Lista de obras - Sepp Hochreiter - Dominio Público Uruguay

A new summarization method for Affymetrix probe level data

artículo científico publicado en 2006

APCluster: an R package for affinity propagation clustering

artículo científico publicado en 2011

Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks

scientific article published on 06 March 2019

An SMO algorithm for the potential support vector machine

artículo científico publicado en 2008

Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures

artículo científico publicado en 2014

Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models ⬇️

article by Sepp Hochreiter & Michael C. Mozer published 2001 in Advances in Neural Information Processing Systems 13

Complex networks govern coiled-coil oligomerization--predicting and profiling by means of a machine learning approach

artículo científico publicado en 2011

Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems ⬇️

artículo científico publicado en 2003

DEXUS: identifying differential expression in RNA-Seq studies with unknown conditions

artículo científico publicado en 2013

Decoding Sequence Classification Models for Acquiring New Biological Insights

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning

scientific article published on 13 April 2020

DeepSynergy: Predicting anti-cancer drug synergy with Deep Learning

artículo científico publicado en 2018

DeepTox: Toxicity Prediction using Deep Learning

article

DeepTox: Toxicity prediction using deep learning

article

Detection of Nonlinear Effects in Gene Expression Pathways

article

FABIA: factor analysis for bicluster acquisition

artículo científico publicado en 2010

Fast model-based protein homology detection without alignment

artículo científico publicado en 2007

Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers ⬇️

artículo científico publicado en 2003

Filtering data from high-throughput experiments based on measurement reliability.

artículo científico publicado en 2010

Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery

artículo científico publicado en 2018

Furby: fuzzy force-directed bicluster visualization

artículo científico publicado en 2014

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium ⬇️

artículo científico publicado en 2017

Genome-wide chromatin remodeling identified at GC-rich long nucleosome-free regions

artículo científico publicado en 2012

HapFABIA: identification of very short segments of identity by descent characterized by rare variants in large sequencing data

artículo científico publicado en 2013

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data

artículo científico publicado en 2007

IBD Sharing between Africans, Neandertals, and Denisovans

scientific article published on December 2016

In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance

Increasing the discovery power of -omics studies

Informative or noninformative calls for gene expression: a latent variable approach.

artículo científico publicado en 2010

KeBABS: an R package for kernel-based analysis of biological sequences.

artículo científico publicado en 2015

LSTM can Solve Hard Long Time Lag Problems ⬇️

artículo científico publicado en 1997

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

artículo científico publicado en 2018

Learning to Learn Using Gradient Descent

Long Short Term Memory ⬇️

technical report FKI-207-95

Long Short-Term Memory ⬇️

artículo científico publicado el 15 de noviembre de 1997

Machine Learning in Drug Discovery

artículo científico publicado en 2018

Machine Learning in Drug Discovery

artículo científico publicado en 2019

Machine learning-based prediction of transfusion

artículo científico publicado en 2020

Nonlinear Feature Selection with the Potential Support Vector Machine

Optimality of LSTD and its Relation to MC

PrOCoil – Advances in predicting two- and three-stranded coiled coils

RUDDER: Return Decomposition for Delayed Rewards ⬇️

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.

artículo científico publicado en 2015

Rectified Factor Networks ⬇️

Rectified factor networks for biclustering of omics data

artículo científico publicado en 2017

Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery

artículo científico publicado en 2018

SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA ⬇️

artículo científico publicado en 1995

Self-Normalizing Neural Networks ⬇️

scholarly article

Sharing of Very Short IBD Segments between Humans, Neandertals, and Denisovans

Source Separation as a By-Product of Regularization ⬇️

Support vector machines for dyadic data

artículo científico publicado en 2006

The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

Untersuchungen zu dynamischen neuronalen Netzen ⬇️

Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.

artículo científico publicado en 2015

cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate

artículo científico publicado en 2011

cn.FARMS: a probabilistic model to detect DNA copy numbers

cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate

artículo científico publicado en 2012

msa: an R package for multiple sequence alignment

artículo científico publicado en 2015

panelcn.MOPS: Copy-number detection in targeted NGS panel data for clinical diagnostics

artículo científico publicado en 2017

xLSTM: Extended Long Short-Term Memory ⬇️

artículo científico publicado en 2024

Lista de obras de Sepp Hochreiter

A new summarization method for Affymetrix probe level data

APCluster: an R package for affinity propagation clustering

Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks

An SMO algorithm for the potential support vector machine

Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures

Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models ⬇️

Complex networks govern coiled-coil oligomerization--predicting and profiling by means of a machine learning approach

Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems ⬇️

DEXUS: identifying differential expression in RNA-Seq studies with unknown conditions

Decoding Sequence Classification Models for Acquiring New Biological Insights

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning

DeepSynergy: Predicting anti-cancer drug synergy with Deep Learning

DeepTox: Toxicity Prediction using Deep Learning

DeepTox: Toxicity prediction using deep learning

Detection of Nonlinear Effects in Gene Expression Pathways

FABIA: factor analysis for bicluster acquisition

Fast model-based protein homology detection without alignment

Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers ⬇️

Filtering data from high-throughput experiments based on measurement reliability.

Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery

Furby: fuzzy force-directed bicluster visualization

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium ⬇️

Genome-wide chromatin remodeling identified at GC-rich long nucleosome-free regions

HapFABIA: identification of very short segments of identity by descent characterized by rare variants in large sequencing data

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data

IBD Sharing between Africans, Neandertals, and Denisovans

In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance

Increasing the discovery power of -omics studies

Informative or noninformative calls for gene expression: a latent variable approach.

KeBABS: an R package for kernel-based analysis of biological sequences.

LSTM can Solve Hard Long Time Lag Problems ⬇️

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

Learning to Learn Using Gradient Descent

Long Short Term Memory ⬇️

Long Short-Term Memory ⬇️

Machine Learning in Drug Discovery

Machine Learning in Drug Discovery

Machine learning-based prediction of transfusion

Nonlinear Feature Selection with the Potential Support Vector Machine

Optimality of LSTD and its Relation to MC

PrOCoil – Advances in predicting two- and three-stranded coiled coils

RUDDER: Return Decomposition for Delayed Rewards ⬇️

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.

Rectified Factor Networks ⬇️

Rectified factor networks for biclustering of omics data

Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery

SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA ⬇️

Self-Normalizing Neural Networks ⬇️

Sharing of Very Short IBD Segments between Humans, Neandertals, and Denisovans

Source Separation as a By-Product of Regularization ⬇️

Support vector machines for dyadic data

The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

Untersuchungen zu dynamischen neuronalen Netzen ⬇️

Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.

cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate

cn.FARMS: a probabilistic model to detect DNA copy numbers

cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate

msa: an R package for multiple sequence alignment

panelcn.MOPS: Copy-number detection in targeted NGS panel data for clinical diagnostics

xLSTM: Extended Long Short-Term Memory ⬇️

δ-Clustering of Monotone Profiles