Title
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 83 2 0 26 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 68 1 0 24 Mar 2023
Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods Thilo Hagendorff LLMAG 132 4 0 24 Mar 2023
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 85 0 0 23 Mar 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma T. Chanda Katja Hauser S. Hobelsberger Tabea-Clara Bucher Carina Nogueira Garcia ... J. Utikal K. Ghoreschi S. Fröhling E. Krieghoff-Henning T. Brinker 73 75 0 17 Mar 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 109 3 0 15 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 88 2 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 95 1 0 14 Mar 2023
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders Anna Kawakami Shreyans Chowdhary Shamsi T. Iqbal Q. V. Liao Alexandra Olteanu J. Suh Koustuv Saha 67 37 0 13 Mar 2023
On the Soundness of XAI in Prognostics and Health Management (PHM) D. Martín Juan Galán Páez J. Borrego-Díaz 70 13 0 09 Mar 2023
X-Pruner: eXplainable Pruning for Vision Transformers Lu Yu Wei Xiang ViT 60 50 0 08 Mar 2023
DNBP: Differentiable Nonparametric Belief Propagation Anthony Opipari Jana Pavlasek Chao Chen Shoutian Wang Karthik Desingh Odest Chadwicke Jenkins 70 3 0 08 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 76 83 0 06 Mar 2023
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models Edoardo Mosca Daryna Dementieva Tohid Ebrahim Ajdari Maximilian Kummeth Kirill Gringauz Yutong Zhou Georg Groh 98 8 0 06 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 96 1 0 06 Mar 2023
Online simulator-based experimental design for cognitive model selection Alexander Aushev Aini Putkonen Grégoire Clarté Suyog H. Chandramouli Luigi Acerbi Samuel Kaski Andrew Howes 56 2 0 03 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction Zhijie Wang Yuheng Huang Basel Alomair Lei Ma Tianyi Zhang HAI 107 7 0 02 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 109 40 0 01 Mar 2023
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms Jeroen Ooge L. Dereu K. Verbert LLMSV 42 8 0 28 Feb 2023
Knowledge Discovery from Atomic Structures using Feature Importances Joakim Linja J. Hämäläinen A. Pihlajamäki Paavo Nieminen Sami Malola H. Häkkinen T. Kärkkäinen 87 1 0 28 Feb 2023
A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas Iztok Fister Iztok Fister D. Fister V. Podgorelec S. Salcedo-Sanz AI4TS 57 18 0 24 Feb 2023
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries P. Kudva R. Bordawekar Apoorva Nitsure 65 0 0 23 Feb 2023
SurvLIMEpy: A Python package implementing SurvLIME Cristian Pachón-García Carlos Hernández-Pérez Pedro Delicado Verónica Vilaplana GP 82 10 0 21 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 93 11 0 20 Feb 2023
Why is the prediction wrong? Towards underfitting case explanation via meta-classification Sheng Zhou P. Blanchart M. Crucianu Marin Ferecatu 121 1 0 20 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 86 24 0 20 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 200 1 0 17 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 120 17 0 16 Feb 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 105 41 0 16 Feb 2023
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions Binyang Song Ruilin Zhou Faez Ahmed AI4CE 144 47 0 14 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 85 4 0 11 Feb 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 97 9 0 10 Feb 2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions Mahed Abroshan Saumitra Mishra Mohammad Mahdi Khalili 77 4 0 09 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 128 2 0 08 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 79 3 0 07 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 99 0 0 06 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 76 3 0 04 Feb 2023
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning -- A Residual Physics Approach S. Naunheim Y. Kuhl D. Schug V. Schulz F. Mueller OOD 59 11 0 03 Feb 2023
Example-Based Explainable AI and its Application for Remote Sensing Image Classification Shin-nosuke Ishikawa Masato Todo Masato Taki Y. Uchiyama Kazunari Matsunaga Pei-Ru Lin Taiki Ogihara Masao Yasui 43 24 0 03 Feb 2023
Explainable Human-Robot Training and Cooperation with Augmented Reality Chaocui Wang Anna Belardinelli Stephan Hasler Theodoros Stouraitis Daniel Tanneberg Michael Gienger 94 24 0 02 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 106 65 0 01 Feb 2023
Review of methods for automatic cerebral microbleeds detection M. Ferlin Zuzanna Klawikowska M. Grochowski Malgorzata Grzywiñska E. Szurowska 35 0 0 31 Jan 2023
Towards the Linear Algebra Based Taxonomy of XAI Explanations S. Nõmm XAI 39 0 0 30 Jan 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 58 0 0 26 Jan 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare Andreas Triantafyllopoulos Alexander Kathan Alice Baird Lukas Christ Alexander Gebhard ... Shahin Amiriparian K. D. Bartl-Pokorny A. Batliner Florian B. Pokorny Björn W. Schuller 116 8 0 25 Jan 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 102 45 0 23 Jan 2023
Feature construction using explanations of individual predictions Boštjan Vouk Matej Guid Marko Robnik-Šikonja FAtt 84 10 0 23 Jan 2023
Sanity checks and improvements for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 111 3 0 20 Jan 2023
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML) Stephen Meisenbacher P. Norlander AILaw 38 2 0 20 Jan 2023
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris FAtt 38 9 0 18 Jan 2023