Moncef Gabbouj

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 16 papers; trusts 239 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 88 citations into it; #13,603 of 21,575 by trust here, #16,787 by citations
Artificial Intelligence — 74 citations into it
Control and Systems Engineering — 40 citations into it; #6,029 of 8,257 by trust here, #1,769 by citations
Management Science and Operations Research — 38 citations into it; #4,541 of 11,946 by trust here, #5,316 by citations
Civil and Structural Engineering — 30 citations into it; #4,181 of 6,160 by trust here, #2,220 by citations
Finance — 28 citations into it; #7,026 of 10,518 by trust here, #8,598 by citations
Signal Processing — 28 citations into it; #2,317 of 7,572 by trust here, #2,221 by citations
Mechanics of Materials — 27 citations into it; #4,769 of 6,291 by trust here, #2,227 by citations

Whom Moncef Gabbouj trusts overall

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

Who trusts Moncef Gabbouj overall

Papers from Moncef Gabbouj's perspective

Ordered by how strongly the researchers Moncef Gabbouj 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
Long Short-Term Memory
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
ImageNet: A large-scale hierarchical image database
Attention is All you Need (Neural Information Processing Systems)
Learning Multiple Layers of Features from Tiny Images
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

Nonlinear filter design: methodologies and challenges (2001) — 22 citations
1D Convolutional Neural Networks and Applications: A Survey (2019) — 2,635 citations
Using deep learning to detect price change indications in financial markets (2017) — 145 citations
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks (2017) — 329 citations
Tensor representation in high-frequency financial data for price change prediction (2017) — 63 citations
Rate adaptation for adaptive HTTP streaming (2011) — 484 citations
Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision (2020) — 489 citations
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications (2020) — 1,195 citations
1-D Convolutional Neural Networks for Signal Processing Applications (2019) — 297 citations
Time-series classification using neural Bag-of-Features (2017) — 39 citations
Benchmark Dataset for Mid-Price Prediction of Limit Order Book data (2017) — 31 citations
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks (2017) — 1,158 citations
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks (2016) — 1,648 citations
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks (2016) — 1,154 citations
Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform (2015) — 365 citations
A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals (2009) — 485 citations