| Predicting novel microRNA: a comprehensive comparison of machine learning approaches G Stegmayer, LE Di Persia, M Rubiolo, M Gerard, M Pividori, C Yones, ... Briefings in bioinformatics 20 (5), 1607-1620, 2018 | 47 | 2018 |
| Deep neural architectures for highly imbalanced data in bioinformatics LA Bugnon, C Yones, DH Milone, G Stegmayer IEEE Transactions on Neural Networks and Learning Systems 31 (8), 2857-2867, 2019 | 41 | 2019 |
| Novel SARS-CoV-2 encoded small RNAs in the passage to humans GA Merino, J Raad, LA Bugnon, C Yones, L Kamenetzky, J Claus, F Ariel, ... Bioinformatics 36 (24), 5571-5581, 2020 | 27 | 2020 |
| Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches LA Bugnon, AA Edera, S Prochetto, M Gerard, J Raad, E Fenoy, ... Briefings in Bioinformatics 23 (4), bbac205, 2022 | 15 | 2022 |
| Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning LA Bugnon, C Yones, DH Milone, G Stegmayer Briefings in bioinformatics 22 (3), bbaa184, 2020 | 15 | 2020 |
| Dimensional Affect Recognition from HRV: an Approach Based on Supervised SOM and ELM LA Bugnon, RA Calvo, DH Milone IEEE Transactions on Affective Computing, 2017 | 15 | 2017 |
| High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks C Yones, J Raad, LA Bugnon, DH Milone, G Stegmayer Computers in Biology and Medicine 134, 104448, 2021 | 14 | 2021 |
| miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs J Raad, LA Bugnon, DH Milone, G Stegmayer Bioinformatics 38 (5), 1191-1197, 2022 | 13 | 2022 |
| Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19 LA Bugnon, J Raad, GA Merino, C Yones, F Ariel, DH Milone, ... Machine Learning with Applications 6, 100150, 2021 | 13 | 2021 |
| Identification and expression profiling of microRNAs in Hymenolepis N Macchiaroli, M Cucher, L Kamenetzky, C Yones, L Bugnon, M Berriman, ... International journal for parasitology 49 (3-4), 211-223, 2019 | 13 | 2019 |
| Audio recordings dataset of grazing jaw movements in dairy cattle SR Vanrell, JO Chelotti, LA Bugnon, HL Rufiner, DH Milone, EA Laca, ... Data in brief 30, 105623, 2020 | 9 | 2020 |
| Genome-wide hairpins datasets of animals and plants for novel miRNA prediction LA Bugnon, C Yones, J Raad, DH Milone, G Stegmayer Data in brief 25, 104209, 2019 | 6 | 2019 |
| Snore recognition using a reduced set of spectral features EM Albornoz, LA Bugnon, CE Martínez 2017 XVII Workshop on Information Processing and Control (RPIC), 1-5, 2017 | 6* | 2017 |
| DL4papers: a deep learning approach for the automatic interpretation of scientific articles LA Bugnon, C Yones, J Raad, M Gerard, M Rubiolo, G Merino, M Pividori, ... Bioinformatics 36 (11), 3499-3506, 2020 | 4 | 2020 |
| AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants JA Sabattini, JM Reta, LA Bugnon, JI Cerrudo, RA Sabattini, A Peñalva, ... HardwareX 11, e00270, 2022 | 3 | 2022 |
| A method for daily normalization in emotion recognition LA Bugnon, RA Calvo, DH Milone XLIII Jornadas Argentinas de Informática e Investigación Operativa (43JAIIO …, 2014 | 2 | 2014 |
| AntTracker: A low-cost and efficient computer vision approach to research leaf-cutter ants behavior JA Sabattini, F Sturniolo, M Bollazzi, LA Bugnon Smart Agricultural Technology 5, 100252, 2023 | 1 | 2023 |
| Affective Computing as a Tool for Understanding Emotion Dynamics from Physiology: A Predictive Modeling Study of Arousal and Valence TA D’Amelio, NM Bruno, LA Bugnon, F Zamberlan, E Tagliazucchi 2023 11th International Conference on Affective Computing and Intelligent …, 2023 | 1 | 2023 |
| Reconocimiento de estados afectivos a partir de señales biomédicas LA Bugnon Universidad Nacional del Litoral, 2018 | 1 | 2018 |
| Agrupamiento no supervisado y redes convolucionales para el aprendizaje de estructuras en bioinformática IL Fucksmann, DH Milone, LA Bugnon Memorias de las JAIIO 9 (6), 141-150, 2023 | | 2023 |
Diego H. MiloneFull Professor UNL. Principal Investigator CONICET.Verified email at sinc.unl.edu.ar
