Congratulations to the following for their recent paper acceptance!
Ben Evans and Allan Tucker Evans B.C., Tucker A., Wearn O.R., Carbone C. (2021). Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications. In: Koprinska I. et al. (eds) ECML PKDD 2020 Workshops. ECML PKDD 2020. Communications in Computer and Information Science, vol 1323. Springer, Cham. https://doi.org/10.1007/978-3-030-65965-3_2
Lianghao Han Zhihao Dai, Zhong Li and Lianghao Han. (2021). BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis, IDA 2021.
Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han. (2021). A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery, 10.1109/TGRS.2021.3058782, IEEE Transactions on Geoscience and Remote Sensing, IDA 2021.
Biraja Ghoshal and Allan Tucker Ghoshal, B. and Tucker, A. (2021) Hyperspherical Weight Uncertainty in Neural Networks, IDA 2021.
A collaboration between the Clinical Practice Research Datalink (CPRD), MHRA Medical Devices Division and researchers at Brunel University has led to the creation of two innovative synthetic datasets which will support the development of cutting-edge medical technologies to fight COVID-19 and cardiovascular disease. More detail here.
Due to the ongoing Corona virus restrictions IDA 2020 will be held as a virtual conference online on the original dates. As a result it will be free to all! More information will be posted here nearer the time: IDA2020