Francisco Zamora-Martinez

6 Seguidores

Currently I'm with das-Nano (Pamplona area, Navarra, Spain) developing computer vision algorithms for different industrial products, and advising on machine learning algorithms. Previously I taught for 8 years at Universidad CEU Cardenal Herrera. I hold a PhD in computational linguistics, on the topic of artificial neural networks based language models, and its application into automatic speech/handwriting recognition and machine translation. My current research interests are machine learning, deep learning, energy efficiency tasks, pattern recognition, image and signal processing, among other related areas. I'm experienced participating in several competitions in international and worksh...

neural network artificial neural networks deep learning part-of-speech tagging language modelling stacked denoising auto-encoders statistical analysis epileptic seizure prediction machine learning temperature forecasting time series energy efficiency auto-encoders neural networks f-measure statistical machine translation handwritten text recognition spoken language understanding phd thesis handwritten text facial recognition system clustering image enhancing viterbi tree lexicon decoding artificial neural network time series forecasting domotic environment

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Some empirical evaluations of a temperature forecasting module based on Artificial Neural Networks for a domotic home environment - KDIR 2012

Há 11 anos • 611 Visualizações

Francisco Zamora-Martinez

Apresentações

Some empirical evaluations of a temperature forecasting module based on Artificial Neural Networks for a domotic home environment - KDIR 2012

Fast evaluation of Connectionist Language Models

Efficient BP Algorithms for General Feedforward Neural Networks

Efficient Viterbi algorithms for lexical tree based models

Behaviour-based Clustering of Neural Networks applied to Document Enhancement

Mejora del reconocimiento de palabras manuscritas aisladas mediante un clasificador específico para palabras cortas

Adding morphological information to a connectionist Part-Of-Speech tagger

A Connectionist approach to Part-Of-Speech Tagging

Contributions to connectionist language modeling and its application to sequence recognition and machine translation

F-Measure as the error function to train Neural Networks

Time-series forecasting of indoor temperature using pre-trained Deep Neural Networks

ESAI-CEU-UCH solution for American Epilepsy Society Seizure Prediction Challenge

Integration of Unsupervised and Supervised Criteria for DNNs Training

Gostaram

GFProxy: Scaling the GlusterFS FUSE Client

Docker 101: Introduction to Docker

Mi experiencia con Amazon AWS EC2 y S3

PFC

Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14

SQL Outer Joins for Fun and Profit

What Deep Learning Means for Artificial Intelligence

MongoDB and server performance