Vadim Borisov
Vadim Borisov
Postdoc at Tübingen University Hospital, Germany
Verified email at - Homepage
Cited by
Cited by
Deep neural networks and tabular data: A survey
V Borisov, T Leemann, K Seßler, J Haug, M Pawelczyk, G Kasneci
IEEE Transactions on Neural Networks and Learning Systems, 2022
Language models are realistic tabular data generators
V Borisov, K Seßler, T Leemann, M Pawelczyk, G Kasneci
International Conference on Learning Representations (ICLR), 2023
A consistent and efficient evaluation strategy for attribution methods
Y Rong, T Leemann, V Borisov, G Kasneci, E Kasneci
International Conference on Machine Learning (ICML), 2022
CancelOut: A Layer for Feature Selection in Deep Neural Networks
V Borisov, J Haug, G Kasneci
Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …, 2019
Lithography hotspots detection using deep learning
V Borisov, J Scheible
2018 15th international conference on synthesis, modeling, analysis and …, 2018
Robust cognitive load detection from wrist-band sensors
V Borisov, E Kasneci, G Kasneci
Computers in Human Behavior Reports 4, 100116, 2021
DeepTLF: Robust Deep Neural Networks for Heterogeneous Tabular Data
V Borisov, K Broelemann, E Kasneci, G Kasneci
International Journal of Data Science and Analytics, 2022
Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots
N Nikolaou, IP Waldmann, A Tsiaras, M Morvan, B Edwards, KH Yip, ...
RAS Techniques and Instruments 2 (1), 695-709, 2023
Evaluating feature attribution: An information-theoretic perspective
Y Rong, T Leemann, V Borisov, G Kasneci, E Kasneci
CoRR, 2022
Research on data augmentation for lithography hotspot detection using deep learning
V Borisov, J Scheible
34th European Mask and Lithography Conference 10775, 204-209, 2018
Development of parameterized cell using Cadence Virtuoso
V Borisov
East-West Design & Test Symposium (EWDTS 2013), 1-2, 2013
A novel approach for automatic common-centroid pattern generation
V Borisov, K Langner, J Scheible, B Prautsch
2017 14th International Conference on Synthesis, Modeling, Analysis and …, 2017
BoxShrink: From Bounding Boxes to Segmentation Masks
M Gröger, V Borisov, G Kasneci
Workshop on Medical Image Learning with Limited and Noisy Data, 65-75, 2022
A robust unsupervised ensemble of feature-based explanations using restricted boltzmann machines
V Borisov, J Meier, J Heuvel, H Jalali, G Kasneci
XAI4Debugging@NeurIPS2021, 2021
Deep Neural Networks and Tabular Data: Inference, Generation, and Explainability
V Borisov
Universität Tübingen, 2023
Relational Local Explanations
V Borisov, G Kasneci
arXiv preprint arXiv:2212.12374, 2022
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