• Empirical analysis of exploration strategies in QMIX

  Colom, Arnau (2021-09)

  In real world scenarios, to solve a gran majority of problems, there is the necessity for different agents to cooperate under the condition of local observations. Fortunately, in the recent years, significant advances ...
• Understanding Alzheimer’s disease progression through phenotypes discovery using manifold learning techniques

  Pattarone, Natalia Karina (2021-07)

  Alzheimer’s disease (AD) is clinically highly heterogeneous, varying in terms of rates of progression, test and cognitive symptoms among patients, as well as from a neuroimaging perspective. In the datasets provided by ...
• Exploring neural paraphrasing to improve fluency of rule-based generation

  Du, Shixiao (2021-09)

  Data-to-text generation is a greatly significant task in the field of natural language processing. FORGe, a typical rule-based generator, has excellent performance in the task of mapping from RDF triples to text. As this ...
• Chatbots as educational assistants: teaching about the digital footprint

  Mancheno Gutiérrez, María Fernanda (2021-07)

  The digital footprint is a trace of everything a user does online. Everyone has one, but not everyone is aware of how to remain safe when being online. Every action a user takes when navigating through the Web or social ...
• Reinforcement learning with options in semi Markov decision processes

  Goswami, Sayan (2021-09)

  The options framework incorporates temporally extended actions (termed options) to the reinforcement learning paradigm. A wide variety of prior works exist that experimentally illustrate the significance of options on ...
• Multilingual lexical simplification

  Pimienta Castillo, Jorge S. (2021-09)

  This report describes, implement, and evaluate one strategy for text simplification, namely, Lexical Simplification, that aims to reduce the complexity of some words in a sentence. This process is done in two main steps, ...
• Thompson sampling for prediction with expert advice

  Sánchez Pérez de Amézaga, Claudio (2021-09)

  We study Thompson Sampling for prediction with expert advice. With Follow the leader, and Follow the perturbed leader strategies, we present relevant results in order to proceed with Thompson Sampling Algorithm. Using a ...
• Learning non-linear payoff transformations in multi-agent systems

  Fraxanet, Emma (2021-09)

  The use of Deep Reinforcement Learning methodologies has been successful in recent years in cooperative multi-agent systems. However, this success has been mostly empirical and there is a lack of theoretical understanding ...
• Selecting features of breathing & stability data to predict stress in students

  Fischer, Johannes Simon (2021-07)

  Repeated or long-time exposure to psychological stress is a risk factor for mental and physical health. Especially students are exposed to stress and lacking stress management skills make them particularly vulnerable to ...
• Predicting the use of car parks in the province of Barcelona

  Moreno Esteban, David (2021-07)

  Designing and generating wiser policies for urban systems and infrastructures is a challenge of paramount importance. Today, the cities that present the most successful transport strategies are prioritising the movement ...
• Modelling the use of car parks in the province of Barcelona

  Ferrer Sánchez, Josep (2021-07)

  Designing and generating wiser policies for urban systems and infrastructures is a challenge of paramount importance. Today, the cities that present the most successful transport strategies are prioritising the movement ...
• Augmenting perceived interpersonal connection with an affective computing-informed video conferencing interface

  LeBeuf, Hilary (2021-08)

  Video conferencing is not only becoming more common in the 21st century, but globalization and the COVID-19 pandemic have shown it to be a crucial part of modern communication and collaboration. Video conferencing may ...
• Assessing orchestration load in teacher-facing dashboards

  Crespi, Francisco (2021-07)

  This thesis project reports the results of a study that assessed the orchestration load of a teacher orchestrating pyramid activities using PyramidApp in an online setting, by observing a combination of data sources, ...
• Dynamic modulation of portable device interface with the assessment of cognitive load using built-in sensors

  Küçüktütüncü, Esen (2021-07)

  With more and more intelligent systems surrounding us, many design decisions and system architectures that facilitate the flow of information and the scope of interaction have become crucial for the sustainability and the ...
• Homeostatic and allostatic principles for behavioral regulation in desert reptiles: a robotic evaluation

  Ngo, Tue (2021-07)

  The survival of living organisms is accomplished through regulatory behaviors. In the case of the specialist Namibian sand-diving lizards, those behaviors are modulated not only in response to external events in their ...
• Uncertainty-based decision-making in reinforcement learning and the distributed adaptive control cognitive architecture

  Talavante Díaz, Pablo (2021-07)

  This thesis explores the role of uncertainty estimation during training in Reinforce- ment Learning as a potential way of increasing sample efficiency, acting as a regu- lator between two subsystems that shape a policy: ...
• Assessing state and trait anxiety through digital phenotyping

  El-Shaarawi, Dara (2021-07)

  Mental health disorders place an immense burden on individuals and have significant personal and social impacts. This has been worsened by the effects of the COVID-19 pandemic, resulting in remote access to healthcare ...
• A virtual training environment using binaural beats as a possible add-on principle for stroke rehabilitation

  Ariki Sten, Anton (2021-08)

  Stroke rehabilitation is putting time, money, and effort into finding adequate imple- mentations of training procedures to help meet the challenges of cognitive deficits in the burden of the disease. Most of these efforts ...
• The bias effect of news media sources on social media users

  Kavas, Hamit (2020-09)

  Bias in media news is such an interesting topic that it increases its popularity day by day. Classification of news sources according to their political tendency is a very well studied subject. However, we have not ...
• Teachers’ acceptance of M-Learning in english language teaching: a mixed methods analysis of the underpinning factors

  Miquel Serrat, Albert (2021-07)

  Historically, performance inequality perpetrates in Catalunya (Generalitat de Catalunya, 2006, 2007), where students from lower socioeconomical possibilities are seen to perform poorer in school, specially at English as ...

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