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Yannik Layer
- ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
- ESANN 2006 - The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks [Details]
- ESANN 2004 - Neuro-predictive control based self-tuning of PID controllers [Details]
- ESANN 2000 - Distributed clustering and local regression for knowledge discovery in multiple spatial databases [Details]
- ESANN 2004 - Neural network-based calibration of positron emission tomograph detector modules [Details]
- ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]
- ESANN 1999 - Storage capacity and dynamics of nonmonotonic networks [Details]
- ESANN 2023 - Anomaly detection in irregular image sequences for concentrated solar power plants [Details]
- ESANN 2016 - Fast Support Vector Clustering [Details]
- ESANN 2016 - Fast Support Vector Clustering [Details]
- ESANN 2023 - FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer [Details]
- ESANN 2024 - Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms [Details]
- ESANN 2023 - FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer [Details]
- ESANN 2024 - Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms [Details]
- ESANN 2024 - T-WinG: Windowing for Temporal Knowledge Graph Completion [Details]
- ESANN 2020 - Seq-to-NSeq model for multi-summary generation [Details]
- ESANN 2015 - Solar PV Power Forecasting Using Extreme Learning Machine and Information Fusion [Details]
- ESANN 2015 - On the equivalence between regularized NMF and similarity-augmented graph partitioning [Details]
- ESANN 2019 - Metric learning with relational data [Details]
- ESANN 2019 - Metric learning with submodular functions [Details]
- ESANN 2023 - Energy-efficient detection of a spike sequence [Details]
- ESANN 2015 - Reducing offline evaluation bias of collaborative filtering [Details]
- ESANN 2015 - Using the Mean Absolute Percentage Error for Regression Models [Details]
- ESANN 2024 - Recurrent Neural Network based Counter Automata [Details]
- ESANN 2021 - Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation [Details]
- ESANN 2004 - Visualization and classification with categorical topological map [Details]
- ESANN 2005 - Mixed Topological Map [Details]
- ESANN 2008 - Clustering of Self-Organizing Map [Details]
- ESANN 2012 - Automatic Group-Outlier Detection [Details]
- ESANN 2000 - Topological map for binary data [Details]
- ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
- ESANN 2024 - From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics [Details]
- ESANN 2024 - HDBSCAN for 3-rd order tensor [Details]
- ESANN 2024 - Lightweight Cross-Modal Representation Learning [Details]
- ESANN 2003 - VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications [Details]
- ESANN 2023 - Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches [Details]
- ESANN 1999 - Tackling the stability/plasticity dilemma with double loop dynamic systems [Details]
- ESANN 2012 - Linear kernel combination using boosting [Details]
- ESANN 2005 - Usage Guided Clustering of Web Pages with the Median Self Organizing Map [Details]
- ESANN 2009 - Simultaneous Clustering and Segmentation for Functional Data [Details]
- ESANN 2003 - Autonomous learning algorithm for fully connected recurrent networks [Details]
- ESANN 2008 - Petri nets design based on neural networks [Details]
- ESANN 2009 - Self-organising map for large scale processes monitoring [Details]
- ESANN 2002 - Unsupervised classifier for monitoring and diagnostic of time series [Details]
- ESANN 1999 - Generalisation capabilities of a distributed neural classifier [Details]