Ole Winther
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Researcher, machine learning, Technical University of Denmark, University of Copenhagen
Ole Winther's AcademicInfluence.com Rankings
Ole Winthercomputer-science Degrees
Computer Science
#6241
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#6582
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Machine Learning
#1956
World Rank
#1982
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Computer Science
Ole Winther's Degrees
- PhD Machine Learning Technical University of Denmark
Why Is Ole Winther Influential?
(Suggest an Edit or Addition)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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