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Ting Liu
- ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
- ESANN 2017 - Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification [Details]
- ESANN 2024 - Few-shot similarity learning for motion classification via electromyography [Details]
- ESANN 2025 - Linear Domain Adaptation for Robustness to Electrode Shifts [Details]
- ESANN 2024 - CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search [Details]
- ESANN 2014 - Meta Online Learning: Experiments on a Unit Commitment Problem [Details]
- ESANN 2022 - Filtering participants improves generalization in competitions and benchmarks [Details]
- ESANN 2005 - Computational models of intracytoplasmic sperm injection prognosis [Details]
- ESANN 2017 - Myoelectrical signal classification based on S transform and two-directional 2DPCA [Details]
- ESANN 2024 - Noise Robust One-Class Intrusion Detection on Dynamic Graphs [Details]
- ESANN 2015 - Learning Recurrent Dynamics using Differential Evolution [Details]
- ESANN 2015 - Robust Visual Terrain Classification with Recurrent Neural Networks [Details]
- ESANN 2020 - Cross-Encoded Meta Embedding towards Transfer Learning [Details]
- ESANN 2019 - Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans [Details]
- ESANN 2006 - Source separation with priors on the power spectrum of the sources [Details]
- ESANN 1993 - A modified trajectory reversing method for the stability analysis of neural network [Details]
- ESANN 1994 - Stability analysis of diagonal recurrent neural networks [Details]
- ESANN 2016 - Memory management for data streams subject to concept drift [Details]
- ESANN 2018 - Bidirectional deep-readout echo state networks [Details]
- ESANN 2001 - Prediction of foreign exchange rates by neural network and fuzzy system based techniques [Details]
- ESANN 2000 - Financial predictions based on bootstrap-neural networks [Details]
- ESANN 2026 - Low-Rank Lens for Scalable LLMs Interpretability [Details]
- ESANN 2021 - Continual Learning at the Edge: Real-Time Training on Smartphone Devices [Details]
- ESANN 2021 - Continual Learning with Echo State Networks [Details]
- ESANN 2022 - Continual Learning for Human State Monitoring [Details]
- ESANN 2024 - Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites [Details]
- ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
- ESANN 2024 - Stable Diffusion Dataset Generation for Downstream Classification Tasks [Details]
- ESANN 2018 - Machine learning and data analysis in astroinformatics [Details]
- ESANN 2018 - stellar formation rates in galaxies using machine learning models [Details]
- ESANN 2020 - Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition [Details]
- ESANN 2021 - Lifelong Learning from Event-based Data [Details]
- ESANN 2001 - A local search method for pattern classification [Details]
- ESANN 2016 - Study on the loss of information caused by the "positivation" of graph kernels for 3D shapes [Details]
- ESANN 2019 - L1-norm double backpropagation adversarial defense [Details]
- ESANN 2019 - TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spaces [Details]
- ESANN 2016 - On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet Allocation [Details]
- ESANN 2026 - Scaling up graph-based classifiers with a divide and conquer approach [Details]
- ESANN 2021 - Towards Robust Auxiliary Tasks for Language Adaptation [Details]
- ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
- ESANN 2025 - Hierarchical Residuals Exploit Brain-Inspired Compositionality [Details]
- ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]