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Profile Details
Contact
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Hire Dr. Miguel Molina-Solana
United Kingdom
Profile Summary
Summary details not provided.
Subject Matter Expertise
Services
  • Services details not provided.
Work Experience

Athenea3i postdoctoral fellow

Universidad de Granada

September 2019 - Present

Marie Curie Research Fellow

Imperial College London

June 2017 - May 2019

Research associate on Data Visualisation

Imperial College London

October 2015 - May 2017

Postdoc researcher at EnergyInTime EU project

Universidad de Granada

October 2013 - September 2015

Education

PhD Computer Science

Universidad de Granada

- June 2012

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
(2019). Towards a large-scale twitter observatory for political events . Future Generation Computer Systems.
Miguel Molina-Solana, R.Rueda, M.P. Cuéllar, Y. Guo, Mª Carmen Pegalajar (2019). Generalised Regression Hypothesis Induction for Energy Consumption Forecasting . Energies.
Miguel Molina-Solana, Juan Gomez-Romero, Carlos J. Fernandez-Basso, M. Victoria Cambronero, Jesus R. Campana, M. Dolores Ruiz, Maria J. Martin-Bautista(2019). A Probabilistic Algorithm for Predictive Control With Full-Complexity Models in Non-Residential Buildings . {IEEE} Access. 7. p. 38748--38765. Institute of Electrical and Electronics Engineers ({IEEE})
Miguel Molina-Solana, Axel Oehmichen, Kevin Hua, Julio Amador Diaz Lopez, Juan Gomez-Romero, Yi-ke Guo(2019). Not All Lies Are Equal. A Study Into the Engineering of Political Misinformation in the 2016 {US} Presidential Election . {IEEE} Access. 7. p. 126305--126314. Institute of Electrical and Electronics Engineers ({IEEE})
Miguel Molina-Solana, Juan Gómez-Romero, Axel Oehmichen, Yike Guo(2018). Visualizing large knowledge graphs: A performance analysis . Future Generation Computer Systems. 89. p. 224--238. Elsevier {BV}
Miguel Molina-Solana, Julio Amador Diaz Lopez, Mark T. Kennedy(2018). foo.castr: visualising the future {AI} workforce . Big Data Analytics. 3. (1). Springer Nature
Miguel Molina-Solana, Juan Gómez-Romero, María Ros, M. Ruiz, M. Martin-Bautista (2018). Comfort as a Service: A New Paradigm for Residential Environmental Quality Control . Sustainability.
Miguel Molina-Solana, Juan Gómez Romero, María Ros, M. Dolores Ruiz, M. J. Martin-Bautista (2018). Comfort as a Service: A New Paradigm for Residential Environmental Quality Control . Sustainability.
Miguel Molina-Solana, David Birch, Yi-ke Guo(2017). Improving data exploration in graphs with fuzzy logic and large-scale visualisation . Applied Soft Computing. 53. p. 227--235. Elsevier {BV}
M.D. Ruiz, J. Gómez-Romero, M. Molina-Solana, M. Ros, M.J. Martin-Bautista(2017). Information fusion from multiple databases using meta-association rules . International Journal of Approximate Reasoning. 80. p. 185--198. Elsevier {BV}
Miguel Molina-Solana and María Ros and M. Dolores Ruiz and Juan Gómez-Romero and M.J. Martin-Bautista(2017). Data science for building energy management: A review . Renewable and Sustainable Energy Reviews. 70. p. 598 - 609.
M.D. Ruiz, J. Gómez-Romero, M. Molina-Solana, J.R. Campaña, M.J. Martin-Bautista(2016). Meta-association rules for mining interesting associations in multiple datasets . Applied Soft Computing. 49. p. 212--223. Elsevier {BV}
Miguel Molina-Solana, María Ros, Miguel Delgado, Waldo Fajardo, Amparo Vila(2016). Transcribing Debussy{\textquotesingle}s Syrinx dynamics through Linguistic Description: The {MUDELD} algorithm . Fuzzy Sets and Systems. 285. p. 199--216. Elsevier {BV}
Ros, M., Molina-Solana, M., Delgado, M., Fajardo, W., Vila, A.(2016). Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm . Fuzzy Sets and Systems. 285. p. 199-216.
Dan McGinn and David Birch and David Akroyd and Miguel Molina-Solana and Yi-ke Guo and William Knottenbelt(2016). Visualizing dynamic Bitcoin transaction patterns . Big Data. 4. (2). p. 109--119.
Miguel Molina-Solana, Miguel Delgado, Waldo Fajardo(2015). Representation model and learning algorithm for uncertain and imprecise multivariate behaviors, based on correlated trends . Applied Soft Computing. 36. p. 589--598. Elsevier {BV}
Delgado, M., Fajardo, W., Molina-Solana, M.(2015). Representation model and learning algorithm for uncertain and imprecise multivariate behaviors, based on correlated trends . Applied Soft Computing Journal. 36. p. 589-598.
Gómez-Romero, J., Bobillo, F., Ros, M., Molina-Solana, M., Ruiz, M.D., Martín-Bautista, M.J.(2015). A fuzzy extension of the semantic Building Information Model . Automation in Construction. 57. p. 202-212.
Molina-Solana, Miguel, Jimenez, Aida, Berzal, Fernando, Fajardo, Waldo(2011). Mining transposed motifs in music . Journal of Intelligent Information Systems. 36. (1). p. 99-115.
Molina-Solana, Miguel, Delgado, Miguel, Fajardo, Waldo(2011). A state of the art on computational music performance . Expert Systems With Applications. 38. (1). p. 155-160.
Delgado, M., Fajardo, W., Molina-Solana, M.(2011). A state of the art on computational music performance . Expert Systems with Applications. 38. (1). p. 155-160.
Jiménez, A., Molina-Solana, M., Berzal, F., Fajardo, W.(2011). Mining transposed motifs in music . Journal of Intelligent Information Systems. 36. (1). p. 99-115.
Molina-Solana, M., Lluís Arcos, J., Gomez, E.(2010). Identifying violin performers by their expressive trends . Intelligent Data Analysis. 14. (5). p. 555-571.
Molina-Solana, Miguel, Lluis Arcos, Josep, Gomez, Emilia(2010). Identifying violin performers by their expressive trends . Intelligent Data Analysis. 14. (5). p. 555-571.
Molina-Solana, Miguel, Delgado, Miguel, Fajardo, Waldo(2009). Inmamusys: Intelligent multiagent music system . Expert Systems With Applications. 36. (3). p. 4574-4580.
Delgado, M., Fajardo, W., Molina-Solana, M.(2009). Inmamusys: Intelligent multiagent music system . Expert Systems with Applications. 36. (3 PART 1). p. 4574-4580.