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Mauricio Breternitz Jr.
- ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
- ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
- ESANN 2022 - Pruning Weightless Neural Networks [Details]
- ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
- No papers found
- ESANN 2003 - Extracting Interface Assertions from Neural Networks in Polyhedral Format [Details]
- ESANN 1993 - Place-to-time code transformation during saccades [Details]
- ESANN 2016 - Enhanced learning for agents in quantum-accessible environments [Details]
- ESANN 2012 - Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks [Details]
- ESANN 2026 - NSA: Neuro-symbolic ARC Challenge [Details]
- ESANN 2020 - Sparse Metric Learning in Prototype-based Classification [Details]
- ESANN 2021 - Federated Learning Vector Quantization [Details]
- ESANN 2022 - Federated learning vector quantization for dealing with drift between nodes [Details]
- ESANN 2023 - Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts [Details]
- ESANN 2024 - Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty [Details]
- ESANN 2026 - Drift Localization using Conformal Predictions [Details]
- ESANN 2026 - Real vs. Virtual Drift: Creating Realistic Stream Learning Benchmarks [Details]
- ESANN 2018 - Differential private relevance learning [Details]
- ESANN 2017 - Impact of the initialisation of a blind unmixing method dealing with intra-class variability [Details]
- ESANN 2017 - Automatic crime report classi cation through a weightless neural network [Details]
- ESANN 2023 - Large-scale dataset and benchmarking for hand and face detection focused on sign language [Details]
- No papers found
- ESANN 2022 - A Machine Learning Approach for School Dropout Prediction in Brazil [Details]
- ESANN 2025 - Investigating the Impact of Imbalanced Medical Data on the Performance of Self-Supervised Learning Approaches [Details]
- ESANN 2023 - Graph-based Categorical Embedding [Details]
- ESANN 2023 - Language Modeling in Logistics: Customer Calling Prediction [Details]
- ESANN 2021 - Machine Learning for Measuring and Analyzing Online Social Communications [Details]
- ESANN 2021 - Differentially Private Time Series Generation [Details]
- ESANN 2019 - time series modelling of market price in real-time bidding [Details]
- ESANN 2023 - Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements [Details]
- ESANN 2026 - Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty [Details]
- ESANN 1999 - An integer recurrent artificial neural network for classifying feature vectors [Details]
- ESANN 2001 - One-to-many mappings represented on feed-forward networks [Details]
- ESANN 2002 - Storing many-to-many mappings on a feed-forward neural network using fuzzy sets [Details]
- ESANN 2017 - Degrees of Freedom in Regression Ensembles [Details]
- ESANN 2017 - Mutual information for improving the efficiency of the SCH algorithm [Details]
- ESANN 1998 - Output jitter diverges to infinity, converges to zero or remains constant [Details]
- ESANN 1998 - What is observable in a class of neurodynamics? [Details]
- ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]
- ESANN 1994 - Variable binding in a neural network using a distributed representation [Details]
- No papers found
- ESANN 2021 - Hierarchical Planning in Multilayered State-Action Networks [Details]
- ESANN 2008 - Direct and inverse solution for a stimulus adaptation problem using SVR [Details]