Publikationen, an denen er mitarbeitet Alejandro Baldominos Gomez (28)

2022

  1. AWS PredSpot: Machine learning for predicting the price of spot instances in AWS cloud

    IJIMAI, Vol. 7, Núm. 3, pp. 65-74

  2. Assessment of COVID-19’s Impact on EdTech: Case Study on an Educational Platform, Architecture and Teachers’ Experience

    Education Sciences, Vol. 12, Núm. 10

2020

  1. An exploratory analysis of the implementation and use of an intelligent platform for learning in primary education

    Applied Sciences (Switzerland), Vol. 10, Núm. 3

  2. Assessment of the Effects of Digital Educational Material on Executive Function Performance

    Frontiers in Education, Vol. 5

  3. Digital teaching materials and their relationship with the metacognitive skills of students in primary education

    Education Sciences, Vol. 10, Núm. 4

  4. Infection prediction using physiological and social data in social environments

    Information Processing and Management, Vol. 57, Núm. 3

  5. On the automated, evolutionary design of neural networks: past, present, and future

    Neural Computing and Applications, Vol. 32, Núm. 2, pp. 519-545

  6. Predicting infections using computational intelligence - A systematic review

    IEEE Access, Vol. 8, pp. 31083-31102

2019

  1. A comparison of machine learning and deep learning techniques for activity recognition using mobile devices

    Sensors (Switzerland), Vol. 19, Núm. 3

  2. A survey of handwritten character recognition with MNIST and EMNIST

    Applied Sciences (Switzerland), Vol. 9, Núm. 15

  3. Coin.AI: A proof-of-useful-work scheme for blockchain-based distributed deep learning

    Entropy, Vol. 21, Núm. 8

  4. Data-driven interaction review of an ed-tech application

    Sensors (Switzerland), Vol. 19, Núm. 8

  5. Hybridizing evolutionary computation and deep neural networks: An approach to handwriting recognition using committees and transfer learning

    Complexity, Vol. 2019

  6. Infection Diagnosis using Biomedical Signals in Small Data Scenarios

    2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

  7. On computer-aided prognosis of septic shock from vital signs

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2018

  1. DataCare: Big Data Analytics Solution for Intelligent Healthcare Management

    IJIMAI, Vol. 4, Núm. 7, pp. 13-20

  2. Evolutionary convolutional neural networks: An application to handwriting recognition

    Neurocomputing, Vol. 283, pp. 38-52

  3. Evolutionary design of convolutional neural networks for human activity recognition in sensor-rich environments

    Sensors (Switzerland), Vol. 18, Núm. 4

  4. Identifying real estate opportunities using machine learning

    Applied Sciences (Switzerland), Vol. 8, Núm. 11

  5. Improving children's experience on a mobile EdTech platform through a recommender system

    Mobile Information Systems, Vol. 2018