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ORCIDVadim Borisov
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2020 – today
- 2024
[j5]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)- [i9]Vadim Borisov, Richard H. Schreiber:
Open Artificial Knowledge. CoRR abs/2407.14371 (2024) - [i8]Swagatam Haldar, Christoph Stein-Thoeringer, Vadim Borisov:
Interpreting Microbiome Relative Abundance Data Using Symbolic Regression. CoRR abs/2410.16109 (2024) - 2023
- [b1]Vadim Borisov:
Deep Neural Networks and Tabular Data: Inference, Generation, and Explainability. University of Tübingen, Germany, 2023 - [j4]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) - [c10]Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Language Models are Realistic Tabular Data Generators. ICLR 2023 - 2022
- [c9]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML 2022: 18770-18795 - [c8]Michael Gröger, Vadim Borisov, Gjergji Kasneci:
BoxShrink: From Bounding Boxes to Segmentation Masks. MILLanD@MICCAI 2022: 65-75 - [i7]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR abs/2202.00449 (2022) - [i6]Michael Gröger, Vadim Borisov, Gjergji Kasneci:
BoxShrink: From Bounding Boxes to Segmentation Masks. CoRR abs/2208.03142 (2022) - [i5]Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Language Models are Realistic Tabular Data Generators. CoRR abs/2210.06280 (2022) - [i4]Vadim Borisov, Gjergji Kasneci:
Relational Local Explanations. CoRR abs/2212.12374 (2022) - 2021
- [i3]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) - [i2]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
- [j3]Vadim Borisov, Victor Luferov:
Neuro-Fuzzy Cognitive Temporal Models For Predicting Multidimensional Time Series With Fuzzy Trends. Computación y Sistemas 24(3) (2020) - [c7]Vadim Borisov, Dmitry Kotov, Alexander Molyavko:
Intelligent Information Search Method Based on a Compositional Ontological Approach. RCAI 2020: 371-381 - [i1]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
- [j2]A. V. Bobryakov, Vadim Borisov, A. I. Gavrilov, E. A. Tikhonova:
Compositional fuzzy modeling of energy- and resource saving in socio-technical systems. EAI Endorsed Trans. Energy Web 6(21): e9 (2019) - [c6]Vadim Borisov, Johannes Haug, Gjergji Kasneci:
CancelOut: A Layer for Feature Selection in Deep Neural Networks. ICANN (2) 2019: 72-83 - 2018
- [j1]A. V. Bobryakov, Vadim Borisov, Yaroslav Fedulov:
Education Quality Evaluation of Electric Power Engineering specialties Students in Technical University of Russia with the Use of Internet Technologies. EAI Endorsed Trans. Energy Web 5(19): e5 (2018) - [c5]Vadim Borisov, Jürgen Scheible:
Lithography Hotspots Detection Using Deep Learning. SMACD 2018: 145-148 - 2017
- [c4]Vadim Borisov, Alexander S. Fedulov, Yaroslav Fedulov:
"Compatible" Fuzzy Cognitive Maps for Direct and Inverse Inference. CompSysTech 2017: 20-27 - [c3]Vadim Borisov, Kerstin Langner, Jürgen Scheible, Benjamin Prautsch:
A novel approach for automatic common-centroid pattern generation. SMACD 2017: 1-4 - 2015
- [p1]Sergey N. Andreev, Vadim Borisov:
Linguistic Analysis Based on Fuzzy Similarity Models. Sequences in Language and Text 2015: 7-34 - 2013
- [c2]Vadim Borisov:
Development of parameterized cell using Cadence Virtuoso. EWDTS 2013: 1-2
2000 – 2009
- 2004
- [c1]Vadim Borisov, Alexander S. Fedulov:
Generalized Rule-Based Fuzzy Cognitive Maps: Structure and Dynamics Model. ICONIP 2004: 918-922
Coauthor Index
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