Melike Bildirici
Economics and Econometrics · 2010–2020
A researcher in the Science corpus: 8 papers; trusts 46 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 158 citations into it; #2,367 of 23,481 by trust here, #4,570 by citations
- Renewable Energy, Sustainability and the Environment — 93 citations into it; #3,743 of 5,212 by trust here, #3,095 by citations
- Environmental Engineering — 37 citations into it; #414 of 5,479 by trust here, #2,178 by citations
- Pollution — 28 citations into it
- Finance — 25 citations into it; #8,576 of 10,518 by trust here, #10,047 by citations
- Sociology and Political Science — 10 citations into it
- Model Architectures — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Melike Bildirici trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael I. Jordan
- Robert F. Engle
- Paul J. Werbos
- Jeffrey L. Elman
- B. Hansen
- N. Apergis
- David E. Goldberg
- Felix Chan
- James E. Payne
- David E. Rumelhart
Who trusts Melike Bildirici overall
- Muhammad Shahbaz
- N. Apergis
- Anshul Jain
- Y. Bilan
- D. Danuletiu
- Avik Sinha
- Mucahit Aydin
- Satish Kumar
- T. Vasylieva
- Sakiru Adebola Solarin
Papers from Melike Bildirici's perspective
Ordered by how strongly the researchers Melike Bildirici trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- 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
- Economic growth and biomass energy. (2013) — 139 citations
- The relationship among oil, natural gas and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries (2014) — 194 citations
- Forecasting oil prices: Smooth transition and neural network augmented GARCH family models (2013) — 48 citations
- Nonlinear causality between oil and precious metals (2015) — 188 citations
- The impact of terrorism and FDI on environmental pollution: Evidence from Afghanistan, Iraq, Nigeria, Pakistan, Philippines, Syria, Somalia, Thailand and Yemen (2020) — 115 citations
- Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM (2020) — 69 citations
- Environmental pollution, hydropower energy consumption and economic growth: Evidence from G7 countries (2017) — 229 citations
- TAR-cointegration neural network model: An empirical analysis of exchange rates and stock returns (2010) — 28 citations