Exploratory Text Analysis using Lexical Episode Plots. - Valentin Gold; Christian Rohrdantz; Mennatallah El-Assady (EuroVis (Short Papers), 2015)

Generative Data Models for Validation and Evaluation of Visualization Techniques. - Christoph Schulz 001; Arlind Nocaj; Mennatallah El-Assady; Steffen Frey; Marcel Hlawatsch; Michael Hund; Grzegorz Karol Karch; Rudolf Netzel; Christin Schätzle; Miriam Butt; Daniel A. Keim; Thomas Ertl; et al. (BELIV, 2016)

Argumentanalyse in digitalen Textkorpora. - Miriam Butt; Gerhard Heyer; Katharina Holzinger; Cathleen Kantner; Daniel A. Keim; Jonas Kuhn; Gary S. Schaal; André Blessing; Sebastian Dumm; Mennatallah El-Assady; Valentin Gold; Annette Hautli-Janisz; et al. (DHd, 2016)

ConToVi: Multi-Party Conversation Exploration using Topic-Space Views. - Mennatallah El-Assady; Valentin Gold; Carmela Acevedo; Christopher Collins 001; Daniel A. Keim (Comput. Graph. Forum, 2016)

Interactive Visual Analysis of Transcribed Multi-Party Discourse. - Mennatallah El-Assady; Annette Hautli-Janisz; Valentin Gold; Miriam Butt; Katharina Holzinger; Daniel A. Keim (ACL (System Demonstrations), 2017)

Visual Analysis of Geolocated Echo Chambers in Social Media. - Michael Hundt; Bruno Schneider; Mennatallah El-Assady; Daniel A. Keim; Alexandra Diehl (EuroVis (Posters), 2017)

Feature Alignment for the Analysis of Verbatim Text Transcripts. - Wolfgang Jentner; Mennatallah El-Assady; Bela Gipp; Daniel A. Keim (EuroVA@EuroVis, 2017)

Rhetorical strategies in German argumentative dialogs. - Annette Hautli-Janisz; Mennatallah El-Assady (Argument Comput., 2017)

NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations. - Mennatallah El-Assady; Rita Sevastjanova; Bela Gipp; Daniel A. Keim; Christopher Collins 001 (Comput. Graph. Forum, 2017)

Visual linguistic analysis of political discussions: Measuring deliberative quality. - Valentin Gold; Mennatallah El-Assady; Annette Hautli-Janisz; Tina Bögel; Christian Rohrdantz; Miriam Butt; Katharina Holzinger; Daniel A. Keim (Digit. Scholarsh. Humanit., 2017)

LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results. - Mennatallah El-Assady; Fabian Sperrle; Rita Sevastjanova; Michael Sedlmair; Daniel A. Keim (BDVA, 2018)

ADD-up: Visual Analytics for Augmented Deliberative Democracy. - Brian Plüss; Mennatallah El-Assady; Fabian Sperrle; Valentin Gold; Katarzyna Budzynska; Annette Hautli-Janisz; Chris Reed 001 (COMMA, 2018)

Visual Text Analytics: Techniques for Linguistic Information Visualization. - Mennatallah El-Assady (DocEng, 2018)

VisGuides: A Forum for Discussing Visualization Guidelines. - Alexandra Diehl; Alfie Abdul-Rahman; Mennatallah El-Assady; Benjamin Bach; Daniel A. Keim; Min Chen 001 (EuroVis (Short Papers), 2018)

Visualization and the Digital Humanities. - Adam James Bradley; Mennatallah El-Assady; Katharine Coles; Eric C. Alexander; Min Chen 001; Christopher Collins 001; Stefan Jänicke; David Joseph Wrisley (IEEE Computer Graphics and Applications, 2018)

Quality Metrics for Information Visualization. - Michael Behrisch 001; Michael Blumenschein; Nam Wook Kim; Lin Shao 001; Mennatallah El-Assady; Johannes Fuchs 001; Daniel Seebacher; Alexandra Diehl; Ulrik Brandes; Hanspeter Pfister; Tobias Schreck; Daniel Weiskopf; et al. (Comput. Graph. Forum, 2018)

ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics. - Mennatallah El-Assady; Rita Sevastjanova; Daniel A. Keim; Christopher Collins 001 (Comput. Graph. Forum, 2018)

Analyzing Visual Mappings of Traditional and Alternative Music Notation. - Matthias Miller; Johannes Häußler; Matthias Kraus 002; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2018)

Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework. - Mennatallah El-Assady; Rita Sevastjanova; Fabian Sperrle; Daniel A. Keim; Christopher Collins 001 (IEEE Trans. Vis. Comput. Graph., 2018)

lingvis.io - A Linguistic Visual Analytics Framework. - Mennatallah El-Assady; Wolfgang Jentner; Fabian Sperrle; Rita Sevastjanova; Annette Hautli-Janisz; Miriam Butt; Daniel A. Keim (ACL (3), 2019)

Augmenting Music Sheets with Harmonic Fingerprints. - Matthias Miller; Alexandra Bonnici; Mennatallah El-Assady (DocEng, 2019)

Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization Pipeline. - Matthias Kraus 002; Matthias Miller; Juri Buchmüller; Manuel Stein; Niklas Weiler; Daniel A. Keim; Mennatallah El-Assady (VISIGRAPP (Revised Selected Papers), 2019)

Towards A Rigorous Evaluation Of XAI Methods On Time Series. - Hiba Arnout; Mennatallah El-Assady; Daniela Oelke; Daniel A. Keim (ICCV Workshops, 2019)

VIANA: Visual Interactive Annotation of Argumentation. - Fabian Sperrle; Rita Sevastjanova; Rebecca Kehlbeck; Mennatallah El-Assady (VAST, 2019)

Visual Analytics of Conversational Dynamics. - Daniel Seebacher; Maximilian T. Fischer; Rita Sevastjanova; Daniel A. Keim; Mennatallah El-Assady (EuroVA@EuroVis, 2019)

H-Matrix: Hierarchical Matrix for Visual Analysis of Cross-Linguistic Features in Large Learner Corpora. - Mariana Shimabukuro; Jessica Zipf; Mennatallah El-Assady; Christopher Collins 001 (IEEE VIS (Short Papers), 2019)

Speculative Execution for Guided Visual Analytics. - Fabian Sperrle; Jürgen Bernard; Michael Sedlmair; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2019)

Framing Visual Musicology through Methodology Transfer. - Matthias Miller; Hanna Schäfer; Matthias Kraus 002; Marc Leman; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2019)

Towards a Rigorous Evaluation of XAI Methods on Time Series. - Udo Schlegel; Hiba Arnout; Mennatallah El-Assady; Daniela Oelke; Daniel A. Keim (CoRR, 2019)

Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution. - Mennatallah El-Assady; Fabian Sperrle; Oliver Deussen; Daniel A. Keim; Christopher Collins 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Bridging Text Visualization and Mining: A Task-Driven Survey. - Shixia Liu; Xiting Wang; Christopher Collins 001; Wenwen Dou; Fang-Xin Ou-Yang; Mennatallah El-Assady; Liu Jiang; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2019)

XplaiNLI: Explainable Natural Language Inference through Visual Analytics. - Aikaterini-Lida Kalouli; Rita Sevastjanova; Valeria de Paiva; Richard S. Crouch; Mennatallah El-Assady (COLING (Demonstrations), 2020)

From Sketching to Coding: Teaching Visualization as a Thinking Process. - Eric C. Alexander; Adam James Bradley; Catherine DeRose; Mennatallah El-Assady; Uta Hinrichs; Stefan Jänicke (DH, 2020)

Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. - Fabian Sperrle; Astrik Jeitler; Jürgen Bernard; Daniel A. Keim; Mennatallah El-Assady (EuroVA@Eurographics/EuroVis, 2020)

DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning. - Bruno Schneider; Daniel A. Keim; Mennatallah El-Assady (VISIGRAPP (3: IVAPP), 2020)

Towards visual debugging for multi-target time series classification. - Udo Schlegel; Eren Cakmak; Hiba Arnout; Mennatallah El-Assady; Daniela Oelke; Daniel A. Keim (IUI, 2020)

v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions. - Michael Blumenschein; Luka J. Debbeler; Nadine C. Lages; Britta Renner; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2020)

Augmenting Sheet Music with Rhythmic Fingerprints. - Daniel Fürst; Matthias Miller; Daniel A. Keim; Alexandra Bonnici; Hanna Schäfer; Mennatallah El-Assady (CoRR, 2020)

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. - Fabian Sperrle; Mennatallah El-Assady; Grace Guo; Duen Horng Chau; Alex Endert; Daniel A. Keim (CoRR, 2020)

Studying Visualization Guidelines According to Grounded Theory. - Alexandra Diehl; Matthias Kraus 002; Alfie Abdul-Rahman; Mennatallah El-Assady; Benjamin Bach; Robert S. Laramee; Daniel A. Keim; Min Chen 001 (CoRR, 2020)

A Comparative Analysis of Industry Human-AI Interaction Guidelines. - Austin P. Wright; Zijie J. Wang; Haekyu Park; Grace Guo; Fabian Sperrle; Mennatallah El-Assady; Alex Endert; Daniel A. Keim; Duen Horng Chau (CoRR, 2020)

An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks. - Udo Schlegel; Daniela Oelke; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2020)

Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. - Mennatallah El-Assady; Rebecca Kehlbeck; Christopher Collins 001; Daniel A. Keim; Oliver Deussen (IEEE Trans. Vis. Comput. Graph., 2020)

explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. - Thilo Spinner; Udo Schlegel; Hanna Schäfer; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2020)

Explaining Contextualization in Language Models using Visual Analytics. - Rita Sevastjanova; Aikaterini-Lida Kalouli; Christin Beck; Hanna Schäfer; Mennatallah El-Assady (ACL/IJCNLP (1), 2021)

Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration. - Thilo Spinner; Udo Schlegel; Martin Schall; Fabian Sperrle; Rita Sevastjanova; Beatrice Gobbo; Julius Rauscher; Mennatallah El-Assady; Daniel A. Keim (EDBT/ICDT Workshops, 2021)

Co-adaptive visual data analysis and guidance processes. - Fabian Sperrle; Astrik Jeitler; Jürgen Bernard; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph., 2021)

The Role of Interactive Visualization in Fostering Trust in AI. - Emma Beauxis-Aussalet; Michael Behrisch 001; Rita Borgo; Duen Horng Chau; Christopher Collins 001; David S. Ebert; Mennatallah El-Assady; Alex Endert; Daniel A. Keim; Jörn Kohlhammer; Daniela Oelke; Jaakko Peltonen; et al. (IEEE Computer Graphics and Applications, 2021)

Why Visualize? Arguments for Visual Support in Decision Making. - Dirk Streeb; Mennatallah El-Assady; Daniel A. Keim; Min Chen 001 (IEEE Computer Graphics and Applications, 2021)

CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. - Maximilian T. Fischer; Daniel Seebacher; Rita Sevastjanova; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2021)

A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. - Fabian Sperrle; Mennatallah El-Assady; Grace Guo; Rita Borgo; Duen Horng Chau; Alex Endert; Daniel A. Keim (Comput. Graph. Forum, 2021)

Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement. - Fabian Sperrle; Hanna Schäfer; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2021)

Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. - Maximilian T. Fischer; Frederik L. Dennig; Daniel Seebacher; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2021)

QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling. - Rita Sevastjanova; Wolfgang Jentner; Fabian Sperrle; Rebecca Kehlbeck; Jürgen Bernard; Mennatallah El-Assady (ACM Trans. Interact. Intell. Syst., 2021)

Why Visualize? Untangling a Large Network of Arguments. - Dirk Streeb; Mennatallah El-Assady; Daniel A. Keim; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2021)

xai-primer.com - A Visual Ideation Space of Interactive Explainers. - Beatrice Gobbo; Tommaso Elli; Uta Hinrichs; Mennatallah El-Assady (CHI Extended Abstracts, 2022)

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. - Kumar Shridhar; Jakub Macina; Mennatallah El-Assady; Tanmay Sinha; Manu Kapur; Mrinmaya Sachan (EMNLP, 2022)

Interactive Visual Explanation of Incremental Data Labeling. - Raphael Beckmann; Cristian Blaga; Mennatallah El-Assady; Matthias Zeppelzauer; Jürgen Bernard (EuroVA@EuroVis, 2022)

A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. - Yannick Metz; Udo Schlegel; Daniel Seebacher; Mennatallah El-Assady; Daniel A. Keim (EuroVA@EuroVis, 2022)

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. - Lukas Klein; João B. S. Carvalho; Mennatallah El-Assady; Paolo Penna; Joachim M. Buhmann; Paul F. Jaeger (MIDL, 2022)

How Effective are Uni- and Multivariate Typographic Encodings? Studying the Usage of FontWeight, Oblique Angle, and Spacing. - Andreas Bäuerle; Richard Brath; Mennatallah El-Assady (EuroVis (Short Papers), 2022)

Which Biases and Reasoning Pitfalls Do Explanations Trigger? Decomposing Communication Processes in Human-AI Interaction. - Mennatallah El-Assady; Caterina Moruzzi (IEEE Computer Graphics and Applications, 2022)

Augmenting Digital Sheet Music through Visual Analytics. - Matthias Miller; Daniel Fürst; Hanna Hauptmann; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2022)

CorpusVis: Visual Analysis of Digital Sheet Music Collections. - Matthias Miller; Julius Rauscher; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2022)

A Typology of Guidance Tasks in Mixed-Initiative Visual Analytics Environments. - Ignacio Pérez-Messina; Davide Ceneda; Mennatallah El-Assady; Silvia Miksch; Fabian Sperrle (Comput. Graph. Forum, 2022)

LMFingerprints: Visual Explanations of Language Model Embedding Spaces through Layerwise Contextualization Scores. - Rita Sevastjanova; Aikaterini-Lida Kalouli; Christin Beck; Hanna Hauptmann; Mennatallah El-Assady (Comput. Graph. Forum, 2022)

Characterizing Grounded Theory Approaches in Visualization. - Alexandra Diehl; Alfie Abdul-Rahman; Benjamin Bach; Mennatallah El-Assady; Matthias Kraus 002; Robert S. Laramee; Min Chen 001 (CoRR, 2022)

Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning. - David Lindner; Mennatallah El-Assady (CoRR, 2022)

From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process. - Lukas Klein; Mennatallah El-Assady; Paul F. Jäger (CoRR, 2022)

Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language. - Rita Sevastjanova; Mennatallah El-Assady (CoRR, 2022)

BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. - Eugene Bykovets; Yannick Metz; Mennatallah El-Assady; Daniel A. Keim; Joachim M. Buhmann (CoRR, 2022)

Characterizing Uncertainty in the Visual Text Analysis Pipeline. - Pantea Haghighatkhah; Mennatallah El-Assady; Jean-Daniel Fekete; Narges Mahyar; Carita Paradis; Vasiliki Simaki; Bettina Speckmann (CoRR, 2022)

How to Enable Uncertainty Estimation in Proximal Policy Optimization. - Eugene Bykovets; Yannick Metz; Mennatallah El-Assady; Daniel A. Keim; Joachim M. Buhmann (CoRR, 2022)

VisInReport: Complementing Visual Discourse Analytics Through Personalized Insight Reports. - Rita Sevastjanova; Mennatallah El-Assady; Adam Bradley; Christopher Collins 001; Miriam Butt; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2022)

Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. - Dirk Streeb; Yannick Metz; Udo Schlegel; Bruno Schneider; Mennatallah El-Assady; Hansjörg Neth; Min Chen 001; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2022)

Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. - Robin Chan; Afra Amini; Mennatallah El-Assady (ACL (demo), 2023)

From Sketching to Coding: Visualization as a Thinking Process. - Uta Hinrichs; Florian Windhager; Mennatallah El-Assady; Eric C. Alexander; Adam James Bradley; Mark-Jan Bludau (DH, 2023)

MindSet: A Bias-Detection Interface Using a Visual Human-in-the-Loop Workflow. - Senthuran Kalananthan; Alexander Kichutkin; Ziyao Shang; András Strausz; Francisco Javier Sanguino Bautiste; Mennatallah El-Assady (ECAI Workshops (2), 2023)

A Diachronic Perspective on User Trust in AI under Uncertainty. - Shehzaad Dhuliawala; Vilém Zouhar; Mennatallah El-Assady; Mrinmaya Sachan (EMNLP, 2023)

Why am I reading this? Explaining Personalized News Recommender Systems. - Sverrir Arnórsson; Florian Abeillon; Ibrahim Al Hazwani; Jürgen Bernard; Hanna Hauptmann; Mennatallah El-Assady (EuroVA@EuroVis, 2023)

ExpLIMEable: A Visual Analytics Approach for Exploring LIME. - Sonia Laguna; Julian N. Heidenreich; Jiugeng Sun; Nilüfer Cetin; Ibrahim Al Hazwani; Udo Schlegel; Furui Cheng; Mennatallah El-Assady (VAHC, 2023)

Explore, Compare, and Predict Investment Opportunities through What-If Analysis: US Housing Market Investigation. - Hongruyu Chen; Fernando Gonzalez; Oto Mraz; Sophia Kuhn; Cristina Guzman; Mennatallah El-Assady (VINCI, 2023)

The Future of Interactive Data Analysis and Visualization. - Jürgen Bernard; Mennatallah El-Assady (EuroVis (Panel), 2023)

Interaction Tasks for Explainable Recommender Systems. - Ibrahim Al Hazwani; Turki Alahmadi; Kathrin Wardatzky; Oana Inel; Mennatallah El-Assady; Jürgen Bernard (EuroVis (Posters), 2023)

Visual Explanations with Attributions and Counterfactuals on Time Series Classification. - Udo Schlegel; Daniela Oelke; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2023)

RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback. - Yannick Metz; David Lindner; Raphaël Baur; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2023)

GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations. - Kenza Amara; Mennatallah El-Assady; Rex Ying (CoRR, 2023)

Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges. - Thilo Spinner; Rebecca Kehlbeck; Rita Sevastjanova; Tobias Stähle; Daniel A. Keim; Oliver Deussen; Andreas Spitz; Mennatallah El-Assady (CoRR, 2023)

Visualization and the Humanities: Towards a Shared Research Agenda (Dagstuhl Seminar 23381). - Johanna Drucker; Mennatallah El-Assady; Uta Hinrichs; Florian Windhager; Derya Akbaba (Dagstuhl Reports, 2023)

Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data. - Wolfgang Jentner; Giuliana Lindholz; Hanna Hauptmann; Mennatallah El-Assady; Kwan-Liu Ma; Daniel A. Keim (ACM Trans. Interact. Intell. Syst., 2023)

Visual Comparison of Language Model Adaptation. - Rita Sevastjanova; Eren Cakmak; Shauli Ravfogel; Ryan Cotterell; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2023)

Lotse: A Practical Framework for Guidance in Visual Analytics. - Fabian Sperrle; Davide Ceneda; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2023)

Erklärbarkeitsstufen für die Mensch-KI-Interaktion in Visueller Textanalyse. - Mennatallah El-Assady (Ausgezeichnete Informatikdissertationen, 2023)

VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning. - Yannick Metz; Eugene Bykovets; Lucas Joos; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2023)

Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models. - Victor Schetinger; Sara Di Bartolomeo; Mennatallah El-Assady; Andrew M. McNutt; Matthias Miller; J. P. A. Passos; Jane Lydia Adams (Comput. Graph. Forum, 2023)

MediCoSpace: Visual Decision-Support for Doctor-Patient Consultations using Medical Concept Spaces from EHRs. - Sanne van der Linden; Rita Sevastjanova; Mathias Funk; Mennatallah El-Assady (ACM Trans. Manag. Inf. Syst., 2023)

SyntaxShap: Syntax-aware Explainability Method for Text Generation. - Kenza Amara; Rita Sevastjanova; Mennatallah El-Assady (ACL (Findings), 2024)

RELIC: Investigating Large Language Model Responses using Self-Consistency. - Furui Cheng; Vilém Zouhar; Simran Arora; Mrinmaya Sachan; Hendrik Strobelt; Mennatallah El-Assady (CHI, 2024)

On Affine Homotopy between Language Encoders. - Robin Chan; Reda Boumasmoud; Anej Svete; Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Mennatallah El-Assady; Ryan Cotterell (NeurIPS, 2024)

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics. - Lukas Klein; Carsten T. Lüth; Udo Schlegel; Till J. Bungert; Mennatallah El-Assady; Paul F. Jaeger (NeurIPS, 2024)

PowerGraph: A power grid benchmark dataset for graph neural networks. - Anna Varbella; Kenza Amara; Blazhe Gjorgiev; Mennatallah El-Assady; Giovanni Sansavini (NeurIPS, 2024)

Towards Personal Explanations for Recommender Systems: A Study on the Impact of Familiarity and Urgency. - Ibrahim Al Hazwani; Nimra Ahmed; Mennatallah El-Assady; Jürgen Bernard (NordiCHI (Adjunct), 2024)

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. - Emily Wall 001; Laura E. Matzen; Mennatallah El-Assady; Peta Masters; Helia Hosseinpour; Alex Endert; Rita Borgo; Polo Chau; Adam Perer; Harald T. Schupp; Hendrik Strobelt; Lace M. K. Padilla (PacificVis, 2024)

ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. - Ibrahim Al Hazwani; Tiantian Luo; Oana Inel; Francesco Ricci 001; Mennatallah El-Assady; Jürgen Bernard (UMAP (Adjunct Publication), 2024)

Challenges and Opportunities in Text Generation Explainability. - Kenza Amara; Rita Sevastjanova; Mennatallah El-Assady (xAI (1), 2024)

Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation. - Steffen Holter; Mennatallah El-Assady (Comput. Graph. Forum, 2024)

Interactive Analysis of LLMs using Meaningful Counterfactuals. - Furui Cheng; Vilém Zouhar; Robin Shing Moon Chan; Daniel Fürst; Hendrik Strobelt; Mennatallah El-Assady (CoRR, 2024)

MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music. - Matthias Miller; Daniel Fürst; Maximilian T. Fischer; Hanna Hauptmann; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2024)

iNNspector: Visual, Interactive Deep Model Debugging. - Thilo Spinner; Daniel Fürst; Mennatallah El-Assady (CoRR, 2024)

iToT: An Interactive System for Customized Tree-of-Thought Generation. - Alan Boyle; Isha Gupta; Sebastian Hönig; Lukas Mautner; Kenza Amara; Furui Cheng; Mennatallah El-Assady (CoRR, 2024)

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. - Kenza Amara; Lukas Klein; Carsten T. Lüth; Paul Jäger 002; Hendrik Strobelt; Mennatallah El-Assady (CoRR, 2024)

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework. - Yannick Metz; David Lindner; Raphaël Baur; Mennatallah El-Assady (CoRR, 2024)

Challenges and Opportunities for Visual Analytics in Jurisprudence. - Daniel Fürst; Mennatallah El-Assady; Daniel A. Keim; Maximilian T. Fischer (CoRR, 2024)

A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics. - Davide Ceneda; Christopher Collins 001; Mennatallah El-Assady; Silvia Miksch; Christian Tominski; Alessio Arleo (IEEE Trans. Vis. Comput. Graph., 2024)

-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation. - Thilo Spinner; Rebecca Kehlbeck; Rita Sevastjanova; Tobias Stähle; Daniel A. Keim; Oliver Deussen; Mennatallah El-Assady (ACM Trans. Interact. Intell. Syst., 2024)

FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space. - Frederik L. Dennig; Matthias Miller; Daniel A. Keim; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2024)

Personalized Language Model Selection Through Gamified Elicitation of Contrastive Concept Preferences. - Rita Sevastjanova; Hanna Hauptmann; Sebastian Deterding; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2024)

Finding Needles in Document Haystacks: Augmenting Serendipitous Claim Retrieval Workflows. - Moritz Dück; Steffen Holter; Robin Shing Moon Chan; Rita Sevastjanova; Mennatallah El-Assady (CHI, 2025)

Reward Learning from Multiple Feedback Types. - Yannick Metz; András Geiszl; Raphaël Baur; Mennatallah El-Assady (ICLR, 2025)

A Design Space for Intelligent Dialogue Augmentation. - Robin Shing Moon Chan; Anne Marx; Alison Kim; Mennatallah El-Assady (IUI, 2025)

DxHF: Providing High-Quality Human Feedback for LLM Alignment with Interactive Decomposition. - Danqing Shi; Furui Cheng; Tino Weinkauf; Antti Oulasvirta; Mennatallah El-Assady (UIST, 2025)

LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections. - Rita Sevastjanova; Robin Gerling; Thilo Spinner; Mennatallah El-Assady (Comput. Graph. Forum, 2025)

f-RecX: A framework for designing effective textual explanations in recommender systems' user interfaces. - Ibrahim Al Hazwani; Gabriela Morgenshtern; Mennatallah El-Assady; Jürgen Bernard (Int. J. Hum. Comput. Stud., 2025)

2024 VGTC Visualization Significant New Researcher Award. - Dominik Moritz; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2025)

ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance. - Arpit Narechania; Kaustubh Odak; Mennatallah El-Assady; Alex Endert (IEEE Trans. Vis. Comput. Graph., 2025)

LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections. - Rita Sevastjanova; Robin Gerling; Thilo Spinner; Mennatallah El-Assady (CoRR, 2025)

Concept-Level Explainability for Auditing & Steering LLM Responses. - Kenza Amara; Rita Sevastjanova; Mennatallah El-Assady (CoRR, 2025)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. - Chenfei Xiong; Jingwei Ni; Yu Fan 007; Vilém Zouhar; Donya Rooein; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Zhijing Jin 001; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Mennatallah El-Assady; et al. (CoRR, 2025)

Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents. - Xinyuan Yan; Rita Sevastjanova; Sinie van der Ben; Mennatallah El-Assady; Bei Wang (CoRR, 2025)

DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition. - Danqing Shi; Furui Cheng; Tino Weinkauf; Antti Oulasvirta; Mennatallah El-Assady (CoRR, 2025)

Beyond Quantification: Navigating Uncertainty in Professional AI Systems. - Sylvie Delacroix; Diana Robinson; Umang Bhatt; Jacopo Domenicucci; Jessica Montgomery; Gaël Varoquaux; Carl Henrik Ek; Vincent Fortuin; Yulan He 001; Tom Diethe; Neill W. Campbell; Mennatallah El-Assady; et al. (CoRR, 2025)

CafGa: Customizing Feature Attributions to Explain Language Models. - Alan Boyle; Furui Cheng; Vilém Zouhar; Mennatallah El-Assady (CoRR, 2025)

Dia-Lingle: A Gamified Interface for Dialectal Data Collection. - Jiugeng Sun; Rita Sevastjanova; Sina Ahmadi; Rico Sennrich; Mennatallah El-Assady (CoRR, 2025)

An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization. - Alexandra Diehl; Alfie Abdul-Rahman; Benjamin Bach; Mennatallah El-Assady; Matthias Kraus 002; Robert S. Laramee; Daniel A. Keim; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2025)

A Wizard of Oz Study of Guidance Strategies and Dynamics. - Fabian Sperrle; Mennatallah El-Assady; Alessio Arleo; Davide Ceneda (IEEE Trans. Vis. Comput. Graph., 2025)