Gjergji Kasneci
Orcid: 0000-0002-3123-7268Affiliations:
- Technical University of Munich, Germany
- University of Tübingen, Germany (former)
- Hasso Plattner Institute, Potsdam, Germany (former)
- Microsoft Research (former)
- Max-Planck Institute for Informatics, Saarbrücken, Germany (former)
According to our database1,
Gjergji Kasneci
authored at least 119 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
CoRR, 2024
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers.
CoRR, 2024
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice.
CoRR, 2024
GermanPartiesQA: Benchmarking Commercial Large Language Models for Political Bias and Sycophancy.
CoRR, 2024
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers.
CoRR, 2024
CoRR, 2024
User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT.
CoRR, 2024
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education.
CoRR, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 17th International Natural Language Generation Conference, 2024
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Int. J. Data Sci. Anal., June, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 24th International Conference on Digital Signal Processing, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring System.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
2021
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines.
CoRR, 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 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.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
WIREs Data Mining Knowl. Discov., 2020
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery.
CoRR, 2018
2017
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection.
CoRR, 2017
Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth.
Comput. Hum. Behav., 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
2016
J. Web Semant., 2016
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015
2014
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014
The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes.
Proceedings of the Eye Tracking Research and Applications, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the Business Process Management - 12th International Conference, 2014
Proceedings of the HEALTHINF 2014, 2014
2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Proceedings of the Web Science 2012, 2012
Proceedings of the Current Trends in Web Engineering, 2012
Proceedings of the 2012 Symposium on Eye-Tracking Research and Applications, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011
2010
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
Commun. ACM, 2009
Proceedings of the 18th International Conference on World Wide Web, 2009
Proceedings of the 25th International Conference on Data Engineering, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
Proceedings of the 24th International Conference on Data Engineering, 2008
2007
Proceedings of the 16th International Conference on World Wide Web, 2007
Proceedings of the 16th International Conference on World Wide Web, 2007
Proceedings of the Twenty-Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2007
Proceedings of the Datenbanksysteme in Business, 2007