Joachim M. Buhmann

Joachim M. Buhmann's AcademicInfluence.com Rankings

Joachim M. Buhmann

Computer Science

#5588

World Rank

#5902

Historical Rank

Information Management

#55

World Rank

#57

Historical Rank

Machine Learning

#1542

World Rank

#1564

Historical Rank

Database

#2735

World Rank

#2859

Historical Rank

computer-science Degrees

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Computer Science

Joachim M. Buhmann's Degrees

PhD Computer Science University of California, San Diego
Masters Computer Science University of California, San Diego
Bachelors Computer Science University of California, San Diego

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Joachim M. Buhmann'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

Distortion Invariant Object Recognition in the Dynamic Link Architecture (1993) (2115)
Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry (2014) (1156)
The Balanced Accuracy and Its Posterior Distribution (2010) (1067)
Empirical evaluation of dissimilarity measures for color and texture (1999) (748)
Pairwise Data Clustering by Deterministic Annealing (1997) (542)
Stability-Based Validation of Clustering Solutions (2004) (490)
Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry* (2009) (316)
Non-parametric similarity measures for unsupervised texture segmentation and image retrieval (1997) (305)
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation (2017) (278)
Unsupervised Texture Segmentation in a Deterministic Annealing Framework (1998) (247)
Topology free hidden Markov models: application to background modeling (2001) (245)
Crowdsourcing the creation of image segmentation algorithms for connectomics (2015) (245)
Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation (2003) (234)
The Mobile Robot RHINO (1995) (225)
Bagging for Path-Based Clustering (2003) (223)
Computational Pathology: Challenges and Promises for Tissue Analysis (2015) (218)
TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks (2016) (217)
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data (2003) (213)
Pattern Segmentation in Associative Memory (1990) (208)
Guarantees for Greedy Maximization of Non-submodular Functions with Applications (2017) (202)
Decoding the perception of pain from fMRI using multivariate pattern analysis (2012) (180)
A Hidden Markov Model for de Novo Peptide Sequencing (2004) (178)
Weakly supervised semantic segmentation with a multi-image model (2011) (176)
Weakly supervised structured output learning for semantic segmentation (2012) (176)
Generative Embedding for Model-Based Classification of fMRI Data (2011) (160)
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning (2010) (159)
Dissecting psychiatric spectrum disorders by generative embedding☆☆☆ (2013) (156)
Cancer genetics-guided discovery of serum biomarker signatures for diagnosis and prognosis of prostate cancer (2011) (149)
Multi-assignment clustering for Boolean data (2009) (142)
A Resampling Approach to Cluster Validation (2002) (141)
Feature selection for support vector machines (2000) (135)
Landscape of clustering algorithms (2004) (133)
On Relevant Dimensions in Kernel Feature Spaces (2008) (132)
A theory of proximity based clustering: structure detection by optimization (2000) (126)
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains (2016) (126)
Active learning for semantic segmentation with expected change (2012) (126)
Wheel Defect Detection With Machine Learning (2018) (124)
Sensory segmentation with coupled neural oscillators (1992) (122)
Expectation-maximization for sparse and non-negative PCA (2008) (121)
Nonparametric Bayesian Image Segmentation (2008) (117)
Cluster analysis of heterogeneous rank data (2007) (114)
Stability-Based Model Selection (2002) (111)
Vector quantization with complexity costs (1993) (110)
Neuron geometry extraction by perceptual grouping in ssTEM images (2010) (108)
Speech Enhancement Using Generative Dictionary Learning (2012) (104)
Learning with constrained and unlabelled data (2005) (101)
Size and distortion invariant object recognition by hierarchical graph matching (1990) (100)
Automatic Human Sleep Stage Scoring Using Deep Neural Networks (2018) (95)
Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts (2014) (94)
Histogram clustering for unsupervised image segmentation (1999) (94)
Variational Federated Multi-Task Learning (2019) (94)
Regression DCM for fMRI (2017) (93)
Clustering with the Connectivity Kernel (2003) (91)
A probabilistic approach to hybrid role mining (2009) (89)
Histogram clustering for unsupervised segmentation and image retrieval (1999) (89)
Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI (2013) (87)
Noise-driven temporal association in neural networks (1987) (85)
Learning the Compositional Nature of Visual Object Categories for Recognition (2010) (83)
Complexity Optimized Data Clustering by Competitive Neural Networks (1993) (82)
On Spatial Quantization of Color Images (1998) (81)
Data clustering and learning (1998) (79)
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images (2015) (79)
Path Based Pairwise Data Clustering with Application to Texture Segmentation (2001) (79)
Semi-supervised LC/MS alignment for differential proteomics (2006) (78)
Fully automatic stitching and distortion correction of transmission electron microscope images. (2010) (76)
The Binormal Assumption on Precision-Recall Curves (2010) (75)
Performance Prediction Challenge (2006) (75)
Going Metric: Denoising Pairwise Data (2002) (75)
On the definition of role mining (2010) (74)
Prediction of colorectal cancer diagnosis based on circulating plasma proteins (2015) (74)
Support vector machines for land usage classification in Landsat TM imagery (1999) (71)
Active Data Clustering (1997) (71)
Unsupervised modeling of cell morphology dynamics for time-lapse microscopy (2012) (71)
A Seven-Marker Signature and Clinical Outcome in Malignant Melanoma: A Large-Scale Tissue-Microarray Study with Two Independent Patient Cohorts (2012) (70)
Speech enhancement with sparse coding in learned dictionaries (2010) (69)
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves (2019) (68)
Data visualization by multidimensional scaling: a deterministic annealing approach (1996) (67)
A generative model of whole-brain effective connectivity (2018) (67)
On the information and representation of non-Euclidean pairwise data (2006) (65)
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks (2014) (64)
A class of probabilistic models for role engineering (2008) (64)
Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients (2008) (63)
Learning the Compositional Nature of Visual Objects (2007) (61)
TMARKER: A free software toolkit for histopathological cell counting and staining estimation (2013) (60)
Information theoretic model validation for clustering (2010) (58)
Model Order Selection and Cue Combination for Image Segmentation (2006) (56)
Multidimensional Scaling by Deterministic Annealing (1997) (54)
Continuous DR-submodular Maximization: Structure and Algorithms (2017) (53)
A model-based approach to predicting graduate-level performance using indicators of undergraduate-level performance (2015) (53)
A workflow to increase the detection rate of proteins from unsequenced organisms in high‐throughput proteomics experiments (2007) (51)
Automatic cardiac RV segmentation using semantic information with graph cuts (2013) (50)
Multidimensional Scaling and Data Clustering (1994) (50)
A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes (2012) (49)
Automatic single cell segmentation on highly multiplexed tissue images (2015) (49)
Classification of brain MRI with big data and deep 3D convolutional neural networks (2018) (49)
Near-optimal experimental design for model selection in systems biology (2013) (48)
Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera (2009) (48)
Regularizing phase-based stereo (1996) (47)
Learning Compositional Categorization Models (2006) (47)
Computational modeling for assessment of IBD: To be or not to be? (2012) (47)
Correlated random features for fast semi-supervised learning (2013) (46)
Competitive learning algorithms for robust vector quantization (1998) (44)
Fast and Robust Least Squares Estimation in Corrupted Linear Models (2014) (44)
Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease (2013) (43)
Learning Dictionaries With Bounded Self-Coherence (2012) (43)
Role Mining with Probabilistic Models (2012) (43)
Entropy and Margin Maximization for Structured Output Learning (2010) (42)
Model-based feature construction for multivariate decoding (2011) (42)
Fusion of Similarity Data in Clustering (2005) (41)
Scalable Variational Inference for Dynamical Systems (2017) (41)
Introduction to the special issue on neural networks for data mining and knowledge discovery (2000) (40)
Active learning based segmentation of Crohns disease from abdominal MRI (2016) (39)
Coupled Clustering: A Method for Detecting Structural Correspondence (2001) (39)
Influence of noise on the function of a “physiological” neural network (1987) (39)
Image recognition: visual grouping, recognition, and learning. (1999) (39)
Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections (2012) (39)
Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data (2010) (38)
Detection of Urothelial Bladder Cancer Cells in Voided Urine Can Be Improved by a Combination of Cytology and Standardized Microsatellite Analysis (2009) (37)
A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure (2013) (37)
Unsupervised segmentation of textured images by pairwise data clustering (1996) (37)
Cardiac LV and RV Segmentation Using Mutual Context Information (2012) (37)
Parametric Distributional Clustering for Image Segmentation (2002) (37)
A field of experts model for optic cup and disc segmentation from retinal fundus images (2015) (36)
Smooth Image Segmentation by Nonparametric Bayesian Inference (2006) (36)
Variational Bayesian mixed-effects inference for classification studies (2013) (36)
Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations (2015) (36)
Active learning based segmentation of Crohn's disease using principles of visual saliency (2014) (36)
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species (2019) (34)
Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts (2013) (34)
Dithered Color Quantization (1998) (34)
PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra (2007) (34)
Classification of Multi-labeled Data: A Generative Approach (2008) (33)
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs (2018) (32)
Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features (2013) (32)
Combining partitions by probabilistic label aggregation (2005) (32)
Visual Saliency Based Active Learning for Prostate MRI Segmentation (2015) (32)
Is There an Association Between Pain and Magnetic Resonance Imaging Parameters in Patients With Lumbar Spinal Stenosis? (2016) (31)
Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome (2015) (31)
Nonnegative CCA for Audiovisual Source Separation (2007) (30)
Information Theoretic Model Validation for Spectral Clustering (2012) (29)
Empirical Risk Approximation: An Induction Principle for Unsupervised Learning (1998) (29)
Time-series alignment by non-negative multiple generalized canonical correlation analysis (2007) (29)
Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI (2013) (29)
Deterministic Annealing for Unsupervised Texture Segmentation (1997) (29)
A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images (2013) (29)
Multiscale annealing for real-time unsupervised texture segmentation (1997) (28)
Multiscale Annealing for Grouping and Unsupervised Texture Segmentation (1999) (28)
Object recognition with Gabor functions in the dynamic link architecture (1992) (28)
Image Segmentation by Networks of Spiking Neurons (2005) (28)
Crohn's disease segmentation from MRI using learned image priors (2015) (26)
On learning texture edge detectors (2000) (26)
A maximum entropy approach to pairwise data clustering (1994) (26)
Robust Image Segmentation Using Resampling and Shape Constraints (2007) (26)
Bayesian mixed-effects inference on classification performance in hierarchical data sets (2012) (26)
Active learning for hierarchical pairwise data clustering (2000) (26)
Predicting Graduate-level Performance from Undergraduate Achievements (2011) (25)
Object Categorization by Compositional Graphical Models (2005) (25)
Obtaining Consensus Annotations For Retinal Image Segmentation Using Random Forest And Graph Cuts (2015) (25)
Disentangled State Space Representations (2019) (25)
Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity (2016) (25)
Generic Comparison of Protein Inference Engines* (2011) (23)
An optimization approach to unsupervised hierarchical texture segmentation (1997) (23)
Optimized expected information gain for nonlinear dynamical systems (2009) (22)
A minimum entropy approach to adaptive image polygonization (2003) (22)
Robust optimization in the presence of uncertainty (2013) (22)
Computing with Arrays of Coupled Oscillators (1990) (22)
Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina (1993) (22)
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma (2010) (22)
Spanning Tree Approximations for Conditional Random Fields (2009) (21)
Transformation-Invariant Convolutional Jungles (2015) (21)
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference (2019) (20)
Ellipsoidal Multiple Instance Learning (2013) (20)
Model Selection for Gaussian Process Regression (2017) (20)
Learning Top-Down Grouping of Compositional Hierarchies for Recognition (2006) (19)
Scalable Adaptive Stochastic Optimization Using Random Projections (2016) (19)
Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization (1998) (19)
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data (2002) (18)
Convolutional Decision Trees for Feature Learning and Segmentation (2014) (18)
Selecting the rank of truncated SVD by maximum approximation capacity (2011) (18)
The Minimum Transfer Cost Principle for Model-Order Selection (2011) (18)
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation (2014) (18)
Stable Bayesian Parameter Estimation for Biological Dynamical Systems (2009) (18)
PerformancePrediction Challenge (2006) (17)
Proteome coverage prediction with infinite Markov models (2009) (17)
Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma (2008) (17)
Boundary-constrained agglomerative segmentation (2004) (16)
Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference (2018) (16)
Information Theoretic Model Selection for Pattern Analysis (2011) (16)
Generative Aging Of Brain MRI For Early Prediction Of MCI-AD Conversion (2019) (16)
Semiautomatic Assessment of the Terminal Ileum and Colon in Patients with Crohn Disease Using MRI (the VIGOR++ Project). (2018) (16)
Denoising and Dimension Reduction in Feature Space (2006) (16)
Context Sensitive Information: Model Validation by Information Theory (2011) (15)
Modeling Engagement Dynamics in Spelling Learning (2011) (15)
Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains (2013) (15)
Rapid and reversible control of human metabolism by individual sleep states. (2021) (15)
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms (2017) (15)
Probabilistic image registration and anomaly detection by nonlinear warping (2008) (15)
Associative recognition and storage in a model network of physiological neurons (1986) (15)
Complexity optimized vector quantization: a neural network approach (1992) (15)
Visual saliency-based active learning for prostate magnetic resonance imaging segmentation (2016) (14)
Storing sequences of biased patterns in neural networks with stochastic dynamics (1988) (14)
The information content in sorting algorithms (2012) (14)
Unsupervised Learning without Overfitting: Empirical Risk Approximation as an Induction Principle for Reliable Clustering (1999) (14)
Region-based motion compensated 3D-wavelet transform coding of video (1997) (14)
Real-time phase-based stereo for a mobile robot (1996) (13)
Inversion of hierarchical Bayesian models using Gaussian processes (2015) (13)
Continuous Submodular Function Maximization (2020) (12)
The Noisy Euclidean Traveling Salesman Problem and Learning (2001) (12)
Data-driven fiber tractography with neural networks (2018) (12)
Multi-Organ Cancer Classification and Survival Analysis (2016) (11)
Data Resampling for Path Based Clustering (2002) (11)
How informative are Minimum Spanning Tree algorithms? (2014) (11)
SAR images as mixtures of Gaussian mixtures (2005) (11)
A Compositionally Architecture for Perceptual Feature Grouping (2003) (11)
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer (2010) (11)
A New Contour-Based Approach to Object Recognition for Assembly Line Robots (2001) (11)
Influence of noise on the behavior of an autoassociative neural network (1987) (10)
Combined color and texture segmentation by parametric distributional clustering (2002) (10)
Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression (2019) (10)
A Deterministic Annealing Framework for Unsupervised Texture Segmentation (1996) (10)
Central and Pairwise Data Clustering by Competitive Neural Networks (1993) (10)
Structure Identification by Optimized Interventions (2009) (10)
Oscillatory associative memories (1998) (10)
Oxygen supply maps for hypoxic microenvironment visualization in prostate cancer (2016) (10)
Robust optimization in the presence of uncertainty: A generic approach (2017) (10)
An Annealed "Neural Gas" Network for Robust Vector Quantization (1996) (10)
Proteome Coverage Prediction for Integrated Proteomics Datasets (2010) (10)
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling (2021) (9)
Kernel Expansion for Online Preference Tracking (2008) (9)
A high-throughput metabolomics method to predict high concentration cytotoxicity of drugs from low concentration profiles (2012) (9)
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis (1997) (9)
Patents pending. (2011) (9)
Randomized Tree Ensembles for Object Detection in Computational Pathology (2009) (9)
Fully Automatic Registration of Electron Microscopy Images with High and Low Resolution (2007) (9)
Inferring Hierarchical Clustering Structures by Deterministic Annealing (1996) (8)
Deterministic Annealing: Fast Physical Heuristics for Real–Time Optimization of Large Systems (2007) (8)
Inter-active learning of randomized tree ensembles for object detection (2009) (8)
Model Selection in Clustering by Uniform Convergence Bounds (1999) (8)
SIMBAD: Emergence of Pattern Similarity (2013) (8)
Semi-supervised Image Segmentation by Parametric Distributional Clustering (2003) (8)
Greedy MaxCut algorithms and their information content (2015) (8)
Assessment of Artificial Intelligence in Echocardiography Diagnostics in Differentiating Takotsubo Syndrome From Myocardial Infarction. (2022) (7)
Manifold regularization for semi-supervised sequential learning (2009) (7)
Unsupervised Learning for Robust Texture Segmentation (1998) (7)
Correction to "Pairwise Data Clustering by Deterministic Annealing" (1997) (7)
Music preference learning with partial information (2008) (7)
Optimization in the presence of uncertainty (2012) (7)
Free Energy Rates for a Class of Very Noisy Optimization Problems (2014) (7)
Instance Segmentation for the Quantification of Microplastic Fiber Images (2020) (6)
Single-class Support Vector Machines (1999) (6)
Pairwise Data Clustering (1997) (6)
Video coding by region-based motion compensation and spatio-temporal wavelet transform (1997) (6)
Model Selection for Gaussian Process Regression by Approximation Set Coding (2016) (6)
Efficient and Flexible Inference for Stochastic Systems (2017) (6)
Information-theoretic analysis of MaxCut algorithms (2016) (5)
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models (2020) (5)
Contextual classification by entropy-based polygonization (2001) (5)
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem (2020) (5)
Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography (2020) (5)
Adaptive bandwidth selection for biomarker discovery in mass spectrometry (2009) (5)
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography (2020) (5)
Robust vector quantization by competitive learning (1997) (5)
Exact Recovery for a Family of Community-Detection Generative Models (2019) (5)
Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue (2009) (5)
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information (2006) (5)
Compositional Object Recognition, Segmentation, and Tracking in Video (2007) (5)
Empirical risk approximation : A statistical learning theory of data clustering (1998) (4)
Shape constrained image segmentation by parametric distributional clustering (2004) (4)
Sparse feature selection by information theory (2014) (4)
Posterior agreement for large parameter-rich optimization problems (2018) (4)
Discrete Mixture Models for Unsupervised Image Segmentation (1998) (4)
Semi-automatic Crohn's Disease Severity Estimation on MR Imaging (2014) (4)
DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds (2020) (4)
A New Adaptive Algorithm for the Polygonization of Noisy Imagery (2001) (4)
Sound Field Indicators for Hearing Activity and Reverberation Time Estimation in Hearing Instruments (2010) (3)
Approximate Sorting of Preference Data (2011) (3)
Selecting the rank of SVD by Maximum Approximation Capacity (2011) (3)
Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization (2019) (3)
Improving 1-year mortality prediction in ACS patients using machine learning. (2021) (3)
Model-Based Clustering of Inhomogeneous Paired Comparison Data (2011) (3)
Prognostic value of inflammatory biomarkers and GRACE score for cardiac death and acute kidney injury after acute coronary syndromes. (2021) (3)
Basic Principles of Annealing for Large Scale Non-Linear Optimization (2001) (3)
Agnostic Domain Adaptation (2011) (3)
Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments (2019) (3)
Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography (2019) (3)
Self-organized Clustering of Mixture Models for Combined Color And Texture Segmentation (2002) (3)
Bayesian Order-Adaptive Clustering for Video Segmentation (2007) (3)
Pipeline validation for connectivity-based cortex parcellation (2018) (2)
Recovery of a Planted k-Densest Sub-Hypergraph (2020) (2)
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs (2022) (2)
A Silicon Retina for Face Recognition (1993) (2)
Constrained Maximization of Lattice Submodular Functions (2020) (2)
Automatic Detection of Learnability under Unreliable and Sparse User Feedback (2008) (2)
Superslicing frame restoration for anisotropic sstem (2014) (2)
Cancer genetics-guided discovery of serum biomarker signatures for prostate cancer. (2010) (2)
Phase Transitions in Parameter Rich Optimization Problems (2017) (2)
MRI-Based Surgical Planning for Lumbar Spinal Stenosis (2017) (2)
Physicists Explore Human and Artificial Intelligence (1986) (1)
MASSIVELY PARALLEL ARCHITECTURE FOR AN UNSUPERVISED SEGMENTATION MODEL (2005) (1)
Gated Domain Units for Multi-source Domain Generalization (2022) (1)
Proteome coverage prediction with variants of the Chinese restaurant process construction (2010) (1)
Free Energy Asymptotics for Problems with Weak Solution Dependencies (2018) (1)
Information theoretic model selection in clustering (2009) (1)
Self-supervised representation learning for surgical activity recognition (2021) (1)
A Physiological Neural Network as an Autoassociative Memory (1986) (1)
Multiscale Annealing and Robustness: Fast Heuristics for Large Scale Non-linear Optimization (2001) (1)
Structure Preserving Embedding of Dissimilarity Data (2013) (1)
Visualizing Group Structure (1998) (1)
Method for operating a hearing aid (2008) (1)
Regularized online learning of pseudometrics (2010) (1)
Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle (2022) (1)
Dense Stereo by Triangular Meshing and Cross Validation (2006) (1)
Information-Theoretic Validation of Clustering Algorithms (2015) (1)
Learning Long-Term Crop Management Strategies with CyclesGym (2022) (1)
Natural age-related sleep-wake alterations onset prematurely in the Tg2576 mouse model of Alzheimer’s disease (2021) (1)
Asymptotic analysis of estimators on multi-label data (2015) (1)
Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma (2013) (1)
On maximum-likelihood estimation in the all-or-nothing regime (2021) (1)
Artificial intelligence in echocardiography diagnostics – detection of takotsubo syndrome (2020) (1)
DISENTANGLED STATE SPACE MODELS: UNSUPER- (2019) (0)
Approximate Sorting (2013) (0)
Bayesian inversion of dynamic causal models using Gaussian processes (2013) (0)
Kernel-Based Grouping of Histogram Data (2007) (0)
Correction to "Pairwise Data Clustering by (1997) (0)
Inference Principles and Model Selection (Dagstuhl Seminar 01301) (2021) (0)
Final Report: WP4-Imposing geometricity on non-geometric similarities (embedding) (2011) (0)
How to Enable Uncertainty Estimation in Proximal Policy Optimization (2022) (0)
Invariant pattern recognition by means of fast synaptic plasticity (1988) (0)
Computational Design of Informative Experiments in Systems Biology (2014) (0)
Unsupervised mitral valve segmentation in echocardiography with neural network matrix factorization. (2019) (0)
SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data (2015) (0)
Extracting the Measurement Information Core for Model Selection of Dynamical Systems (2009) (0)
Breakout Session Report: Learning and Perceptual Organization (2000) (0)
A Validation Criterion for a Class of Combinatorial Optimization Problems via Helmholtz Free Energy and its Asymptotics (2015) (0)
Detection and Segmentation of Crohn's Disease: Relevance in a Clinical Scenario (2013) (0)
A high-throughput metabolomics method to predict high concentration cytotoxicity of drugs from low concentration profiles (2011) (0)
VIRTUAL GASTROINTESTINAL TRACT VIGOR + + D 4 . 2 Modeling and Classification Toolbox 2 (2012) (0)
Information-based parcellation of diffusion tractograms applied to the anterior prefrontal cortex (2016) (0)
Complex Statistical Models for Object Recognition and Mass Spectrometry (2007) (0)
Textual and Visual for Content-based Image Re- 5.2 Data Preparation 5.3 Query Processing 5.3.2 Subquery Processing 4.1 Webssql Syntax Query := Select Targetattr from Tablelist Where Conditions] With-size Size] (2000) (0)
Abstracts of Keynote Lectures (2013) (0)
Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions (2006) (0)
Density Estimation of Initial Conditions for Populations of Dynamical Systems PASCAL 2008 Workshop on Approximate Inference in Stochastic Processes and Dynamical Systems (2008) (0)
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning (2022) (0)
On Learning Optimal Texture Edge Detectors. (2000) (0)
A Minimum Entropy Approach to (2003) (0)
Structure learning and the generalization capacity of algorithms (2011) (0)
Asymptotic analysis of estimators on multi-label data (2014) (0)
Unsupervised Learning (Dagstuhl Seminar 99121) (2021) (0)
Inference Principles and Model Selection (2001) (0)
Supplementary Information: Ellipsoidal Multiple Instance Learning (2002) (0)
P6246Machine learning for improving risk stratification after ACS (2018) (0)
3400Neutrophil count and neutrophil/lymphocyte ratio predict cardiac death and acute kidney injury after acute coronary syndromes independently from smoking status (2018) (0)
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation (2021) (0)
Clustering Principles and Empirical Risk Approximation (2001) (0)
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence (2022) (0)
Inferring Non-linear State Dynamics using Gaussian Processes (2016) (0)
A method for compression of data (2000) (0)
Regularized Data Fusion Improves Image Segmentation (2007) (0)
Weakly supervised inference of personalized heart meshes based on echocardiography videos (2022) (0)
TRANSACTIONS AREA EDITORS (2004) (0)
APPROXIMATION SET CODING FOR INFORMATION THEORETIC MODEL VALIDATION (2012) (0)
The Value of QEEG Prefrontal Theta Cordance in the Prediction of Response to Various Antidepressants (2019) (0)
Theoretical Foundations of Computer Vision: Evaluation and Validation of Computer Vision Algorithms and Methods (2008) (0)
Clustering in Computer Vision and Data Analysis (2004) (0)
Semi-Automatic Prostate Segmentation Using Semi-supervised And Active Learning (2014) (0)
Bayesian global optimization for neuroimaging (2012) (0)
Model Validation by Information Theory (2011) (0)
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings (2022) (0)
Volume 87A, Number 10, October 2015 Table of Contents (2015) (0)
On the Optimal Number of Clusters in Histogram Clustering (2002) (0)
A New Distance Measure for Probabilistic Shape Modeling (2003) (0)
Robust Algorithmics : A Foundation for Science ? ! (2019) (0)
Mean-Field Variational Inference for Gradient Matching with Gaussian Processes (2016) (0)
Natural Age-Related Slow-Wave Sleep Alterations Onset Prematurely in the Tg2576 Mouse Model of Alzheimer’s Disease (2022) (0)
Keynote Speakers (2021) (0)
VIS Capstone Address : Can I believe what I see?-Information theoretic algorithm validation (2018) (0)
Appreciation to IJCV Reviewers (2012) (0)

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