Marco Ancona
O2 Czech Republic (Czechia)(CZ)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI), Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Monoclonal and Polyclonal Antibodies Research
Most-Cited Works
- → Towards better understanding of gradient-based attribution methods for Deep Neural Networks(2018)386 cited
- → Gradient-Based Attribution Methods(2019)229 cited
- → A unified view of gradient-based attribution methods for Deep Neural Networks(2017)110 cited
- → Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation(2019)49 cited
- → Explaining Deep Neural Networks with a Polynomial Time Algorithm for\n Shapley Values Approximation(2019)48 cited
- → A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties(2023)36 cited
- → Architecture for large microelectronic supervised learning artificial neural networks using a hybrid digital-analog approach(1988)10 cited
- → Shapley Value as Principled Metric for Structured Network Pruning(2020)6 cited
- → MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions(2019)3 cited