Gjergji Kasneci

193 papers A* 27A 16B 10C 2Misc 2Journal 102Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysing the Safety Pitfalls of Steering Vectors. CoRR Yuxiao Li, Alina Fastowski, Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci
2026	J	`jnl`	COunterfactual Reasoning for Temporal EXplanations: Plausible and Robust Explanations for EEG-Based Seizure Detection. Trans. Mach. Learn. Res. Martina Zannotti, Bardh Prenkaj, Marco Piangerelli, Flavio Corradini, Gjergji Kasneci
2026	J	`jnl`	Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs. CoRR Chenchen Yuan, Bolei Ma, Zheyu Zhang, Bardh Prenkaj, Frauke Kreuter, Gjergji Kasneci
2026	J	`jnl`	Reinforcement Unlearning via Group Relative Policy Optimization. CoRR Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci
2025	—	`conf`	ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. CHIL Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci, Hendrik Lensch
2025	J	`jnl`	Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges. CoRR Mahdi Dhaini, Tobias Müller, Roksoliana Rabets, Gjergji Kasneci
2025	J	`jnl`	Assessing the Real-World Utility of Explainable AI for Arousal Diagnostics: An Application-Grounded User Study. CoRR Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Gjergji Kasneci, Hendrik Lensch
2025	J	`jnl`	Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers. Trans. Mach. Learn. Res. Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci
2025	—	`conf`	CURE: Controlled Unlearning for Robust Embeddings - Mitigating Conceptual Shortcuts in Pre-Trained Language Models. EMNLP (Findings) Aysenur Kocak, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	CURE: Controlled Unlearning for Robust Embeddings - Mitigating Conceptual Shortcuts in Pre-Trained Language Models. CoRR Aysenur Kocak, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	—	`conf`	Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study. ICANN (3) Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci
2025	J	`jnl`	Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study. CoRR Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci
2025	J	`jnl`	Can You Tell Real from Fake Face Images? Perception of Computer-Generated Faces by Humans. ACM Trans. Appl. Percept. Efe Bozkir, Clara Riedmiller, Athanassios N. Skodras, Gjergji Kasneci, Enkelejda Kasneci
2025	A*	`conf`	Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs. EMNLP Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs. CoRR Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	Emergent Abilities in Large Language Models: A Survey. CoRR Leonardo Berti, Flavio Giorgi, Gjergji Kasneci
2025	J	`jnl`	Europe's AI Imperative - A Pragmatic Blueprint for Global Tech Leadership. CoRR Gjergji Kasneci, Urs Gasser, Thomas F. Hofmann, Gerhard Kramer, Gerhard Müller, Claudia Peus, Helmut Schönenberger, Enkelejda Kasneci
2025	—	`conf`	EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) Mahdi Dhaini, Kafaite Zahra Hussain, Efstratios Zaradoukas, Gjergji Kasneci
2025	J	`jnl`	EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models. CoRR Mahdi Dhaini, Kafaite Zahra Hussain, Efstratios Zaradoukas, Gjergji Kasneci
2025	J	`jnl`	Explanation Shift: How Did the Distribution Shift Impact the Model? Trans. Mach. Learn. Res. Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2025	—	`conf`	From Confidence to Collapse in LLM Factual Robustness. EMNLP (Findings) Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	From Confidence to Collapse in LLM Factual Robustness. CoRR Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci
2025	—	`conf`	Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods. FAccT Mahdi Dhaini, Ege Erdogan, Nils Feldhus, Gjergji Kasneci
2025	J	`jnl`	Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods. CoRR Mahdi Dhaini, Ege Erdogan, Nils Feldhus, Gjergji Kasneci
2025	A*	`conf`	Graph Inverse Style Transfer for Counterfactual Explainability. ICML Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci
2025	J	`jnl`	Graph Style Transfer for Counterfactual Explainability. CoRR Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci
2025	A*	`conf`	Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers. ICML Roman Abramov, Felix Steinbauer, Gjergji Kasneci
2025	J	`jnl`	Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers. CoRR Roman Abramov, Felix Steinbauer, Gjergji Kasneci
2025	J	`jnl`	Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs. CoRR Alina Fastowski, Bardh Prenkaj, Yuxiao Li, Gjergji Kasneci
2025	J	`jnl`	Multilabel Classification for Entry-Dependent Expert Selection in Distributed Gaussian Processes. Entropy Hamed Jalali, Gjergji Kasneci
2025	—	`conf`	Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models. EMNLP (Findings) Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models. CoRR Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	—	`conf`	Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents. ICML (Position Papers) Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci
2025	J	`jnl`	Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents. CoRR Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci
2025	—	`conf`	Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models. ACL (Findings) Chenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models. CoRR Chenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	A*	`conf`	RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. AAAI Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	A*	`conf`	SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification. ICML Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	J	`jnl`	SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification. CoRR Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2025	—	`conf`	Structured Universal Adversarial Attacks on Object Detection for Video Sequences. DAGM GCPR Sven Jacob, Weijia Shao, Gjergji Kasneci
2025	J	`jnl`	Structured Universal Adversarial Attacks on Object Detection for Video Sequences. CoRR Sven Jacob, Weijia Shao, Gjergji Kasneci
2025	J	`jnl`	Sycophancy Claims about Language Models: The Missing Human-in-the-Loop. CoRR Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci
2025	J	`jnl`	TLOB: A Novel Transformer Model with Dual Attention for Stock Price Trend Prediction with Limit Order Book Data. CoRR Leonardo Berti, Gjergji Kasneci
2025	J	`jnl`	When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing. CoRR Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes, Gjergji Kasneci
2025	A	`conf`	Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement. LAK Hannah Deininger, Cora Parrisius, Rosa Lavelle-Hill, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci
2025	J	`jnl`	Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency. CoRR Jan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid, Gjergji Kasneci
2024	J	`jnl`	ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. CoRR Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci
2024	B	`conf`	Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. IEEE Big Data Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2024	J	`jnl`	Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers. CoRR Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci
2024	J	`jnl`	Crowd IQ - Aggregating Opinions to Boost Performance. CoRR Michal Kosinski, Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Jurgen Van Gael
2024	J	`jnl`	Deep Neural Networks and Tabular Data: A Survey. IEEE Trans. Neural Networks Learn. Syst. Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
2024	A	`conf`	Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. ECAI Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2024	J	`jnl`	Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. CoRR Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2024	J	`jnl`	Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers. CoRR Gjergji Kasneci, Enkelejda Kasneci
2024	B	`conf`	Explainability Meets Text Summarization: A Survey. INLG Mahdi Dhaini, Ege Erdogan, Smarth Bakshi, Gjergji Kasneci
2024	J	`jnl`	GermanPartiesQA: Benchmarking Commercial Large Language Models for Political Bias and Sycophancy. CoRR Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci
2024	A*	`conf`	I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. AAAI Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci
2024	J	`jnl`	Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. CoRR Enkelejda Kasneci, Hong Gao, Süleyman Özdel, Virmarie Maquiling, Enkeleda Thaqi, Ka Hei Carrie Lau, Yao Rong, Gjergji Kasneci, Efe Bozkir
2024	—	`conf`	Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. LREC/COLING Shuo Yang, Gjergji Kasneci
2024	J	`jnl`	Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. CoRR Shuo Yang, Gjergji Kasneci
2024	—	`conf`	P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. ACL (Findings) Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci
2024	J	`jnl`	P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. CoRR Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci
2024	J	`jnl`	RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. CoRR Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
2024	J	`jnl`	Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education. CoRR Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel
2024	—	`conf`	The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. EMNLP (Findings) Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens
2024	J	`jnl`	The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. CoRR Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens
2024	J	`jnl`	Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. IEEE Trans. Pattern Anal. Mach. Intell. Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
2024	J	`jnl`	Towards Non-Adversarial Algorithmic Recourse. CoRR Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci
2024	—	`conf`	Towards Non-adversarial Algorithmic Recourse. xAI (3) Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci
2024	—	`conf`	Understanding Knowledge Drift in LLMs Through Misinformation. DELTA Alina Fastowski, Gjergji Kasneci
2024	J	`jnl`	Understanding Knowledge Drift in LLMs through Misinformation. CoRR Alina Fastowski, Gjergji Kasneci
2024	A*	`conf`	Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. KDD Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
2024	J	`jnl`	User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT. CoRR Anna Bodonhelyi, Efe Bozkir, Shuo Yang, Enkelejda Kasneci, Gjergji Kasneci
2023	—	`conf`	Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. PKDD/ECML Workshops (1) Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
2023	J	`jnl`	Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. CoRR Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
2023	J	`jnl`	Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. CoRR Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2023	A	`conf`	Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring System. AIED Hannah Deininger, Rosa Lavelle-Hill, Cora Parrisius, Ines Pieronczyk, Leona Colling, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci
2023	B	`conf`	Causal Fairness-Guided Dataset Reweighting using Neural Networks. IEEE Big Data Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2023	J	`jnl`	Causal Fairness-Guided Dataset Reweighting using Neural Networks. CoRR Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2023	—	`conf`	Could Human Gaze Augment Detectors of Synthetic Images? DSP Nikolaos Fotopoulos, Clara Riedmiller, Efe Bozkir, Panagiotis Tsinganos, Dimitris Ampeliotis, Gjergji Kasneci, Enkelejda Kasneci, Athanassios Skodras
2023	—	`conf`	Counterfactual Explanation for Regression via Disentanglement in Latent Space. ICDM (Workshops) Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023	J	`jnl`	Counterfactual Explanation for Regression via Disentanglement in Latent Space. CoRR Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023	J	`jnl`	Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. CoRR Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023	J	`jnl`	DeepTLF: robust deep neural networks for heterogeneous tabular data. Int. J. Data Sci. Anal. Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci
2023	J	`jnl`	Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2023	A*	`conf`	Gaussian Membership Inference Privacy. NeurIPS Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2023	J	`jnl`	Gaussian Membership Inference Privacy. CoRR Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2023	A*	`conf`	Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. AAAI Artjom Zern, Klaus Broelemann, Gjergji Kasneci
2023	A*	`conf`	Language Models are Realistic Tabular Data Generators. ICLR Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2023	A*	`conf`	On the Trade-Off between Actionable Explanations and the Right to be Forgotten. ICLR Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
2023	A*	`conf`	Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse. ICLR Martin Pawelczyk, Teresa Datta, Johannes van den Heuvel, Gjergji Kasneci, Himabindu Lakkaraju
2023	A	`conf`	When are post-hoc conceptual explanations identifiable? UAI Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
2022	A*	`conf`	A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
2022	—	`conf`	Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models. BigComp Hamed Jalali, Gjergji Kasneci
2022	J	`jnl`	Algorithmic Recourse in the Face of Noisy Human Responses. CoRR Martin Pawelczyk, Teresa Datta, Johannes van den Heuvel, Gjergji Kasneci, Himabindu Lakkaraju
2022	—	`conf`	BoxShrink: From Bounding Boxes to Segmentation Masks. MILLanD@MICCAI Michael Gröger, Vadim Borisov, Gjergji Kasneci
2022	J	`jnl`	BoxShrink: From Bounding Boxes to Segmentation Masks. CoRR Michael Gröger, Vadim Borisov, Gjergji Kasneci
2022	A	`conf`	Change Detection for Local Explainability in Evolving Data Streams. CIKM Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
2022	J	`jnl`	Change Detection for Local Explainability in Evolving Data Streams. CoRR Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
2022	J	`jnl`	Decomposing Counterfactual Explanations for Consequential Decision Making. CoRR Martin Pawelczyk, Lea Tiyavorabun, Gjergji Kasneci
2022	J	`jnl`	Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
2022	A*	`conf`	Dynamic Model Tree for Interpretable Data Stream Learning. ICDE Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2022	J	`jnl`	Dynamic Model Tree for Interpretable Data Stream Learning. CoRR Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2022	J	`jnl`	Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
2022	J	`jnl`	Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach. CoRR Hamed Jalali, Gjergji Kasneci
2022	J	`jnl`	Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2022	C	`conf`	Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. AIES Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda
2022	J	`jnl`	Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. CoRR Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda
2022	J	`jnl`	Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes. CoRR Hamed Jalali, Gjergji Kasneci
2022	J	`jnl`	I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization. CoRR Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci
2022	J	`jnl`	Language Models are Realistic Tabular Data Generators. CoRR Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2022	J	`jnl`	On the Trade-Off between Actionable Explanations and the Right to be Forgotten. CoRR Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
2022	B	`conf`	Regressive Saccadic Eye Movements on Fake News. ETRA Efe Bozkir, Gjergji Kasneci, Sonja Utz, Enkelejda Kasneci
2022	J	`jnl`	Relational Local Explanations. CoRR Vadim Borisov, Gjergji Kasneci
2022	J	`jnl`	Standardized Evaluation of Machine Learning Methods for Evolving Data Streams. CoRR Johannes Haug, Effi Tramountani, Gjergji Kasneci
2022	J	`jnl`	Towards Human-centered Explainable AI: User Studies for Model Explanations. CoRR Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
2021	J	`jnl`	A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines. CoRR Vadim Borisov, Johannes Meier, Johannes van den Heuvel, Hamed Jalali, Gjergji Kasneci
2021	—	`conf`	CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. NeurIPS Datasets and Benchmarks Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci
2021	J	`jnl`	CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. CoRR Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci
2021	J	`jnl`	Deep Neural Networks and Tabular Data: A Survey. CoRR Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
2021	J	`jnl`	Gaussian Experts Selection using Graphical Models. CoRR Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
2021	—	`conf`	Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. IEEE BigData Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
2021	J	`jnl`	On Baselines for Local Feature Attributions. CoRR Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci
2021	A	`conf`	SPARROW: Semantically Coherent Prototypes for Image Classification. BMVC Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci
2021	A*	`conf`	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. ISMAR Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci
2021	J	`jnl`	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. CoRR Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci
2020	B	`conf`	A MinHash approach for fast scanpath classification. ETRA David Geisler, Nora Castner, Gjergji Kasneci, Enkelejda Kasneci
2020	B	`conf`	Aggregating Dependent Gaussian Experts in Local Approximation. ICPR Hamed Jalali, Gjergji Kasneci
2020	J	`jnl`	Aggregating Dependent Gaussian Experts in Local Approximation. CoRR Hamed Jalali, Gjergji Kasneci
2020	J	`jnl`	Bias in Data-driven AI Systems - An Introductory Survey. CoRR 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, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2020	J	`jnl`	Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 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, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2020	A*	`conf`	Learning Model-Agnostic Counterfactual Explanations for Tabular Data. WWW Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	B	`conf`	Learning Parameter Distributions to Detect Concept Drift in Data Streams. ICPR Johannes Haug, Gjergji Kasneci
2020	J	`jnl`	Learning Parameter Distributions to Detect Concept Drift in Data Streams. CoRR Johannes Haug, Gjergji Kasneci
2020	J	`jnl`	Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR 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, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik
2020	A*	`conf`	Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. KDD Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	J	`jnl`	Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. CoRR Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	A	`conf`	On Counterfactual Explanations under Predictive Multiplicity. UAI Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	J	`jnl`	On Counterfactual Explanations under Predictive Multiplicity. CoRR Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	A*	`conf`	Training Decision Trees as Replacement for Convolution Layers. AAAI Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
2019	A*	`conf`	A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. IJCAI Klaus Broelemann, Gjergji Kasneci
2019	—	`conf`	CancelOut: A Layer for Feature Selection in Deep Neural Networks. ICANN (2) Vadim Borisov, Johannes Haug, Gjergji Kasneci
2019	J	`jnl`	Towards User Empowerment. CoRR Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2019	J	`jnl`	Training decision trees as replacement for convolution layers. CoRR Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
2019	J	`jnl`	Validation loss for landmark detection. CoRR Wolfgang Fuhl, Thomas C. Kübler, Rene Alexander Lotz, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
2018	J	`jnl`	A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. CoRR Klaus Broelemann, Gjergji Kasneci
2018	J	`jnl`	Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. CoRR Klaus Broelemann, Gjergji Kasneci
2018	J	`jnl`	Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. CoRR Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
2017	J	`jnl`	Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. Comput. Hum. Behav. Enkelejda Kasneci, Thomas C. Kübler, Klaus Broelemann, Gjergji Kasneci
2017	A*	`conf`	LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. ICDE Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
2017	J	`jnl`	PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection. CoRR Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
2016	J	`jnl`	CohEEL: Coherent and efficient named entity linking through random walks. J. Web Semant. Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann
2016	A	`conf`	LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. CIKM Gjergji Kasneci, Thomas Gottron
2016	J	`jnl`	PupilNet: Convolutional Neural Networks for Robust Pupil Detection. CoRR Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Enkelejda Kasneci
2015	Misc	`conf`	A Serendipity Model for News Recommendation. KI Maximilian Jenders, Thorben Lindhauer, Gjergji Kasneci, Ralf Krestel, Felix Naumann
2015	—	`conf`	Tweet-Recommender: Finding Relevant Tweets for News Articles. WWW (Companion Volume) Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci
2014	—	`conf`	Assigning global relevance scores to DBpedia facts. ICDE Workshops Philipp Langer, Patrick Schulze, Stefan George, Matthias Kohnen, Tobias Metzke, Ziawasch Abedjan, Gjergji Kasneci
2014	B	`conf`	BEL: Bagging for Entity Linking. COLING Zhe Zuo, Gjergji Kasneci, Toni Grütze, Felix Naumann
2014	—	`conf`	Bootstrapping Wikipedia to answer ambiguous person name queries. ICDE Workshops Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann
2014	A	`conf`	Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. CIKM Arvid Heise, Gjergji Kasneci, Felix Naumann
2014	—	`conf`	Rule-based Classification of Visual Field Defects. HEALTHINF Enkelejda Kasneci, Gjergji Kasneci, Ulrich Schiefer, Wolfgang Rosenstiel
2014	A	`conf`	Temporal Anomaly Detection in Business Processes. BPM Andreas Rogge-Solti, Gjergji Kasneci
2014	B	`conf`	The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes. ETRA Enkelejda Kasneci, Gjergji Kasneci, Thomas C. Kübler, Wolfgang Rosenstiel
2013	—	`conf`	Analyzing and predicting viral tweets. WWW (Companion Volume) Maximilian Jenders, Gjergji Kasneci, Felix Naumann
2013	J	`jnl`	Bootstrapped Grouping of Results to Ambiguous Person Name Queries. CoRR Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann
2013	C	`conf`	Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception. ICANN Enkelejda Tafaj, Thomas C. Kübler, Gjergji Kasneci, Wolfgang Rosenstiel, Martin Bogdan
2013	A*	`conf`	SIGMa: simple greedy matching for aligning large knowledge bases. KDD Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani
2012	B	`conf`	Bayesian online clustering of eye movement data. ETRA Enkelejda Tafaj, Gjergji Kasneci, Wolfgang Rosenstiel, Martin Bogdan
2012	A	`conf`	Crowd IQ: aggregating opinions to boost performance. AAMAS Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Michal Kosinski, Jurgen Van Gael
2012	—	`conf`	Crowd IQ: measuring the intelligence of crowdsourcing platforms. WebSci Michal Kosinski, Yoram Bachrach, Gjergji Kasneci, Jurgen Van Gael, Thore Graepel
2012	J	`jnl`	Graffiti: graph-based classification in heterogeneous networks. World Wide Web Ralitsa Angelova, Gjergji Kasneci, Gerhard Weikum
2012	A	`conf`	Latent topics in graph-structured data. CIKM Christoph Böhm, Gjergji Kasneci, Felix Naumann
2012	—	`conf`	Reasoning about Knowledge from the Web - (Extended Abstract). ICWE Workshops Gjergji Kasneci
2012	J	`jnl`	SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases CoRR Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani
2011	A	`conf`	Automated feature generation from structured knowledge. CIKM Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich
2011	A	`conf`	CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise. WSDM Gjergji Kasneci, Jurgen Van Gael, David H. Stern, Thore Graepel
2011	A	`conf`	DBrev: Dreaming of a Database Revolution. CIDR Gjergji Kasneci, Jurgen Van Gael, Thore Graepel
2010	—	`conf`	Active knowledge: dynamically enriching RDF knowledge bases by web services. SIGMOD Conference Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchanek, Thomas Neumann, Wenjun Yuan, Gerhard Weikum
2010	—	`conf`	Bayesian Knowledge Corroboration with Logical Rules and User Feedback. ECML/PKDD (2) Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel
2009	J	`jnl`	ANGIE: Active Knowledge for Interactive Exploration. Proc. VLDB Endow. Nicoleta Preda, Fabian M. Suchanek, Gjergji Kasneci, Thomas Neumann, Maya Ramanath, Gerhard Weikum
2009	J	`jnl`	Database and information-retrieval methods for knowledge discovery. Commun. ACM Gerhard Weikum, Gjergji Kasneci, Maya Ramanath, Fabian M. Suchanek
2009	A*	`conf`	Graffiti: node labeling in heterogeneous networks. WWW Ralitsa Angelova, Gjergji Kasneci, Fabian M. Suchanek, Gerhard Weikum
2009	A	`conf`	MING: mining informative entity relationship subgraphs. CIKM Gjergji Kasneci, Shady Elbassuoni, Gerhard Weikum
2009	A*	`conf`	STAR: Steiner-Tree Approximation in Relationship Graphs. ICDE Gjergji Kasneci, Maya Ramanath, Mauro Sozio, Fabian M. Suchanek, Gerhard Weikum
2009	—	`—`	Searching and ranking in entity-relationship graphs. Gjergji Kasneci
2008	A*	`conf`	NAGA: Searching and Ranking Knowledge. ICDE Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, Gerhard Weikum
2008	—	`conf`	NAGA: harvesting, searching and ranking knowledge. SIGMOD Conference Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
2008	J	`jnl`	The YAGO-NAGA approach to knowledge discovery. SIGMOD Rec. Gjergji Kasneci, Maya Ramanath, Fabian M. Suchanek, Gerhard Weikum
2008	J	`jnl`	YAGO: A Large Ontology from Wikipedia and WordNet. J. Web Semant. Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum
2007	A*	`conf`	How NAGA uncoils: searching with entities and relations. WWW Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath, Gerhard Weikum
2007	A*	`conf`	The complexity of reasoning about pattern-based XML schemas. PODS Gjergji Kasneci, Thomas Schwentick
2007	Misc	`conf`	YAWN: A Semantically Annotated Wikipedia XML Corpus. BTW Ralf Schenkel, Fabian M. Suchanek, Gjergji Kasneci
2007	A*	`conf`	Yago: a core of semantic knowledge. WWW Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum