C. Leckie
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 9 papers; trusts 58 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 118 citations into it; #12,450 of 35,345 by trust here, #9,968 by citations
- Computer Networks and Communications — 49 citations into it; #2,683 of 9,886 by trust here, #1,617 by citations
- Information Systems — 30 citations into it
- Signal Processing — 29 citations into it; #3,985 of 7,572 by trust here, #4,051 by citations
- Computer Vision and Pattern Recognition — 25 citations into it; #14,761 of 21,575 by trust here, #10,154 by citations
- Statistical Learning Theory — 24 citations into it
- Algorithms & Complexity — 21 citations into it
- Computational Theory and Mathematics — 16 citations into it
Whom C. Leckie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Frédéric Cuppens
- Yoshua Bengio
- Bernhard Schölkopf
- Vern Paxson
- Lawrence R. Rabiner
- Anukool Lakhina
- Yann LeCun
- Yuhai Wu
- Jelena Mirkovic
Who trusts C. Leckie overall
- Ismail Butun
- Xiaoyong Yuan
- Monowar Hussain Bhuyan
- Chenfeng Vincent Zhou
- Sarah Monazam Erfani
- Emmanouil Vasilomanolakis
- Yang Zhang
- Mohammad Abu Alsheikh
Papers from C. Leckie's perspective
Ordered by how strongly the researchers C. Leckie 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning (2016) — 1,120 citations
- MurTree: Optimal Decision Trees via Dynamic Programming and Search (2020) — 89 citations
- MurTree: Optimal Classification Trees via Dynamic Programming and Search (2020) — 19 citations
- Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining (2017) — 8 citations
- Robust Domain Generalisation by Enforcing Distribution Invariance (2016) — 63 citations
- Fuzzy c-Means Algorithms for Very Large Data (2012) — 479 citations
- A survey of coordinated attacks and collaborative intrusion detection (2010) — 407 citations
- Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks (2007) — 213 citations
- Survey of network-based defense mechanisms countering the DoS and DDoS problems (2007) — 887 citations