Vadim Borisov

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Statistical Disclosure Control

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Vadim Borisov, Richard H. Schreiber
Open Artificial Knowledge. CoRR (2024)
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)
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)
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Language Models are Realistic Tabular Data Generators. ICLR (2023)
Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR (2022)
Michael Gröger, Vadim Borisov, Gjergji Kasneci
BoxShrink: From Bounding Boxes to Segmentation Masks. MILLanD@MICCAI (2022)
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Language Models are Realistic Tabular Data Generators. CoRR (2022)
Vadim Borisov, Gjergji Kasneci
Relational Local Explanations. CoRR (2022)
Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML (2022)
Michael Gröger, Vadim Borisov, Gjergji Kasneci
BoxShrink: From Bounding Boxes to Segmentation Masks. CoRR (2022)
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
Deep Neural Networks and Tabular Data: A Survey. 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)
Vadim Borisov, Victor Luferov
Neuro-Fuzzy Cognitive Temporal Models For Predicting Multidimensional Time Series With Fuzzy Trends. Computación y Sistemas 24 (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)
Vadim Borisov, Dmitry Kotov, Alexander Molyavko
Intelligent Information Search Method Based on a Compositional Ontological Approach. RCAI (2020)
Vadim Borisov, Johannes Haug, Gjergji Kasneci
CancelOut: A Layer for Feature Selection in Deep Neural Networks. ICANN (2) (2019)
Vadim Borisov, Jürgen Scheible
Lithography Hotspots Detection Using Deep Learning. SMACD (2018)
Vadim Borisov, Kerstin Langner, Jürgen Scheible, Benjamin Prautsch
A novel approach for automatic common-centroid pattern generation. SMACD (2017)
Vadim Borisov
Development of parameterized cell using Cadence Virtuoso. EWDTS (2013)