Currículum vitae

Producción científica

Publicaciones

43 artículos y revistas · ordenados por número de citas

1. 1

   Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network.

   FL de la Rosa, JL Gómez-Sirvent, R Sánchez-Reolid, R Morales, ... — Expert Systems with Applications 206, 117731, 2022.

   D1/Q1 Computer Science, Artificial Intelligence (23/276) · IF 8.665

   105
2. 2

   A review on machine and deep learning for semiconductor defect classification in scanning electron microscope images.

   F López de la Rosa, R Sanchez-Reolid, JL Gomez-Sirvent, R Morales, ... — Applied Sciences 11 (20), 9508, 2021.

   Q2 Engineering, Multidisciplinary (39/92) · IF 2.838

   95
3. 3

   One-dimensional convolutional neural networks for low/high arousal classification from electrodermal activity.

   R Sánchez-Reolid, FL de la Rosa, MT López, A Fernández-Caballero — Biomedical Signal Processing and Control 71, 103203, 2022.

   Q2 Engineering, Biomedical (30/98) · IF 5.076

   73
4. 4

   Artificial Neural Networks to Assess Emotional States from Brain-Computer Interface.

   R Sánchez-Reolid, A García, M Vicente-Querol, L Fernández-Aguilar, ... — Electronics 7 (12), 384, 2018.

   67
5. 5

   Deep support vector machines for the identification of stress condition from electrodermal activity.

   R Sánchez-Reolid, A Martínez-Rodrigo, MT López, ... — International Journal of Neural Systems 30, 1-13, 2020.

   D1/Q1 Computer Science, Artificial Intelligence (36/144) · IF 6.325

   55
6. 6

   Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network.

   FL de la Rosa, JL Gómez-Sirvent, R Morales, R Sánchez-Reolid, ... — Computers & Industrial Engineering 183, 109549, 2023.

   D1/Q1 Computer Science, Interdisciplinary Applications (20/169) · IF 6.7

   54
7. 7

   Optimal feature selection for defect classification in semiconductor wafers.

   JL Gómez-Sirvent, FL de la Rosa, R Sánchez-Reolid, ... — IEEE transactions on semiconductor manufacturing 35 (2), 324-331, 2022.

   Q3 Engineering, Electrical & Electronic (130/276) · IF 2.796

   50
8. 8

   Machine learning techniques for arousal classification from electrodermal activity: A systematic review.

   R Sánchez-Reolid, F Lopez de la Rosa, D Sánchez-Reolid, MT López, ... — Sensors 22 (22), 8886, 2022.

   Q2 Engineering, Electrical & Electronic (95/276) · IF 3.847

   41
9. 9

   Arousal Detection in Elderly People from Electrodermal Activity using Musical Stimuli.

   A Bartolomé-Tomás, R Sánchez-Reolid, A Fernández-Sotos, ... — Sensors, 2020.

   Q1 Instruments & Instrumentation (10/56) · IF 3.576

   33
10. 10

    Machine learning for stress detection from electrodermal activity: A scoping review.

    R Sánchez-Reolid, MT López, A Fernández-Caballero — Preprints, 2020.

    26
11. 11

    Pre-occupancy evaluation of a virtual music school classroom: Influence of color and type of lighting on music performers.

    JLG Sirvent, D Fernandez-Sotos, R Sanchez-Reolid, F de la Rosa López, ... — Building and Environment 246, 110989, 2023.

    D1/Q1 Construction and Building Technology (7/91) · IF 7.1

    22
12. 12

    Emotion classification from EEG with a low-cost BCI versus a high-end equipment.

    R Sánchez-Reolid, MC Martínez-Sáez, B García-Martínez, ... — International journal of neural systems 32 (10), 2250041, 2022.

    D1/Q1 Computer Science, Artificial Intelligence (36/144) · IF 6.325

    22
13. 13

    Inter-hospital Moderate and Advanced Alzheimer's Disease Detection Through Convolutional Neural Networks.

    C Roncero-Parra, A Parreño-Torres, R Sánchez-Reolid, J Mateo-Sotos, ... — Heliyon, 2024.

    Q1 Multidisciplinary Sciences (28/134) · IF 3.4

    19
14. 14

    Physical Exercise Effects on University Students’ Attention: An EEG Analysis Approach.

    OR Contreras-Jordán, R Sánchez-Reolid, Á Infantes-Paniagua, ... — Electronics, 2022.

    19
15. 15

    A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets.

    FL de la Rosa, JL Gomez-Sirvent, R Morales, R Sanchez-Reolid, ... — Applied Soft Computing 131, 109743, 2022.

    Q1 Computer Science, Artificial Intelligence (21/145) · IF 8.7

    18
16. 16

    Musical instruments in extended reality: A systematic review.

    JL Gómez-Sirvent, F López de la Rosa, R Sánchez-Reolid, ... — International Journal of Human–Computer Interaction 41 (16), 10143-10162, 2025.

    Q1 Computer Sciences, Information Systems (16/90) · IF 5.5

    15
17. 17

    Defect classification on semiconductor wafers using Fisher vector and visual vocabularies coding.

    JL Gómez-Sirvent, FL de la Rosa, R Sanchez-Reolid, R Morales, ... — Measurement 202, 111872, 2022.

    Q1 Computer Science, Interdisciplinary Applications (16/90) · IF 5.2

    15
18. 18

    Co-design of avatars to embody auditory hallucinations of patients with schizophrenia: A study on patients’ feeling of satisfaction and psychiatrists’ intention to adopt the ….

    AS García, P Fernández-Sotos, MA Vicente-Querol, R Sánchez-Reolid, ... — Virtual Reality 27 (1), 217-232, 2023.

    Q1 Computer Science, Software Engineering (14/110) · IF 4.697

    13
19. 19

    From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC ….

    JMF Vicente, JR Álvarez-Sánchez, F De la Paz López, JT Moreo, H Adeli — Springer, 2019.

    10
20. 20

    Effectiveness of the level of personal relevance of visual autobiographical stimuli in the induction of positive emotions in young and older adults: pilot study protocol for a ….

    D Fernández, L Ros, R Sánchez-Reolid, JJ Ricarte, JM Latorre — Trials 21 (1), 663, 2020.

    Q4 Medicine, Research & Experimental (108/140) · IF 2.279

    9
21. 21

    Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June ….

    JMF Vicente, JR Álvarez-Sánchez, F De la Paz López, JT Moreo, H Adeli — Springer, 2019.

    9
22. 22

    Eeg and fnirs signal-based emotion identification by means of machine learning algorithms during visual stimuli exposure.

    D Sánchez-Reolid, E García-Pérez, AL Borja, A Fernández-Caballero, ... — Electronics 13 (23), 4797, 2024.

    Q2 Computer Science, Information Systems (174/368)

    8
23. 23

    Small language models for speech emotion recognition in text and audio modalities.

    JL Gómez-Sirvent, F López de la Rosa, D Sánchez-Reolid, ... — Applied Sciences 15 (14), 7730, 2025.

    7
24. 24

    Exploring the impact of windows on musicians’ experience: a neuroarchitecture perspective.

    JL Gómez-Sirvent, D Fernández-Sotos, A Fernández-Sotos, ... — Building Research & Information, 1--16, 2024.

    Q1 Construction & Building Technology (20/91) · IF 3.7

    7
25. 25

    López de la Rosa F., Sánchez-Reolid D., López MT, Fernández-Caballero A.

    R Sánchez-Reolid — Machine learning techniques for arousal classification from electrodermal …, 2022.

    7
26. 26

    Differences in emotion recognition between non-immersive vs. immersive virtual reality: preliminary findings in schizophrenia and bipolar disorder.

    M Scala, D Sánchez-Reolid, R Sánchez-Reolid, P Fernández-Sotos, ... — International Clinical Psychopharmacology Decision, 2024.

    5
27. 27

    Detection of auditory hallucinations from electroencephalographic brain–computer interface signals.

    B García-Martínez, P Fernández-Sotos, JJ Ricarte, EM Sánchez-Morla, ... — Cognitive Systems Research 83, 101176, 2024.

    Q2 Computer Science, Artificial Intelligence (154/310) · IF 2.7

    5
28. 28

    Inter-hospital advanced and mild Alzheimer’s disease classification based on electroencephalogram measurements via classical machine learning algorithms.

    A Parreno Torres, C Roncero-Parra, AL Borja, J Mateo-Sotos — Journal of Alzheimer’s Disease 95 (4), 1667-1683, 2023.

    5
29. 29

    Acquisition and synchronisation of multi-source physiological data using microservices and event-driven architecture.

    R Sánchez-Reolid, D Sánchez-Reolid, A Pereira, A Fernández-Caballero — International Symposium on Ambient Intelligence, 13-23, 2022.

    4
30. 30

    Model-Centric or Data-Centric Approach? A Case Study on the Classification of Surface Defects in Steel Hot Rolling Using Convolutional Neural Networks.

    F López de la Rosa, JL Gómez-Sirvent, R Sánchez-Reolid, R Morales, ... — Sensors 26 (2), 612, 2026.

    Q2 Instruments & Instrumentation (134/368) · IF 3.7

    2
31. 31

    Pleasure and displeasure identification from fNIRS signals.

    D Sánchez-Reolid, R Sánchez-Reolid, A Fernández-Caballero, AL Borja — International Symposium on Ambient Intelligence, 209-219, 2023.

    2
32. 32

    Generic Architecture for Multisource Physiological Signal Acquisition, Processing and Classification Based on Microservices.

    R Sánchez-Reolid, D Sánchez-Reolid, C Ayora, JL de la Vara, A Pereira, ... — International Symposium on Distributed Computing and Artificial Intelligence …, 2023.

    2
33. 33

    Electroencephalographic signal processing from brain-computer-interface following image-based emotion induction.

    E García-Pérez, D Sánchez-Reolid, R Sánchez-Reolid, ... — International Symposium on Ambient Intelligence, 239-248, 2022.

    2
34. 34

    Safe fall: use of predictive modeling and machine vision techniques for fall analysis and fall quality.

    O DelCastillo-Andrés, R Fernández-García, JC Pastor-Vicedo, MA Lira, ... — Sensors 26 (8), 2491, 2026.

    0
35. 35

    Augmented Virtuality to Bridge the Gap.

    JL Gómez-Sirvent, FL de la Rosa, R Sánchez-Reolid, JP Molina¹ — Ambient Intelligence–Software and Applications–16th International Symposium …, 2026.

    0
36. 36

    Clustering-Based Activity Monitoring Framework for Anomaly Detection.

    A Martinez-Rodrigo, R Sanchez-Reolid — Ambient Intelligence–Software and Applications–16th International Symposium …, 2026.

    0
37. 37

    Facial emotion recognition with virtual avatars in schizophrenia and bipolar disorder.

    M Scala, D Sánchez-Reolid, R Sánchez-Reolid, P Fernández-Sotos, ... — Neuroscience Applied 5, 106951, 2026.

    0
38. 38

    Emotion recognition using human avatars in schizophrenia: sex differences between non-immersive and immersive virtual reality.

    M Scala, D Sánchez-Reolid, R Sánchez-Reolid, P Fernández-Sotos, ... — Neuroscience Applied 5, 105727, 2026.

    0
39. 39

    EEG Signal Processing Pipelines in the Study of Neurophysiological Characteristics of Gifted Primary School Children: A Scoping Review.

    E García-Pérez, R Sánchez-Reolid, A L. Borja, JC Pastor Vicedo — Publicación no especificada.

    Q2 Computer Science, Information Systems (174/368)

    0
40. 40

    OA2075. Teaching safe falling: An AI-based educational approach to injury prevention.

    Ó DelCastillo-Andrés, MC Campos-Mesa, JC Pastor-Vicedo, ... — European Journal of Public Health 35 (Supplement_5), ckaf165. 059, 2025.

    0
41. 41

    Physiological Signal Acquisition.

    R Sánchez-Reolid, D Sánchez-Reolid, C Ayora — Distributed Computing and Artificial Intelligence, 20th International …, 2023.

    0
42. 42

    Intelligent environments controlled by physiological, perceptual and behavioural responses to emotional experiences.

    R Sánchez Reolid — Universidad de Castilla-La Mancha, 2023.

    0
43. 43

    EEG Activity During a Vigilance Task Reveals Distinct Frequency Band Patterns in Gifted Children.

    — Publicación no especificada.

    0