A Survey Of Methods For Explaining Black Box Models

A Survey Of Methods For Explaining Black Box Models

6 February 2018

Riccardo Guidotti

Salvatore Ruggieri

Papers citing "A Survey Of Methods For Explaining Black Box Models"

19 / 419 papers shown

Title
Challenges for an Ontology of Artificial Intelligence Scott H. Hawley 16 11 0 25 Feb 2019
Fairwashing: the risk of rationalization Ulrich Aïvodji Hiromi Arai O. Fortineau Sébastien Gambs Satoshi Hara Alain Tapp FaML 19 142 0 28 Jan 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 47 1,417 0 14 Jan 2019
On The Stability of Interpretable Models Riccardo Guidotti Salvatore Ruggieri FAtt 16 10 0 22 Oct 2018
On the Art and Science of Machine Learning Explanations Patrick Hall FAtt XAI 20 30 0 05 Oct 2018
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees Klaus Broelemann Gjergji Kasneci 24 20 0 25 Sep 2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts Samuel Carton Qiaozhu Mei Paul Resnick FAtt AAML 19 34 0 01 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 25 69 0 05 Aug 2018
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences J. V. D. Waa J. Diggelen K. Bosch Mark Antonius Neerincx OffRL 20 106 0 23 Jul 2018
Open the Black Box Data-Driven Explanation of Black Box Decision Systems D. Pedreschi F. Giannotti Riccardo Guidotti A. Monreale Luca Pappalardo Salvatore Ruggieri Franco Turini 19 38 0 26 Jun 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 29 164 0 20 Jun 2018
Defining Locality for Surrogates in Post-hoc Interpretablity Thibault Laugel X. Renard Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki FAtt 7 80 0 19 Jun 2018
Contrastive Explanations with Local Foil Trees J. V. D. Waa M. Robeer J. Diggelen Matthieu J. S. Brinkhuis Mark Antonius Neerincx FAtt 19 82 0 19 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 40 1,840 0 31 May 2018
Local Rule-Based Explanations of Black Box Decision Systems Riccardo Guidotti A. Monreale Salvatore Ruggieri D. Pedreschi Franco Turini F. Giannotti 31 435 0 28 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 26 32 0 24 Mar 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 23 635 0 13 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016