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Accepted Paper "Enlarged PLIN5-uncoated lipid droplets in inner regions of skeletal muscle type II fibers associate with type 2 diabetes"

02.2022

Fachada, V., Rahkila, P., Fachada, N., Turpeinen, T., Kujala, U. & Kainulainen, H. (2022). Enlarged PLIN5-uncoated lipid droplets in inner regions of skeletal muscle type II fibers associate with type 2 diabetes. Acta Histochemica, 124(3), 100014. doi.org/10.1016/j.acthis.2022.151869

Accepted paper "Detecting Distance-spoofing Attacks in Arbitrarily-deployed Wireless Networks"

01.2022

Accepted paper, S. Tomić, M. Beko (2022). Detecting Distance-spoofing Attacks in Arbitrarily-deployed Wireless Networks, IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2022.3148199

Accepted Paper "SimpAI: Evolutionary Heuristics for the ColorShapeLinks Board Game Competition"

01.2022

Fernandes, P.A., Inácio, P.A., Feliciano, H. & Fachada, N. (2022). SimpAI: Evolutionary Heuristics for the ColorShapeLinks Board Game Competition. Videogame Sciences and Arts, VJ 2020, Revised Selected Papers. CCIS, vol 1531 (pp. 113-126). Springer Nature. doi.org/10.1007/978-3-030-95305-8_9

Accepted paper "An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade"

01.2022

Valderi R.Q. Leithardt, et al., 2022. "An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade" Big Data and Cognitive Computing 6, no. 1: 8. doi.org/10.3390/bdcc6010008 - Quartil SJR: Q1

Accepted paper "Towards ubiquitous requirements engineering through recommendations based on context histories"

01.2022

Valderi R.Q. Leithardt, et al., 2022. "Towards ubiquitous requirements engineering through recommendations based on context histories." PeerJ Computer Science 8:e794 doi.org/10.7717/peerj-cs.794 Quartil SJR: Q2.

Accepted paper "Application of Machine Learning Techniques to Predict a Patient’s No-Show in the Healthcare Sector"

12.2021

Valderi R.Q. Leithardt, et al., 2021. "Application of Machine Learning Techniques to Predict a Patient’s No-Show in the Healthcare Sector" Future Internet 14, no. 1: 3. doi.org/10.3390/fi14010003 Quartil SJR: Q2