Gjergji Kasneci

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 96

Top Venues

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
Deep Neural Networks and Tabular Data: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Shuo Yang, Gjergji Kasneci
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. CoRR (2024)
Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. ACL (Findings) (2024)
Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. KDD (2024)
Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci
Towards Non-Adversarial Algorithmic Recourse. CoRR (2024)
Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. AAAI (2024)
Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education. CoRR (2024)
Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers. CoRR (2024)
Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci
GermanPartiesQA: Benchmarking Commercial Large Language Models for Political Bias and Sycophancy. CoRR (2024)
Anna Bodonhelyi, Efe Bozkir, Shuo Yang, Enkelejda Kasneci, Gjergji Kasneci
User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT. CoRR (2024)
Enkelejda Kasneci, Hong Gao, Süleyman Özdel, Virmarie Maquiling, Enkeleda Thaqi, Ka Hei Carrie Lau, Yao Rong, Gjergji Kasneci, Efe Bozkir
Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. CoRR (2024)
Shuo Yang, Gjergji Kasneci
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. LREC/COLING (2024)
Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. CoRR (2024)
Artjom Zern, Klaus Broelemann, Gjergji Kasneci
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. AAAI (2023)
Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. CoRR (2023)
Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. CoRR (2023)
Hannah Deininger, Rosa Lavelle-Hill, Cora Parrisius, Ines Pieronczyk, Leona Colling, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci
Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring System. AIED (2023)
Nikolaos Fotopoulos, Clara Riedmiller, Efe Bozkir, Panagiotis Tsinganos, Dimitris Ampeliotis, Gjergji Kasneci, Enkelejda Kasneci, Athanassios Skodras
Could Human Gaze Augment Detectors of Synthetic Images? DSP (2023)
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
Causal Fairness-Guided Dataset Reweighting using Neural Networks. CoRR (2023)
Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
Counterfactual Explanation for Regression via Disentanglement in Latent Space. ICDM (Workshops) (2023)
Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci
DeepTLF: robust deep neural networks for heterogeneous tabular data. Int. J. Data Sci. Anal. 16 (1) (2023)
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
Causal Fairness-Guided Dataset Reweighting using Neural Networks. BigData (2023)
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. ICLR (2023)
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Language Models are Realistic Tabular Data Generators. ICLR (2023)
Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
Counterfactual Explanation for Regression via Disentanglement in Latent Space. CoRR (2023)
Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR (2023)
Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. CoRR (2023)
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
When are post-hoc conceptual explanations identifiable? UAI (2023)
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Gaussian Membership Inference Privacy. CoRR (2023)
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Gaussian Membership Inference Privacy. NeurIPS (2023)
Martin Pawelczyk, Teresa Datta, Johannes van den Heuvel, Gjergji Kasneci, Himabindu Lakkaraju
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse. ICLR (2023)
Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. CoRR (2022)
Johannes Haug, Effi Tramountani, Gjergji Kasneci
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams. CoRR (2022)
Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
Change Detection for Local Explainability in Evolving Data Streams. CoRR (2022)
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR (2022)
Martin Pawelczyk, Teresa Datta, Johannes van den Heuvel, Gjergji Kasneci, Himabindu Lakkaraju
Algorithmic Recourse in the Face of Noisy Human Responses. CoRR (2022)
Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR (2022)
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. CoRR (2022)
Michael Gröger, Vadim Borisov, Gjergji Kasneci
BoxShrink: From Bounding Boxes to Segmentation Masks. MILLanD@MICCAI (2022)
Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
Change Detection for Local Explainability in Evolving Data Streams. CIKM (2022)
Martin Pawelczyk, Lea Tiyavorabun, Gjergji Kasneci
Decomposing Counterfactual Explanations for Consequential Decision Making. CoRR (2022)
Efe Bozkir, Gjergji Kasneci, Sonja Utz, Enkelejda Kasneci
Regressive Saccadic Eye Movements on Fake News. ETRA (2022)
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Language Models are Realistic Tabular Data Generators. CoRR (2022)
Hamed Jalali, Gjergji Kasneci
Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models. BigComp (2022)
Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
Towards Human-centered Explainable AI: User Studies for Model Explanations. CoRR (2022)
Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. AIES (2022)
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Dynamic Model Tree for Interpretable Data Stream Learning. ICDE (2022)
Vadim Borisov, Gjergji Kasneci
Relational Local Explanations. CoRR (2022)
Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR (2022)
Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML (2022)
Hamed Jalali, Gjergji Kasneci
Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach. CoRR (2022)
Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Dynamic Model Tree for Interpretable Data Stream Learning. CoRR (2022)
Michael Gröger, Vadim Borisov, Gjergji Kasneci
BoxShrink: From Bounding Boxes to Segmentation Masks. CoRR (2022)
Hamed Jalali, Gjergji Kasneci
Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes. CoRR (2022)
Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci
I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization. CoRR (2022)
Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
Gaussian Experts Selection using Graphical Models. CoRR (2021)
Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci
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 (2021)
Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. IEEE BigData (2021)
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
Deep Neural Networks and Tabular Data: A Survey. CoRR (2021)
Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci
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 (2021)
Vadim Borisov, Johannes Meier, Johannes van den Heuvel, Hamed Jalali, Gjergji Kasneci
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines. CoRR (2021)
Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. NeurIPS Datasets and Benchmarks (2021)
Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci
SPARROW: Semantically Coherent Prototypes for Image Classification. BMVC (2021)
Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci
On Baselines for Local Feature Attributions. CoRR (2021)
Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. CoRR (2021)
Hamed Jalali, Gjergji Kasneci
Aggregating Dependent Gaussian Experts in Local Approximation. ICPR (2020)
Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
Learning Model-Agnostic Counterfactual Explanations for Tabular Data. WWW (2020)
Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. CoRR (2020)
Hamed Jalali, Gjergji Kasneci
Aggregating Dependent Gaussian Experts in Local Approximation. CoRR (2020)
Johannes Haug, Gjergji Kasneci
Learning Parameter Distributions to Detect Concept Drift in Data Streams. CoRR (2020)
Johannes Haug, Gjergji Kasneci
Learning Parameter Distributions to Detect Concept Drift in Data Streams. ICPR (2020)
Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
On Counterfactual Explanations under Predictive Multiplicity. UAI (2020)
Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. KDD (2020)
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
Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
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
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR (2020)
David Geisler, Nora Castner, Gjergji Kasneci, Enkelejda Kasneci
A MinHash approach for fast scanpath classification. ETRA (2020)
Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
Training Decision Trees as Replacement for Convolution Layers. AAAI (2020)
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
Bias in Data-driven AI Systems - An Introductory Survey. CoRR (2020)
Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
On Counterfactual Explanations under Predictive Multiplicity. CoRR (2020)
Klaus Broelemann, Gjergji Kasneci
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. IJCAI (2019)
Vadim Borisov, Johannes Haug, Gjergji Kasneci
CancelOut: A Layer for Feature Selection in Deep Neural Networks. ICANN (2) (2019)
Wolfgang Fuhl, Thomas C. Kübler, Rene Alexander Lotz, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
Validation loss for landmark detection. CoRR (2019)
Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci
Towards User Empowerment. CoRR (2019)
Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
Training decision trees as replacement for convolution layers. CoRR (2019)
Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. CoRR (2018)
Klaus Broelemann, Gjergji Kasneci
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. CoRR (2018)
Klaus Broelemann, Gjergji Kasneci
Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. CoRR (2018)
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection. CoRR (2017)
Enkelejda Kasneci, Thomas C. Kübler, Klaus Broelemann, Gjergji Kasneci
Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. Comput. Hum. Behav. 68 (2017)
Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. ICDE (2017)
Gjergji Kasneci, Thomas Gottron
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. CIKM (2016)
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Enkelejda Kasneci
PupilNet: Convolutional Neural Networks for Robust Pupil Detection. CoRR (2016)
Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann
CohEEL: Coherent and efficient named entity linking through random walks. J. Web Semant. (2016)
Maximilian Jenders, T. Lindhauer, Gjergji Kasneci, Ralf Krestel, Felix Naumann
A Serendipity Model for News Recommendation. KI (2015)
Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci
Tweet-Recommender: Finding Relevant Tweets for News Articles. WWW (Companion Volume) (2015)
Arvid Heise, Gjergji Kasneci, Felix Naumann
Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. CIKM (2014)
Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann
Bootstrapping Wikipedia to answer ambiguous person name queries. ICDE Workshops (2014)
Enkelejda Kasneci, Gjergji Kasneci, Ulrich Schiefer, Wolfgang Rosenstiel
Rule-based Classification of Visual Field Defects. HEALTHINF (2014)
Andreas Rogge-Solti, Gjergji Kasneci
Temporal Anomaly Detection in Business Processes. BPM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gjergji Kasneci