Ponències/Comunicacions de congressos
Recent Submissions
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Finding relevant information in big datasets with ML
(OpenProceedings, 2024)
Conference lecture
Open AccessDue to the abundance of data, noisy, irrelevant, or redundant features often need to be identified and discarded. Feature selection is a collection of methods used to ensure that only relevant data are used for a data ... -
Effect of color palettes in heatmaps perception: a study
(European Association for Computer Graphics (Eurographics), 2023)
Conference lecture
Open AccessHeatmaps are a widely used technique in visualization. Unfortunately, they have not been investigated in depth and little is known about the best parameterizations so that they are properly interpreted. The effect of ... -
Exploring the role of expected collision feedback in crowded virtual environments
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessAn increasing number of virtual reality applications require environments that emulate real-world conditions. These environments often involve dynamic virtual humans showing realistic behaviors. Understanding user perception ... -
A data-science pipeline to enable the interpretability of many-objective feature selection
(CEUR-WS.org, 2024)
Conference lecture
Open AccessMany-Objective Feature Selection (MOFS) approaches use four or more objectives to determine the relevance of a subset of features in a supervised learning task. As a consequence, MOFS typically returns a large set of ... -
Performance analysis of distributed GPU-accelerated task-based workflows
(OpenProceedings, 2024)
Conference report
Open AccessWe present an empirical approach to identify the key factors affecting the execution performance of task-based workflows on a High Performance Computing (HPC) infrastructure composed of heterogeneous CPU-GPU clusters. Our ... -
Do DL models and training environments have an impact on energy consumption?
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessCurrent research in the computer vision field mainly focuses on improving Deep Learning (DL) correctness and inference time performance. However, there is still little work on the huge carbon footprint that has training ... -
Adaptive task-oriented chatbots using feature-based knowledge bases
(Springer, 2023)
Conference lecture
Open AccessTask-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, ... -
Mobile feature-oriented knowledge base generation using knowledge graphs
(Springer, 2023)
Conference lecture
Open AccessKnowledge bases are centralized repositories used for developing knowledge-oriented information systems. They are essential for adaptive, specialized knowledge in dialogue systems, supporting up-to-date domain-specific ... -
Modeling context-aware events and responses in an IoT environment
(Springer, 2023)
Conference report
Open AccessThe Internet of Things (IoT) involves the use of devices that exchange information about the state of things in the real world. In IoT, monitoring is regarded to be the most fully researched use case. However, research on ... -
Monitoring, IoT devices, and semantics
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference lecture
Open AccessEfforts to improve Internet of Things (IoT) device interoperability for monitoring are still required. This demo paper proposes monitoring infrastructure safety and security with the use of semantics. We make use of an ... -
Animation fidelity in self-avatars: impact on user performance and sense of agency
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessThe use of self-avatars is gaining popularity thanks to affordable VR headsets. Unfortunately, mainstream VR devices often use a small number of trackers and provide low-accuracy animations. Previous studies have shown ... -
Chatbots4Mobile: Feature-oriented knowledge base generation using natural language
(CEUR-WS.org, 2023)
Conference report
Open AccessChatbots4Mobile is a research project from the GESSI research group (UPC-BarcelonaTech) which aims at designing and developing a task oriented, knowledge based conversational agent to support mobile users in the process ...
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