Title
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 27 85 0 28 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 24 128 0 21 Jul 2021
Leveraging Explainability for Comprehending Referring Expressions in the Real World Fethiye Irmak Dogan G. I. Melsión Iolanda Leite 37 8 0 12 Jul 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 19 33 0 27 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 27 64 0 24 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White W. Neiswanger 26 65 0 23 Jun 2021
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach Johannes Rabold M. Siebers Ute Schmid 18 14 0 15 Jun 2021
Characterizing the risk of fairwashing Ulrich Aivodji Hiromi Arai Sébastien Gambs Satoshi Hara 18 27 0 14 Jun 2021
Exploring deterministic frequency deviations with explainable AI Johannes Kruse B. Schäfer D. Witthaut 11 15 0 14 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 34 24 0 11 Jun 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 11 15 0 20 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 21 137 0 17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 21 184 0 15 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 16 8 0 13 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 21 100 0 08 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report) Christian Alrabbaa F. Baader Stefan Borgwardt Patrick Koopmann Alisa Kovtunova 17 23 0 27 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 29 20 0 26 Apr 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 45 77 0 24 Apr 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 14 2 0 21 Apr 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 24 60 0 15 Apr 2021
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network E. Tufan C. Tezcan Cengiz Acartürk 11 29 0 31 Mar 2021
Fairness and Transparency in Recommendation: The Users' Perspective Nasim Sonboli Jessie J. Smith Florencia Cabral Berenfus Robin Burke Casey Fiesler FaML 13 65 0 16 Mar 2021
A conditional, a fuzzy and a probabilistic interpretation of self-organising maps Laura Giordano Valentina Gliozzi Daniele Theseider Dupré AI4CE 32 23 0 11 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 11 212 0 09 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics Philipp Terhörst J. Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 21 115 0 02 Mar 2021
Explainable AI in Credit Risk Management Branka Hadji Misheva Jörg Osterrieder Ali Hirsa O. Kulkarni Stephen Lin 24 64 0 01 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 203 840 0 01 Mar 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 53 415 0 15 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 27 2 0 04 Jan 2021
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model Laura Giordano Daniele Theseider Dupré 28 35 0 24 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 17 24 0 15 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 19 142 0 14 Dec 2020
Evolutionary learning of interpretable decision trees Leonardo Lucio Custode Giovanni Iacca OffRL 19 40 0 14 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 16 0 0 13 Dec 2020
Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing Yaojie Liu Xiaoming Liu AAML 24 10 0 09 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 31 38 0 03 Dec 2020
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 26 67 0 02 Dec 2020
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment Alfonso Ortega Julian Fierrez Aythami Morales Zilong Wang Tony Ribeiro 12 13 0 01 Dec 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume Pushpak Pati Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Florinda Feroce A. Anniciello T. Rau Jean-Philippe Thiran M. Gabrani O. Goksel FAtt 13 76 0 25 Nov 2020
Interpretable collaborative data analysis on distributed data A. Imakura Hiroaki Inaba Yukihiko Okada Tetsuya Sakurai FedML 6 26 0 09 Nov 2020
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Meike Nauta Annemarie Jutte Jesper C. Provoost C. Seifert FAtt 14 65 0 05 Nov 2020
Abduction and Argumentation for Explainable Machine Learning: A Position Survey A. Kakas Loizos Michael 9 11 0 24 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 20 26 0 04 Oct 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 24 93 0 22 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 24 79 0 17 Sep 2020
Model extraction from counterfactual explanations Ulrich Aivodji Alexandre Bolot Sébastien Gambs MIACV MLAU 25 51 0 03 Sep 2020
Face Image Quality Assessment: A Literature Survey Torsten Schlett Christian Rathgeb O. Henniger Javier Galbally Julian Fierrez Christoph Busch CVBM 11 128 0 02 Sep 2020
Fuzzy Jaccard Index: A robust comparison of ordered lists Matej Petković Blaž Škrlj D. Kocev Nikola Simidjievski 23 13 0 05 Aug 2020