| Natural language processing applied to mental illness detection: a narrative review T Zhang, AM Schoene, S Ji, S Ananiadou NPJ digital medicine 5 (1), 46, 2022 | 87 | 2022 |
| Automatic identification of suicide notes from linguistic and sentiment features AM Schoene, N Dethlefs Proceedings of the 10th SIGHUM workshop on language technology for cultural …, 2016 | 46 | 2016 |
| Hierarchical multiscale recurrent neural networks for detecting suicide notes AM Schoene, A Turner, GR De Mel, N Dethlefs IEEE Transactions on Affective Computing, 2021 | 16 | 2021 |
| Automatic identification of suicide notes with a transformer-based deep learning model T Zhang, AM Schoene, S Ananiadou Internet interventions 25, 100422, 2021 | 15 | 2021 |
| Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets. AM Schoene, AP Turner, N Dethlefs Affcon@ aaai, 100-117, 2020 | 13 | 2020 |
| A divide-and-conquer approach to neural natural language generation from structured data N Dethlefs, A Schoene, H Cuayįhuitl Neurocomputing 433, 300-309, 2021 | 12 | 2021 |
| Dilated lstm with attention for classification of suicide notes AM Schoene, G Lacey, AP Turner, N Dethlefs Proceedings of the tenth international workshop on health text mining and …, 2019 | 12 | 2019 |
| A narrative literature review of natural language processing applied to the occupational exposome AM Schoene, I Basinas, M van Tongeren, S Ananiadou International journal of environmental research and public health 19 (14), 8544, 2022 | 8 | 2022 |
| NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding K Wang, R Stevens, H Alachram, Y Li, L Soldatova, R King, S Ananiadou, ... NPJ systems biology and applications 7 (1), 38, 2021 | 8 | 2021 |
| Unsupervised suicide note classification AM Schoene, N Dethlefs WISDOM'18 (KDD 2018, August 20th, London UK), 2018 | 7 | 2018 |
| Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable K Church, A Schoene, JE Ortega, R Chandrasekar, V Kordoni Natural Language Engineering, 1-26, 2022 | 4 | 2022 |
| Hybrid approaches to fine-grained emotion detection in social media data AM Schoene Twenty-Fifth AAAI/SIGAI Doctoral Consortium, 2020 | 4 | 2020 |
| Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks AM Schoene, L Bojanić, MQ Nghiem, IM Hunt, S Ananiadou IEEE Transactions on Affective Computing, 2022 | 3 | 2022 |
| Evolutionary constraint in artificial gene regulatory networks AP Turner, G Lacey, A Schoene, N Dethlefs UK Workshop on Computational Intelligence, 29-40, 2018 | 2 | 2018 |
| RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification AM Schoene, N Dethlefs, S Ananiadou Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 1 | 2022 |
| Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. G Lacey, AM Schoene, N Dethlefs, AP Turner IJCCI, 167-175, 2020 | 1 | 2020 |
| Dilated LSTM with ranked units for Classification of Suicide Notes AM Schoene, AP Turner, N Dethlefs AI for Social Good at NeurIPS, 2019 | 1 | 2019 |
| Pooling Tweets by Fine-Grained Emotions to Uncover Topic Trends in Social Media A Schoene, G de Mel 2019 22th International Conference on Information Fusion (FUSION), 1-7, 2019 | 1 | 2019 |
| Modularity within artificial gene regulatory networks G Lacey, A Schoene, N Dethlefs, A Turner 2019 IEEE Congress on Evolutionary Computation (CEC), 731-738, 2019 | 1 | 2019 |
| An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection AM Schoene, J Ortega, S Amir, K Church Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | | 2023 |
Nina DethlefsComputer Science, University of HullVerified email at hull.ac.uk
