| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 897 | 2022 |
| FFORMA: Feature-based forecast model averaging P Montero-Manso, G Athanasopoulos, RJ Hyndman, TS Talagala International Journal of Forecasting 36 (1), 86-92, 2020 | 328 | 2020 |
| Meta-learning how to forecast time series TS Talagala, RJ Hyndman, G Athanasopoulos Monash Econometrics and Business Statistics Working Papers 6 (18), 16, 2018 | 130 | 2018 |
| tsfeatures: Time series feature extraction R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ... R package version 1 (0), 2019 | 109 | 2019 |
| FFORMPP: Feature-based forecast model performance prediction TS Talagala, F Li, Y Kang International Journal of Forecasting 38 (3), 920-943, 2022 | 33 | 2022 |
| Meta‐learning how to forecast time series TS Talagala, RJ Hyndman, G Athanasopoulos Journal of Forecasting 42 (6), 1476-1501, 2023 | 21 | 2023 |
| Distributed lag nonlinear modelling approach to identify relationship between climatic factors and dengue incidence in Colombo District, Sri Lanka T Talagala Epidemiology, Biostatistics, and Public Health 12 (4), 2015 | 19 | 2015 |
| M4comp2018: Data from the M4-Competition P Montero-Manso, C Netto, T Talagala R package version 0.1. 0, 2018 | 18 | 2018 |
| tsfeatures: time series feature extraction, 2020 R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ... URL https://pkg. robjhyndman. com/tsfeatures, 2020 | 17 | 2020 |
| feasts: Feature extraction and statistics for time series. R package version 0.2. 2 M O’Hara-Wild, R Hyndman, E Wang, D Cook, TS Talagala, L Chhay CRAN, 2021 | 11 | 2021 |
| Feasts: Feature Extraction and Statistics for Time Series (0.2. 1). 2021 M O’Hara-Wild, R Hyndman, E Wang, D Cook, T Talagala, L Chhay | 7 | |
| Wavelet analysis of dengue transmission pattern in Sri Lanka T Talagala, R Lokupitiya International Journal of Mosquito Research 2 (4), 13 - 18, 2015 | 6 | 2015 |
| Computer-aided interpretable features for leaf image classification JPG Lakshika, TS Talagala arXiv preprint arXiv:2106.08077, 2021 | 5 | 2021 |
| Factors Associated with Consumers' Awareness and Use of Information on Food Labels TS Talagala, CJP Kalukottege International Forum for Mathematical Modelling, 122 - 125, 2014 | 4 | 2014 |
| Package ‘feasts’ M O'Hara-Wild, R Hyndman, E Wang, D Cook, T Talagala, L Chhay, ... CRAN, Junio, 2020 | 3 | 2020 |
| Choice Modeling for the Commercial Cultivation of Underutilized Aromatic Plants for Producing Mosquito Repellents: Targeting Rural Sector Income Generation KD Munugoda, TS Talagala, S Subasinghe, DS Hettiarachchi, AT Cooray Economic Botany 77 (2), 184-202, 2023 | 2 | 2023 |
| COVID-19 and online learning tools PD Talagala, TS Talagala arXiv preprint arXiv:2201.06927, 2021 | 2 | 2021 |
| Mathematical modeling of dengue dynamics and climate variability in Sri Lanka TS Talagala | 1 | 2016 |
| Learning Style Preferences of First Year Statistics Undergraduates TSTPD Talagala International Statistics Conference 2014, 240, 2014 | 1 | 2014 |
| From Crisis to Opportunity: A Google Trends Analysis of Global Interest in Distance Education Tools During and Post the COVID-19 Pandemic P Talagala, T Talagala 6th International Conference on Advanced Research Methods and Analytics …, 2024 | | 2024 |
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
