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Miguel Molina-Solana
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2020 – today
- 2024
- [j22]Antonio Manjavacas, Alejandro Campoy-Nieves, Javier Jiménez Raboso, Miguel Molina-Solana, Juan Gómez-Romero:
An experimental evaluation of deep reinforcement learning algorithms for HVAC control. Artif. Intell. Rev. 57(7): 173 (2024) - [j21]Alfonso Gijón
, Miguel Molina-Solana, Juan Gómez-Romero:
Graph-neural-network potential energy surface to speed up Monte Carlo simulations of water cluster anions. J. Comput. Sci. 81: 102383 (2024) - [c21]Juan Gómez-Romero, Santiago González-Silot, Andrés Montoro-Montarroso, Miguel Molina-Solana, Eugenio Martínez Cámara:
Detection of conspiracy-related messages in Telegram with anonymized named entities. CLEF (Working Notes) 2024: 2603-2612 - [c20]Alfonso Gijón
Explainable Hybrid Semi-parametric Model for Prediction of Power Generated by Wind Turbines. ICCS (5) 2024: 299-306 - [i4]Antonio Manjavacas, Alejandro Campoy-Nieves, Javier Jiménez Raboso, Miguel Molina-Solana, Juan Gómez-Romero:
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control. CoRR abs/2401.05737 (2024) - 2023
- [c19]Alfonso Gijón
Graph Neural Network Potentials for Molecular Dynamics Simulations of Water Cluster Anions. ICCS (4) 2023: 336-343 - [c18]Javier Jiménez Raboso
Explaining Deep Reinforcement Learning-Based Methods for Control of Building HVAC Systems. xAI (2) 2023: 237-255 - [i3]Alfonso Gijón
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification. CoRR abs/2307.14675 (2023) - 2021
- [j20]Ignacio Huitzil, Miguel Molina-Solana
Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling. Appl. Soft Comput. 103: 107158 (2021) - [j19]Huan Min Gan, Senaka Fernando, Miguel Molina-Solana:
Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams. Expert Syst. Appl. 182: 115154 (2021) - [c17]Juan Gómez-Romero
Towards Data-Driven Simulation Models for Building Energy Management. ICCS (5) 2021: 401-407 - [c16]Javier Jiménez Raboso
Sinergym: a building simulation and control framework for training reinforcement learning agents. BuildSys@SenSys 2021: 319-323 - [i2]Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo:
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR abs/2101.02121 (2021) - 2020
- [j18]Luis Gonzaga Baca Ruiz
A time-series clustering methodology for knowledge extraction in energy consumption data. Expert Syst. Appl. 160: 113731 (2020) - [j17]Víctor Martínez, Senaka Fernando, Miguel Molina-Solana
Tuoris: A middleware for visualizing dynamic graphics in scalable resolution display environments. Future Gener. Comput. Syst. 106: 559-571 (2020) - [j16]Senaka Fernando, Julio Amador Díaz López
Towards a large-scale twitter observatory for political events. Future Gener. Comput. Syst. 110: 976-983 (2020) - [j15]Senaka Fernando, James Scott-Brown
Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations. Future Gener. Comput. Syst. 112: 785-799 (2020) - [j14]Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet
Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. 42: 101110 (2020)
2010 – 2019
- 2019
- [j13]Juan Gómez-Romero
A Probabilistic Algorithm for Predictive Control With Full-Complexity Models in Non-Residential Buildings. IEEE Access 7: 38748-38765 (2019) - [j12]Axel Oehmichen
Not All Lies Are Equal. A Study Into the Engineering of Political Misinformation in the 2016 US Presidential Election. IEEE Access 7: 126305-126314 (2019) - [c15]Senaka Fernando, David Birch, Miguel Molina-Solana, Douglas McIlwraith, Yike Guo:
Compositional Microservices for Immersive Social Visual Analytics. IV (1) 2019: 216-223 - [c14]Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS 2019: 633-640 - [c13]Julio César Amador Díaz López, Miguel Molina-Solana, Juan Gómez-Romero:
Towards easy-to-implement misinformation automatic detection for online social media. TTO 2019 - 2018
- [j11]Juan Gómez-Romero
Visualizing large knowledge graphs: A performance analysis. Future Gener. Comput. Syst. 89: 224-238 (2018) - [c12]Miguel Delgado, Waldo Fajardo
A Software Tool for Categorizing Violin Student Renditions by Comparison. CAEPIA 2018: 330-340 - [c11]Juan Gómez-Romero, Miguel Molina-Solana:
GraphDL: An Ontology for Linked Data Visualization. CAEPIA 2018: 351-360 - 2017
- [j10]Miguel Molina-Solana
Improving data exploration in graphs with fuzzy logic and large-scale visualisation. Appl. Soft Comput. 53: 227-235 (2017) - [j9]M. Dolores Ruiz
Information fusion from multiple databases using meta-association rules. Int. J. Approx. Reason. 80: 185-198 (2017) - [i1]Julio Amador Díaz López
Characterizing Political Fake News in Twitter by its Meta-Data. CoRR abs/1712.05999 (2017) - 2016
- [j8]M. Dolores Ruiz
Meta-association rules for mining interesting associations in multiple datasets. Appl. Soft Comput. 49: 212-223 (2016) - [j7]Dan McGinn, David Birch
Visualizing Dynamic Bitcoin Transaction Patterns. Big Data 4(2): 109-119 (2016) - [j6]María Ros, Miguel Molina-Solana
Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm. Fuzzy Sets Syst. 285: 199-216 (2016) - 2015
- [j5]Miguel Delgado, Waldo Fajardo
Representation model and learning algorithm for uncertain and imprecise multivariate behaviors, based on correlated trends. Appl. Soft Comput. 36: 589-598 (2015) - [c10]Miguel Molina-Solana, María Ros, Miguel Delgado:
Unifying fuzzy controller for IEQ: implementation in a Raspberry Pi. IFSA-EUSFLAT 2015 - [c9]María Ros, Miguel Molina-Solana, María José Martín Bautista, Miguel Delgado, Maria-Amparo Vila:
Learning User Activities from Energy Demand Profiles. IFSA-EUSFLAT 2015 - [c8]Antonio B. Bailón, Waldo Fajardo Contreras
Intelligent Tutoring System, Based on Video E-learning, for Teaching Artificial Intelligence. PAAMS (Special Sessions) 2015: 215-224 - 2013
- [c7]María Ros, Miguel Molina-Solana, Miguel Delgado:
Has FQAS Something to Say on Taking Good Care of Our Elders? FQAS 2013: 57-66 - [c6]Miguel Delgado, Waldo Fajardo
Correlated Trends: A New Representation for Imperfect and Large Dataseries. FQAS 2013: 305-316 - [c5]Miguel Molina-Solana, María Ros, Miguel Delgado:
Unifying fuzzy controller for indoor environment quality. IFSA/NAFIPS 2013: 1080-1085 - 2012
- [c4]Waldo Fajardo, Miguel Molina-Solana, M. C. Valenza:
Pattern Characterization in Multivariate Data Series using Fuzzy Logic - Applications to e-Health. DCNET/ICE-B/OPTICS 2012: 123-128 - 2011
- [j4]Miguel Delgado, Waldo Fajardo
A state of the art on computational music performance. Expert Syst. Appl. 38(1): 155-160 (2011) - [j3]Aída Jiménez, Miguel Molina-Solana
Mining transposed motifs in music. J. Intell. Inf. Syst. 36(1): 99-115 (2011) - 2010
- [j2]Miguel Molina-Solana
Identifying violin performers by their expressive trends. Intell. Data Anal. 14(5): 555-571 (2010) - [c3]Miguel Molina-Solana, Maarten Grachten, Gerhard Widmer:
Evidence for Pianist-specific Rubato Style in Chopin Nocturnes. ISMIR 2010: 225-230
2000 – 2009
- 2009
- [j1]Miguel Delgado, Waldo Fajardo
Inmamusys: Intelligent multiagent music system. Expert Syst. Appl. 36(3): 4574-4580 (2009) - [c2]Fernando Berzal
Mining Musical Patterns: Identification of Transposed Motives. ISMIS 2009: 271-280 - 2008
- [c1]Miguel Molina-Solana, Josep Lluís Arcos, Emilia Gómez:
Using Expressive Trends for Identifying Violin P erformers. ISMIR 2008: 495-500
Coauthor Index
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last updated on 2024-08-23 18:35 CEST by the dblp team
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