s experience. This project explores Imitation Learning using limited amounts of data as an approach to creating human-like AI behaviour in games, and through a user study investigates what factors determine if a character is human-like, when observed through the characters first-person perspective. The idea is to create or shape AI behaviour by recording one's own actions. The implemented framework uses a Nearest Neighbour algorithm with a KD-tree as th

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Angevine, Travis. "MIMICA: A GENERAL FRAMEWORK FOR SELF-LEARNING COMPANION AI BEHAVIOR." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1593.

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Companion or support characters controlled by Artificial Intelligence (AI) have been a feature of video games for decades. Many Role Playing Games (RPGs) offer a cast of support characters in the player’s party that are AI-controlled to various degrees. Many First Person Shooter (FPS) games include semi-autonomous or fully autonomous AI-controlled companions. Real Time Strategy (RTS) games have traditionally featured large numbers of semi-autonomous characters that collectively help accomplish various tasks (build, attack, etc.) for the player. While RPGs tend to focus on a single or a small n

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SHARMA, GAURAV KUMAR. "AI & BIG DATA IN FINANCIAL SERVICES." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18335.

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Over the past few years, technology has altered the operating psychology of companies. Artificial Intelligence (AI) is becoming increasingly important and in demand, and the financial sector is steadily turning its focus to AI. In a variety of ways, financial institutions are experimenting with and integrating technology. Artificial Intelligence is improving and becoming smarter every day. Investment management companies have embraced Artificial Intelligence at a much faster rate than other industries. This is due to the fact that the financial sector still relies heavily on human involv

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Öhlander, Andersson Lina. "English Language Learning : Student's Perception on Their Own Language Learning." Thesis, Högskolan i Gävle, Avdelningen för humaniora, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-14371.

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This is a qualitative study, which aims at looking closer into how eight students look upon their own English perceiving skills. A qualitative interview method was used to interview eight students in upper secondary school. The participants were four girls and four boys. The result from the interviews have been presented under three different headings, which are as follows: Motivation, Classroom and Acquisition. A lot of studies have been done on the subject of language learning and it has resulted in many theories, and the ones that seemed relevant for this study have been brought up and conn

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Convertini, Luciana. "Classificazione delle emozioni in base ai segnali EEG." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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La tesi si è basata sulla caratterizzazione delle emozioni al fine di comprendere quale siano le diverse metodologie in termini di creazione delle features e di classificazione. In primo luogo, è stata condotta un’analisi anatomica, fisiologica e biologica del sistema nervoso centrale maggiormente coinvolte nel processo emozionale, con particolare riguardo al sistema limbico. In secondo luogo, è stata effettuata una descrizione dell’elettroencefalogramma sia per quanto concerne l’architettura e la sua funzione delle singole componenti nonché la modalità di acquisizione del segnale. Il databa

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Lindén, Edward. "Designing an e-learning approach for UX designers about AI : A workplace e-learning perspective." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279425.

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Organizations need to stay on edge by taking advantage of the opportunities offered by emerging technologies such as Artificial Intelligence (AI). Modern software with AI-features is efficient when the user experience (UX) is not omitted. To generate better user-centered AI-features in software, UX designers need to be more knowledgeable about relevant AI-techniques and take advantage of their affordances. Currently, many UX designers lack such knowledge, and this thesis aims to fill this gap by suggesting a novel e-learning approach focusing on developing UX designers’ knowledge about human-c

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Onnis, Luca. "Statistical language learning." Thesis, University of Warwick, 2003. http://wrap.warwick.ac.uk/54811/.

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Theoretical arguments based on the "poverty of the stimulus" have denied a priori the possibility that abstract linguistic representations can be learned inductively from exposure to the environment, given that the linguistic input available to the child is both underdetermined and degenerate. I reassess such learnability arguments by exploring a) the type and amount of statistical information implicitly available in the input in the form of distributional and phonological cues; b) psychologically plausible inductive mechanisms for constraining the search space; c) the nature of linguistic rep

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McGarry, Theresa. "Language Ideology and Second Language Learning." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/6144.

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Schildt, Alexandra, and Jenny Luo. "Tools and Methods for Companies to Build Transparent and Fair Machine Learning Systems." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279659.

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AI has quickly grown from being a vast concept to an emerging technology that many companies are looking to integrate into their businesses, generally considered an ongoing “revolution” transforming science and society altogether. Researchers and organizations agree that AI and the recent rapid developments in machine learning carry huge potential benefits. At the same time, there is an increasing worry that ethical challenges are not being addressed in the design and implementation of AI systems. As a result, AI has sparked a debate about what principles and values should guide its developmen

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Taherifard, Nima. "AI-assisted Anomalous Event Detection for Connected Vehicles." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42273.

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Connected vehicle networks and future autonomous driving systems call for characterization of risky driving events to improve safety applications and autonomous driving features. Precision of driving event characterization (\gls{dec}) systems in connected vehicles has become increasingly important with the responsive connectivity that is available to the modern vehicles. While risky behavior patterns entail potential safety issues on road networks, the advent of vehicular sensing and vehicular networks cannot guarantee accurate characterization of driving/movement behavior of vehicles and the

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Yik, Ping-chui. "Learning styles and language learning outcomes." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38598073.

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Yik, Ping-chui, and 易平璀. "Learning styles and language learning outcomes." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38598073.

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Pergolini, Diego. "Reinforcement Learning: un caso di studio nell'ambito della Animal-AI Olympics." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19415/.

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Il Reinforcement Learning (RL) ha ottenuto grandi risulti negli ultimi anni, superando l'uomo nei giochi Atari, nel GO ed in e-sports come Starcraft e Dota2. Può però il RL affrontare sfide complesse che richiedono varie abilità cognitive per superare brillantemente situazioni complesse e variegate, come potrebbe fare un animale o un umano? Per dimostrarlo sarà necessario un benchmark robusto e significativo, come la competizione Animal-AI Olympics. I suoi organizzatori hanno messo a disposizione un'arena in cui un agente si muoverà ed interagirà con vari oggetti, con l’obiettivo di procurarsi

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Jilani, Rabia. "Learning static knowledge for AI planning domain models via plan traces." Thesis, University of Huddersfield, 2017. http://eprints.hud.ac.uk/id/eprint/34414/.

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Learning is fundamental to autonomous behaviour and from the point of view of Machine Learning, it is the ability of computers to learn without being programmed explicitly. Attaining such capability for learning domain models for Automated Planning (AP) engines is what triggered research into developing automated domain-learning systems. These systems can learn from training data. Until recent research it was believed that working in dynamically changing and unpredictable environments, it was not possible to construct action models a priori. After the research in the last decade, many systems

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Guimbaud, Jean-Baptiste. "Enhancing Environmental Risk Scores with Informed Machine Learning and Explainable AI." Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10188.

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Dès la conception, des facteurs environnementaux tels que la qualité de l'air ou les habitudes alimentaires peuvent significativement influencer le risque de développer diverses maladies chroniques. Dans la littérature épidémiologique, des indicateurs connus sous le nom de Scores de Risque Environnemental (Environmental Risk Score, ERS) sont utilisés non seulement pour identifier les individus à risque, mais aussi pour étudier les relations entre les facteurs environnementaux et la santé. Une limite de la plupart des ERSs est qu'ils sont exprimés sous forme de combinaisons linéaires d'un nombr

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Delarue, Simon. "Learning on graphs : from algorithms to socio-technical analyses on AI." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAT004.

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Cette thèse aborde le double défi de l'avancement des méthodes d'Intelligence Artificielle (IA) tout en évaluant de manière critique leur impact sociétal. Alors que les techniques d'IA s'intègrent dans des secteurs à décisions critiques comme la santé et la justice, leur influence croissante exige un examen approfondi, reflété dans l'émergence de réglementations internationales telles que l'AI Act en Europe. Pour relever ces défis, ce travail utilise des méthodes à base de graphes attribués et préconise de passer d'un paradigme de modèles axés sur la performance vers des approches qui privilég

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Panesar, Kulvinder. "Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective." Vernon Press, 2020. http://hdl.handle.net/10454/18140.

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Yes<br>This chapter encapsulates the multi-disciplinary nature that facilitates NLP in AI and reports on a linguistically orientated conversational software agent (CSA) (Panesar 2017) framework sensitive to natural language processing (NLP), language in the agent environment. We present a novel computational approach of using the functional linguistic theory of Role and Reference Grammar (RRG) as the linguistic engine. Viewing language as action, utterances change the state of the world, and hence speakers and hearer’s mental state change as a result of these utterances. The plan-based me

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Tersander, Jacob. "AI – Can You Afford To Wait?" Thesis, KTH, Skolan för industriell teknik och management (ITM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241051.

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The paradigm of diffusion research can be traced back all the way to the 1940s when Ryan and Gross investigated the diffusion of hybrid seed among farmers in Iowa. Since the 1960s diffusion research has been applied in a wide variety of disciplines, for instance, to study the diffusion of the Internet and the non-diffusion of the Dvorak keyboard. Currently, the technologies that are on top of the Gartner Hype Cycle are all associated with Artificial Intelligence (AI), which shortly can be defined as learning devices that perceive their environment and take actions to maximize their success at

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Easterbrook, Robert Michael. "The process of vocabulary learning : vocabulary learning strategies and beliefs about language and language learning." Doctoral thesis, importedStudentThesis, 2013. https://researchprofiles.canberra.edu.au/en/studentTheses/f6cd1ea5-ec8d-451b-bb9d-99e446085066.

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Felldin, Markus. "Machine Learning Methods for Fault Classification." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183132.

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This project, conducted at Ericsson AB, investigates the feasibility of implementing machine learning techniques in order to classify dump files for more effi cient trouble report routing. The project focuses on supervised machine learning methods and in particular Bayesian statistics. It shows that a program utilizing Bayesian methods can achieve well above random prediction accuracy. It is therefore concluded that machine learning methods may indeed become a viable alternative to human classification of trouble reports in the near future.<br>Detta examensarbete, utfört på Ericsson AB, ämnar

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Pedrini, Gianmaria. "Rogueinabox: a Rogue environment for AI learning. Framework development and Agents design." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13812/.

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In this thesis we introduce Rogueinabox: a higly modular learning environment built around the videogame Rogue, the father of the roguelike genre. It offers easy ways to interact with the game and a whole framework to build, customize and run learning agents. We discuss the interest and challengies of this game for machine learning and deep learning, and discuss our initial experiments of training. We show the userfulness and convenience of Rogueinabox employing it in combination with QLearning tecniques to build an agent that explores the dungeon.

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Schneider, Allison Frances. "NATIVE LANGUAGE IMPACT ON IMPLICIT LANGUAGE LEARNING." Thesis, The University of Arizona, 2008. http://hdl.handle.net/10150/192981.

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Chen, Yih-Lan. "Motivation and language learning strategies in learning English as a foreign language /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7593.

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Kurén, Jonathan, Simon Leijon, Petter Sigfridsson, and Hampus Widén. "Fault Detection AI For Solar Panels." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413319.

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The increased usage of solar panels worldwide highlights the importance of being able to detect faults in systems that use these panels. In this project, the historical power output (kWh) from solar panels combined with meteorological data was used to train a machine learning model to predict the expected power output of a given solar panel system. Using the expected power output, a comparison was made between the expected and the actual power output to analyze if the system was exposed to a fault. The result was that when applying the explained method an expected output could be created which

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Sagen, Markus. "Large-Context Question Answering with Cross-Lingual Transfer." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440704.

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Models based around the transformer architecture have become one of the most prominent for solving a multitude of natural language processing (NLP)tasks since its introduction in 2017. However, much research related to the transformer model has focused primarily on achieving high performance and many problems remain unsolved. Two of the most prominent currently are the lack of high performing non-English pre-trained models, and the limited number of words most trained models can incorporate for their context. Solving these problems would make NLP models more suitable for real-world application

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