Publications

2024Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F. M., Marras M., & Martis A. G., 2024. Learner-centered Ontology for Explainable Educational Recommendation. In Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24). https://doi.org/10.1145/3631700.3665226
2024Balloccu, G., Boratto, L., Fenu, G., Malloci, F. M., & Marras, M. (2024, March). Explainable Recommender Systems with Knowledge Graphs and Language Models. In European Conference on Information Retrieval (pp. 352-357). Cham: Springer Nature Switzerland.  https://doi.org/10.1007/978-3-031-56069-9_46
2023G. Fenu and F. M. Malloci, “Classification of Pear Leaf Diseases Based on Ensemble Convolutional Neural Networks” AgriEngineering 5 2023, no. 1: 141-152. https://doi.org/10.3390/agriengineering5010009
2023Fenu, G., Malloci, F. M., Onorato, M., Gerardi, M. S., & Scano, A. (2023, September). Plant Disease Detection Using Deep Learning: A Proof of Concept on Pear Leaf Disease Detection. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 271-279). Cham: Springer Nature Switzerland.
2022G. Fenu and F. M. Malloci,”Evaluating Impacts between Laboratory and Field-Collected Datasets for Plant Disease Classification”, Agronomy 2022, 12, 2359. https://doi.org/10.3390/agronomy12102359
2021G. Fenu and F. M. Malloci,”DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease”, Agronomy 2021, 11, 2107. doi: https://doi.org/10.3390/agronomy11112107
2021G. Fenu and F. M. Malloci,”Using Multi-Output Learning to Diagnose Plant Disease and Stress Severity”, Complexity, Article ID 6663442,doi.org/10.1155/2021/6663442,2021.
2021G. Fenu and F. M. Malloci, “Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms” Big Data Cogn. Comput. vol. 5, no. 1, Article ID 2, doi: 10.3390/bdcc5010002, 2021.
2021G. Fenu and F. M. Malloci, Lands DSS: A Decision Support System for Forecasting Crop Disease in Southern Sardinia, International Journal of Decision Support System Technology, vol. 13, no. 1, pp. 21–33, doi:10.4018/IJDSST.2021010102, Jan. 2021.

2020		Malloci F.M., Penadés L.P., Boratto L., Fenu G. (2020) A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. In: Huang Z., Beek W., Wang H., Zhou R., Zhang Y. (eds) Web Information Systems Engineering – WISE 2020. WISE 2020. Lecture Notes in Computer Science, vol 12343. Springer, Cham. https://doi.org/10.1007/978-3-030-62008-0_10
2019Fenu, G., & Malloci, F. M. (2020, June). Artificial Intelligence Technique in Crop Disease Forecasting: A Case Study on Potato Late Blight Prediction. In International Conference on Intelligent Decision Technologies (pp. 79-89), Springer, Singapore.https://doi.org/10.1007/978-981-15-5925-9_7
2019Fenu, G., & Malloci, F. M. (2019, November). An application of machine learning technique in forecasting crop disease. In Proceedings of the 2019 3rd International Conference on Big Data Research (pp. 76-82). https://doi.org/10.1145/3372454.3372474
2019Fenu, G., & Malloci, F. M. (2019). An agricultural prototype DSS LANDS for monitoring the main crop productions in Sardinia. In Proceedings of 5th International Conference on Decision Support System Technology—ICDSST 2019 & EURO Mini Conference (pp. 114-123).
2018Corriga, A., Cusimano, S., Malloci, F.M., Marchesi, L., & Recupero, D. R. (2018, June). Leveraging Cognitive Computing for Gender and Emotion Detection. In EMSASW@ ESWC (pp. 47-56).