YAWN: A Semantically Annotated Wikipedia XML Corpus. - Ralf Schenkel; Fabian M. Suchanek; Gjergji Kasneci (BTW, 2007)

The complexity of reasoning about pattern-based XML schemas. - Gjergji Kasneci; Thomas Schwentick (PODS, 2007)

How NAGA uncoils: searching with entities and relations. - Gjergji Kasneci; Fabian M. Suchanek; Maya Ramanath; Gerhard Weikum (WWW, 2007)

Yago: a core of semantic knowledge. - Fabian M. Suchanek; Gjergji Kasneci; Gerhard Weikum (WWW, 2007)

NAGA: Searching and Ranking Knowledge. - Gjergji Kasneci; Fabian M. Suchanek; Georgiana Ifrim; Maya Ramanath; Gerhard Weikum (ICDE, 2008)

NAGA: harvesting, searching and ranking knowledge. - Gjergji Kasneci; Fabian M. Suchanek; Georgiana Ifrim; Shady Elbassuoni; Maya Ramanath; Gerhard Weikum (SIGMOD Conference, 2008)

The YAGO-NAGA approach to knowledge discovery. - Gjergji Kasneci; Maya Ramanath; Fabian M. Suchanek; Gerhard Weikum (SIGMOD Rec., 2008)

YAGO: A Large Ontology from Wikipedia and WordNet. - Fabian M. Suchanek; Gjergji Kasneci; Gerhard Weikum (J. Web Semant., 2008)

MING: mining informative entity relationship subgraphs. - Gjergji Kasneci; Shady Elbassuoni; Gerhard Weikum (CIKM, 2009)

STAR: Steiner-Tree Approximation in Relationship Graphs. - Gjergji Kasneci; Maya Ramanath; Mauro Sozio; Fabian M. Suchanek; Gerhard Weikum (ICDE, 2009)

Graffiti: node labeling in heterogeneous networks. - Ralitsa Angelova; Gjergji Kasneci; Fabian M. Suchanek; Gerhard Weikum (WWW, 2009)

Database and information-retrieval methods for knowledge discovery. - Gerhard Weikum; Gjergji Kasneci; Maya Ramanath; Fabian M. Suchanek (Commun. ACM, 2009)

ANGIE: Active Knowledge for Interactive Exploration. - Nicoleta Preda; Fabian M. Suchanek; Gjergji Kasneci; Thomas Neumann 001; Maya Ramanath; Gerhard Weikum (Proc. VLDB Endow., 2009)

Searching and ranking in entity-relationship graphs. - Gjergji Kasneci (2009)

Bayesian Knowledge Corroboration with Logical Rules and User Feedback. - Gjergji Kasneci; Jurgen Van Gael; Ralf Herbrich; Thore Graepel (ECML/PKDD (2), 2010)

Active knowledge: dynamically enriching RDF knowledge bases by web services. - Nicoleta Preda; Gjergji Kasneci; Fabian M. Suchanek; Thomas Neumann 001; Wenjun Yuan; Gerhard Weikum (SIGMOD Conference, 2010)

DBrev: Dreaming of a Database Revolution. - Gjergji Kasneci; Jurgen Van Gael; Thore Graepel (CIDR, 2011)

Automated feature generation from structured knowledge. - Weiwei Cheng; Gjergji Kasneci; Thore Graepel; David H. Stern; Ralf Herbrich (CIKM, 2011)

CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise. - Gjergji Kasneci; Jurgen Van Gael; David H. Stern; Thore Graepel (WSDM, 2011)

Crowd IQ: aggregating opinions to boost performance. - Yoram Bachrach; Thore Graepel; Gjergji Kasneci; Michal Kosinski; Jurgen Van Gael (AAMAS, 2012)

Latent topics in graph-structured data. - Christoph Böhm 001; Gjergji Kasneci; Felix Naumann (CIKM, 2012)

Bayesian online clustering of eye movement data. - Enkelejda Tafaj; Gjergji Kasneci; Wolfgang Rosenstiel; Martin Bogdan (ETRA, 2012)

Reasoning about Knowledge from the Web - (Extended Abstract). - Gjergji Kasneci (ICWE Workshops, 2012)

Crowd IQ: measuring the intelligence of crowdsourcing platforms. - Michal Kosinski; Yoram Bachrach; Gjergji Kasneci; Jurgen Van Gael; Thore Graepel (WebSci, 2012)

Graffiti: graph-based classification in heterogeneous networks. - Ralitsa Angelova; Gjergji Kasneci; Gerhard Weikum (World Wide Web, 2012)

Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception. - Enkelejda Tafaj; Thomas C. Kübler; Gjergji Kasneci; Wolfgang Rosenstiel; Martin Bogdan (ICANN, 2013)

SIGMa: simple greedy matching for aligning large knowledge bases. - Simon Lacoste-Julien; Konstantina Palla; Alex Davies; Gjergji Kasneci; Thore Graepel; Zoubin Ghahramani (KDD, 2013)

Analyzing and predicting viral tweets. - Maximilian Jenders; Gjergji Kasneci; Felix Naumann (WWW (Companion Volume), 2013)

Bootstrapped Grouping of Results to Ambiguous Person Name Queries. - Toni Grütze; Gjergji Kasneci; Zhe Zuo; Felix Naumann (CoRR, 2013)

Rule-based Classification of Visual Field Defects. - Enkelejda Kasneci; Gjergji Kasneci; Ulrich Schiefer; Wolfgang Rosenstiel (HEALTHINF, 2014)

Temporal Anomaly Detection in Business Processes. - Andreas Rogge-Solti; Gjergji Kasneci (BPM, 2014)

Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. - Arvid Heise; Gjergji Kasneci; Felix Naumann (CIKM, 2014)

BEL: Bagging for Entity Linking. - Zhe Zuo; Gjergji Kasneci; Toni Grütze; Felix Naumann (COLING, 2014)

The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes. - Enkelejda Kasneci; Gjergji Kasneci; Thomas C. Kübler; Wolfgang Rosenstiel (ETRA, 2014)

Bootstrapping Wikipedia to answer ambiguous person name queries. - Toni Grütze; Gjergji Kasneci; Zhe Zuo; Felix Naumann (ICDE Workshops, 2014)

Assigning global relevance scores to DBpedia facts. - Philipp Langer; Patrick Schulze; Stefan George; Matthias Kohnen; Tobias Metzke; Ziawasch Abedjan; Gjergji Kasneci (ICDE Workshops, 2014)

A Serendipity Model for News Recommendation. - Maximilian Jenders; Thorben Lindhauer; Gjergji Kasneci; Ralf Krestel; Felix Naumann (KI, 2015)

Tweet-Recommender: Finding Relevant Tweets for News Articles. - Ralf Krestel; Thomas Werkmeister; Timur Pratama Wiradarma; Gjergji Kasneci (WWW (Companion Volume), 2015)

LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. - Gjergji Kasneci; Thomas Gottron (CIKM, 2016)

PupilNet: Convolutional Neural Networks for Robust Pupil Detection. - Wolfgang Fuhl; Thiago Santini; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2016)

CohEEL: Coherent and efficient named entity linking through random walks. - Toni Grütze; Gjergji Kasneci; Zhe Zuo; Felix Naumann (J. Web Semant., 2016)

LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. - Klaus Broelemann; Thomas Gottron; Gjergji Kasneci (ICDE, 2017)

Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. - Enkelejda Kasneci; Thomas C. Kübler; Klaus Broelemann; Gjergji Kasneci (Comput. Hum. Behav., 2017)

PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection. - Wolfgang Fuhl; Thiago Santini; Gjergji Kasneci; Wolfgang Rosenstiel; Enkelejda Kasneci (CoRR, 2017)

Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. - Klaus Broelemann; Thomas Gottron; Gjergji Kasneci (CoRR, 2018)

Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. - Klaus Broelemann; Gjergji Kasneci (CoRR, 2018)

CancelOut: A Layer for Feature Selection in Deep Neural Networks. - Vadim Borisov; Johannes Haug; Gjergji Kasneci (ICANN (2), 2019)

A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. - Klaus Broelemann; Gjergji Kasneci (IJCAI, 2019)

Validation loss for landmark detection. - Wolfgang Fuhl; Thomas C. Kübler; Rene Alexander Lotz; Gjergji Kasneci; Wolfgang Rosenstiel; Enkelejda Kasneci (CoRR, 2019)

Towards User Empowerment. - Martin Pawelczyk; Johannes Haug; Klaus Broelemann; Gjergji Kasneci (CoRR, 2019)

Training Decision Trees as Replacement for Convolution Layers. - Wolfgang Fuhl; Gjergji Kasneci; Wolfgang Rosenstiel; Enkelejda Kasneci (AAAI, 2020)

A MinHash approach for fast scanpath classification. - David Geisler; Nora Castner; Gjergji Kasneci; Enkelejda Kasneci (ETRA, 2020)

Learning Parameter Distributions to Detect Concept Drift in Data Streams. - Johannes Haug; Gjergji Kasneci (ICPR, 2020)

Aggregating Dependent Gaussian Experts in Local Approximation. - Hamed Jalali 001; Gjergji Kasneci (ICPR, 2020)

Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. - Johannes Haug; Martin Pawelczyk; Klaus Broelemann; Gjergji Kasneci (KDD, 2020)

On Counterfactual Explanations under Predictive Multiplicity. - Martin Pawelczyk; Klaus Broelemann; Gjergji Kasneci (UAI, 2020)

Learning Model-Agnostic Counterfactual Explanations for Tabular Data. - Martin Pawelczyk; Klaus Broelemann; Gjergji Kasneci (WWW, 2020)

Bias in Data-driven AI Systems - An Introductory Survey. - Eirini Ntoutsi; Pavlos Fafalios; Ujwal Gadiraju; Vasileios Iosifidis; Wolfgang Nejdl; Maria-Esther Vidal; Salvatore Ruggieri; Franco Turini; Symeon Papadopoulos; Emmanouil Krasanakis; Ioannis Kompatsiaris; Katharina Kinder-Kurlanda; et al. (CoRR, 2020)

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. - Nikolaos Nikolaou; Ingo P. Waldmann; Angelos Tsiaras; Mario Morvan; Billy Edwards; Kai Hou Yip; Giovanna Tinetti; Subhajit Sarkar; James M. Dawson; Vadim Borisov; Gjergji Kasneci; Matej Petkovic; et al. (CoRR, 2020)

Bias in data-driven artificial intelligence systems - An introductory survey. - Eirini Ntoutsi; Pavlos Fafalios; Ujwal Gadiraju; Vasileios Iosifidis; Wolfgang Nejdl; Maria-Esther Vidal; Salvatore Ruggieri; Franco Turini; Symeon Papadopoulos; Emmanouil Krasanakis; Ioannis Kompatsiaris; Katharina Kinder-Kurlanda; et al. (WIREs Data Mining Knowl. Discov., 2020)

Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. - Hamed Jalali 001; Martin Pawelczyk; Gjergji Kasneci (IEEE BigData, 2021)

SPARROW: Semantically Coherent Prototypes for Image Classification. - Stefan Kraft; Klaus Broelemann; Andreas Theissler; Gjergji Kasneci (BMVC, 2021)

TEyeD: Over 20 Million Real-World Eye Images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types. - Wolfgang Fuhl; Gjergji Kasneci; Enkelejda Kasneci (ISMAR, 2021)

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. - Martin Pawelczyk; Sascha Bielawski; Johannes van den Heuvel; Tobias Richter; Gjergji Kasneci (NeurIPS Datasets and Benchmarks, 2021)

On Baselines for Local Feature Attributions. - Johannes Haug; Stefan Zürn; Peter El-Jiz; Gjergji Kasneci (CoRR, 2021)

Gaussian Experts Selection using Graphical Models. - Hamed Jalali 001; Martin Pawelczyk; Gjergji Kasneci (CoRR, 2021)

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines. - Vadim Borisov; Johannes Meier; Johannes van den Heuvel; Hamed Jalali 001; Gjergji Kasneci (CoRR, 2021)

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. - Alejandra Bringas Colmenarejo; Luca Nannini; Alisa Rieger; Kristen M. Scott; Xuan Zhao; Gourab K. Patro; Gjergji Kasneci; Katharina Kinder-Kurlanda (AIES, 2022)

Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models. - Hamed Jalali 001; Gjergji Kasneci (BigComp, 2022)

Change Detection for Local Explainability in Evolving Data Streams. - Johannes Haug; Alexander Braun; Stefan Zürn; Gjergji Kasneci (CIKM, 2022)

Regressive Saccadic Eye Movements on Fake News. - Efe Bozkir; Gjergji Kasneci; Sonja Utz; Enkelejda Kasneci (ETRA, 2022)

Dynamic Model Tree for Interpretable Data Stream Learning. - Johannes Haug; Klaus Broelemann; Gjergji Kasneci (ICDE, 2022)

A Consistent and Efficient Evaluation Strategy for Attribution Methods. - Yao Rong; Tobias Leemann; Vadim Borisov; Gjergji Kasneci; Enkelejda Kasneci (ICML, 2022)

BoxShrink: From Bounding Boxes to Segmentation Masks. - Michael Gröger; Vadim Borisov; Gjergji Kasneci (MILLanD@MICCAI, 2022)

Evaluating Feature Attribution: An Information-Theoretic Perspective. - Yao Rong; Tobias Leemann; Vadim Borisov; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2022)

Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes. - Hamed Jalali 001; Gjergji Kasneci (CoRR, 2022)

Algorithmic Recourse in the Face of Noisy Human Responses. - Martin Pawelczyk; Teresa Datta; Johannes van den Heuvel; Gjergji Kasneci; Himabindu Lakkaraju (CoRR, 2022)

Standardized Evaluation of Machine Learning Methods for Evolving Data Streams. - Johannes Haug; Effi Tramountani; Gjergji Kasneci (CoRR, 2022)

Disentangling Embedding Spaces with Minimal Distributional Assumptions. - Tobias Leemann; Michael Kirchhof; Yao Rong; Enkelejda Kasneci; Gjergji Kasneci (CoRR, 2022)

Towards Human-centered Explainable AI: User Studies for Model Explanations. - Yao Rong; Tobias Leemann; Thai-trang Nguyen; Lisa Fiedler; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2022)

Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. - Carlos Mougan; Klaus Broelemann; Gjergji Kasneci; Thanassis Tiropanis; Steffen Staab (CoRR, 2022)

I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization. - Tobias Leemann; Martin Pawelczyk; Christian Thomas Eberle; Gjergji Kasneci (CoRR, 2022)

Decomposing Counterfactual Explanations for Consequential Decision Making. - Martin Pawelczyk; Lea Tiyavorabun; Gjergji Kasneci (CoRR, 2022)

Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach. - Hamed Jalali 001; Gjergji Kasneci (CoRR, 2022)

Relational Local Explanations. - Vadim Borisov; Gjergji Kasneci (CoRR, 2022)

Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. - Artjom Zern; Klaus Broelemann; Gjergji Kasneci (AAAI, 2023)

Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring System. - Hannah Deininger; Rosa Lavelle-Hill; Cora Parrisius; Ines Pieronczyk; Leona Colling; Detmar Meurers; Ulrich Trautwein; Benjamin Nagengast; Gjergji Kasneci (AIED, 2023)

Causal Fairness-Guided Dataset Reweighting using Neural Networks. - Xuan Zhao; Klaus Broelemann; Salvatore Ruggieri; Gjergji Kasneci (IEEE Big Data, 2023)

Counterfactual Explanation for Regression via Disentanglement in Latent Space. - Xuan Zhao; Klaus Broelemann; Gjergji Kasneci (ICDM (Workshops), 2023)

Could Human Gaze Augment Detectors of Synthetic Images? - Nikolaos Fotopoulos; Clara Riedmiller; Efe Bozkir; Panagiotis Tsinganos; Dimitris Ampeliotis; Gjergji Kasneci; Enkelejda Kasneci; Athanassios Skodras (DSP, 2023)

Language Models are Realistic Tabular Data Generators. - Vadim Borisov; Kathrin Seßler; Tobias Leemann; Martin Pawelczyk; Gjergji Kasneci (ICLR, 2023)

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse. - Martin Pawelczyk; Teresa Datta; Johannes van den Heuvel; Gjergji Kasneci; Himabindu Lakkaraju (ICLR, 2023)

On the Trade-Off between Actionable Explanations and the Right to be Forgotten. - Martin Pawelczyk; Tobias Leemann; Asia Biega; Gjergji Kasneci (ICLR, 2023)

Gaussian Membership Inference Privacy. - Tobias Leemann; Martin Pawelczyk; Gjergji Kasneci (NeurIPS, 2023)

Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. - Bardh Prenkaj; Mario Villaizán-Vallelado; Tobias Leemann; Gjergji Kasneci (PKDD/ECML Workshops (1), 2023)

When are post-hoc conceptual explanations identifiable? - Tobias Leemann; Michael Kirchhof; Yao Rong; Enkelejda Kasneci; Gjergji Kasneci (UAI, 2023)

Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. - Carlos Mougan; Klaus Broelemann; David Masip; Gjergji Kasneci; Thanassis Tiropanis; Steffen Staab (CoRR, 2023)

Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. - Xuan Zhao; Klaus Broelemann; Gjergji Kasneci (CoRR, 2023)

Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. - Xuan Zhao; Simone Fabbrizzi; Paula Reyero Lobo; Siamak Ghodsi; Klaus Broelemann; Steffen Staab; Gjergji Kasneci (CoRR, 2023)

DeepTLF: robust deep neural networks for heterogeneous tabular data. - Vadim Borisov; Klaus Broelemann; Enkelejda Kasneci; Gjergji Kasneci (Int. J. Data Sci. Anal., 2023)

I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. - Tobias Leemann; Martin Pawelczyk; Christian Thomas Eberle; Gjergji Kasneci (AAAI, 2024)

P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. - Shuo Yang; Chenchen Yuan; Yao Rong; Felix Steinbauer; Gjergji Kasneci (ACL (Findings), 2024)

Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. - Xuan Zhao; Simone Fabbrizzi; Paula Reyero Lobo; Siamak Ghodsi; Klaus Broelemann; Steffen Staab; Gjergji Kasneci (IEEE Big Data, 2024)

Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. - Shuo Yang; Gjergji Kasneci (LREC/COLING, 2024)

Understanding Knowledge Drift in LLMs Through Misinformation. - Alina Fastowski; Gjergji Kasneci (DELTA, 2024)

Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. - Xuan Zhao; Klaus Broelemann; Salvatore Ruggieri; Gjergji Kasneci (ECAI, 2024)

The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. - Miriam Schirmer; Tobias Leemann; Gjergji Kasneci; Jürgen Pfeffer; David Jurgens (EMNLP (Findings), 2024)

Explainability Meets Text Summarization: A Survey. - Mahdi Dhaini; Ege Erdogan; Smarth Bakshi; Gjergji Kasneci (INLG, 2024)

Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. - Bardh Prenkaj; Mario Villaizán-Vallelado; Tobias Leemann; Gjergji Kasneci (KDD, 2024)

Towards Non-adversarial Algorithmic Recourse. - Tobias Leemann; Martin Pawelczyk; Bardh Prenkaj; Gjergji Kasneci (xAI (3), 2024)

Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education. - Arne Bewersdorff; Christian Hartmann 005; Marie Hornberger; Kathrin Seßler; Maria Bannert; Enkelejda Kasneci; Gjergji Kasneci; Xiaoming Zhai; Claudia Nerdel (CoRR, 2024)

User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT. - Anna Bodonhelyi; Efe Bozkir; Shuo Yang; Enkelejda Kasneci; Gjergji Kasneci (CoRR, 2024)

Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. - Enkelejda Kasneci; Hong Gao 008; Süleyman Özdel; Virmarie Maquiling; Enkeleda Thaqi; Ka Hei Carrie Lau; Yao Rong; Gjergji Kasneci; Efe Bozkir (CoRR, 2024)

GermanPartiesQA: Benchmarking Commercial Large Language Models for Political Bias and Sycophancy. - Jan Batzner; Volker Stocker; Stefan Schmid 001; Gjergji Kasneci (CoRR, 2024)

ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. - Stefan Kraft; Andreas Theissler; Vera Wienhausen-Wilke; Philipp Walter; Gjergji Kasneci (CoRR, 2024)

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers. - Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2024)

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 V. Unhelkar; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep Neural Networks and Tabular Data: A Survey. - Vadim Borisov; Tobias Leemann; Kathrin Seßler; Johannes Haug; Martin Pawelczyk; Gjergji Kasneci (IEEE Trans. Neural Networks Learn. Syst., 2024)

RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. - Shuo Yang; Bardh Prenkaj; Gjergji Kasneci (AAAI, 2025)

Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models. - Chenchen Yuan; Zheyu Zhang 007; Shuo Yang; Bardh Prenkaj; Gjergji Kasneci (ACL (Findings), 2025)

ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. - Stefan Kraft; Andreas Theissler; Vera Wienhausen-Wilke; Philipp Walter; Gjergji Kasneci; Hendrik Lensch (CHIL, 2025)

Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods. - Mahdi Dhaini; Ege Erdogan; Nils Feldhus; Gjergji Kasneci (FAccT, 2025)

Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement. - Hannah Deininger; Cora Parrisius; Rosa Lavelle-Hill; Detmar Meurers; Ulrich Trautwein; Benjamin Nagengast; Gjergji Kasneci (LAK, 2025)

Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers. - Tobias Leemann; Alina Fastowski; Felix Pfeiffer; Gjergji Kasneci (Trans. Mach. Learn. Res., 2025)

Explanation Shift: How Did the Distribution Shift Impact the Model? - Carlos Mougan; Klaus Broelemann; Gjergji Kasneci; Thanassis Tiropanis; Steffen Staab (Trans. Mach. Learn. Res., 2025)

Europe's AI Imperative - A Pragmatic Blueprint for Global Tech Leadership. - Gjergji Kasneci; Urs Gasser; Thomas F. Hofmann; Gerhard Kramer; Gerhard Müller; Claudia Peus; Helmut Schönenberger; Enkelejda Kasneci (CoRR, 2025)

TLOB: A Novel Transformer Model with Dual Attention for Stock Price Trend Prediction with Limit Order Book Data. - Leonardo Berti; Gjergji Kasneci (CoRR, 2025)

Emergent Abilities in Large Language Models: A Survey. - Leonardo Berti; Flavio Giorgi; Gjergji Kasneci (CoRR, 2025)

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers. - Roman Abramov; Felix Steinbauer; Gjergji Kasneci (CoRR, 2025)

Can You Tell Real from Fake Face Images? Perception of Computer-Generated Faces by Humans. - Efe Bozkir; Clara Riedmiller; Athanassios N. Skodras; Gjergji Kasneci; Enkelejda Kasneci (ACM Trans. Appl. Percept., 2025)

EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models. - Mahdi Dhaini; Kafaite Zahra Hussain; Efstratios Zaradoukas; Gjergji Kasneci (CoRR, 2025)

Graph Style Transfer for Counterfactual Explainability. - Bardh Prenkaj; Efstratios Zaradoukas; Gjergji Kasneci (CoRR, 2025)

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents. - Michael Kirchhof; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2025)

SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification. - Shuo Yang; Bardh Prenkaj; Gjergji Kasneci (CoRR, 2025)

Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models. - Zheyu Zhang 007; Shuo Yang; Bardh Prenkaj; Gjergji Kasneci (CoRR, 2025)

Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs. - Shuo Yang; Zheyu Zhang 007; Bardh Prenkaj; Gjergji Kasneci (CoRR, 2025)

Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study. - Mahdi Dhaini; Juraj Vladika; Ege Erdogan; Zineb Attaoui; Gjergji Kasneci (CoRR, 2025)

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges. - Mahdi Dhaini; Tobias Müller; Roksoliana Rabets; Gjergji Kasneci (CoRR, 2025)

When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing. - Mahdi Dhaini; Stephen Meisenbacher; Ege Erdogan; Florian Matthes; Gjergji Kasneci (CoRR, 2025)