Christiane Lemke

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #27,987 of 35,345 by trust here, #20,836 by citations
• Management Science and Operations Research — 15 citations into it; #7,820 of 11,946 by trust here, #8,062 by citations
• Evaluation & Benchmarks — 8 citations into it
• Economics and Econometrics — 7 citations into it
• Statistics and Probability — 5 citations into it; #9,094 of 12,932 by trust here, #8,279 by citations

Whom Christiane Lemke trusts overall

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

1. Ricardo Bastos Cavalcante Prudêncio
2. Spyros Makridakis
3. Pavel Brazdil
4. James W. Taylor
5. Rob J Hyndman
6. Teresa B Ludermir
7. Thomas G. Dietterich
8. Vassilios Assimakopoulos
9. Marco Aiolfi
10. Victor Richmond R. Jose

Who trusts Christiane Lemke overall

1. Mirko Kück
2. Sven F. Crone
3. Manasi Vartak
4. Michael J. Freitag
5. Quanming Yao
6. Han-Jia Ye
7. Wei-Lun Chao
8. Arvind Thiagarajan
9. Manuel Martin Salvador
10. Marcin Budka

Papers from Christiane Lemke's perspective

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

1. Bagging Predictors
2. Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II
5. Neural Networks for Pattern Recognition
6. The M3-Competition: results, conclusions and implications
7. Exponential smoothing: The state of the art
8. Exponential smoothing with a damped multiplicative trend
9. ImageNet classification with deep convolutional neural networks
10. Multitask Learning

Their papers

• Metalearning: a survey of trends and technologies (2013) — 377 citations
• Meta-learning for time series forecasting and forecast combination (2010) — 261 citations