Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Javen Shi
  • ESANN 2024 - Invariant Representation Learning for Generalizable Imitation [Details]
Zhengxiang Shi
  • No papers found
Qingjiang Shi
  • ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
Timothy J. Shields
  • ESANN 2017 - Structure optimization for deep multimodal fusion networks using graph-induced kernels [Details]
Elcio Shiguemori
  • ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
Jerry Shih
  • ESANN 2018 - interpretation of convolutional neural networks for speech regression from electrocorticography [Details]
Shohei Shimizu
  • ESANN 2017 - A novel principle for causal inference in data with small error variance [Details]
Y. Shimizu
  • ESANN 2002 - An estimation model of pupil size for 'Blink Artifact' and it's applications [Details]
  • ESANN 2003 - Subject Categorization for Web Educational Resources using MLP [Details]
K. Shimohara
  • ESANN 1999 - Heterogeneity enhanced order in a chaotic neural network [Details]
Gautam Shroff
  • ESANN 2015 - Long Short Term Memory Networks for Anomaly Detection in Time Series [Details]
  • ESANN 2017 - TimeNet: Pre-trained deep recurrent neural network for time series classification [Details]
  • ESANN 2018 - Evolutionary RL for Container Loading [Details]
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
Gautam Shroff
  • ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
Kaushal Kumar Shukla
  • No papers found
Mariya Shumska
  • ESANN 2023 - Multispectral Texture Classification in Agriculture [Details]
J. Si
  • ESANN 1997 - Blind equalization with a linear feedforward neural network [Details]
Nor Zainah Siau
  • No papers found
Kirill Sidorov
  • ESANN 2024 - Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text [Details]
Xavier Siebert
  • ESANN 2023 - Multimodal Approach for Harmonized System Code Prediction [Details]
  • ESANN 2023 - Similarity versus Supervision: Best Approaches for HS Code Prediction [Details]
  • ESANN 2024 - Influence of image encoders and image features transformations in emergent communication [Details]
Michael Siers
  • ESANN 2016 - RBClust: High quality class-specific clustering using rule-based classification [Details]
Rafet Sifa
  • ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
  • ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
  • ESANN 2023 - Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements [Details]
Laurent Sifre
  • ESANN 2012 - Combined scattering for rotation invariant texture analysis [Details]
Pekka Siirtola
  • ESANN 2016 - From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors [Details]
  • ESANN 2018 - Effect of context in swipe gesture-based continuous authentication on smartphones [Details]
  • ESANN 2018 - Personalizing human activity recognition models using incremental learning [Details]
  • ESANN 2019 - Importance of user inputs while using incremental learning to personalize human activity recognition models [Details]
Pekka Siirtola
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
Helio Silva
  • ESANN 2022 - Predicting Test Execution Times with Asymmetric Random Forests [Details]
Daniel G. Silva
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
Pedro Silva
  • ESANN 2015 - Revisiting ant colony algorithms to seismic faults detection [Details]
Leandro Silva
  • ESANN 2020 - Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning [Details]
  • ESANN 2023 - Evaluation of Contrastive Learning for Electronic Component Detection [Details]
Luis Silva
  • ESANN 2005 - Neural network classification using Shannon's entropy [Details]
  • ESANN 2016 - Stacked denoising autoencoders for the automatic recognition of microglial cells’ state [Details]
Catarina Silva
  • ESANN 2021 - Decay Momentum for Improving Federated Learning [Details]
Ricardo Silva
  • ESANN 2014 - Fine-tuning of support vector machine parameters using racing algorithms [Details]
  • ESANN 2015 - I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem [Details]
  • ESANN 2017 - A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets [Details]
Helio Silva
  • No papers found