Dariusz W. Brzezinski

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #11,380 of 35,345 by trust here, #19,439 by citations
• Statistical and Nonlinear Physics — 16 citations into it
• Information Systems — 14 citations into it
• Computer Networks and Communications — 10 citations into it; #2,369 of 9,886 by trust here, #5,733 by citations
• Signal Processing — 10 citations into it
• Management Science and Operations Research — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Dariusz W. Brzezinski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ludmila I. Kuncheva
2. Albert Bifet
3. João Gama
4. Nikunj C. Oza
5. Jaka Demsar
6. J. Kolter
7. G. Holmes
8. Geoff Hulten
9. W. Street
10. Ryan Elwell

Who trusts Dariusz W. Brzezinski overall

1. Tyler L. Hayes
2. Alexander Rainer Tassilo Gepperth
3. Osamah A. Mahdi
4. Gregory Ditzler
5. Bartosz Krawczyk
6. Christopher Kanan
7. Barbara Hammer
8. Eric Pardede
9. Geoffrey I. Webb
10. Manuel Roveri

Papers from Dariusz W. Brzezinski's perspective

Ordered by how strongly the researchers Dariusz W. Brzezinski trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Mining high-speed data streams
5. Attention is All you Need (Neural Information Processing Systems)
6. Mining time-changing data streams
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Bagging Predictors
10. Long Short-Term Memory

Their papers

• Encyclopedia of Machine Learning and Data Mining (2017) — 452 citations
• Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm (2014) — 440 citations
• Open challenges for data stream mining research (2014) — 310 citations