Heikki Mannila
Artificial Intelligence · 1996–2010
A researcher in the Science corpus: 8 papers; trusts 26 researchers and is trusted by 105 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #15,475 of 35,345 by trust here, #21,878 by citations
- Statistics and Probability — 19 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Signal Processing — 9 citations into it; #3,048 of 7,572 by trust here, #3,198 by citations
- Algorithms & Complexity — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it; #3,981 of 21,575 by trust here, #8,722 by citations
- Information Systems — 6 citations into it; #604 of 8,771 by trust here, #698 by citations
- Representation & Self-Supervised Learning — 6 citations into it
Whom Heikki Mannila trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Sam T. Roweis
- J. Ross Quinlan
- Padhraic Smyth
- Sanjoy Dasgupta
- Dimitris Achlioptas
- Pedro M. Domingos
- David J. Hand
- Thomas G. Dietterich
- R. Fisher
Who trusts Heikki Mannila overall
- Mohammed J. Zaki
- Christian Borgelt
- Ping Li
- Arjun Nitin Bhagoji
- J. Kolter
- Erik Cambria
- Wil M.P. van der Aalst
- Pang-Ning Tan
- Siegfried Nijssen
- Wil van der Aalst
Papers from Heikki Mannila's perspective
Ordered by how strongly the researchers Heikki Mannila 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Networks for Pattern Recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Random projection in dimensionality reduction: applications to image and text data (2001) — 1,581 citations
- The Discrete Basis Problem (2006) — 329 citations
- Algorithms and Applications (2010) — 385 citations
- Biogeography of European land mammals shows environmentally distinct and spatially coherent clusters (2007) — 119 citations
- Clustering aggregation (2005) — 1,050 citations
- Principles of Data Mining (2001) — 4,367 citations
- Distance measures for point sets and their computation (1997)
- Fast Discovery of Association Rules (1996)