Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine LearningAmid AyobiKatarzyna StawarzDmitri S. KatzPaul MarshallTaku YamagataRaúl Santos-RodríguezPeter A. FlachAisling Ann O'KaneCEUR Workshop ProceedingsWorkshop on Transparency and Explanations ...
Policy initiatives around the world require social media platforms to limit the spread of false rumors9. To detect them early, our findings emphasize the importance of considering variations in positive and negative words as well as emotional language. In machine learning predictions, sentiment and em...
Discovering latent network structure in point process data. In: Proceedings from the 31st International Conference on Machine Learning; June 21-24, 2014; Beijing, China. 45. Farajtabar M, Du N, Gomez-Rodriguez M, Valera I, Zha H, Song L. Shaping social activity by incentivizing users. In:...
Here we cast the problem of understanding human behaviour as an explainability problem in machine learning, and therefore use explicit and easy to interpret theory-based models to characterise the performance of the DNN model and the types of behaviour it captures. We demonstrate our approach of us...
in country Awarded the same spot Banbai assumes no wear on the road also king in country Tu and way with I do not know your hunger and for our country Life through gentleman is different, also good for encouraging learning The debate between and identified two river bank the cliff, not ...
Policy initiatives around the world require social media platforms to limit the spread of false rumors9. To detect them early, our findings emphasize the importance of considering variations in positive and negative words as well as emotional language. In machine learning predictions, sentiment and em...
Contrary to similar studies in recent years, which show machine learning (ML) methods to typically outperform conventional methods, our results revealed that ANN performed at par with other methods in terms of predictive power. Our findings underline the need for a judicious choice of modeling ...
Machine learningAgentSpeakRetina conditionsPurpose: Expertise for auditing AI systems in medical domain is only now being accumulated. Conformity assessment procedures will require AI systems: 1) to be transparent, 2) not to rely decisions solely on algorithms, or iii) to include safety assurance ...
A theoretical understanding of generalization remains an open problem for many machine learning models, including deep networks where overparameterization leads to better performance, contradicting the conventional wisdom from classical statistics. Here,
Jones, B.D.; Hardy, L.; Lawrence, G.; Kuncheva, L.I.; Du Preez, T.; Brandon, R.; Such, P.; Bobat, M. The identification of “game changers” in England cricket’s developmental pathway for elite spin bowling: A machine learning approach.J. Expert.2019,2, 92–120. [Google ...