Title
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework Peter E. D. Love J. Matthews Weili Fang Stuart Porter Hanbin Luo L. Ding 66 2 0 12 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 85 1 0 12 Nov 2022
Behaviour Trees for Creating Conversational Explanation Experiences A. Wijekoon D. Corsar Nirmalie Wiratunga 56 3 0 11 Nov 2022
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study Iván Sevillano-García Julián Luengo-Martín Francisco Herrera XAI FAtt 51 9 0 11 Nov 2022
Efficient and quantum-adaptive machine learning with fermion neural networks Peikun Zheng Jia-Bao Wang Yi Zhang 34 3 0 10 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 123 19 0 10 Nov 2022
Extending Logic Explained Networks to Text Classification Rishabh Jain Gabriele Ciravegna Pietro Barbiero Francesco Giannini Davide Buffelli Pietro Lio FAtt XAI 70 10 0 04 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Quoc-Viet Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 101 56 0 02 Nov 2022
A Data-driven Case-based Reasoning in Bankruptcy Prediction Wei Li Wolfgang Karl Härdle Stefan Lessmann 30 3 0 02 Nov 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability I. Laña Ignacio I. Olabarrieta Javier Del Ser 64 1 0 28 Oct 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading setting F. Cabitza M. Cameli Andrea Campagner Chiara Natali Luca Ronzio 86 11 0 27 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 63 2 0 24 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 66 7 0 22 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 143 34 0 21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 114 103 0 20 Oct 2022
Co-Training an Observer and an Evading Target André Brandenburger Folker Hoffmann A. Charlish 71 1 0 20 Oct 2022
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction José Ribeiro Nikolas Carneiro Ronnie Cley de Oliveira Alves 54 0 0 19 Oct 2022
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 94 237 0 19 Oct 2022
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective José de Sousa Ribeiro Filho Lucas F. F. Cardoso R. Silva Vitor Cirilo Araujo Santos Nikolas Carneiro Ronnie Cley de Oliveira Alves 47 4 0 18 Oct 2022
BIOWISH: Biometric Recognition using Wearable Inertial Sensors detecting Heart Activity E. Maiorana Chiara Romano E. Schena C. Massaroni 30 14 0 18 Oct 2022
Privacy Explanations - A Means to End-User Trust Wasja Brunotte Alexander Specht Larissa Chazette K. Schneider 66 28 0 18 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 87 14 0 17 Oct 2022
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text Betty van Aken Jens-Michalis Papaioannou M. Naik G. Eleftheriadis Wolfgang Nejdl Felix Alexander Gers Alexander Loser 86 11 0 16 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 68 4 0 15 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI Julie Gerlings Ioanna D. Constantiou 34 2 0 14 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 115 80 0 13 Oct 2022
Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace Marios Constantinides Daniele Quercia 52 24 0 12 Oct 2022
On Explainability in AI-Solutions: A Cross-Domain Survey S. D. Antón Daniel Schneider Hans D. Schotten 65 2 0 11 Oct 2022
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations Vasilis Gkolemis Theodore Dalamagas Christos Diou 56 13 0 10 Oct 2022
Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals Andreas Theodorou J. Nieves Virginia Dignum 26 1 0 08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 82 4 0 07 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps Katharina Weitz Alexander Zellner Elisabeth André 49 5 0 07 Oct 2022
Explanations as Programs in Probabilistic Logic Programming G. Vidal LRM 59 2 0 06 Oct 2022
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions Robin Cugny Julien Aligon Max Chevalier G. Roman-Jimenez O. Teste 61 15 0 06 Oct 2022
Boundary-Aware Uncertainty for Feature Attribution Explainers Davin Hill A. Masoomi Max Torop S. Ghimire Jennifer Dy FAtt 161 4 0 05 Oct 2022
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology R. Verhagen Siddharth Mehrotra Mark Antonius Neerincx Catholijn M. Jonker Myrthe L. Tielman 45 1 0 05 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 110 90 0 05 Oct 2022
Explanation-by-Example Based on Item Response Theory Lucas F. F. Cardoso Joseph Ribeiro Vitor Santos R. Silva M. Mota R. Prudêncio Ronnie Cley de Oliveira Alves 87 5 0 04 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 133 73 0 03 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 101 117 0 02 Oct 2022
A Survey on Knowledge Graph-based Methods for Automated Driving J. Luettin Sebastian Monka C. Henson Lavdim Halilaj 78 13 0 30 Sep 2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks Aitor Martinez Seras Javier Del Ser J. Lobo Pablo Garcia-Bringas N. Kasabov OODD 31 2 0 30 Sep 2022
Understanding Interventional TreeSHAP : How and Why it Works Gabriel Laberge Y. Pequignot FAtt 42 6 0 29 Sep 2022
OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture Quoc Hung Ngo Mohand Tahar Kechadi Nhien-An Le-Khac 12 5 0 29 Sep 2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge Cara L. Widmer Md Kamruzzaman Sarker Srikanth Nadella Joshua L. Fiechter I. Juvina B. Minnery Pascal Hitzler Joshua Schwartz M. Raymer 102 7 0 27 Sep 2022
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 104 16 0 27 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 84 28 0 26 Sep 2022
Explainable Reinforcement Learning via Model Transforms Mira Finkelstein Lucy Liu Nitsan Levy Schlot Y. Kolumbus David C. Parkes Jeffrey S. Rosenshein Sarah Keren 85 14 0 24 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 156 53 0 23 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 109 3 0 23 Sep 2022