Listar AC - Artículos por título
Mostrando ítems 46-65 de 65
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On an OptLearn implementation using collaborative filtering.
Fuster López, Alejandro; Guerrero-García, Pablo
; Hendrix, Eligius María Theodorus; Martínez-Cruz, Jesús; Nowak, Ivo (2023)
The aim of the iMath project is to develop a recommender system where a student is recommended a next question or literature in a learning platform MathE. This paper describes the systems developed based on collaborative ... -
On conceptualisation and an overview of learning path recommender systems in e-learning.
Fuster López, Alejandro; Martínez-Cruz, Jesús; Guerrero-García, Pablo; Hendrix, Eligius María Theodorus; Košir, Andrej; Nowak, Ivo; Oneto, Luca; Sirmakessis, Spiros; Pacheco, Maria Fátima; Fernandes, Florbela Pires; Pereira, Ana Isabel[et al.] (2024-06-10)
The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ... -
On Dealing with Minima at the Border of a Simplicial Feasible Area in Simplicial Branch and Bound.
G.-Tóth, Boglárka; Hendrix, Eligius María Theodorus; Casado, Leocadio G.; Messine, Fréderic (Springer Nature, 2024-07-22)
We consider a simplicial branch and bound Global Optimization algorithm, where the search region is a simplex. Apart from using longest edge bisection, a simplicial partition set can be reduced due to monotonicity of the ... -
On decomposition and multiobjective-based column and disjunctive cut generation for MINLP.
Muts, Pavlo; Nowak, Ivo; Hendrix, Eligius María Theodorus (Springer Nature, 2020)
Most industrial optimization problems are sparse and can be formulated as block- separable mixed-integer nonlinear programming (MINLP) problems, defined by linking low-dimensional sub-problems by (linear) coupling constraints. ... -
On how to improve tracklet-based gait recognition systems
Marín-Jiménez, Manuel J.; Castro Payán, Francisco Manuel; Carmona-Poyato, Ángel; Guil-Mata, Nicolás (Elsevier, 2015-12-15)
Abstract Recently, short-term dense trajectories features (DTF) have shown state-of-the-art results in video recognition and retrieval. However, their use has not been extensively studied on the problem of gait recognition. ... -
On Optimizing Ensemble Models using Column Generation.
Aziz, Vanya; Wu, Ouyang; Nowak, Ivo; Hendrix, Eligius María Theodorus; Kronqvist, Jan (Springer Nature, 2024-02-22)
In recent years, an interest appeared in integrating various optimization algorithms in machine learning. We study the potential of ensemble learning in classification tasks and how to efficiently decompose the underlying ... -
On Order Policies for a Perishable Product in Retail.
Hendrix, Eligius María Theodorus; Pauls-Worm, Karin G.J.; De Jong, Maartje V. (Vilnius University Press, 2023-05)
We study an inventory control problem of a perishable product with a fixed short shelf life in Dutch retail practice. The demand is non-stationary during the week but stationary over the weeks, with mixed LIFO and FIFO ... -
On order policies with pre-specified order schedules for a perishable product in retail.
This paper studies a retail inventory system for a perishable product, based on a practical setting in Dutch retail. The product has a fixed shelf life of three days upon delivery at the store and product demand has a ... -
Privatizing Transactions for Lee's Algorithm in Commercial Hardware Transactional Memory
Quislant-del-Barrio, Ricardo; Gutiérrez-Carrasco, Eladio Damián; López-Zapata, Emilio; Plata-González, Óscar Guillermo (Springer, 2018)
Lee’s algorithm solves the path-connection problems that arise in logical drawing, wiring diagramming or optimal route finding. Its parallel version has been widely used as a benchmark to test transactional memory systems. ... -
SeqMatcher: efficient genome sequence matching with AVX-512 extensions
Espinosa, Elena; Quislant-del-Barrio, Ricardo; Larrosa-Jiménez, Rafael; Plata-González, Óscar Guillermo (Springer Nature, 2024-12)
The recent emergence of long-read sequencing technologies has enabled substan- tial improvements in accuracy and reduced computational costs. Nonetheless, pair- wise sequence alignment remains a time-consuming step in ... -
Un sistema de evaluación de innumerables variantes para tiempos de confinamiento.
Romero, Javier; Romero, Felipe; Bandera-Burgueño, Gerardo; Romero-Gómez, Luis Felipe; Romero, Felipe (Universidad de Las Palmas de Gran Canaria, 2020)
En apenas unos meses, y debido a la pandemia mundial del COVID19, se ha producido un cambio dramático en el contexto educativo que ha obligado a los docentes de todo el mundo a resolver problemas académicos que inmediatamente ... -
SkewEngine: enhancing performance of intensive calculations on regular meshes
Romero, Felipe; Ortigosa, Pilar M.; Bandera-Burgueño, Gerardo; Romero-Gómez, Luis Felipe (Springer Nature, 2024-02-24)
In various applications such as hyperspectral data manipulation, MRI data exploration, or viewshed identification in digital elevation models, performing arithmetic operations on each point of a data mesh that involves ... -
Speculative Barriers with Transactional Memory
Pedrero-Luque, Manuel; Quislant-del-Barrio, Ricardo; Gutiérrez-Carrasco, Eladio Damián; López-Zapata, Emilio; Plata-González, Óscar Guillermo (IEEE, 2020-12-14)
Transactional Memory (TM) is a synchronization model for parallel programming which provides optimistic concurrency control. Transactions can run in parallel and are only serialized in case of conflict. In this work we use ... -
Teaching the Cache Memory System Using a Reconfigurable Approach
Quislant-del-Barrio, Ricardo; Herruzo, Ezequiel; Plata-González, Óscar Guillermo; Benavides, Jose Ignacio; Zapata, Emilio L. (IEEE, 2008)
This paper presents a tool that simulates a reconfigurable cache whose parameters can be changed at runtime through a special instruction at the instruction set architecture (ISA) level. The proposed tool simulates a cache ... -
The decomposition-based outer approximation algorithm for convex mixed-integer nonlinear programming.
Muts, Pavlo; Nowak, Ivo; Hendrix, Eligius María Theodorus (Springer Nature, 2020)
This paper presents a new two-phase method for solving convex mixed-integer nonlinear programming (MINLP) problems, called Decomposition-based Outer Approximation Algo- rithm (DECOA). In the first phase, a sequence of ... -
Time series analysis acceleration with advanced vectorization extensions
Quislant-del-Barrio, Ricardo; Fernández-Vega, Iván; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (Springer, 2023)
Time series analysis is an important research topic and a key step in monitoring and predicting events in many felds. Recently, the Matrix Profle method, and particularly two of its Euclidean-distance-based implementations—SCRIMP ... -
TraTSA: A Transprecision Framework for Efficient Time Series Analysis
Fernández-Vega, Iván; Quislant-del-Barrio, Ricardo; González-Navarro, Sonia; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (Elsevier, 2022-09)
Time series analysis (TSA) comprises methods for extracting information in domains as diverse as medicine, seismology, speech recognition and economics. Matrix Profile (MP) is the state-of-the-art TSA technique, which ... -
Unbiased Rounding for HUB Floating-point Addition
Villalba-Moreno, Julio; Hormigo-Aguilar, Javier; González-Navarro, Sonia (2018-06-28)
Half-Unit-Biased (HUB) is an emerging format based on shifting the represented numbers by half Unit in the Last Place. This format simplifies two’s complement and roundto- nearest operations by preventing any carry ... -
VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera.
Sánchez Fernández, Antonio Jesús; Romero-Gómez, Luis Felipe; Bandera-Burgueño, Gerardo; Tabik, Siham (IEEE, 2021-12-13)
The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many ...