Miguel Molina Solana
Contact
miguelmolina6wL0S8_@ugr.es
Organization
UGR| Total | From 2019: | |
|---|---|---|
| Citas | Total: 1455 | From 2019: 1191 |
| Índice H | Total: 21 | From 2019: 18 |
| Índice i10 | Total: 31 | From 2019: 26 |
Papers (74)
| Title | Authors | Year |
|---|---|---|
| An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control | A Manjavacas, A Campoy-Nieves, J Jiménez-Raboso, M Molina-Solana, .... | 2024 |
| Can Deep Learning Search for Exceptional Chiroptical Properties? The Halogenated [6] Helicene Case | RG Uceda, A Gijón, S Míguez-Lago, C Moreno-Cruz, V Blanco, .... | 2024 |
| LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism | V Tammisetti, K Bierzynski, G Stettinger, DP Morales-Santos, MP Cuellar, .... | 2024 |
| Explainable Hybrid Semi-parametric Model for Prediction of Power Generated by Wind Turbines | A Gijón, S Eiraudo, A Manjavacas, L Bottaccioli, A Lanzini, .... | 2024 |
| Graph-neural-network potential energy surface to speed up Monte Carlo simulations of water cluster anions | A Gijón, M Molina-Solana, J Gómez-Romero. | 2024 |
| Detection of conspiracy-related messages in Telegram with anonymized named entities | J Gómez-Romero, S González-Silot, A Montoro-Montarroso, .... | 2024 |
| Exploring Deep Reinforcement Learning Algorithms for Enhanced HVAC Control | A Manjavacas, A Campoy-Nieves, M Molina-Solana, J Gómez-Romero. | 2024 |
| Physics-informed neural networks for data-driven simulation: Advantages, limitations, and opportunities | FF de la Mata, A Gijón, M Molina-Solana, J Gómez-Romero. | 2023 |
| Graph Neural Network Potentials for Molecular Dynamics Simulations of Water Cluster Anions | A Gijón, M Molina-Solana, J Gómez-Romero. | 2023 |
| Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification | A Gijón, A Pujana-Goitia, E Perea, M Molina-Solana, J Gómez-Romero. | 2023 |
| IBERIFIER Reports: Is the ‘AI toolbox for disinformation’ready? | A Montoro-Montarroso, D Camacho, A Martin, J Torregrosa, P Rosso, .... | 2023 |
| IBERIFIER Reports: Analysis of the Impact of Disinformation on Political, Economic, Social and Security Issues, Governance Models and Good Practices: The cases of Spain and … | AÁ Badillo-Matos, F Arteaga, V Baldi, M Paisana, M Crespo, G Cardoso, .... | 2023 |
| Explaining Deep Reinforcement Learning-Based Methods for Control of Building HVAC Systems | J Jiménez-Raboso, A Manjavacas, A Campoy-Nieves, M Molina-Solana, .... | 2023 |
| Automating look-ahead schedule generation for construction using linked-data based constraint checking and reinforcement learning | RK Soman, M Molina-Solana. | 2022 |
| CntrlDA: A building energy management control system with real-time adjustments. Application to indoor temperature | A Dmitrewski, M Molina-Solana, R Arcucci. | 2022 |
| GenoMus: Representing Procedural Musical Structures with an Encoded Functional Grammar Optimized for Metaprogramming and Machine Learning | J López-Montes, M Molina-Solana, W Fajardo. | 2022 |
| Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling | I Huitzil, M Molina-Solana, J Gómez-Romero, F Bobillo. | 2021 |
| Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams | HM Gan, S Fernando, M Molina-Solana. | 2021 |
| Sinergym: a building simulation and control framework for training reinforcement learning agents | J Jiménez-Raboso, A Campoy-Nieves, A Manjavacas-Lucas, .... | 2021 |
| Towards Data-Driven Simulation Models for Building Energy Management | J Gómez-Romero, M Molina-Solana. | 2021 |
| Variational gaussian process for optimal sensor placement | G Tajnafoi, R Arcucci, L Mottet, C Vouriot, M Molina-Solana, C Pain, .... | 2021 |
| A time-series clustering methodology for knowledge extraction in energy consumption data | LGB Ruiz, MC Pegalajar, R Arcucci, M Molina-Solana. | 2020 |
| Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction | RK Soman, M Molina-Solana, JK Whyte. | 2020 |
| Towards a large-scale Twitter observatory for political events | S Fernando, JAD López, O Şerban, J Gómez-Romero, M Molina-Solana, .... | 2020 |
| A case study on understanding energy consumption through prediction and visualization (VIMOEN) | LGB Ruiz, MC Pegalajar, M Molina-Solana, YK Guo. | 2020 |
| Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation | J Mack, R Arcucci, M Molina-Solana, YK Guo. | 2020 |
| Do the shuffle: Exploring reasons for music listening through shuffled play | KRM Sanfilippo, N Spiro, M Molina-Solana, A Lamont. | 2020 |
| Tuoris: A middleware for visualizing dynamic graphics in scalable resolution display environments | V Martínez, S Fernando, M Molina-Solana, Y Guo. | 2020 |
| Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations | S Fernando, J Scott-Brown, O Şerban, D Birch, D Akroyd, .... | 2020 |
| Weak Constraint Gaussian Processes for optimal sensor placement | TH Dur, R Arcucci, L Mottet, MM Solana, C Pain, YK Guo. | 2020 |
| A probabilistic algorithm for predictive control with full-complexity models in non-residential buildings | J Gomez-Romero, CJ Fernandez-Basso, MV Cambronero, .... | 2019 |
| Not all lies are equal. A study into the engineering of political misinformation in the 2016 US presidential election | A Oehmichen, K Hua, JAD López, M Molina-Solana, J Gomez-Romero, .... | 2019 |
| Compositional Microservices for Immersive Social Visual Analytics | S Fernando, D Birch, M Molina-Solana, D Mcilwraith, Y Guo. | 2019 |
| Hybrid Data Assimilation: An Ensemble-Variational Approach | EM Lim, MM Solana, C Pain, YK Guo, R Arcucci. | 2019 |
| Generalised Regression Hypothesis Induction for Energy Consumption Forecasting | R Rueda Delgado, M Pegalajar Cuéllar, MJ Molina Solana, YK Guo, .... | 2019 |
| Towards easy-to-implement misinformation automatic detection for online social media. | JCAD López, M Molina-Solana, J Gómez-Romero. | 2019 |
| Towards self-adaptive building energy control in smart grids | J Gómez-Romero, M Molina-Solana. | 2019 |
| The improvisational state of mind: A multidisciplinary study of an improvisatory approach to classical music repertoire performance | D Dolan, HJ Jensen, PAM Mediano, M Molina-Solana, H Rajpal, F Rosas, .... | 2018 |
| Visualizing large knowledge graphs: A performance analysis | J Gómez-Romero, M Molina-Solana, A Oehmichen, Y Guo. | 2018 |
| Comfort as a Service: A New Paradigm for Residential Environmental Quality Control | J Gómez-Romero, M Molina-Solana, M Ros, M Ruiz, M Martin-Bautista. | 2018 |
| Deep Learning for Fake News Classification | M Molina-Solana, J Amador, JG Romero. | 2018 |
| foo.castr: visualising the future AI workforce | J Amador Diaz Lopez, M Molina-Solana, MT Kennedy. | 2018 |
| A software tool for categorizing violin student renditions by comparison | M Delgado, W Fajardo, M Molina-Solana. | 2018 |
| GraphDL: An Ontology for Linked Data Visualization | J Gómez-Romero, M Molina-Solana. | 2018 |
| Data science for building energy management: A review | M Molina-Solana, M Ros, MD Ruiz, J Gómez-Romero, MJ Martín-Bautista. | 2017 |
| Improving data exploration in graphs with fuzzy logic and large-scale visualisation | M Molina-Solana, D Birch, Y Guo. | 2017 |
| Information fusion from multiple databases using meta-association rules | MD Ruiz, J Gómez-Romero, M Molina-Solana, M Ros, MJ Martin-Bautista. | 2017 |
| Characterizing Political Fake News in Twitter by its Meta-Data | J Amador, A Oehmichen, M Molina-Solana. | 2017 |
| A Game Based e-Learning System to Teach Artificial Intelligence in the Computer Sciences Degree. | A de Castro-Santos, W Fajardo, M Molina-Solana. | 2017 |
| Visualizing Dynamic Bitcoin Transaction Patterns | D McGinn, D Birch, D Akroyd, M Molina-Solana, Y Guo, WJ Knottenbelt. | 2016 |
| Meta-association rules for mining interesting associations in multiple datasets | MD Ruiz, J Gómez-Romero, M Molina-Solana, JR Campaña, .... | 2016 |
| Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm | M Ros, M Molina-Solana, M Delgado, W Fajardo, A Vila. | 2016 |
| Advances in Data Science for Building Energy Management | J Gómez-Romero, MD Ruiz, C Fernández-Basso, M Molina-Solana, .... | 2016 |
| A fuzzy extension of the semantic Building Information Model | J Gómez-Romero, F Bobillo, M Ros, M Molina-Solana, MD Ruiz, .... | 2015 |
| Representation model and learning algorithm for uncertain and imprecise multivariate behaviors, based on correlated trends | M Delgado, W Fajardo, M Molina-Solana. | 2015 |
| Intelligent Tutoring System, Based on Video E-learning, for Teaching Artificial Intelligence | A Bailón, W Fajardo, M Molina-Solana. | 2015 |
| Unifying fuzzy controller for IEQ: implementation in a Raspberry Pi | M Molina-Solana, M Ros, M Delgado. | 2015 |
| Learning User Activities from Energy Demand Profiles | M Ros, M Molina-Solana, MJ Martin-Bautista, M Delgado, MA Vila. | 2015 |
| Unifying fuzzy controller for indoor environment quality | M Molina-Solana, M Ros, M Delgado. | 2013 |
| e-Learning software for improving student's music performance using comparisons | M Delgado, W Fajardo, M Molina-Solana. | 2013 |
| Has FQAS Something to Say on Taking Good Care of Our Elders? | M Ros, M Molina-Solana, M Delgado. | 2013 |
| Correlated Trends: A New Representation for Imperfect and Large Dataseries | M Delgado, W Fajardo, M Molina-Solana. | 2013 |
| Pattern Characterization in Multivariate Data Series using Fuzzy Logic | W Fajardo, M Molina-Solana, MC Valenza. | 2012 |
| Representation of uncertain and imprecise behaviors and its application to music performance | M Molina Solana. | 2012 |
| A state of the art on computational music performance | M Delgado, W Fajardo, M Molina-Solana. | 2011 |
| Mining transposed motifs in music | A Jiménez, M Molina-Solana, F Berzal, W Fajardo. | 2011 |
| Identifying violin performers by their expressive trends | M Molina-Solana, J Lluís Arcos, E Gomez. | 2010 |
| Evidence for Pianist-specific Rubato Style in Chopin Nocturnes. | M Molina-Solana, M Grachten, G Widmer. | 2010 |
| Nature versus culture in ritardando performances | M Molina-Solana, M Grachten. | 2010 |
| Inmamusys: Intelligent multiagent music system | M Delgado, W Fajardo, M Molina-Solana. | 2009 |
| Mining musical patterns: Identification of transposed motives | F Berzal, W Fajardo, A Jiménez, M Molina-Solana. | 2009 |
| Using Expressive Trends for Identifying Violin Performers | M Molina-Solana, JL Arcos, E Gomez. | 2008 |
| Learning Violinist’s Expressive Trends | M Molina-Solana, JL Arcos, E Gomez. | 2008 |
Descargando datos de la publicación