yusuke1997/dblp-id-title huggingface dataset:
Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization
Explainable and Efficient Link Prediction in Real-World Network Data
Meta-learning and Data Augmentation for Stress Testing Forecasting Models
MCut: A Thresholding Strategy for Multi-label Classification
Exploratory Topic Modeling with Distributional Semantics
Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability
Online Subband Blind Source Separation for Convolutive Mixtures Using a Uniform Filter Bank with Critical Sampling
Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
Learning to Answer Emails
Efficient Subgroup Discovery Through Auto-Encoding
Efficient Lookahead Decision Trees
Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions
Advances in Intelligent Data Analysis XXIII - 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7-9, 2025, Proceedings
Intelligent Structural Damage Detection: A Federated Learning Approach
Audio Watermark Detection Using Undetermined ICA
Diagnosis of Tank Ballast Systems
The Biases of Decision Tree Pruning Strategies
Intelligent Support for Multidimensional Data Analysis in Environmental Epidemiology
On IIR Filters and Convergence Acceleration for Convolutive Blind Source Separation
Active Hidden Markov Models for Information Extraction
Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs
Atrial Activity Extraction Based on Statistical and Spectral Features
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
How to Find Big-Oh in Your Data Set (and How Not to)
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery
Multiple Prototype Model for Fuzzy Clustering
Suitability of Different Metric Choices for Concept Drift Detection
Modeling Stationary Data by a Class of Generalized Ornstein-Uhlenbeck Processes: The Gaussian Case
Estimating the Learning Capacity of Bacterial Metabolic Networks
Simulation of Scientific Experiments with Generative Models
An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time
Measures of Rule Quality for Feature Selection in Text Categorization
InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance
Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization
Integration and Dissemination of Citizen Reported and Seismically Derived Earthquake Information via Social Network Technologies
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I
The When and How of Target Variable Transformations
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data
Online Non-linear Gradient Boosting in Multi-latent Spaces
Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings
Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning
Mining Representative Frequent Patterns in a Hierarchy of Contexts
Combining and Comparing Cluster Methods in a Receptor Database
Reliable Hierarchical Clustering with the Self-organizing Map
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
Privacy-Awareness of Distributed Data Clustering Algorithms Revisited
Computer-Assisted Classification of Legal Abstracts
Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture
Continuous and Discrete Deep Classifiers for Data Integration
RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data
Detecting Shifts in Public Opinion: A Big Data Study of Global News Content
Intelligent Data Analysis of Intelligent Systems
Exploiting Data Missingness in Bayesian Network Modeling
Measure of Similarity and Compactness in Competitive Space
A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis
Event Recognition Based on Classification of Generated Image Captions
Interpretable Neuron Structuring with Graph Spectral Regularization
Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features
BOWSA: A Contribution of Sensitivity Analysis to Improve Bayesian Optimization for Parameter Tuning
Data-Driven Theory Refinement Using KBDistAl
An Empirical Comparison of Pruning Methods for Ensemble Classifiers
Data Quality through Model Checking Techniques
Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation
iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning
Unit Operational Pattern Analysis and Forecasting Using EMD and SSA for Industrial Systems
Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware
Novelty Detection in Projected Spaces for Structural Health Monitoring
Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels
KAPMiner: Mining Ordered Association Rules with Constraints
Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories
Learning from the News: Predicting Entity Popularity on Twitter
Removing Statistical Biases in Unsupervised Sequence Learning
Evaluation of CNN Performance in Semantically Relevant Latent Spaces
Monitoring Concept Drift in Continuous Federated Learning Platforms
Bisociative Discovery of Interesting Relations between Domains
Measurement and Dynamical Analysis of Computer Performance Data
Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks
Predictive Clustering Trees for Hierarchical Multi-Target Regression
Actionable Subgroup Discovery and Urban Farm Optimization
Biclustering Multivariate Time Series
Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction
Diffusion Transport Alignment
Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method
Fact Checking from Natural Text with Probabilistic Soft Logic
An Approach to Controlling the Runtime for Search Based Modularisation of Sequential Source Code Check-ins
Multi-Optimisation Consensus Clustering
Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, Amsterdam, The Netherlands, August 1999, Proceedings
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies
Multi-scale Kernel PCA and Its Application to Curvelet-Based Feature Extraction for Mammographic Mass Characterization
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
An Intelligent Decision Support Model for Aviation Weather Forcasting
GloNets: Globally Connected Neural Networks
Detection and Multi-label Classification of Bats
Intelligent Data Analysis by a Home-Use Human Monitoring Robot
Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market
Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines
Similarity Based Classification
Evaluating an Eye Screening Test
Functional Trees for Regression
A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets
Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors
Managing Dialogue in a Statistical Expert Assistant with a Cluster-Based User Model
Data Quality in NLP: Metrics and a Comprehensive Taxonomy
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots
Aleatoric and Epistemic Uncertainty with Random Forests
A Remark on Concept Drift for Dependent Data
Local Subgroup Discovery on Attributed Network Graphs
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives
Genetic Fuzzy Clustering by Means of Discovering Membership Functions
Efficient Privacy Preserving Distributed K-Means for Non-IID Data
A First Step Toward Quantifying the Climate's Information Production over the Last 68, 000 Years
Imposing Constraints in Probabilistic Circuits via Gradient Optimization
Online Techniques for Dealing with Concept Drift in Process Mining
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks
Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix
Addressing the Resolution Limit and the Field of View Limit in Community Mining
A Two-Step Approach for Explainable Relation Extraction
Navigation for Data Analysis Systems
Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules
Automated Detection of Influenza Epidemics with Hidden Markov Models
Automatic Layout Design Solution
Arabica: Robust ICA in a Pipeline
Intelligent Text Analysis for Dynamically Maintaining and Updating Domain Knowledge Bases
Relevance-Aware Algorithmic Recourse
Human-to-AI Coach: Improving Human Inputs to AI Systems
A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization
Balancing Performance and Scalability of Demand Forecasting ML Models
Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers
Mining Train Delays
Detecting and Describing Patterns in Time-Varying Data Using Wavelets
Variational Perspective on Fair Edge Prediction
Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data
RNA-Sequence-Structure Properties and Selenocysteine Insertion
When Does Active Learning Work?
Online Writing Data Representation: A Graph Theory Approach
ICA-Based Method for Quantifying EEG Event-Related Desynchronization
Efficient Vertical Mining of Frequent Closures and Generators
Conditional Classification Trees Using Instrumental Variables
T-DANTE: Detecting Group Behaviour in Spatio-Temporal Trajectories Using Context Information
Weakly-Supervised Symptom Recognition for Rare Diseases in Biomedical Text
FCLib: A Library for Building Data Analysis and Data Discovery Tools
Complete Blind Subspace Deconvolution
A Method for Filter Shaping in Convolutive Blind Source Separation
Image Coding and Compression with Sparse 3D Discrete Cosine Transform
User Authentication via Multifaceted Mouse Movements and Outlier Exposure
Collaboration-Based Function Prediction in Protein-Protein Interaction Networks
Building Brownian Bridges to Learn Dynamic Author Representations from Texts
Resampling-Based Change Point Estimation
Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism
Investigating the Relation Between Problem Hardness and QUBO Properties
Interval Estimation Naïve Bayes
Detection of Derivative Discontinuities in Observational Data
End-to-End Support for Dating Paleolandforms
Link Prediction in Multi-layer Networks and Its Application to Drug Design
Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation
Estimating Markov Random Field Potentials for Natural Images
Exploring the Geometry and Topology of Neural Network Loss Landscapes
Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
1d-SAX: A Novel Symbolic Representation for Time Series
A Late-Fusion Approach to Community Detection in Attributed Networks
On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation
Stability Evaluation of Event Detection Techniques for Twitter
Online Predictive Model for Taxi Services
Communities of Interest
On Compositionality in Data Embedding
Discovering Diverse Top-K Characteristic Lists
Oblique Linear Tree
Feature Characterization in Scientific Datasets
On Binary Reduction of Large-Scale Multiclass Classification Problems
Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis
Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases
Shapley Values with Uncertain Value Functions
Underdetermined BSS of MISO OSTBC Signals
Blind Order Detection and Parameter Estimation of MISO-FIR Channels
Bayesian Network Classifiers for Time-Series Microarray Data
BSS-Based Feature Extraction for Skin Lesion Image Classification
Active Feature Selection Based on a Very Limited Number of Entities
Synthetic Tabular Data Detection in the Wild
Using CAPTCHAs to Index Cultural Artifacts
Condensed Nearest Neighbor Data Domain Description
Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
Assembly Detection in Continuous Neural Spike Train Data
Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification
Detection of Large Language Model Contamination with Tabular Data
On Initializations for the Minkowski Weighted K-Means
Fuzzy Clustering Based Segmentation of Time-Series
Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling
Feature Selection as Retrospective Pruning in Hierarchical Clustering
Ising-Based Consensus Clustering on Specialized Hardware
Mining Clusters with Association Rules
Learning Elements of Representations for Redescribing Robot Experiences
Expertise Prediction of Tetris Players Using Eye Tracking Information
Intelligent Data Analysis: Keeping Pace with Technological Advances
Use of General Purpose GPU Programming to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images
From Theoretical Learnability to Statistical Measures of the Learnable
Automatically Detecting Political Viewpoints in Norwegian Text
Digital Footprints of International Migration on Twitter
Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System
Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis
Parametric Nonlinear Regression Models for Dike Monitoring Systems
Online Influence Forest for Streaming Anomaly Detection
Bayesian Robust PCA for Incomplete Data
Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data
Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings
The Algorithm APT to Classify in Concurrence of Latency and Drift
Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages
A Combined Approach to Uncertain Data Analysis
Application of Two Time-Domain Convolutive Blind Source Separation Algorithms to the 2008 Signal Separation Evaluation Campaign (SiSEC) Data
Malware Phylogenetics Based on the Multiview Graphical Lasso
MAMBO: Discovering Association Rules Based on Conditional Independencies
Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings
Undoing Statistical Advice
Dual Sequential Variational Autoencoders for Fraud Detection
Preventing Churn in Telecommunications: The Forgotten Network
Incremental Bayesian Network Learning for Scalable Feature Selection
Detection of Contextual Anomalies in Attributed Graphs
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
Fuzzy Frequent Pattern Mining in Spike Trains
Visualizing Sets of Partial Rankings
A New Way to Aggregate Preferences: Application to Eurovision Song Contests
Miner Ants Colony: A New Approach to Solve a Mine Planning Problem
COBRAS: Interactive Clustering with Pairwise Queries
Extracting Information in a Low-Resource Setting: Case Study on Bioinformatics Workflows
An Implementation of Floral Scent Recognition System Using ICA Combined with Correlation Coefficients
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors
A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis
Methodological Foundation for Sign Language 3D Motion Trajectory Analysis
Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection
Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features
Improvement on Estimating Quantiles in Finite Population Using Indirect Methods of Estimation
SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints
Forming Categories in Exploratory Data Analysis and Data Mining
Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings
Revisiting Non-specific Syndromic Surveillance
A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks
Combining Bagging and Random Subspaces to Create Better Ensembles
Correcting the Usage of the Hoeffding Inequality in Stream Mining
Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis
Bipartite Graphs for Monitoring Clusters Transitions
Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging
The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases
Localization of Generalized Discharge Sources in Patients with Juvenile Myoclonic Epilepsy Using Independent Components Analysis
Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks
Hierarchical Novelty Detection
Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?
Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices
Image Source Separation Using Color Channel Dependencies
Robustness of Clustering under Outliers
Make Literature-Based Discovery Great Again Through Reproducible Pipelines
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set
Prototype-Based Classification of Dissimilarity Data
Closed Set Based Discovery of Representative Association Rules
Stationary Subspace Analysis
A Support Vector Machine Approach to Dutch Part-of-Speech Tagging
A Parallel Distributed Processing Algorithm for Image Feature Extraction
Discovering Motifs with Variants in Music Databases
Adaptive Information Filtering Algorithms
Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm
A Data-Driven Paradigm to Understand Multimodal Communication in Human-Human and Human-Robot Interaction
Bi-stochastic Matrix Approximation Framework for Data Co-clustering
Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings
Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data
Hyperspherical Weight Uncertainty in Neural Networks
Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages
An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering
Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings
A Method for Temporal Knowledge Conversion
Keystroke Analysis of Different Languages: A Case Study
GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
Independent Component Analysis (ICA) Using Pearsonian Density Function
Gradient Ascent for Best Response Regression
Learning about the Learning Process
Computational Topology Techniques for Characterizing Time-Series Data
Data Analytics and Optimisation for Assessing a Ride Sharing System
SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI
Source Separation of Phase-Locked Subspaces
Transductive Reliability Estimation for Kernel Based Classifiers
A First-Order-Logic Based Model for Grounded Language Learning
Optimal Performance of Second-Order Multidimensional ICA
Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams
Generating Fuzzy Summaries from Fuzzy Multidimensional Databases
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces
On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings
Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting
Fuzzy Logic Based Gait Classification for Hemiplegic Patients
Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games
Identification of Bilingual Segments for Translation Generation
Decomposition of Quantitative Gaifman Graphs as a Data Analysis Tool
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning
Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?
DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images
Tensor Completion Post-Correction
Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software
Time Frequency Masking Strategy for Blind Source Separation of Acoustic Signals Based on Optimally-Modified LOG-Spectral Amplitude Estimator
Adversarial Attacks Hidden in Plain Sight
Intra-Firm Information Flow: A Content-Structure Perspective
Interactive Discovery of Interesting Subgroup Sets
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data
Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining
Semi-supervised Text Classification Using RBF Networks
Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings
Geolet: An Interpretable Model for Trajectory Classification
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction
The BANG-Clustering System: Grid-Based Data Analysis
Obtaining Quality Microarray Data via Image Reconstruction
Compression Technique Preserving Correlations of a Multivariate Temporal Sequence
A Systematic Description of Greedy Optimisation Algorithms for Cost Sensitive Generalisation
Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing
Qualitative Uncertainty Models from Random Set Theory
Behavioral Clustering for Point Processes
Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks
ICA Mixture Modeling for the Classification of Materials in Impact-Echo Testing
Non-negative Local Sparse Coding for Subspace Clustering
LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models
Feature Discovery in Classification Problems
DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs
Gibbs Sampling Subjectively Interesting Tiles
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
Reasoning about Outliers by Modelling Noisy Data
Analysis of Feature Rankings for Classification
Amplified Contribution Analysis for Federated Learning
ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection
Graph Clustering by Maximizing Statistical Association Measures
Model-Based Time Series Classification
Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings
Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings
Obtaining Example-Based Explanations from Deep Neural Networks
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data
An ICA-Based Method for Blind Source Separation in Sparse Domains
Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles
High-Energy Particles Online Discriminators Based on Nonlinear Independent Components