João Guerreiro
Marketing · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Marketing — 58 citations into it
- Sociology and Political Science — 55 citations into it
- Artificial Intelligence — 34 citations into it
- Organizational Behavior and Human Resource Management — 30 citations into it
- Information Systems and Management — 13 citations into it
- Social Psychology — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Cognitive Neuroscience — 9 citations into it
Whom João Guerreiro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erica Mina Okada
- Rik Pieters
- Ravi K. Dhar
- Paul D. Bolls
- Milica D. Milosavljević
- T. Griffiths
- M. Wedel
- David M. Blei
- Klaus Wertenbroch
- Mohamed M. Mostafa
Papers from João Guerreiro's perspective
Ordered by how strongly the researchers João Guerreiro trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy (2019) — 157 citations
- Artificial intelligence in business: State of the art and future research agenda (2020) — 426 citations
- 20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach (2020) — 519 citations
- Attention, emotions and cause-related marketing effectiveness (2015) — 96 citations