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| 1 | +@article{martinez2024establishing, |
| 2 | + title={Establishing vocabulary tests as a benchmark for evaluating large language models}, |
| 3 | + author={Mart{\'\i}nez, Gonzalo and Conde, Javier and Merino-G{\'o}mez, Elena and Berm{\'u}dez-Margaretto, Beatriz and Hern{\'a}ndez, Jos{\'e} Alberto and Reviriego, Pedro and Brysbaert, Marc}, |
| 4 | + journal={PloS one}, |
| 5 | + volume={19}, |
| 6 | + number={12}, |
| 7 | + pages={e0308259}, |
| 8 | + year={2024}, |
| 9 | + annote={ai}, |
| 10 | + publisher={Public Library of Science San Francisco, CA USA} |
| 11 | +} |
| 12 | + |
| 13 | +@article{gao2025dependability, |
| 14 | + title={On the dependability of bidirectional encoder representations from transformers (BERT) to soft errors}, |
| 15 | + author={Gao, Zhen and Yin, Ziye and Wang, Jingyan and Su, Rui and Deng, Jie and Liu, Qiang and Reviriego, Pedro and Liu, Shanshan and Lombardi, Fabrizio}, |
| 16 | + journal={IEEE Transactions on Nanotechnology}, |
| 17 | + year={2025}, |
| 18 | + annote={ai}, |
| 19 | + publisher={IEEE} |
| 20 | +} |
| 21 | + |
| 22 | +@article{martinez2025using, |
| 23 | + title={Using large language models to estimate features of multi-word expressions: Concreteness, valence, arousal}, |
| 24 | + author={Mart{\'\i}nez, Gonzalo and Molero, Juan Diego and Gonz{\'a}lez, Sandra and Conde, Javier and Brysbaert, Marc and Reviriego, Pedro}, |
| 25 | + journal={Behavior Research Methods}, |
| 26 | + volume={57}, |
| 27 | + number={1}, |
| 28 | + pages={1--11}, |
| 29 | + year={2025}, |
| 30 | + annote={ai}, |
| 31 | + publisher={Springer US} |
| 32 | +} |
| 33 | + |
| 34 | +@article{martinez2024ai, |
| 35 | + title={AI-generated estimates of familiarity, concreteness, valence, and arousal for over 100,000 Spanish words}, |
| 36 | + author={Mart{\'\i}nez, Gonzalo and Conde, Javier and Reviriego, Pedro and Brysbaert, Marc}, |
| 37 | + journal={Quarterly Journal of Experimental Psychology}, |
| 38 | + pages={17470218241306694}, |
| 39 | + year={2024}, |
| 40 | + annote={ai}, |
| 41 | + publisher={SAGE Publications Sage UK: London, England} |
| 42 | +} |
| 43 | + |
| 44 | +@article{zhu2024dependability, |
| 45 | + title={Dependability of the K Minimum Values Sketch: Protection and Comparative Analysis}, |
| 46 | + author={Zhu, Jinhua and Gao, Zhen and Reviriego, Pedro and Liu, Shanshan and Lombardi, Fabrizio}, |
| 47 | + journal={IEEE Transactions on Computers}, |
| 48 | + year={2024}, |
| 49 | + annote={computing}, |
| 50 | + publisher={IEEE} |
| 51 | +} |
| 52 | + |
| 53 | +@article{3547, |
| 54 | + keywords = {Artificial Intelligence, Natural Language Processing, Sentiment Analysis in Education, Transformers, Systematic Review}, |
| 55 | + author = {Anabel Pilicita-Garrido and Enrique Barra}, |
| 56 | + title = {Sentiment Analysis With Transformers Applied to Education: Systematic Review}, |
| 57 | + abstract = {Sentiment analysis, empowered by artificial intelligence, can play a critical role in assessing the impact of cultural factors on the advancement of Open Science and artificial intelligence. Additionally, it can offer valuable insights into the open data gathered within educational contexts. This article presents a systematic review of the use of Transformers models in sentiment analysis in education. A systematic review approach was used to analyze 41 articles from recognized digital databases. The results of the review provide a comprehensive understanding of previous research related to the use of Transformers models in education for the task of sentiment analysis, their benefits, challenges, as well as future areas of research that can lay the foundation for a more sustainable and effective education system.}, |
| 58 | + year = {2025}, |
| 59 | + journal = {International Journal of Interactive Multimedia and Artificial Intelligence}, |
| 60 | + volume = {9}, |
| 61 | + chapter = {72}, |
| 62 | + number = {2}, |
| 63 | + pages = {72-83}, |
| 64 | + month = {03/2025}, |
| 65 | + issn = {1989-1660}, |
| 66 | + url = {https://www.ijimai.org/journal/bibcite/reference/3547}, |
| 67 | + annote={e-learning, ai}, |
| 68 | + doi = {10.9781/ijimai.2025.02.008}, |
| 69 | +} |
| 70 | + |
| 71 | +@article{gao2024dependability, |
| 72 | + title={Dependability and Protection of Transformer Models against Soft Errors on Text Embeddings}, |
| 73 | + author={Gao, Zhen and Liu, Shuang and Reviriego, Pedro and Liu, Shanshan and Lombardi, Fabrizio}, |
| 74 | + journal={IEEE Transactions on Device and Materials Reliability}, |
| 75 | + year={2024}, |
| 76 | + annote={ai}, |
| 77 | + publisher={IEEE} |
| 78 | +} |
| 79 | + |
| 80 | +@article{wang2024fault, |
| 81 | + title={Fault Tolerance in Triplet Network Training: Analysis, Evaluation and Protection Methods}, |
| 82 | + author={Wang, Ziheng and Niknia, Farzad and Liu, Shanshan and Reviriego, Pedro and Louri, Ahmed and Lombardi, Fabrizio}, |
| 83 | + journal={IEEE Transactions on Emerging Topics in Computing}, |
| 84 | + year={2024}, |
| 85 | + annote={computing}, |
| 86 | + publisher={IEEE} |
| 87 | +} |
| 88 | + |
| 89 | +@article{liu2024emerging, |
| 90 | + title={Are Emerging Machine Learning Models Dependable at the Nanoscales?}, |
| 91 | + author={Liu, Shanshan and Wang, Ziheng and Gao, Zhen and Reviriego, Pedro and Niknia, Farzad and Tang, Xiaochen and Zhou, Jun and Lombardi, Fabrizio}, |
| 92 | + journal={IEEE Nanotechnology Magazine}, |
| 93 | + year={2024}, |
| 94 | + annote={computing}, |
| 95 | + publisher={IEEE} |
| 96 | +} |
| 97 | + |
| 98 | +@article{reviriego2024playing, |
| 99 | + title={Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans}, |
| 100 | + author={Reviriego, Pedro and Conde, Javier and Merino-G{\'o}mez, Elena and Mart{\'\i}nez, Gonzalo and Hern{\'a}ndez, Jos{\'e} Alberto}, |
| 101 | + journal={Machine Learning with Applications}, |
| 102 | + volume={18}, |
| 103 | + pages={100602}, |
| 104 | + year={2024}, |
| 105 | + annote={ai}, |
| 106 | + publisher={Elsevier} |
| 107 | +} |
| 108 | + |
1 | 109 | @ARTICLE{10754992, |
2 | 110 | author={Conde, Javier and Munoz-Arcentales, Andrés and Alonso, Álvaro and Salvachúa, Joaquín and Huecas, Gabriel}, |
3 | 111 | journal={IT Professional}, |
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