yusuke1997/dblp-id-title huggingface dataset:
A Labelled Graph Based Multiple Classifier System
Ensemble Construction via Designed Output Distortion
Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective
Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks
Semi-supervised Co-update of Multiple Matchers
Ensemble Based Data Fusion for Gene Function Prediction
Building Classifier Ensembles for Automatic Sports Classification
Kernel Combination Versus Classifier Combination
Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps
Biometric Person Authentication Is a Multiple Classifier Problem
New Measure of Classifier Dependency in Multiple Classifier Systems
Multiple Classifier Systems for the Recogonition of Human Emotions
Ensemble Learning Methods for Classifying EEG Signals
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data
Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers
Anomaly Detection Using Ensembles
Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image
An Improved Random Subspace Method and Its Application to EEG Signal Classification
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement
Binary Classifier Fusion Based on the Basic Decomposition Methods
Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours
Fractional Programming Weighted Decoding for Error-Correcting Output Codes
Using an Ensemble of Classifiers to Audit a Production Classifier
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
A Bayesian Approach for Combining Ensembles of GP Classifiers
View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition
Multiple Classifier Methods for Offline Handwritten Text Line Recognition
A New Perspective of Support Vector Clustering with Boundary Patterns
A New Dynamic Ensemble Selection Method for Numeral Recognition
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments
The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles
Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells
Selecting Diversifying Heuristics for Cluster Ensembles
Calibrating AdaBoost for Asymmetric Learning
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion
An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems
Methods for Designing Multiple Classifier Systems
Can Diversity amongst Learners Improve Online Object Tracking?
The "Test and Select" Approach to Ensemble Combination
Stable L2-Regularized Ensemble Feature Weighting
Influence of Hyperparameters on Random Forest Accuracy
An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles
A Double Pruning Algorithm for Classification Ensembles
Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate
Ensemble of Feature Chains for Anomaly Detection
Experiments with Classifier Combining Rules
When Semi-supervised Learning Meets Ensemble Learning
Dynamic Classifier Selection
Naïve Bayes Ensembles with a Random Oracle
Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems
Least Squares and Estimation Measures via Error Correcting Output Code
On Combining Dissimilarity Representations
Multi-class Boosting with Class Hierarchies
Design and Evaluation of an Adaptive Combination Framework for OCR Result Strings
Selective Ensemble of Classifier Chains
Self-Organizing Decomposition of Functions in the Context of a Unified Framework for Multiple Classifier Systems
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
Multi-category Classification by Soft-Max Combination of Binary Classifiers
Multiple Classifier Systems - 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings
Sharing Training Patterns among Multiple Classifiers
On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles
A Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers
A Hybrid Projection Based and Radial Basis Function Architecture
Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings
Decoding Rules for Error Correcting Output Code Ensembles
Introducing the Separability Matrix for Error Correcting Output Codes Coding
Multiple Classifiers for Graph of Words Embedding
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers
Recoding Error-Correcting Output Codes
Weighted Bagging for Graph Based One-Class Classifiers
A Modular System for the Classification of Time Series Data
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
Spectral Measure for Multi-class Problems
Criteria Ensembles in Feature Selection
Towards a Framework for Designing Full Model Selection and Optimization Systems
Increase the Security of Multibiometric Systems by Incorporating a Spoofing Detection Algorithm in the Fusion Mechanism
Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection
Beam Search Extraction and Forgetting Strategies on Shared Ensembles
Classifier Combining Rules Under Independence Assumptions
On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers
Information Theoretic Combination of Classifiers with Application to AdaBoost
Feature Weighted Ensemble Classifiers - A Modified Decision Scheme
Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation
Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity
Ensemble Methods for Noise Elimination in Classification Problems
Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting
Optimal Mean-Precision Classifier
Analyzing the Relationship between Diversity and Evidential Fusion Accuracy
Boosting GMM and Its Two Applications
Data Complexity Analysis for Classifier Combination
Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification
New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization
Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings
Boosting, Bagging, and Consensus Based Classification of Multisource Remote Sensing Data
Multiple Classifier Systems, Second International Workshop, MCS 2001 Cambridge, UK, July 2-4, 2001, Proceedings
A Hierarchical Ensemble Method for DAG-Structured Taxonomies
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions
Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting
Negative Correlation Learning and the Ambiguity Family of Ensemble Methods
Multiclassifier Systems: Back to the Future
Cooperative Coevolutionary Ensemble Learning
Ensembles of Decision Trees for Imbalanced Data
Content-Based Classification of Digital Photos
The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation
A Comparison of Ensemble Creation Techniques
Ensembles of Classifiers from Spatially Disjoint Data
Simulating Classifier Outputs for Evaluating Parallel Combination Methods
Applying Data Fusion Methods to Passage Retrieval in QAS
Applying Boosting to Similarity Literals for Time Series Classification
Ensemble Learning with Biased Classifiers: The Triskel Algorithm
A Mathematically Rigorous Foundation for Supervised Learning
On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data
An Experimental Study on Ensembles of Functional Trees
"Good" and "Bad" Diversity in Majority Vote Ensembles
Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification
An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble
Deriving the Kernel from Training Data
Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors
A New Ensemble Diversity Measure Applied to Thinning Ensembles
A Dynamic Logistic Multiple Classifier System for Online Classification
Mixing a Symbolic and a Subsymbolic Expert to Improve Carcinogenicity Prediction of Aromatic Compounds
Q - stack : Uni- and Multimodal Classifier Stacking with Quality Measures
Relationship of Sum and Vote Fusion Strategies
Combining Feature Subsets in Feature Selection
ECOC Matrix Pruning Using Accuracy Information
Dynamic Integration of Regression Models
Bagging Decision Multi-trees
Online Non-stationary Boosting
Analysis of a Fusion Method for Combining Marginal Classifiers
Tomographic Considerations in Ensemble Bias/Variance Decomposition
On Deriving the Second-Stage Training Set for Trainable Combiners
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
Multiple Classifier Systems, 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings
A Directed Inference Approach towards Multi-class Multi-model Fusion
First Experiments on Ensembles of Radial Basis Functions
Diversity-Based Classifier Selection for Adaptive Object Tracking
Distributed Pasting of Small Votes
Architecture for Classifier Combination Using Entropy Measures
A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks
Cohort Based Approach to Multiexpert Class Verification
Ant Clustering Using Ensembles of Partitions
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers
Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach
Ensembles of One Class Support Vector Machines
Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation
Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets
AveBoost2: Boosting for Noisy Data
Randomized Bayesian Network Classifiers
Target Identification from High Resolution Remote Sensing Image by Combining Multiple Classifiers
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition
Combining Multiple Modes of Information Using Unsupervised Neural Classifiers
A Study of Ensemble of Hybrid Networks with Strong Regularization
A Probability Model for Combining Ranks
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse
Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation
Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation
Beyond Boosting: Recursive ECOC Learning Machines
Regularized Linear Models in Stacked Generalization
Genetic Programming for Improved Receiver Operating Characteristics
Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition
Suboptimal Graph Edit Distance Based on Sorted Local Assignments
Solar Wind Data Analysis Using Self-Organizing Hierarchical Neural Network Classifiers
Maximum Membership Scale Selection
Optimal Classifier Combination Rules for Verification and Identification Systems
On Rejecting Unreliably Classified Patterns
The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion
Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification
Learning Classification RBF Networks by Boosting
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification
Classifier Combination as a Tomographic Process
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
Kalman Filter Based Classifier Fusion for Affective State Recognition
Performance Degradation in Boosting
Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems
Automatic Model Selection in a Hybrid Perceptron/Radial Network
Combining Supervised Remote Sensing Image Classifiers Based on Individual Class Performances
Multiple Classifier Systems under Attack
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data
EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks
Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System
Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks
Highlighting Hard Patterns via AdaBoost Weights Evolution
Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors
Semi-supervised Multiple Classifier Systems: Background and Research Directions
Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting
A Study of Random Linear Oracle Ensembles
Sequential Classifier Combination for Pattern Recognition in Wireless Sensor Networks
Unsupervised Texture Segmentation Using Multiple Segmenters Strategy
Combined Classification of Handwritten Digits Using the 'Virtual Test Sample Method'
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples
Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition
On the Combination of Different Template Matching Strategies for Fast Face Detection
Multiple Classifier Systems Based on Interpretable Linear Classifiers
Transfer Learning with Part-Based Ensembles
Classifier Selection Approaches for Multi-label Problems
Multiple Classifiers System for Reducing Influences of Atypical Observations
Neural Net Ensembles for Lithology Recognition
Combining Fisher Linear Discriminants for Dissimilarity Representations
Multiple Classifier Combination Methodologies for Different Output Levels
Hierarchical Ensemble Support Cluster Machine
Combining One-Class Classifiers
Designing Multiple Classifier Systems for Face Recognition
Network Intrusion Detection by a Multi-stage Classification System
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers
Instance-Based Decompositions of Error Correcting Output Codes
Classifier Instability and Partitioning
Multiple Classifier Systems - 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings
A Multi-expert System for Movie Segmentation
A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition
Learn++.MT: A New Approach to Incremental Learning
A Geometric Approach to Face Detector Combining
A Multi-expert System for Dynamic Signature Verification
Multiple Classifier Systems, 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings
Exact Bagging with k-Nearest Neighbour Classifiers
A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets
Multiple Classification Systems in the Context of Feature Extraction and Selection
Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models
Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis
Limiting the Number of Trees in Random Forests
Genetic Algorithms for Multi-classifier System Configuration: A Case Study in Character Recognition
Hierarchical Behavior Knowledge Space
Selective Clustering Ensemble Based on Covariance
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains
A Modular Neuro-Fuzzy Network for Musical Instruments Classification
Types of Multinet System
Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra
Incremental Learning of Variable Rate Concept Drift
Improved Uniformity Enforcement in Stochastic Discrimination
One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time
Bagging and the Random Subspace Method for Redundant Feature Spaces
Using Independence Assumption to Improve Multimodal Biometric Fusion
Pruning Bagging Ensembles with Metalearning
Combining Multiple Classifiers in Probabilistic Neural Networks
Stacking with Multi-response Model Trees
Boosted Geometry-Based Ensembles
An Ensemble Approach for Data Fusion with Learn++
Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database
A Method for Designing Cost-Sensitive ECOC
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation
A Generic Sensor Fusion Problem: Classification and Function Estimation
Use of Positional Information in Sequence Alignment for Multiple Classifier Combination
Measuring the Stability of Feature Selection with Applications to Ensemble Methods
The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns
Dynamic Ensemble Selection for Off-Line Signature Verification
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers
Towards Automated Classifier Combination for Pattern Recognition
Combining Fingerprint Classifiers
A Multi-SVM Classification System
Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems
Learning to Rank with Nonlinear Monotonic Ensemble
A Co-training Approach for Time Series Prediction with Missing Data
CLOOSTING: CLustering Data with bOOSTING
Group-Induced Vector Spaces
Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination
Boosting with Averaged Weight Vectors
Combining Instance Information to Classify Bags
Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding
A Robust Multiple Classifier System for a Partially Unsupervised Updating of Land-Cover Maps
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy
Soft-Voting Clustering Ensemble
Keyframe interpolation with self-collision avoidance
Details and Implementation Issues of Animating Brachiation
Real-Time Animation of Human Hair Modeled in Strips
Practical experience in the physical animation and destruction of trees
Dynamic analysis of human walking
The Process of Motion Capture: Dealing with the Data
Guiding and Interacting with Virtual Crowds
Interactive Solid Animation Using Linearized Displacement Constraints
A Model of Human Crowd Behavior : Group Inter-Relationship and Collision Detection Analysis
ACE: A Platform for the Real Time Simulation of Virtual Human Agents
Building Layered Animation Models from Captured Data
A Parametric Tongue Model for Animated Speech
An Accurate Model of Wave Refraction Over Shallow Water
An Alternative Inter-Particle Force Model for Coupled System Flexible Body Dynamics
Assisted Articulation of Closed Polygonal Models
A Low Bit-rate Web-enabled Synthetic Head with Speech-driven Facial Animation
Using Cartesian Product for Animation
Animation Levels of Detail Design for Real-Time Virtual Human
Interactive display and animation of B-spline solids as muscle shape primitives
Tracking and Modifying Upper-body Human Motion Data with Dynamic Simulation
Simulation of Skin Aging and Wrinkles with Cosmetics Insight
Proceedings of the Eurographics Workshop on Computer Animation and Simulation 2000, Interlaken, Switzerland, August 21-22, 2000
Proceedings of the Eurographics Workshop on Computer Animation and Simulation 1999, Milan, Italy, September 7-8, 1999
A Physics Based Multi-Resolution Model for the Simulation of Turbulent Gases and Combustion
Continuous learning in a behavioral animation
Controlling Anisotropy in Mass-Spring Systems
Visual Model of Plant Development with Respect to Influence of Light
Realistic Deformation of Human Body Shapes
Implicit-Explicit Schemes for Fast Animation with Particle Systems
Speech Driven Facial Animation
The Kernel of a Scenario Language for Animation and Simulation
A New Interface Paradigm for Motion Capture Based Animation Systems
The Effects of Noise on the Perception of Animated Human Running
STIGMA: a 4-dimensional modeller for animation
Qualitative Simulation of Convective Cloud Formation and Evolution
Pro-actively Interactive Evolution for Computer Animation
Proceedings of the Eurographics Workshop on Computer Animation and Simulation 1998, Lisbon, Portugal, August 31 - September 1, 1998
Requirements for an Architecture for Embodied Conversational Characters
A Dynamic Light Sources Algorithm for Radiosity Environments
Simulating Landslides for Natural Disaster Prevention
Heuristical Real-Time Shadows
Reconstruction and Physically-based Animation of Trees from Static Images
Modeling Objects for Interaction Tasks
Simple Machines for Scaling Human Motion
Collision and self-collision handling in cloth model dedicated to design garments
From Psychological and Real-Time Interaction Requirements to Behavioural Simulation
Proceedings of the Eurographics Workshop on Computer Animation and Simulation 1997, Budapest, Hungary, September 2-3, 1997
Physically-based Wrinkle Simulation & Skin Rendering
A phenomenological model of coastal scenes based on physical considerations
Interactive Hair Styler based on Fluid Flow
Motion Tracking with Dynamic Simulation
REACT: REal-time Adaptive Collision Testing An Interactive Vision approach
Sensor Modeling for a Walking Robot Simulation
MPEG-4 based animation with face feature tracking
A Model of Collision Perception for Real-Time Animation
Interactive multiresolution animation of deformable models
Animation and Simulation Techniques for VR-Training Systems in Endoscopic Surgery
Identification of Motion Models for Living Beings
A Grasp-based Motion Planning Algorithm for Character Animation
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
Clearing secondary spectrum market with spatio-temporal partitioning
Hierarchical prior zero-forcing for cognitive relaying
An Optimized Move List for DPA in CBRS
A Machine Learning Algorithm for Unlicensed LTE and WiFi Spectrum Sharing
Predictive Modeling of LTE User Throughput Via Crowd-Sourced Mobile Spectrum Data
Coordinated dynamic spectrum management of LTE-U and Wi-Fi networks
Measurement procedures for design and enforcement of harm claim thresholds
Secure Spectrum Sharing in MIMO-NOMA
Demo: Device-free Activity Monitoring Through Real-time Analysis on Prevalent WiFi Signals
Regulating Freeriding in Inter-Operator Spectrum Sharing
Impact of model uncertainties on quantitative evaluation of interference risks
Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic
Deep architectures for modulation recognition
Analysing Wi-Fi/LTE coexistence to demonstrate the value of risk-informed interference assessment
ReVeal: A Physics-Informed Neural Network for High-Fidelity Radio Environment Mapping
Software-defined Local 6G Campus Testbed for Democratizing 6G Innovations
Policy driven multi-band spectrum aggregation for ultra-broadband wireless networks
CSERE (Cognitive System Enabling Radio Evolution): A modular and user-friendly cognitive engine