| How much are we exposed to alcohol in electronic media? Development of the Alcoholic Beverage Identification Deep Learning Algorithm (ABIDLA) E Kuntsche, AA Bonela, G Caluzzi, M Miller, Z He Drug and alcohol dependence 208, 107841, 2020 | 18 | 2020 |
| Audio-based deep learning algorithm to identify alcohol inebriation (ADLAIA) AA Bonela, Z He, A Nibali, T Norman, PG Miller, E Kuntsche Alcohol 109, 49-54, 2023 | 8 | 2023 |
| Connected and consuming: Applying a deep learning algorithm to quantify alcoholic beverage prevalence in user-generated instagram images T Norman, AA Bonela, Z He, D Angus, N Carah, E Kuntsche Drugs: Education, Prevention and Policy 29 (5), 501-508, 2022 | 8 | 2022 |
| Development and validation of the Alcoholic Beverage Identification Deep Learning Algorithm version 2 for quantifying alcohol exposure in electronic images AA Bonela, Z He, T Norman, E Kuntsche Alcoholism: Clinical and Experimental Research 46 (10), 1837-1845, 2022 | 7 | 2022 |
| The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm AA Bonela, A Nibali, Z He, B Riordan, D Anderson-Luxford, E Kuntsche Scientific Reports 13 (1), 11891, 2023 | 3 | 2023 |
| How to apply zero‐shot learning to text data in substance use research: an overview and tutorial with media data B Riordan, AA Bonela, Z He, A Nibali, D Anderson‐Luxford, E Kuntsche Addiction 119 (5), 951-959, 2024 | 2 | 2024 |
| Zero-shot learning has the potential to revolutionise research on exposure to alcohol and other drugs in digital media E Kuntsche, Z He, AA Bonela, B Riordan International journal on drug policy 118, e104098-e104098, 2023 | 2 | 2023 |
| Development of the lyrics-based deep learning algorithm for identifying alcohol-related words (LYDIA) AA Bonela, Z He, DA Luxford, B Riordan, E Kuntsche Alcohol and Alcoholism 59 (2), agad088, 2024 | 1 | 2024 |
| Application of Artificial Intelligence in Alcohol Research AA Bonela La Trobe University, 2023 | | 2023 |
| Development and validation of the Alcoholic Beverage Identification Deep Learning Algorithm Version 2 (ABIDLA2) for quantifying alcohol exposure in electronic images AA Bonela, Z He, T Norman, E Kuntsche La Trobe, 2022 | | 2022 |
| Alcohol exposure leads to alcohol use via expectancies, norms, cognitive biases and imitation: A conceptual framework E Kuntsche, AA Bonela, BC Riordan DRUG AND ALCOHOL REVIEW 41, S9-S10, 2022 | | 2022 |
| Deep learning algorithm to quantify alcohol exposure in song lyrics from 1959 to 2020 AA Bonela, Z He, D Anderson-Luxford, BC Riordan, E Kuntsche DRUG AND ALCOHOL REVIEW 41, S33-S33, 2022 | | 2022 |
| Using artificial intelligence to determine how much alcohol influencers from Australia post on social media BC Riordan, E Marriage, AA Bonela, S Sznitman, D Curwen, E Kuntsche DRUG AND ALCOHOL REVIEW 41, S10-S10, 2022 | | 2022 |
| Quantifying exposure to beer, wine and champagne in the media: Development of a deep-learning computer algorithm EN Kuntsche, AA Bonela, G Caluzzi, MM Zhen, Z He | | 2019 |
