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19952026
most citedA Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

805 citations

Showing 2020Show all

42 papers · 1 filter

q-bio.QM2020★ 6 cited

A random shuffle method to expand a narrow dataset and overcome the associated challenges in a clinical study: a heart failure cohort example

Lorenzo Fassina, Alessandro Faragli, Francesco Paolo Lo Muzio +5

Heart failure (HF) affects at least 26 million people worldwide, so predicting adverse events in HF patients represents a major target of clinical data science. However, achieving…

math.OC2020

Minimal controllability time for systems with nonlinear drift under a compact convex state constraint

Viktor Bezborodov, Luca Di Persio, Riccardo Muradore

In this paper we estimate the minimal controllability time for a class of non-linear control systems with a bounded convex state constraint. An explicit expression is given for the…

cs.AI2020★ 4 cited

Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach

Giulio Mazzi, Alberto Castellini, Alessandro Farinelli

Partially Observable Monte-Carlo Planning (POMCP) is a powerful online algorithm able to generate approximate policies for large Partially Observable Markov Decision Processes. The…

math.PR2020

Time-Delayed Generalized BSDEs

Luca Di Persio, Matteo Garbelli, Lucian Maticiuc +1

We prove the existence and uniqueness of the solution of a BSDE with time-delayed generators in the small delay setting (or equivalently small Lipschitz constant), which employs th…

math.RT2020★ 1 cited

Negative cluster categories from simple minded collection quadruples

Francesca Fedele

Fomin and Zelevinsky's definition of cluster algebras laid the foundation for cluster theory. The various categorifications and generalisations of the original definition led to Iy…

cs.CV2020★ 4 cited

Correspondence Learning via Linearly-invariant Embedding

Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi +1

In this paper, we propose a fully differentiable pipeline for estimating accurate dense correspondences between 3D point clouds. The proposed pipeline is an extension and a general…