Doctorat en Computació
Collections in this community
-
Articles de revista [48]
-
Llibres [1]
Recent Submissions
-
Simulation of mechanical weathering for modeling rocky terrains
(European Association for Computer Graphics (Eurographics), 2024)
Conference report
Open AccessSynthetic terrains play a vital role in various applications, including entertainment, training, and simulation. This work focuses on rocky terrains akin to those found in alpine environments, which contain many complex ... -
Hyppo: using equivalences to optimize pipelines in exploratory machine learning
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessWe present HYPPO, a novel system to optimize pipelines encountered in exploratory machine learning. HYPPO exploits alternative computational paths of artifacts from past executions to derive better execution plans while ... -
Accelerating long sequence alignment using processing-in-memory
(2024-06-18)
Research report
Open AccessRecent advances in sequencing technologies have made sequence analysis algorithms a fundamental tool for genomics and healthcare research. In particular, sequence alignment is a fundamental building block present in numerous ... -
Effects of colour and scene dynamism on visual fatigue in animated films
(Springer, 2024-11-04)
Article
Open AccessAnimated films are highly popular in society, particularly among children and adolescents. During film production, selecting an adequate colour palette and scene dynamism is crucial for creating a visual impact on the ... -
Virtual reality inspection of chromatin 3D and 2D data
(Elsevier, 2024-11)
Article
Open AccessUnderstanding the packing of long DNA strands into chromatin is one of the ultimate challenges in genomic research. An intrinsic part of this complex problem is studying the chromatin’s spatial structure. Biologists ... -
Mitigating data sparsity in integrated data through text conceptualization
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessWe study the data sparsity problem for data generated from an integration system. We approach the problem from a textual information extraction perspective and propose to conceptualize external documents using the concepts ... -
Stretch your reach: studying self-avatar and controller misalignment in virtual reality interaction
(Association for Computing Machinery (ACM), 2024)
Conference report
Open AccessImmersive Virtual Reality typically requires a head-mounted display (HMD) to visualize the environment and hand-held controllers to interact with the virtual objects. Recently, many applications display full-body avatars ... -
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 ... -
Rendering piecewise approximations of SDFs through analytic intersections
(Elsevier, 2024-08)
Article
Open AccessSigned distance fields (SDFs) have emerged as an alternative shape representation for real-time collision detection and lighting effects. Computing these for complex models can be expensive, so one popular approach is to ... -
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 ...
RSS 1.0