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ORCIDGjergji Kasneci
Person information
- affiliation: Technical University of Munich, Germany
- affiliation (former): University of Tübingen, Germany
- affiliation (former): Hasso Plattner Institute, Potsdam, Germany
- affiliation (former): Microsoft Research
- affiliation (former): Max-Planck Institute for Informatics, Saarbrücken, Germany
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2020 – today
- 2024
[j11]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): 2104-2122 (2024)- [j10]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): 7499-7519 (2024) - [c68]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: 21312-21321 - [c67]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: 248-264 - [c66]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: 9304-9314 - [c65]Mahdi Dhaini, Ege Erdogan, Smarth Bakshi, Gjergji Kasneci:
Explainability Meets Text Summarization: A Survey. INLG 2024: 631-645 - [c64]Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. KDD 2024: 2420-2431 - [i57]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 abs/2401.00832 (2024) - [i56]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 abs/2402.02136 (2024) - [i55]Shuo Yang, Gjergji Kasneci:
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. CoRR abs/2402.18284 (2024) - [i54]Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci:
Towards Non-Adversarial Algorithmic Recourse. CoRR abs/2403.10330 (2024) - [i53]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 abs/2404.15435 (2024) - [i52]Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci:
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers. CoRR abs/2405.13536 (2024) - [i51]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 abs/2406.11391 (2024) - [i50]Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci:
GermanPartiesQA: Benchmarking Commercial Large Language Models for Political Bias and Sycophancy. CoRR abs/2407.18008 (2024) - [i49]Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens:
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. CoRR abs/2408.05977 (2024) - [i48]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. CoRR abs/2408.14126 (2024) - [i47]Alina Fastowski, Gjergji Kasneci:
Understanding Knowledge Drift in LLMs through Misinformation. CoRR abs/2409.07085 (2024) - 2023
- [j9]Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci:
DeepTLF: robust deep neural networks for heterogeneous tabular data. Int. J. Data Sci. Anal. 16(1): 85-100 (2023) - [c63]Artjom Zern, Klaus Broelemann, Gjergji Kasneci:
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. AAAI 2023: 11164-11173 - [c62]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: 565-576 - [c61]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Causal Fairness-Guided Dataset Reweighting using Neural Networks. IEEE Big Data 2023: 1386-1394 - [c60]Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation for Regression via Disentanglement in Latent Space. ICDM (Workshops) 2023: 976-984 - [c59]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: 1-5 - [c58]Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Language Models are Realistic Tabular Data Generators. ICLR 2023 - [c57]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 - [c56]Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci:
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. ICLR 2023 - [c55]Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Membership Inference Privacy. NeurIPS 2023 - [c54]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
When are post-hoc conceptual explanations identifiable? UAI 2023: 1207-1218 - [i46]Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR abs/2303.08081 (2023) - [i45]Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Membership Inference Privacy. CoRR abs/2306.07273 (2023) - [i44]Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. CoRR abs/2307.13390 (2023) - [i43]Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. CoRR abs/2308.02353 (2023) - [i42]Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation for Regression via Disentanglement in Latent Space. CoRR abs/2311.08228 (2023) - [i41]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Causal Fairness-Guided Dataset Reweighting using Neural Networks. CoRR abs/2311.10512 (2023) - [i40]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 abs/2311.12684 (2023) - 2022
- [c53]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: 107-118 - [c52]Hamed Jalali, Gjergji Kasneci:
Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models. BigComp 2022: 23-26 - [c51]Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci:
Change Detection for Local Explainability in Evolving Data Streams. CIKM 2022: 706-716 - [c50]Efe Bozkir, Gjergji Kasneci, Sonja Utz, Enkelejda Kasneci:
Regressive Saccadic Eye Movements on Fake News. ETRA 2022: 7:1-7:7 - [c49]Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Dynamic Model Tree for Interpretable Data Stream Learning. ICDE 2022: 2562-2574 - [c48]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML 2022: 18770-18795 - [c47]Michael Gröger, Vadim Borisov, Gjergji Kasneci:
BoxShrink: From Bounding Boxes to Segmentation Masks. MILLanD@MICCAI 2022: 65-75 - [i39]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR abs/2202.00449 (2022) - [i38]Hamed Jalali, Gjergji Kasneci:
Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes. CoRR abs/2202.03287 (2022) - [i37]Martin Pawelczyk, Teresa Datta, Johannes van den Heuvel, Gjergji Kasneci, Himabindu Lakkaraju:
Algorithmic Recourse in the Face of Noisy Human Responses. CoRR abs/2203.06768 (2022) - [i36]Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Dynamic Model Tree for Interpretable Data Stream Learning. CoRR abs/2203.16181 (2022) - [i35]Johannes Haug, Effi Tramountani, Gjergji Kasneci:
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams. CoRR abs/2204.13625 (2022) - [i34]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR abs/2206.13872 (2022) - [i33]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 abs/2207.01510 (2022) - [i32]Michael Gröger, Vadim Borisov, Gjergji Kasneci:
BoxShrink: From Bounding Boxes to Segmentation Masks. CoRR abs/2208.03142 (2022) - [i31]Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci:
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. CoRR abs/2208.14137 (2022) - [i30]Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci:
Change Detection for Local Explainability in Evolving Data Streams. CoRR abs/2209.02764 (2022) - [i29]Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Language Models are Realistic Tabular Data Generators. CoRR abs/2210.06280 (2022) - [i28]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 abs/2210.11584 (2022) - [i27]Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR abs/2210.12369 (2022) - [i26]Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci:
I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization. CoRR abs/2210.13954 (2022) - [i25]Martin Pawelczyk, Lea Tiyavorabun, Gjergji Kasneci:
Decomposing Counterfactual Explanations for Consequential Decision Making. CoRR abs/2211.02151 (2022) - [i24]Hamed Jalali, Gjergji Kasneci:
Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach. CoRR abs/2211.09940 (2022) - [i23]Vadim Borisov, Gjergji Kasneci:
Relational Local Explanations. CoRR abs/2212.12374 (2022) - 2021
- [c46]Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. IEEE BigData 2021: 768-778 - [c45]Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci:
SPARROW: Semantically Coherent Prototypes for Image Classification. BMVC 2021: 186 - [c44]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: 367-375 - [c43]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 - [i22]Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci:
On Baselines for Local Feature Attributions. CoRR abs/2101.00905 (2021) - [i21]Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Experts Selection using Graphical Models. CoRR abs/2102.01496 (2021) - [i20]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 abs/2102.02115 (2021) - [i19]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 abs/2108.00783 (2021) - [i18]Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci:
Deep Neural Networks and Tabular Data: A Survey. CoRR abs/2110.01889 (2021) - [i17]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 abs/2111.07379 (2021) - 2020
- [j8]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) - [c42]Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Training Decision Trees as Replacement for Convolution Layers. AAAI 2020: 3882-3889 - [c41]David Geisler, Nora Castner, Gjergji Kasneci, Enkelejda Kasneci:
A MinHash approach for fast scanpath classification. ETRA 2020: 4:1-4:9 - [c40]Hamed Jalali, Gjergji Kasneci:
Aggregating Dependent Gaussian Experts in Local Approximation. ICPR 2020: 9015-9022 - [c39]Johannes Haug, Gjergji Kasneci:
Learning Parameter Distributions to Detect Concept Drift in Data Streams. ICPR 2020: 9452-9459 - [c38]Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. KDD 2020: 1478-1502 - [c37]Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
On Counterfactual Explanations under Predictive Multiplicity. UAI 2020: 809-818 - [c36]Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Learning Model-Agnostic Counterfactual Explanations for Tabular Data. WWW 2020: 3126-3132 - [i16]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 abs/2001.09762 (2020) - [i15]Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. CoRR abs/2006.10398 (2020) - [i14]Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
On Counterfactual Explanations under Predictive Multiplicity. CoRR abs/2006.13132 (2020) - [i13]Hamed Jalali, Gjergji Kasneci:
Aggregating Dependent Gaussian Experts in Local Approximation. CoRR abs/2010.08873 (2020) - [i12]Johannes Haug, Gjergji Kasneci:
Learning Parameter Distributions to Detect Concept Drift in Data Streams. CoRR abs/2010.09388 (2020) - [i11]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 abs/2010.15996 (2020)
2010 – 2019
- 2019
- [c35]Vadim Borisov, Johannes Haug, Gjergji Kasneci:
CancelOut: A Layer for Feature Selection in Deep Neural Networks. ICANN (2) 2019: 72-83 - [c34]Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. IJCAI 2019: 2030-2037 - [i10]Wolfgang Fuhl, Thomas C. Kübler, Rene Alexander Lotz, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Validation loss for landmark detection. CoRR abs/1901.10143 (2019) - [i9]Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Training decision trees as replacement for convolution layers. CoRR abs/1905.10073 (2019) - [i8]Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Towards User Empowerment. CoRR abs/1910.09398 (2019) - 2018
- [i7]Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. CoRR abs/1801.00283 (2018) - [i6]Klaus Broelemann, Gjergji Kasneci:
Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. CoRR abs/1807.10680 (2018) - [i5]Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. CoRR abs/1809.09703 (2018) - 2017
- [j7]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: 450-455 (2017) - [c33]Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. ICDE 2017: 143-146 - [i4]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 abs/1711.00112 (2017) - 2016
- [j6]Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann:
CohEEL: Coherent and efficient named entity linking through random walks. J. Web Semant. 37-38: 75-89 (2016) - [c32]Gjergji Kasneci, Thomas Gottron:
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. CIKM 2016: 45-54 - [i3]Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Enkelejda Kasneci:
PupilNet: Convolutional Neural Networks for Robust Pupil Detection. CoRR abs/1601.04902 (2016) - 2015
- [c31]Maximilian Jenders, Thorben Lindhauer, Gjergji Kasneci, Ralf Krestel, Felix Naumann:
A Serendipity Model for News Recommendation. KI 2015: 111-123 - [c30]Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci:
Tweet-Recommender: Finding Relevant Tweets for News Articles. WWW (Companion Volume) 2015: 53-54 - 2014
- [c29]Enkelejda Kasneci, Gjergji Kasneci, Ulrich Schiefer, Wolfgang Rosenstiel:
Rule-based Classification of Visual Field Defects. HEALTHINF 2014: 34-42 - [c28]Andreas Rogge-Solti, Gjergji Kasneci:
Temporal Anomaly Detection in Business Processes. BPM 2014: 234-249 - [c27]Arvid Heise, Gjergji Kasneci, Felix Naumann:
Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. CIKM 2014: 959-968 - [c26]Zhe Zuo, Gjergji Kasneci, Toni Grütze, Felix Naumann:
BEL: Bagging for Entity Linking. COLING 2014: 2075-2086 - [c25]Enkelejda Kasneci, Gjergji Kasneci, Thomas C. Kübler, Wolfgang Rosenstiel:
The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes. ETRA 2014: 323-326 - [c24]Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann:
Bootstrapping Wikipedia to answer ambiguous person name queries. ICDE Workshops 2014: 56-61 - [c23]Philipp Langer, Patrick Schulze, Stefan George, Matthias Kohnen, Tobias Metzke, Ziawasch Abedjan, Gjergji Kasneci:
Assigning global relevance scores to DBpedia facts. ICDE Workshops 2014: 248-253 - 2013
- [c22]Enkelejda Tafaj, Thomas C. Kübler, Gjergji Kasneci, Wolfgang Rosenstiel, Martin Bogdan:
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception. ICANN 2013: 442-450 - [c21]Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani:
SIGMa: simple greedy matching for aligning large knowledge bases. KDD 2013: 572-580 - [c20]Maximilian Jenders, Gjergji Kasneci, Felix Naumann:
Analyzing and predicting viral tweets. WWW (Companion Volume) 2013: 657-664 - [i2]Toni Grütze, Gjergji Kasneci, Zhe Zuo, Felix Naumann:
Bootstrapped Grouping of Results to Ambiguous Person Name Queries. CoRR abs/1312.1897 (2013) - 2012
- [j5]Ralitsa Angelova, Gjergji Kasneci, Gerhard Weikum:
Graffiti: graph-based classification in heterogeneous networks. World Wide Web 15(2): 139-170 (2012) - [c19]Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Michal Kosinski, Jurgen Van Gael:
Crowd IQ: aggregating opinions to boost performance. AAMAS 2012: 535-542 - [c18]Christoph Böhm, Gjergji Kasneci, Felix Naumann:
Latent topics in graph-structured data. CIKM 2012: 2663-2666 - [c17]