| Self-attentive hawkes process Q Zhang, A Lipani, O Kirnap, E Yilmaz International Conference on Machine Learning, 11183-11193, 2020 | 247 | 2020 |
| Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing … C Schillaci, M Acutis, L Lombardo, A Lipani, M Fantappiè, M Märker, ... Science of The Total Environment 601, 821-832, 2017 | 179 | 2017 |
| Reply-aided Detection of Misinformation via Bayesian Deep Learning Q Zhang, A Lipani, S Liang, E Yilmaz Proc. of WWW, 2019 | 68 | 2019 |
| Automatic blight disease detection in potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum, L. 1753) plants using deep learning AO Anim-Ayeko, C Schillaci, A Lipani Smart Agricultural Technology 4, 100178, 2023 | 66 | 2023 |
| Variational-LSTM Autoencoder to forecast the spread of coronavirus across the globe MR Ibrahim, J Haworth, A Lipani, N Aslam, T Cheng, N Christie PloS one 16 (1), e0246120, 2021 | 65 | 2021 |
| Evaluation metrics for measuring bias in search engine results G Gezici, A Lipani, Y Saygin, E Yilmaz Information Retrieval Journal 24, 85-113, 2021 | 57 | 2021 |
| StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts Z Shi, Q Zhang, A Lipani Association for the Advancement of Artificial Intelligence, 2022 | 54 | 2022 |
| Semantic segmentation of cracks: Data challenges and architecture F Panella, A Lipani, J Boehm Automation in Construction 135, 104110, 2022 | 51 | 2022 |
| FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval A Roegiest, A Lipani, A Beutel, A Olteanu, A Lucic, AA Stoica, A Das, ... SIGIR Forum 53 (2), 20--43, 2019 | 51* | 2019 |
| New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems C Schillaci, A Perego, E Valkama, M Märker, S Saia, F Veronesi, A Lipani, ... Science of The Total Environment 780, 146609, 2021 | 48 | 2021 |
| How am I doing?: Evaluating conversational search systems offline A Lipani, B Carterette, E Yilmaz ACM Transactions on Information Systems (TOIS) 39 (4), 1-22, 2021 | 46 | 2021 |
| Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking Y Feng, A Lipani, F Ye, Q Zhang, E Yilmaz arXiv preprint arXiv:2204.06677, 2022 | 43 | 2022 |
| A multilinear sampling algorithm to estimate shapley values R Okhrati, A Lipani 2020 25th International Conference on Pattern Recognition (ICPR), 7992-7999, 2021 | 43 | 2021 |
| From Stances’ Imbalance to Their Hierarchical Representation and Detection Q Zhang, S Liang, A Lipani, Z Ren, E Yilmaz Proc. of WWW, 2019 | 43 | 2019 |
| Learning to execute actions or ask clarification questions Z Shi, Y Feng, A Lipani arXiv preprint arXiv:2204.08373, 2022 | 41 | 2022 |
| Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices T James, C Schillaci, A Lipani International Journal of Remote Sensing 42 (14), 5338-5365, 2021 | 41 | 2021 |
| Flood susceptibility assessment using artificial neural networks in Indonesia S Priscillia, C Schillaci, A Lipani Artificial Intelligence in Geosciences 2, 215-222, 2021 | 38 | 2021 |
| Predicting Engagement in Video Lectures S Bulathwela, M Pérez-Ortiz, A Lipani, E Yilmaz, J Shawe-Taylor arXiv preprint arXiv:2006.00592, 2020 | 38 | 2020 |
| Subsequence Based Deep Active Learning for Named Entity Recognition P Radmard, Y Fathullah, A Lipani ACL 1, 4310-4321, 2021 | 31 | 2021 |
| DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning Z Shi, A Lipani arXiv preprint arXiv:2309.05173, 2023 | 28 | 2023 |
Emine YilmazUniversity College LondonVerified email at ucl.ac.uk