Papers citing 'Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI'

Title
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 249 1 0 07 Jun 2021
Data-Driven Design-by-Analogy: State of the Art and Future Directions Shuo Jiang Jie Hu Kristin L. Wood Jianxi Luo 204 65 0 03 Jun 2021
Is Sparse Attention more Interpretable?Annual Meeting of the Association for Computational Linguistics (ACL), 2021 Clara Meister Stefan Lazov Isabelle Augenstein Robert Bamler MILM 158 49 0 02 Jun 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methodsPeerJ Computer Science (PeerJ Comput. Sci.), 2021 E. Amparore Alan Perotti P. Bajardi FAtt 168 74 0 01 Jun 2021
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily SurroundingsACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), 2021 Chao Wang Pengcheng An HAI 109 9 0 31 May 2021
Know Your Model (KYM): Increasing Trust in AI and Machine Learning Mary Roszel Robert Norvill Jean Hilger R. State 181 8 0 31 May 2021
Do not explain without context: addressing the blind spot of model explanations Katarzyna Wo'znica Katarzyna Pkekala Hubert Baniecki Wojciech Kretowicz El.zbieta Sienkiewicz P. Biecek 120 1 0 28 May 2021
Fooling Partial Dependence via Data Poisoning Hubert Baniecki Wojciech Kretowicz P. Biecek AAML 244 28 0 26 May 2021
Development and evaluation of an Explainable Prediction Model for Chronic Kidney Disease Patients based on Ensemble TreesIEEE Access (IEEE Access), 2021 Pedro A. Moreno-Sánchez 130 51 0 21 May 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 265 31 0 21 May 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 170 16 0 20 May 2021
A Review on Explainability in Multimodal Deep Neural NetsIEEE Access (IEEE Access), 2021 Gargi Joshi Rahee Walambe K. Kotecha 329 171 0 17 May 2021
How to Explain Neural Networks: an Approximation Perspective Hangcheng Dong Bingguo Liu Fengdong Chen Dong Ye Guodong Liu FAtt 143 1 0 17 May 2021
Designer-User Communication for XAI: An epistemological approach to discuss XAI design J. Ferreira Mateus de Souza Monteiro 75 7 0 17 May 2021
Abstraction, Validation, and Generalization for Explainable Artificial IntelligenceApplied AI Letters (AA), 2021 Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto 151 7 0 16 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and ConceptsData mining and knowledge discovery (DMKD), 2021 Gesina Schwalbe Bettina Finzel XAI 377 258 0 15 May 2021
Verification of Size Invariance in DNN Activations using Concept EmbeddingsArtificial Intelligence Applications and Innovations (AIAI), 2021 Gesina Schwalbe 3DPC 102 10 0 14 May 2021
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastián M. Palacio Adriano Lucieri Mohsin Munir Jörn Hees Sheraz Ahmed Andreas Dengel 125 40 0 14 May 2021
Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence Yingbo Li Yucong Duan Anamaria-Beatrice Spulber Haoyang Che Z. Maamar Zhao Li Chen-Ying Yang Yuxiao Lei 140 6 0 13 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 177 9 0 13 May 2021
ExpMRC: Explainability Evaluation for Machine Reading Comprehension Yiming Cui Ting Liu Wanxiang Che Zhigang Chen Shijin Wang ELM LRM 84 12 0 10 May 2021
Towards Explainable, Privacy-Preserved Human-Motion Affect RecognitionIEEE Symposium Series on Computational Intelligence (SSCI), 2021 Matthew Malek-Podjaski Fani Deligianni CVBM 185 8 0 09 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language TasksIEEE International Conference on Computer Vision (ICCV), 2021 Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 316 108 0 08 May 2021
Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles John Törnblom Simin Nadjm-Tehrani 106 5 0 06 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial IntelligenceIEEE Communications Surveys and Tutorials (COMST), 2021 Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 310 123 0 04 May 2021
Towards Accountability in the Use of Artificial Intelligence for Public AdministrationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 M. Loi M. Spielkamp 215 56 0 04 May 2021
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health MonitoringApplied Network Science (Appl Netw Sci), 2021 Stefan Bloemheuvel Jurgen van den Hoogen Martin Atzmueller AI4CE 204 30 0 01 May 2021
Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report)CADE (CADE), 2021 Christian Alrabbaa F. Baader Stefan Borgwardt Patrick Koopmann Alisa Kovtunova 97 28 0 27 Apr 2021
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learningIEEE International Conference on Robotics and Automation (ICRA), 2021 M. Sharif Deniz Erdogmus Chris Amato T. Padır 105 3 0 26 Apr 2021
TrustyAI Explainability Toolkit Rob Geada Tommaso Teofili Rui Vieira Rebecca Whitworth Daniele Zonca 205 2 0 26 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature AttributionInternational Conference on Machine Learning (ICML), 2021 Darius Afchar Romain Hennequin Vincent Guigue FAtt 332 22 0 26 Apr 2021
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study Qinghao Ye Jun Xia Guang Yang 163 66 0 25 Apr 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use caseInformation Fusion (Inf. Fusion), 2021 Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 293 87 0 24 Apr 2021
Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI Michael Timothy Bennett Y. Maruyama 162 4 0 23 Apr 2021
Rule Generation for Classification: Scalability, Interpretability, and FairnessComputers & Operations Research (Comput. Oper. Res.), 2021 Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 485 4 0 21 Apr 2021
Open Challenges on Generating Referring Expressions for Human-Robot Interaction Fethiye Irmak Dogan Iolanda Leite 176 5 0 19 Apr 2021
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss Jokin Labaien E. Zugasti Xabier De Carlos CML 191 4 0 19 Apr 2021
SurvNAM: The machine learning survival model explanationNeural Networks (NN), 2021 Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 180 35 0 18 Apr 2021
NICE: An Algorithm for Nearest Instance Counterfactual ExplanationsData mining and knowledge discovery (DMKD), 2021 Dieter Brughmans Pieter Leyman David Martens 217 80 0 15 Apr 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion DetectionBig Data Research (BDR), 2021 Mohanad Sarhan S. Layeghy Marius Portmann 236 94 0 15 Apr 2021
Enhancing Deep Neural Network Saliency Visualizations with Gradual ExtrapolationIEEE Access (IEEE Access), 2021 Tomasz Szandała FAtt 122 4 0 11 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applicationsIEEE Transactions on Network and Service Management (TNSM), 2021 Lixuan Yang A. Finamore Feng Jun Dario Rossi 148 58 0 07 Apr 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations Archit Rathore Sunipa Dev J. M. Phillips Vivek Srikumar Yan Zheng Chin-Chia Michael Yeh Junpeng Wang Wei Zhang Bei Wang 132 14 0 06 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 246 162 0 02 Apr 2021
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional NetworkIEEE Access (IEEE Access), 2021 E. Tufan C. Tezcan Cengiz Acartürk 97 32 0 31 Mar 2021
Towards Active Learning Based Smart Assistant for ManufacturingAdvances in Production Management Systems (APMS), 2021 Patrik Zajec Jože M. Rožanec I. Novalija B. Fortuna Dunja Mladenić K. Kenda 70 11 0 30 Mar 2021
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networksJournal of NeuroEngineering and Rehabilitation (JNER), 2021 Benjamin Filtjens Pieter Ginis A. Nieuwboer P. Slaets Bart Vanrumste 148 27 0 29 Mar 2021
Dodrio: Exploring Transformer Models with Interactive VisualizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Zijie J. Wang Robert Turko Duen Horng Chau 186 45 0 26 Mar 2021
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and PerspectivesApplied Soft Computing (Appl Soft Comput), 2021 Javier Del Ser D. Casillas-Pérez L. Cornejo-Bueno Luis Prieto-Godino J. Sanz-Justo C. Casanova-Mateo S. Salcedo-Sanz AI4CE 168 49 0 26 Mar 2021
Toward Building Science Discovery Machines A. Khalili A. Bouchachia AI4CE 267 1 0 24 Mar 2021