yusuke1997/dblp-id-title huggingface dataset:
Parallel Induction Algorithms for Data Mining
Spotting the Diffusion of New Psychoactive Substances over the Internet
Over-Fitting in Model Selection and Its Avoidance
S+t-SNE - Bringing Dimensionality Reduction to Data Streams
Meta-Reasoning for Data Analysis Tool Allocation
Discriminative Dimensionality Reduction Mappings
Large Scale Mining of Molecular Fragments with Wildcards
Similarity-Based Neural Networks for Applications in Computational Molecular Biology
Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage
Selecting Outstanding Patterns Based on Their Neighbourhood
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification
A Consensus Approach to Improve NMF Document Clustering
Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation
Self-poised Ensemble Learning
Should We Consider On-Demand Analysis in Scale-Free Networks?
What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier
Using Domain Specific Knowledge for Automated Modeling
A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages
Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables
A Frank System for Co-Evolutionary Hybrid Decision-Making
Finding the Intrinsic Patterns in a Collection of Time Series
Using Entropy as a Measure of Acceptance for Multi-label Classification
Towards Data Science Design Patterns
Integrating Declarative Knowledge in Hierarchical Clustering Tasks
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
Blind Separation of Cyclostationary Signals
Learning Permutation-Invariant Embeddings for Description Logic Concepts
dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images
Automatically Discovering Offensive Patterns in Soccer Match Data
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
Improving Prediction with Causal Probabilistic Variables
The Other Side of Compression: Measuring Bias in Pruned Transformers
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation
Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks
Decomposition of Heterogeneous Classification Problems
ICA by Maximizing Non-stability
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
Towards Automatic Pathway Generation from Biological Full-Text Publications
On Usefulness of Outlier Elimination in Classification Tasks
Reasoning about Sensor Data for Automated System Identification
Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures
Intelligent Data Analysis of Human Genetic Data
Evaluation of Association Rule Quality Measures through Feature Extraction
The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction
Oracle Coached Decision Trees and Lists
A Robust and Precise Solution to Permutation Indeterminacy and Complex Scaling Ambiguity in BSS-Based Blind MIMO-OFDM Receiver
Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder
Improving Cold-Start Recommendations with Social-Media Trends and Reputations
A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-Centric Models and the MDL Principle
Self-supervised Siamese Autoencoders
Multiclass Learning from Multiple Uncertain Annotations
Regularization Methods for Additive Models
The IDA'01 Robot Data Challenge
MDP-based Itinerary Recommendation using Geo-Tagged Social Media
Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events
Time Series Classification with Representation Ensembles
Building Classes in Object-Based Languages by Automatic Clustering
A Connectionist Approach to the Distance-Based Analysis of Relational Data
VAE-CE: Visual Contrastive Explanation Using Disentangled VAEs
Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm
Nonmetric Multidimensional Scaling with Neural Networks
On the Relationships between MMSE and Information-Theoretic-Based Blind Criterion for Minimum BER Filtering
Beyond Words: A Comparative Analysis of LLM Embeddings for Effective Clustering
Estimating Squared-Loss Mutual Information for Independent Component Analysis
Independent Component Analysis and Signal Separation, 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings
Detecting Leukaemia (AML) Blood Cells Using Cellular Automata and Heuristic Search
Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields
Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors
A Constrained Declarative Based Approach for Explainable Clustering
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
Image Denoising Using Sparse Representations
Constraint-Based Querying for Bayesian Network Exploration
Pruning for Monotone Classification Trees
A Structural-Clustering Based Active Learning for Graph Neural Networks
Knowledge Discovery in Endgame Databases
Bisociative Knowledge Discovery
Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures
Extending the SOM Algorithm to Visualize Word Relationships
Supervised Phrase-Boundary Embeddings
Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold
Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML
Deterministic Finite Automata in the Detection of EEG Spikes and Seizures
Subgraph Mining for Graph Neural Networks
On the Use of the GTM Algorithm for Mode Detection
MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data
Dropping Incomplete Records is (not so) Straightforward
Segmentation of Natural and Man-Made Structures by Independent Component Analysis
Combining Bayesian Networks with Higher-Order Data Representations
A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics
Bayesian Solutions to the Label Switching Problem
Efficient NAS with FaDE on Hierarchical Spaces
Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets
Detecting Groups of Anomalously Similar Objects in Large Data Sets
A Comparison of Genetic Programming Variants for Data Classification
Diversity-Driven Widening of Hierarchical Agglomerative Clustering
Overfitting in Combined Algorithm Selection and Hyperparameter Optimization
Node Classification in Random Trees
A Connectionist Approach to Extracting Knowledge from Databases
Knowledge-Based Visualization to Support Spatial Data Mining
Similarity Kernels for Nearest Neighbor-Based Outlier Detection
Mixtures of Gamma Priors for Non-negative Matrix Factorization Based Speech Separation
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors
Statistical Modelling for Data from Experiments with Short Hairpin RNAs
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Adaptive Lightweight Text Filtering
The Optimistic Method for Model Estimation
Isotonic Classification Trees
ConvoMap: Using Convolution to Order Boolean Data
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure
Online Evaluation of Email Streaming Classifiers Using GNUsmail
Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study
Towards Comprehensive Concept Description Based on Association Rules
Transferable Deep Metric Learning for Clustering
GASTeN: Generative Adversarial Stress Test Networks
Improving Next Tokens via Second-to-Last Predictions with Generate and Refine
Natural Language Analysis of Online Health Forums
Learning Label Preferences: Ranking Error Versus Position Error
Credal Knowledge Tracing for Imprecise and Uncertain MCQ
Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering
Exploring Hierarchical Rule Systems in Parallel Coordinates
Visual Perception of Discriminative Landmarks in Classified Time Series
Fast Simultaneous Clustering and Feature Selection for Binary Data
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics
Active Selection of Classification Features
The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction
Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code 'Ripples'
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining
Implementing Deep Learning Models for Imminent Component X Failures Prediction in Heavy-Duty Scania Trucks
Learning Curve Extrapolation Methods Across Extrapolation Settings
A "Top-Down and Prune" Induction Scheme for Constrained Decision Committees
Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction
Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA
Quantifying Changes in Predictions of Classification Models for Data Streams
Does SVM Really Scale Up to Large Bag of Words Feature Spaces?
A Strategy for Increasing the Efficiency of Rule Discovery in Data Mining
Adaptive Learning from Evolving Data Streams
Advances in Intelligent Data Analysis, Reasoning about Data, Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings
Target Speech Enhancement in Presence of Jammer and Diffuse Background Noise
ART-Based Neural Networks for Multi-label Classification
Generating Automated News to Explain the Meaning of Sensor Data
Real-Time Excavation Detection at Construction Sites using Deep Learning
Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior
Self-Supervised Chinese Word Segmentation
Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code
Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings
Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors
Simple, Efficient and Convenient Decentralized Multi-task Learning for Neural Networks
Fast Algorithm Selection Using Learning Curves
Narrow-Band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals
Parallel Data Mining Revisited. Better, Not Faster
Soft Topographic Map for Clustering and Classification of Bacteria
Probabilistic Latent Clustering of Device Usage
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
Graphical Feature Selection for Multilabel Classification Tasks
Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models
Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead
Exploiting Symbolic Learning in Visual Inspection
Predicting Computer Performance Dynamics
A New Framework to Assess Association Rules
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification
Missing Data Imputation via Denoising Autoencoders: The Untold Story
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs
Combining Pairwise Classifiers with Stacking
Solving Classification Problems Using Infix Form Genetic Programming
ERMiner: Sequential Rule Mining Using Equivalence Classes
Interactive Pattern Sampling for Characterizing Unlabeled Data
Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios
Multi-user Diverse Recommendations through Greedy Vertex-Angle Maximization
Accurate Visual Features for Automatic Tag Correction in Videos
Droplet Ensemble Learning on Drifting Data Streams
Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval
Non-independent BSS: A Model for Evoked MEG Signals with Controllable Dependencies
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
Extracting Moore Machines from Transformers Using Queries and Counterexamples
Overlapping Hierarchical Clustering (OHC)
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
Unsupervised Methods for the Study of Transformer Embeddings
A Toolkit for Analysis of Deep Learning Experiments
Development of a Knowledge-Driven Constructive Induction Mechanism
Data Mining with Products of Trees
Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data
A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data
Kernel K-Means for Categorical Data
Context-Based Distance Learning for Categorical Data Clustering
Gaussian Topographic Co-clustering Model
Relational Algebra for Ranked Tables with Similarities: Properties and Implementation
Kernel Corrector LSTM
Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London
Biased Embeddings from Wild Data: Measuring, Understanding and Removing
ICA with Sparse Connections: Revisited
A Structural Benchmark for Logical Argumentation Frameworks
Segregation Discovery in a Social Network of Companies
Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings
Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition
Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks
Tagging with Small Training Corpora
Pushing the Envelope in Overlapping Communities Detection
Regression Tree for Bandits Models in A/B Testing
Diversity-Driven Widening
Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel
Weighting Features for Partition around Medoids Using the Minkowski Metric
Estimating Sequence Similarity from Contig Sets
Partially Monotonic Learning for Neural Networks
Finding Frequent Patterns in Parallel Point Processes
Selective Sampling with a Hierarchical Latent Variable Model
Towards Content Sensitivity Analysis
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization
CD-MOA: Change Detection Framework for Massive Online Analysis
Development of Models to Quantify Training Load in Outdoor Running Using Inertial Sensors
Exploiting Novel Properties of Space-Filling Curves for Data Analysis
Incremental Search Space Construction for Machine Learning Pipeline Synthesis
Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm
ApiNATOMY: Towards Multiscale Views of Human Anatomy
Mill's Methods for Complete Intelligent Data Analysis
Elements of an Automatic Data Scientist
Widening for MDL-Based Retail Signature Discovery
"Seeing" Objects in Spatial Datasets
Statistical Recognition of Noun Phrases in Unrestricted Text
Reduction Stumps for Multi-class Classification
Comparing the Preservation of Network Properties by Graph Embeddings
Percolation-Based Detection of Anomalous Subgraphs in Complex Networks
Data Mining for Modeling Chiller Systems in Data Centers
Classifier Evaluation with Missing Negative Class Labels
Two-Way Grouping by One-Way Topic Models
Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia
Transfer Learning by Learning Projections from Target to Source
Modeling Concept Drift: A Probabilistic Graphical Model Based Approach
3D Grand Tour for Multidimensional Data and Clusters
Errors Detection and Correction in Large Scale Data Collecting
I-Louvain: An Attributed Graph Clustering Method
Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Saint Etienne, France, October 22-24, 2015, Proceedings
Mining the Temporal Dimension of the Information Propagation
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
The Morality Machine: Tracking Moral Values in Tweets
Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings
Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data
Condensed Representations in Presence of Missing Values
A Genetic Approach to Fuzzy Clustering with a Validity Measure Fitness Function
Blind Channel Identification in (2 ×1) Alamouti Coded Systems Based on Maximizing the Eigenvalue Spread of Cumulant Matrices
Ontology Database System and Triggers
IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures
Integrating Many Techniques for Discovering Structure in Data
Learning to Align: A Statistical Approach
Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation
Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences
A Distance-Based Method for Preference Information Retrieval in Paired Comparisons
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach
Robustness of Change Detection Algorithms
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
Analyzing Parliamentary Elections Based on Voting Advice Application Data
RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets
Learned Feature Generation for Molecules
Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches
The Analysis of Artificial Neural Network Data Models
Subjective Interestingness in Exploratory Data Mining
Reference Based Contrast Functions in a Semi-blind Context
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns
RTL: A Robust Time Series Labeling Algorithm
Modeling Conditional Distributions of Continuous Variables in Bayesian Networks
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
Topology and Intelligent Data Analysis
An Evaluation of Grading Classifiers
Network Traffic Flow Separation and Control Through a Hybrid ICA-Fuzzy Adaptive Algorithm
An Annotated Data Collection System to Support Intelligent Analysis of Intensive Care Unit Data
Comparison of Two Main Approaches to Joint SVD
Integrating Marine Species Biomass Data by Modelling Functional Knowledge
Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media
Traffic Sign Recognition Using Discriminative Local Features
Vouw: Geometric Pattern Mining Using the MDL Principle
A Stylometric Study and Assessment of Machine Translators
Modular-Relatedness for Continual Learning
Exploring the Effects of Data Distribution in Missing Data Imputation
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems
Discriminative Power of Input Features in a Fuzzy Model
Learning Multiple Temporal Matching for Time Series Classification
The Compromise of Data Privacy in Predictive Performance
Automatically Wrangling Spreadsheets into Machine Learning Data Formats
The Modelling of Glaucoma Progression through the Use of Cellular Automata
Multiplicative Updates for L 1 -Regularized Linear and Logistic Regression
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis
Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation
Improvement of the Initialization of ICA Time-Frequency Algorithms for Speech Separation
Cebysev Coefficients - Based Algorithm for Estimating the ICA Model
Super-Resolution Analysis for Landfill Waste Classification
Analysis of Noisy Biosignals for Musical Performance
Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules
Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset
Leveraging Call Center Logs for Customer Behavior Prediction
A Novel Subspace Clustering Method for Dictionary Design
Example-Based Explanations of Random Forest Predictions
Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes
Slower Can Be Faster: The iRetis Incremental Model Tree Learner
The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950
Parameter Learning in ProbLog with Annotated Disjunctions
Interpreting Longitudinal Data through Temporal Abstractions: An Application to Diabetic Patients Monitoring
Probabilistic Topic Maps: Navigating through Large Text Collections
Guided Incremental Construction of Belief Networks
SiamCircle: Trajectory Representation Learning in Free Settings
Minimum Determinant Constraint for Non-negative Matrix Factorization
Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry
Towards Automation of Topic Taxonomy Construction
avatar - Automated Feature Wrangling for Machine Learning
Numerical Attributes in Decision Trees: A Hierarchical Approach
BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis
Block Clustering of Contingency Table and Mixture Model
Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects
A Mixture Model-Based On-line CEM Algorithm
Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery
Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings
Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
Intelligent Data Analysis in the 21st Century
Adapted Deflation Approach for Referenced Contrast Optimization in Blind MIMO Convolutive Source Separation
The Need for Interpretability Biases
Limitations of the Spectrum Masking Technique for Blind Source Separation
Data Clustering in Tolerance Space
Graph Identification
SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!
Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation
Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening
Unsupervised Representation Learning for Smart Transportation
Simulation Data Analysis Using Fuzzy Graphs
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees
Bridging Spatial and Temporal Contexts: Sparse Transfer Learning
DSCo-NG: A Practical Language Modeling Approach for Time Series Classification
Robust Tree-Based Incremental Imputation Method for Data Fusion
Adjusted Estimation for the Combination of Classifiers
Anpassungsfähige Bedieneroberflächen - Möglichkeiten in der Prozeßüberwachung
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Flexibles Automatisierungssystem für eine Versuchsanlage zum Gießwalzen von Stahlband
Standardisierung von graphischen Entwurfsobjekten für die realisierungsneutrale Beschreibung von Anwenderfunktionen in offenen Automatisierungssystemen
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Das sichere Mikrorechnersystem LOGISAFE
Anthropotechnische Grundlagen der Informationsdarstellung auf prozessrechnergesteuerten Sichtgeräten
Integriete Anwendungen vo Bildverarbeitung und neuronalen Netzen zur Zeichenerkennung
Sichere Mikroprozessorsysteme für Schutzaufgaben in der Prozeßtechnik
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