Krzysztof Czarnecki
Artificial Intelligence · 2000–2020
A researcher in the Science corpus: 21 papers; trusts 383 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #6,029 of 35,345 by trust here, #9,465 by citations
- Computer Vision and Pattern Recognition — 75 citations into it; #12,731 of 21,575 by trust here, #17,258 by citations
- Information Systems — 44 citations into it; #880 of 8,771 by trust here, #1,964 by citations
- Software — 40 citations into it; #203 of 1,227 by trust here, #308 by citations
- Evaluation & Benchmarks — 30 citations into it; #1,852 of 3,147 by trust here, #2,799 by citations
- Reinforcement Learning — 18 citations into it
- Safety, Robustness & Interpretability — 18 citations into it
- Aerospace Engineering — 15 citations into it; #5,090 of 6,421 by trust here, #5,612 by citations
Whom Krzysztof Czarnecki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Don S. Batory
- Richard S. Sutton
- Jack Greenfield
- Simon Helsen
- Ulrich W. Eisenecker
- Volodymyr Mnih
- Geoffrey E. Hinton
- Arie van Deursen
- Alex Krizhevsky
- Kaiming He
Who trusts Krzysztof Czarnecki overall
- Sven Apel
- Christian Kästner
- Simon Helsen
- Alberto Manuel Rodrigues da Silva
- Thomas Thüm
- Don S. Batory
- Pierre-Yves Schobbens
- Ulrich W. Eisenecker
- Patrick Heymans
- Michal Antkiewicz
Papers from Krzysztof Czarnecki's perspective
Ordered by how strongly the researchers Krzysztof Czarnecki trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Urban Driving with Multi-Objective Deep Reinforcement Learning (2018) — 86 citations
- Generative programming [Book Review] (2001) — 580 citations
- Canadian Adverse Driving Conditions dataset (2020) — 305 citations
- Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception (2019) — 121 citations
- ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks (2019) — 49 citations
- Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 (2018) — 75 citations
- Unlimited Road-scene Synthetic Annotation (URSA) Dataset (2018) — 23 citations
- A survey of variability modeling in industrial practice (2013) — 433 citations
- Cool features and tough decisions: a comparison of variability modeling approaches (2012) — 365 citations
- Reverse engineering feature models (2011) — 344 citations
- Bidirectional Transformations: A Cross-Discipline Perspective (2009) — 313 citations
- SAT-based analysis of feature models is easy (2009) — 340 citations
- Feature Diagrams and Logics: There and Back Again (2007) — 375 citations
- Verifying feature-based model templates against well-formedness OCL constraints (2006) — 307 citations
- Feature-based survey of model transformation approaches (2006) — 1,204 citations
- Staged configuration through specialization and multilevel configuration of feature models (2005) — 529 citations
- Mapping features to models: a template approach based on superimposed variants (2005) — 650 citations
- Formalizing cardinality-based feature models and their specialization (2005) — 707 citations
- Staged Configuration Using Feature Models (2004) — 546 citations
- Classification of Model Transformation Approaches (2003) — 986 citations