explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning

29 July 2019

Thilo Spinner

U. Schlegel

H. Schäfer

Mennatallah El-Assady

HAI

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Papers citing "explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning"

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Title
The Human-Data-Model Interaction Canvas for Visual Analytics Jürgen Bernard 57 0 0 12 May 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 46 6 0 29 Jan 2025
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification Yuanzhe Jin Adrian Carrasco-Revilla Min Chen VLM 39 1 0 24 Sep 2024
Representation Debiasing of Generated Data Involving Domain Experts Aditya Bhattacharya Simone Stumpf K. Verbert 42 2 0 17 May 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 38 7 0 26 Jan 2024
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis Anahid N. Jalali Bernhard Haslhofer Simone Kriglstein Andreas Rauber FAtt 37 4 0 21 Sep 2023
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features Igor Cherepanov D. Sessler Alex Ulmer Hendrik Lücke-Tieke Jörn Kohlhammer FAtt 24 0 0 29 Jul 2023
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals Robin Shing Moon Chan Afra Amini Mennatallah El-Assady LRM AAML 45 2 0 21 Jun 2023
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain R. Alatrash Clara Siepmann Tannaz Vahidi 16 9 0 09 Jun 2023
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain Clara Siepmann Hoda Ghanbarzadeh R. Alatrash 32 8 0 26 May 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 33 5 0 19 May 2023
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Samantha Robertson Zijie J. Wang Dominik Moritz Mary Beth Kery Fred Hohman 38 15 0 12 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 32 7 0 05 Apr 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing Jiafu Wei Ding Xia H. Xie Chia-Ming Chang Chuntao Li Xi Yang KELM 32 1 0 08 Dec 2022
Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications L. Christino Taylor Hill F. Paulovich 21 0 0 02 Dec 2022
Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Survey J. Boley Maoyuan Sun 30 0 0 09 Sep 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 31 3 0 09 Aug 2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language Rita Sevastjanova Mennatallah El-Assady LRM 40 9 0 14 Jul 2022
ViNNPruner: Visual Interactive Pruning for Deep Learning U. Schlegel Samuel Schiegg Daniel A. Keim VLM 27 2 0 31 May 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 46 31 0 04 Apr 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 34 27 0 22 Mar 2022
Explainable Predictive Process Monitoring: A User Evaluation Williams Rizzi M. Comuzzi Chiara Di Francescomarino Chiara Ghidini Suhwan Lee F. Maggi Alexander Nolte FaML XAI 22 8 0 15 Feb 2022
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 31 65 0 15 Nov 2021
Time Series Model Attribution Visualizations as Explanations U. Schlegel Daniel A. Keim TDI BDL FAtt AI4TS XAI 48 15 0 27 Sep 2021
Contrastive Identification of Covariate Shift in Image Data Matthew Lyle Olson Thu Nguyen Gaurav Dixit Neale Ratzlaff Weng-Keen Wong Minsuk Kahng OOD 30 8 0 18 Aug 2021
Visual Analysis of Hyperproperties for Understanding Model Checking Results Tom Horak Norine Coenen Niklas Metzger Christopher Hahn Tamara Flemisch Julián Méndez Dennis Dimov Bernd Finkbeiner Raimund Dachselt 21 13 0 08 Aug 2021
Improving Visualization Interpretation Using Counterfactuals Smiti Kaul D. Borland Nan Cao David Gotz CML 10 17 0 21 Jul 2021
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers M. T. Fischer Frederik L. Dennig Daniel Seebacher Daniel A. Keim Mennatallah El-Assady 21 2 0 28 Jun 2021
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance Jack W. Stokes P. England K. Kane AAML 21 15 0 20 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 34 184 0 15 May 2021
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making Alexandra Zytek Dongyu Liu R. Vaithianathan K. Veeramachaneni 19 46 0 02 Mar 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 34 126 0 24 Jan 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 43 393 0 12 Jan 2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 17 25 0 15 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 23 216 0 21 Aug 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition Mahsan Nourani Chiradeep Roy Tahrima Rahman Eric D. Ragan Nicholas Ruozzi Vibhav Gogate AAML 15 17 0 05 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 24 44 0 01 May 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 60 89 0 26 Jan 2020
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections Mennatallah El-Assady Rebecca Kehlbeck C. Collins Daniel A. Keim Oliver Deussen 27 43 0 01 Aug 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 39 626 0 29 Mar 2019