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Lars Frank Große
- ESANN 2009 - The Use of ANN for Turbo Engine Applications [Details]
- ESANN 2010 - Approximation of chemical reaction rates in turbulent combustion simulation [Details]
- ESANN 2025 - Expressivity vs. Generalization in Quantum Kernel Methods [Details]
- ESANN 2024 - Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies [Details]
- ESANN 2008 - Learning to play Tetris applying reinforcement learning methods [Details]
- ESANN 2009 - Forward feature selection using Residual Mutual Information [Details]
- ESANN 2013 - Evolutionary computation based system decomposition with neural networks [Details]
- ESANN 1995 - An episodic knowledge base for object understanding [Details]
- ESANN 1998 - Perception and action selection by anticipation of sensorimotor consequences [Details]
- ESANN 1999 - Visual-based posture recognition using hybrid neural networks [Details]
- No papers found
- ESANN 2002 - Undershooting: modeling dynamical systems by time grid refinements [Details]
- ESANN 2002 - Yield curve forecasting by error correction neural networks and partial learning [Details]
- ESANN 1993 - A learning and pruning algorithm for genetic Boolean neural networks [Details]
- ESANN 1993 - A mental problem for the solution of the direct and inverse kinematic problem [Details]
- ESANN 2004 - Separability of analytic postnonlinear blind source separation with bounded sources [Details]
- ESANN 1997 - d-NARMA neural networks: a connectionist extension of ARARMA models [Details]
- ESANN 2010 - Modelling the McGurk effect [Details]
- ESANN 2014 - Classifying Patterns in a Spiking Neural Network [Details]
- ESANN 2014 - Spiking Neural Networks: Principles and Challenges [Details]
- ESANN 2021 - Lifelong Learning from Event-based Data [Details]
- ESANN 2020 - Understanding and improving unsupervised training of Boltzman machines [Details]
- ESANN 2025 - Enhancing Image Classification in Quantum Computing: A Study on Preprocessing Techniques and Qubit Limitations [Details]
- ESANN 2010 - Random search enhancement of error minimized extreme learning machine [Details]
- ESANN 2020 - Interpretation of Model Agnostic Classifiers via Local Mental Images [Details]
- ESANN 2019 - Prediction of palm oil production with an enhanced n-Tuple Regression Network [Details]
- No papers found
- ESANN 2022 - Appearance-Context aware Axial Attention for Fashion Landmark Detection [Details]
- ESANN 1996 - Interpreting data through neural and statistical tools [Details]
- ESANN 1997 - Scene categorisation by curvilinear component analysis of low frequency spectra [Details]
- ESANN 2002 - Searching for the embedded manifolds in high-dimensional data, problems and unsolved questions [Details]
- ESANN 2013 - A new metric for dissimilarity data classification based on Support Vector Machines optimization [Details]
- ESANN 2018 - A sharper bound on the Rademacher complexity of margin multi-category classifiers [Details]
- No papers found
- ESANN 2023 - Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability [Details]
- ESANN 2000 - A statistical model selection strategy applied to neural networks [Details]
- ESANN 2002 - A resampling and multiple testing-based procedure for determining the size of a neural network [Details]
- ESANN 2002 - Noise derived information criterion for model selection [Details]
- ESANN 2003 - A new Meta Machine Learning (MML) method based on combining non-significant different neural networks [Details]
- ESANN 2009 - Brain Computer Interface for Virtual Reality Control [Details]