Ole Winther

Q: What Schools Are Affiliated With Ole Winther

Ole Winther is affiliated with the following schools: Technical University of Denmark, Lund University, University of Copenhagen

Ole Winther's AcademicInfluence.com Rankings

Ole Winther

Computer Science

#6241

World Rank

#6582

Historical Rank

Machine Learning

#1956

World Rank

#1982

Historical Rank

computer-science Degrees

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Computer Science

Ole Winther's Degrees

PhD Machine Learning Technical University of Denmark

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Ole Winther's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

SignalP 5.0 improves signal peptide predictions using deep neural networks (2019) (2398)
Autoencoding beyond pixels using a learned similarity metric (2015) (1711)
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update (2007) (761)
Ladder Variational Autoencoders (2016) (711)
DeepLoc: prediction of protein subcellular localization using deep learning (2017) (680)
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line (2009) (441)
Auxiliary Deep Generative Models (2016) (416)
Detecting sequence signals in targeting peptides using deep learning (2019) (376)
Sequential Neural Models with Stochastic Layers (2016) (342)
SignalP 6.0 predicts all five types of signal peptides using protein language models (2022) (297)
Gaussian Processes for Classification: Mean-Field Algorithms (2000) (276)
NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning (2019) (261)
Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae (2006) (246)
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning (2017) (234)
Expectation Consistent Approximate Inference (2005) (217)
BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis (2015) (215)
Bayesian Non-negative Matrix Factorization (2009) (213)
RSK is a principal effector of the RAS-ERK pathway for eliciting a coordinate promotile/invasive gene program and phenotype in epithelial cells. (2009) (208)
NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning (2018) (193)
Mean-Field Approaches to Independent Component Analysis (2002) (193)
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling (2019) (169)
Voice analysis as an objective state marker in bipolar disorder (2016) (160)
Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE. (2009) (149)
scVAE: Variational auto-encoders for single-cell gene expression data (2018) (145)
Convolutional LSTM Networks for Subcellular Localization of Proteins (2015) (132)
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks (2016) (127)
Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients. (2014) (125)
DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks (2022) (124)
A Deep Learning Approach to Identify Local Structures in Atomic‐Resolution Transmission Electron Microscopy Images (2018) (122)
Improved metagenome binning and assembly using deep variational autoencoders (2021) (116)
An introduction to deep learning on biological sequence data: examples and solutions (2017) (114)
The Bipolar Illness Onset study: research protocol for the BIO cohort study (2017) (111)
Protein Secondary Structure Prediction with Long Short Term Memory Networks (2014) (108)
Recurrent Relational Networks (2017) (104)
Adaptive and self-averaging Thouless-Anderson-Palmer mean-field theory for probabilistic modeling. (2001) (102)
Statistical modelling for ship propulsion efficiency (2012) (86)
HemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis (2012) (81)
Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm (2006) (77)
Tractable approximations for probabilistic models: the adaptive Thouless-Anderson-Palmer mean field approach. (2001) (76)
Down-regulation of microRNAs controlling tumourigenic factors in follicular thyroid carcinoma. (2012) (75)
Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission. (2012) (73)
S-AMP: Approximate message passing for general matrix ensembles (2014) (72)
CloudScan - A Configuration-Free Invoice Analysis System Using Recurrent Neural Networks (2017) (68)
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models (2014) (68)
FindZebra: A search engine for rare diseases (2013) (67)
Enterococcus faecalis Infection Causes Inflammation, Intracellular Oxphos-Independent ROS Production, and DNA Damage in Human Gastric Cancer Cells (2013) (66)
Efficient Approaches to Gaussian Process Classification (1999) (66)
Independent component analysis for understanding multimedia content (2002) (65)
Rare disease diagnosis: A review of web search, social media and large-scale data-mining approaches (2015) (63)
Airway Inflammation in Chronic Rhinosinusitis with Nasal Polyps and Asthma: The United Airways Concept Further Supported (2015) (62)
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows (2020) (60)
Hash Embeddings for Efficient Word Representations (2017) (58)
Systematic review of machine learning for diagnosis and prognosis in dermatology (2020) (57)
Bayesian Inference for Structured Spike and Slab Priors (2014) (57)
A Machine-Learning Approach to Predict Main Energy Consumption under Realistic Operational Conditions (2012) (57)
A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning (2019) (56)
An automated approach for annual layer counting in ice cores (2012) (55)
NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data (2021) (55)
Deep Generative Models for Molecular Science (2018) (53)
Approximate inference techniques with expectation constraints (2005) (52)
Multivariate Hawkes process models of the occurrence of regulatory elements (2010) (52)
Down-Regulation of miR-129-5p and the let-7 Family in Neuroendocrine Tumors and Metastases Leads to Up-Regulation of Their Targets Egr1, G3bp1, Hmga2 and Bach1 (2014) (51)
Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools (2020) (47)
A theory of solving TAP equations for Ising models with general invariant random matrices (2015) (46)
Recurrent Spatial Transformer Networks (2015) (45)
On the Transfer of Disentangled Representations in Realistic Settings (2020) (44)
COVID-19 Vaccine Candidates: Prediction and Validation of 174 SARS-CoV-2 Epitopes (2020) (43)
Attend, Copy, Parse End-to-end Information Extraction from Documents (2018) (43)
Deep learning for automated drivetrain fault detection (2018) (42)
A hierarchical model for ordinal matrix factorization (2012) (42)
Cancers of unknown primary origin (CUP) are characterized by chromosomal instability (CIN) compared to metastasis of know origin (2015) (39)
HemaExplorer: a Web server for easy and fast visualization of gene expression in normal and malignant hematopoiesis. (2012) (37)
Transcriptional regulation of gene expression clusters in motor neurons following spinal cord injury (2010) (36)
TAP Gibbs Free Energy, Belief Propagation and Sparsity (2001) (36)
MicroRNA expression analysis and Multiplex ligation‐dependent probe amplification in metastatic and non‐metastatic uveal melanoma (2014) (35)
Tumor suppressor ASXL1 is essential for the activation of INK4B expression in response to oncogene activity and anti-proliferative signals (2015) (34)
On the Slow Convergence of EM and VBEM in Low-Noise Linear Models (2005) (34)
Can large language models reason about medical questions? (2022) (34)
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors (2015) (34)
Integrative analyses reveal novel strategies in HPV11,-16 and -45 early infection (2012) (34)
A Quantitative Study Of Pruning By Optimal Brain Damage (1993) (33)
Molecular signatures of thyroid follicular neoplasia. (2010) (32)
DeepLoc: prediction of protein subcellular localization using deep learning (2017) (32)
Recurrent Relational Networks for Complex Relational Reasoning (2018) (31)
Discovery of Regulatory Elements is Improved by a Discriminatory Approach (2009) (30)
Sparse Linear Identifiable Multivariate Modeling (2010) (30)
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning (2022) (30)
Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures (2014) (29)
Semi-Supervised Generation with Cluster-aware Generative Models (2017) (29)
Bayesian independent component analysis: Variational methods and non-negative decompositions (2007) (29)
Reducing the rate and duration of Re-ADMISsions among patients with unipolar disorder and bipolar disorder using smartphone-based monitoring and treatment – the RADMIS trials: study protocol for two randomized controlled trials (2017) (29)
Competence Classification of Cumulus and Granulosa Cell Transcriptome in Embryos Matched by Morphology and Female Age (2016) (28)
Optimal perceptron learning: as online Bayesian approach (1999) (27)
Bioinformatics for cancer immunotherapy target discovery (2014) (25)
Expectation Consistent Free Energies for Approximate Inference (2004) (24)
Gaussian processes and SVM: Mean field results and leave-one-out (2000) (24)
Improving Semi-Supervised Learning with Auxiliary Deep Generative Models (2015) (23)
Low complexity Bayesian single channel source separation (2004) (23)
Flexible non-linear predictive models for large-scale wind turbine diagnostics (2017) (23)
Analysis of functional neuroimages using ICA with adaptive binary sources (2002) (22)
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models (2022) (22)
Angiotensinogen and HLA class II predict bevacizumab response in recurrent glioblastoma patients (2016) (22)
Mean Field Methods for Classification with Gaussian Processes (1998) (22)
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications (2009) (21)
Generalization and Robustness Implications in Object-Centric Learning (2021) (21)
Incremental Gaussian Processes (2002) (20)
Improving on Expectation Propagation (2008) (20)
Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction (2017) (19)
Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach (2020) (19)
Specialized tools are needed when searching the web for rare disease diagnoses (2013) (19)
Binning microbial genomes using deep learning (2018) (18)
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data (2019) (18)
Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases (2020) (18)
The Effect of Correlated Input Data on the Dynamics of Learning (1996) (18)
Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search (2016) (17)
SignalP 6.0 achieves signal peptide prediction across all types using protein language models (2021) (16)
Gene expression of the endolymphatic sac (2011) (16)
Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks (2021) (16)
A Comparison of Tools for Copy-Number Variation Detection in Germline Whole Exome and Whole Genome Sequencing Data (2021) (16)
MEAN FIELD IMPLEMENTATION OF BAYESIAN ICA (2001) (15)
Embedded Systems Design with 8051 Microcontrollers : Hardware and Software (1999) (15)
Single mRNP Analysis Reveals that Small Cytoplasmic mRNP Granules Represent mRNA Singletons. (2019) (15)
A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks (1996) (15)
Language modelling for biological sequences – curated datasets and baselines (2020) (15)
Teaching computers to fold proteins. (2003) (15)
Literature classification for semi-automated updating of biological knowledgebases (2013) (15)
Joint Iterative Carrier Synchronization and Signal Detection Employing Expectation Maximization (2014) (15)
Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach (2011) (14)
Detecting Novel Sequence Signals in Targeting Peptides Using Deep Learning (2019) (14)
COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes (2020) (14)
Perturbative corrections for approximate inference in Gaussian latent variable models (2013) (14)
Reducing the rate of psychiatric re‐admissions in bipolar disorder using smartphones—The RADMIS trial (2020) (13)
Flexible and efficient implementations of Bayesian independent component analysis (2007) (13)
Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas (2014) (13)
S-AMP for non-linear observation models (2015) (12)
Deep Belief Nets for Topic Modeling (2015) (12)
FindZebra - the search engine for difficult medical cases (2014) (12)
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow (2020) (12)
Predictive active set selection methods for Gaussian processes (2011) (12)
Variational Linear Response (2003) (12)
Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments (2020) (12)
PASS-GP: Predictive active set selection for Gaussian processes (2010) (12)
Rare Disease Diagnosis as an Information Retrieval Task (2011) (12)
Neural Networks and Cellular Automata Complexity (1993) (12)
Bayesian Structure Learning for Dynamic Brain Connectivity (2018) (11)
Semi-Supervised Mean Fields (2007) (11)
BayesMD: Flexible Biological Modeling for Motif Discovery (2008) (10)
The EM algorithm in independent component analysis (2005) (9)
Few-Shot Diffusion Models (2022) (9)
Dynamical functional theory for compressed sensing (2017) (9)
Towards Hierarchical Discrete Variational Autoencoders (2019) (9)
Cellular origin of prognostic chromosomal aberrations in AML patients (2015) (8)
Neural Machine Translation with Characters and Hierarchical Encoding (2016) (8)
Gaussian Process Classiication and Svm: Mean Field Results and Leave-one-out Estimator (2007) (8)
Computing the Minimum-Phase Filter Using the QL-Factorization (2010) (8)
The effect of smartphone-based monitoring and treatment on the rate and duration of psychiatric readmission in patients with unipolar depressive disorder: The RADMIS randomized controlled trial. (2020) (8)
The Role of Pretrained Representations for the OOD Generalization of RL Agents (2022) (8)
Abstract PO-046: Assessment of COVID-19 vaccine candidates: Prediction and validation of 174 SARS-CoV-2 epitopes (2020) (8)
Artificial Neural Networks for Nonlinear Dynamic Response Simulation in Mechanical Systems (2011) (8)
Ensemble Learning and Linear Response Theory for ICA (2000) (7)
Differential Gene Expression in the Otic Capsule and the Middle Ear—An Annotation of Bone-Related Signaling Genes (2015) (7)
Bayesian Sparse Factor Models and DAGs Inference and Comparison (2009) (7)
Improved Multistage Detector by Mean-Field Annealing in Multi-User CDMA (2002) (7)
SOFOMORE: Combined EEG source and forward model reconstruction (2009) (7)
Optimization of neural networks for time-domain simulation of mooring lines (2016) (6)
Self-Averaging Expectation Propagation (2016) (6)
Tractable inference for probabilistic data models (2003) (6)
Optimal learning in multilayer neural networks (1997) (6)
Image Super-Resolution With Deep Variational Autoencoders (2022) (6)
Optimal Perceptron Learning : anOnline Bayesian (1998) (5)
Development and implementation of a PV performance monitoring system based on inverter measurements (2016) (5)
The middle ear immune defense changes with age (2015) (5)
DermX: an end-to-end framework for explainable automated dermatological diagnosis (2022) (5)
Scalable systems for early fault detection in wind turbines: A data driven approach (2015) (5)
Bayesian Mean Field Algorithms for Neural Networks and Gaussian Processes (1998) (5)
Nonlinear impairment compensation using expectation maximization for PDM 16-QAM systems (2012) (5)
Optimal online learning: a Bayesian approach (1999) (5)
Learning to Plan from Raw Data in Grid-based Games (2018) (5)
A computational method for identification of vaccine targets from protein regions of conserved human leukocyte antigen binding (2015) (5)
Condition Monitoring in Photovoltaic Systems by Semi-Supervised Machine Learning (2020) (5)
Bayesian Generalised Ensemble Markov Chain Monte Carlo (2016) (5)
Improved metagenome binning and assembly using deep variational autoencoders (2021) (5)
Computing with Finite and Infinite Networks (2000) (4)
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning (2021) (4)
Identifying Atoms in High Resolution Transmission Electron Micrographs Using a Deep Convolutional Neural Net (2018) (4)
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds (2020) (4)
Using Neural Networks to Identify Atoms in HRTEM Images (2019) (4)
Perturbation Theory for Variational Inference (2015) (4)
Mean Field ICA (2006) (4)
Bone Signaling in Middle Ear Development: A Genome‐Wide Differential Expression Analysis (2014) (4)
Hierarchical Few-Shot Generative Models (2021) (4)
LAVAE: Disentangling Location and Appearance (2019) (3)
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures (2022) (3)
Particle Filter Inference in an Articulatory-Based Speech Model (2007) (3)
On Sphere Detection and Minimum-Phase Prefiltered Reduced-State Sequence Estimation (2007) (3)
NeuralNEB—neural networks can find reaction paths fast (2022) (3)
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems (2015) (3)
Analysis of Mean Field Annealing in Substactive Interference Cancellation (2002) (3)
Transition1x - a dataset for building generalizable reactive machine learning potentials (2022) (3)
Gaussian process based independent analysis for temporal source separation in fMRI (2017) (3)
Hierarchical Bayesian model for simultaneous EEG source and forward model reconstruction (SOFOMORE) (2009) (3)
End-to-End Information Extraction without Token-Level Supervision (2017) (3)
Towards In-Silico CLIP-seq: Predicting Protein-RNA Interaction via Sequence-to-Signal Learning (2022) (3)
Approximate inference with expectation constraints (2005) (3)
Deep integrative models for large-scale human genomics (2021) (3)
Zebra: Searching for Rare Diseases A Case of Task-Based Search in the Medical Domain (3)
ThoughtSource: A central hub for large language model reasoning data (2023) (2)
Bayesian and non-Bayesian techniques applied to censored survival data with missing values (2007) (2)
Explainable Image Quality Assessments in Teledermatological Photography (2022) (2)
An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants (2016) (2)
Regularized models of audiovisual integration of speech with predictive power for sparse behavioral data (2020) (2)
Interpretable Autoencoders Trained on Single Cell Sequencing Data Can Transfer Directly to Data from Unseen Tissues (2021) (2)
CaGeM : A Cluster Aware Deep Generative Model (2017) (2)
Scalable Bayesian Modelling of Paired Symbols (2014) (2)
Information Theory Workshop (ITW), 2014 IEEE (2014) (2)
Bayesian online learning in the perceptron (1997) (2)
Model Selection in Data Analysis Competitions (2014) (2)
Reconstructing the exit wave of 2D materials in high-resolution transmission electron microscopy using machine learning. (2021) (2)
SignalP 5.0 improves signal peptide predictions using deep neural networks (2019) (1)
Kernel Methods for Machine Learning with Life Science Applications (2013) (1)
Applications of expectation maximization algorithm for coherent optical communication (2014) (1)
THE EM ALGORITHM IN INDEPENDENT COMPONENT ANALYSIS Kaare (2005) (1)
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents (2021) (1)
Zero-shot Cross Language Text Classification (2018) (1)
Large-scale Ordinal Collaborative Filtering (2010) (1)
ID 345 – “What”, “When”, “Whether” – The electrophysiological correlates of voluntary action in virtual environment (2016) (1)
Sparse Multivariate Modeling: Priors and Applications (2011) (1)
Large Scale Bayesian Kernel Learning with the Subspace EM Algorithm (2002) (1)
Learning the language of life (2019) (1)
PixelCNN as a Single-Layer Flow (2019) (1)
Deep Belief Nets for Topic Modeling Workshop on Knowledge-Powered Deep Learning for Text Mining (KPDLTM-2014) (2014) (1)
Bloodspot: A Web Resource Facilitating the Analysis of Transcriptional Programs in Normal and Malignant Hematopoiesis (2015) (1)
Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas (2014) (1)
Transfer learning identifies sequence determinants of regulatory element accessibility (2023) (1)
The Predictive Value of Gene Expression Profiles for Acute Graft-Versus-Host Disease after Hematopoietic Cell Transplantation with Nonmyeloablative Conditioning for Hematological Malignancy. (2007) (1)
Functional Brain Imaging by EEG: A Window to the Human Mind (2012) (1)
Spatio-temporal spike and slab priors for MMV problems (2015) (1)
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation (2021) (1)
May 09, 2020 Down-Regulation of miR-129-5p and the let-7 Family in Neuroendocrine Tumors and Metastases Leads to Up-Regulation of Their Targets Egr1, G3bp1, (2014) (1)
A computational method for identification of vaccine targets from protein regions of conserved human leukocyte antigen binding (2015) (1)
A Mean Eld Algorithm for Bayes Learning in Large Feed-forward Neural Networks (1997) (1)
Machine learning methods for nanolaser characterization (2016) (1)
Identifying endogenous peptide receptors by combining structure and transmembrane topology prediction (2022) (1)
Feature Map Variational Auto-Encoders (2018) (1)
Optimal allocation of reviewers for peer feedback (2017) (1)
Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory (2023) (1)
Probabilistic data modelling with adaptive TAP mean-field theory (2001) (1)
The 8051 Assembly Language Programming (2018) (0)
Design Examples (2018) (0)
Optimal online learning : a Bayesian approachSara (1999) (0)
Basic concepts (2018) (0)
Research article Transcriptional regulation of gene expression clusters in motor neurons following spinal cord injury (2010) (0)
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data (2019) (0)
Uncertainty-Aware and Explainable Machine Learning for Early Prediction of Battery Cell Degradation (2021) (0)
Improved sub-nuclear prediction by Deep Learning using an augmented dataset (2019) (0)
Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibility (2022) (0)
Unifying Molecular and Textual Representations via Multi-task Language Modelling (2023) (0)
Embedded Systems Design (2018) (0)
The 83C552 Microcontroller (2018) (0)
Increasing Expressivity of a Hyperspherical VAE (2019) (0)
Improved prediction of blood biomarkers using deep learning (2022) (0)
Approximate Inference for Wireless Communications (2010) (0)
Submitted xxxx; Revised xxxx; Published xx/xx (2009) (0)
Literature classification for semi-automated updating of biological knowledgebases (2013) (0)
FRAME SELECTION FOR SPEAKER IDENTIFICATION (2005) (0)
Down-regulation of miR-129-5p and the let-7 family in neuroendocrine tumors and metastases leads to up-regulation of their targets Egr1, and Bach1 (2014) (0)
Danish Sound Technology Network Intelligent Sound Center for Computational Cognitive Modeling (2009) (0)
DiscoTope-3.0 - Improved B-cell epitope prediction using AlphaFold2 modeling and inverse folding latent representations (2023) (0)
Down-regulation of miR-129-5p and the let-7 family in neuroendocrine tumors and metastases leads to up-regulation of their targets Egr1, and (2014) (0)
Analog Interfacing (2018) (0)
TRAFFIC PREDICTION WITH CONVOLUTIONAL LONG SHORT-TERM MEMORY (2018) (0)
Variational Open-Domain Question Answering (2022) (0)
On Forward Model Uncertainty in EEG Source Localization (2011) (0)
Can smartphone-based electronic markers discriminate between patients with bipolar disorder, healthy first-degree relatives and healthy control individuals (2017) (0)
DermX: a Dermatological Diagnosis Explainability Dataset (2021) (0)
Machine learning for smart apps (2014) (0)
Aalborg Universitet A Theory of Solving TAP Equations for Ising Models with General Invariant Random (2016) (0)
Fast convolutional deep learning for image segmentation (2015) (0)
Serial Interfaces for Distributed Embedded Systems (2018) (0)
Superior Neural Network for Distinguishing Between Atomic Species (2021) (0)
Interfacing Personal Computers (2018) (0)
337: The Predictive Value of Gene Expression Profiles for Acute Graft-Versus-Host Disease after Hematopoietic Cell Transplantation with Nonmyeloablative Conditioning for Hematological Malignancy (2008) (0)
Bayesian Structure Learning for Dynamic Brain Connectivity : Supplementary material (2018) (0)
A hierarchical model for ordinal matrix factorization (2011) (0)
Approximate Inference in Probabilistic Models (2004) (0)
Learning Graphical Model Structure with Sparse Bayesian Factor Models and Process Priors (2009) (0)
Cancers of unknown primary origin (CUP) are characterized by chromosomal instability (CIN) compared to metastasis of know origin (2015) (0)
Deorphanizing Peptides Using Structure Prediction. (2023) (0)
High Level Languages for Microcontrollers (2018) (0)
The Bipolar Illness Onset study (2017) (0)
T HE R OLE OF P RETRAINED R EPRESENTATIONS FOR THE OOD G ENERALIZATION OF RL A GENTS (2022) (0)
Reconstructing the exit wave in high-resolution transmission electron microscopy using machine learning (2021) (0)
FIELD IMPLEMENTATION OF BAYESIAN ICA (2001) (0)
Explainability of Convolutional Neural Networks for Dermatological Diagnosis (2021) (0)
The 8051 Microcontroller (2018) (0)
[Artificial intelligence in diagnosing skin diseases]. (2021) (0)
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks (2023) (0)
LAVAE: DISENTANGLING LOCATION (2019) (0)
Improving The Analysis Of Gene Expression Profiles By Comparing AML Blasts With Their Nearest Normal Counterparts (2013) (0)
GraphPart: Homology partitioning for biological sequence analysis (2023) (0)
Large-scale Automated Analysis of High-Resolution Transmission Electron Microscopy Data Assisted by Deep Learning Neural Networks (2022) (0)
Mean Eld Methods for Classiication with Gaussian Processes (1999) (0)
Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach (Preprint) (2019) (0)
Evaluation of the Influence of Uncertain Forward Models on the EEG Source Reconstruction Problem (2009) (0)
FindZebra Online Search Delving into Rare Disease Case Reports Using Natural Language Processing (2022) (0)
Hemaexplorer 2.0: A Free Access Internet Platform For Visualization Of Gene Expression In AML Patients and The Normal Hematopoietic Hierarchy (2013) (0)
Machine-Learning Assisted Exit-wave Reconstruction for Quantitative Feature Extraction (2022) (0)
ImprovedMultistageDetectorby Mean-FieldAnnealing in Multi-UserCDMA (2002) (0)
Embedded Systems Design with 8051 Microcontrollers (2018) (0)
MembraneFold: Visualising transmembrane protein structure and topology (2022) (0)
Explainability of Convolutional Neural Networks for Dermatological Diagnosis (Preprint) (2021) (0)
Learning linear Bayes networks with sparse Bayesian models (2009) (0)
Digital Interfacing (2018) (0)

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