Joachim M. Buhmann
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Joachim M. Buhmanncomputer-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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Why Is Joachim M. Buhmann Influential?
(Suggest an Edit or Addition)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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