yusuke1997/dblp-id-title huggingface dataset:
Machine Discovery Based on the Co-occurrence of References in a Search Engine
MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data
A Strong Relevant Logic Model of Epistemic Processes in Schientific Discovery
The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining
Differential Equation Discovery of Robotic Swarm as Active Matter
Learning the Causal Structure of Overlapping Variable Sets
Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction
Ensemble Diversity in Evolving Data Streams
Active Learning for High Throughput Screening
Exploring the Intricacies of Neural Network Optimization
Discovery of Web Communities Based on the Co-Occurence of References
Incremental Update of Locally Optimal Classification Rules
Reducing the Dimensions of Attributes by Selection and Aggregation
Unsupervised Spam Detection by Document Complexity Estimation
Assisting Scientific Discovery with an Adaptive Problem Solver
Exploring Recommendations Attacks Through Blind Optimization
Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project
AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification
Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior
An Appropriate Abstraction for an Attribute-Oriented Induction
Discovery of Parameters for Animation of Midge Swarms
Predicting User Dropout from Their Online Learning Behavior
Predictive Inference Model of the Physical Environment that Emulates Predictive Coding
An Artificial Experimenter for Enzymatic Response Characterisation
Discovery of Differential Equations Using Probabilistic Grammars
Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN
DHT Facilitated Web Service Discovery Incorporating Semantic Annotation
No Sentiment is an Island - Sentiment Classification on Medical Forums
SA-Optimized Multiple View Smooth Polyhedron Representation NN
Discovery Science, 10th International Conference, DS 2007, Sendai, Japan, October 1-4, 2007, Proceedings
A Framework for Human-Centered Exploration of Complex Event Log Graphs
Visualizing Semantic Clusters in the Internet Information Space
Discovery Science, 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001, Proceedings
ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis
Integrating Information Visualization and Retrieval for Discovering Internet Sources
Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier
Image Analysis for Detecting Faulty Spots from Microarray Images
Soft Threshold Constraints for Pattern Mining
Geometric Clustering Models in Feature Space
Practical Algorithms for Pattern Based Linear Regression
Discovering Characteristic Expressions from Literary Works: A New Text Analysis Method beyond N-Gram Statistics and KWIC
TextMatcher: Cross-Attentional Neural Network to Compare Image and Text
A General Theory of Deduction, Induction, and Learning
Moving Object Recognition Using Wavelets and Learning of Eigenspaces
Why Text Segment Classification Based on Part of Speech Feature Selection
Discovering Conceptual Differences among People from Cases
Providing Concise Database Covers Instantly by Recursive Tile Sampling
Enhancing SVM with Visualization.
Speeding Up and Boosting Diverse Density Learning
Quantifying Attraction to Extreme Opinions in Online Debates
T-REX: A Framework to Build Trustworthy Recommenders of Evidence Explanation
Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach
An Experimental Agricultural Data Mining System
Resampling-Based Framework for Estimating Node Centrality of Large Social Network
Discovery Science, First International Conference, DS '98, Fukuoka, Japan, December 14-16, 1998, Proceedings
Random Forests for Heteroscedastic Data
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem
VADA: A Data-Driven Simulator for Nanopore Sequencing
Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification
Discovery and Deduction
Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs
GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy
A Survey of Association-Rule Mining
Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation
Change Point Detection for Information Diffusion Tree
Derivation of the Topology Structure from Massive Graph Data
Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data
Sparse Robust Regression for Explaining Classifiers
Failure Prediction - An Application in the Railway Industry
Finding Topic-Specific Trends and Influential Users in Social Networks
Predicting Drugs Adverse Side-Effects Using a Recommender-System
Explaining Urban Vehicle Emissions in Rome
Combining Multiple K-Nearest Neighbor Classifiers for Text Classification by Reducts
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers
Unsupervised Graph Neural Networks for Source Code Similarity Detection
Utility vs Usability: Towards a Search for Balance in Subgroup Discovery Problems
An Integrated Framework for Extended Discovery in Particle Physics
Mechanisms of Self-Organized Renormalizability
On Using Temporal Networks to Analyze User Preferences Dynamics
Learning Model Trees from Data Streams
crowww Classification and Retrieval on WWW
Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms
LGEM + : A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction
A Dynamic Programming Algorithm for Learning Chain Event Graphs
Integer Linear Programming Models for Constrained Clustering
Leveraging Time-Aware Causal Algorithmic Recourse for Promoting Fairness⋆
Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection
The Melting Pot of Automated Discovery: Principles for a New Science
From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter
The Computer-Aided Discovery of Scientific Knowledge
An Efficient Algorithm for Enumerating Chordless Cycles and Chordless Paths
From Ensemble Methods to Comprehensible Models
Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool
A Theoretical Study on Variable Ordering of Zero-Suppressed BDDs for Representing Frequent Itemsets
MORE-PLR: Multi-Output Regression Employed for Partial Label Ranking
Exploring the Design Space of Fair Tree Learning Algorithms
A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structure
A Methodology for Mining Document-Enriched Heterogeneous Information Networks
Positivism Against Constructivism: A Network Game to Learn Epistemology
An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
Modelling Soil Radon Concentration for Earthquake Prediction
Predicting Ramp Events with a Stream-Based HMM Framework
A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation
Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models
On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble
Collaborative Hypothesis Testing Processes by Interactive Production Systems
Personalized multiclass stress and cognitive load detection
Model Tree Ensembles for Modeling Dynamic Systems
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains
Mathematical Models of Category-Based Induction
Declarative Pattern Mining in Network Security
Reducing Trials by Thinning-Out in Skill Discovery
A Unifying Approach to HTML Wrapper Representation and Learning
On Aggregation in Ensembles of Multilabel Classifiers
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
Extending Redescription Mining to Multiple Views
Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results
Predicting Rice Phenotypes with Meta-learning
Mining Classification Rules without Support: an Anti-monotone Property of Jaccard Measure
Unlearning Spurious Correlations in Chest X-Ray Classification
Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009
Adaptive Isolation Forest
Effects of Unreliable Group Profiling by Means of Data Mining
Exploring Label Correlations for Quantification of ICD Codes
Computational Characteristics of Law Discovery Using Neural Networks
Designing Views in HypothesisCreator: System for Assisting in Discovery
Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming
Probabilistic Scoring Lists for Interpretable Machine Learning
Residuals for Equation Discovery
Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection
Fast Progressive Training of Mixture Models for Model Selection
Jaccard-Constrained Dense Subgraph Discovery
TDDA, a Data Mining Tool for Text Databases: A Case History in a Lung Cancer Text Database
Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes
Extracting Minimal and Closed Monotone DNF Formulas
Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification
Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss
Multi-fairness Under Class-Imbalance
Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions
Mining for 4ft Association Rules
Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function
Attackers Strike Back? Not Anymore - An Ensemble of RL Defenders Awakens for APT Detection
SCOOP: A Record Extractor without Knowledge on Input
On Selection Bias with Imbalanced Classes
A Trim Distance between Positions in Nucleotide Sequences
Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints
Mining Semi-structured Data by Path Expressions
Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and St. Matthew Island
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks
Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations
EDC: Equation Discovery for Classification
Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers
Semantic Enrichment of Explanations of AI Models for Healthcare
Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets
Structure Discovery from Massive Spatial Data Sets Using Intelligent Simulation Tools
Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns
Enhancing Industrial Control Systems Security: Real-Time Anomaly Detection with Uncertainty Estimation
Unsupervised Classifier Selection Based on Two-Sample Test
Structure-Attribute Similarity Interplay in Diffusion Dynamics on Social Networks
Detection of Periodical Patterns and Contextual Anomalies in Data Streams
Min-Hashing for Probabilistic Frequent Subtree Feature Spaces
Explaining the Chronological Attribution of Greek Papyri Images
Semantic Data Mining of Financial News Articles
The Role of Choice in Discovery
Hyperlink Prediction in Hypernetworks Using Latent Social Features
Fusion Techniques for Named Entity Recognition and Word Sense Induction and Disambiguation
Ensemble of Counterfactual Explainers
Feature Selection in Taxonomies with Applications to Paleontology
Classification of Changing Regions Based on Temporal Context in Local Spatial Association
Knowledge Discovery Through Composited Visualization, Navigation and Retrieval
Active Contours as Knowledge Discovery Methods
Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
Enhancing Patent Expertise through Automatic Matching with Scientific Papers
Contextual Ontological Concepts Extraction
Graph-Based Induction for General Graph Structured Data
Sentiment Nowcasting During the COVID-19 Pandemic
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass
Discovering Relationships Among Catalogs
Discovery of Differential Equations from Numerical Data
Learning Deep Rule Concepts as Alternating Boolean Pattern Trees
Feature Construction and delta -Free Sets in 0/1 Samples
Federated Ensemble Regression Using Classification
Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces
Structuring Neural Networks through Bidirectional Clustering of Weights
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning
Mining Interesting Patterns in Multi-relational Data with N-ary Relationships
Context-Aware Personal Route Recognition
An Efficient Tool for Discovering Simple Combinatorial Patterns from Large Text Databases
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
Computational Lessons from a Cognitive Study of Invention
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks
Latent Embedding Based on a Transcription-Decay Decomposition of mRNA Dynamics Using Self-supervised CoxPH
An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification
Sentiment Knowledge Discovery in Twitter Streaming Data
Chaining Patterns
Mixture Models from Multiresolution 0-1 Data
Effective and Transparent Attributions for Fake News Classification and Search
Mining Class-Correlated Patterns for Sequence Labeling
Text to Time Series Representations: Towards Interpretable Predictive Models
Quantitative Revision of Scientific Models
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model
Dialectical Evidence Assembly for Discovery
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT
Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings
A Fast Heuristic for Computing Geodesic Closures in Large Networks
Computational Analysis for Discovery on the Plasma Waves Observed by Scientific Satellites
Semi-supervised Learning for Stream Recommender Systems
A Sampling-Based Approach for Discovering Subspace Clusters
Worst-Case Analysis of Rule Discovery
Knowledge Discovery from Health Data Using Weighted Aggregation Classifiers
A Simple Greedy Algorithm for Finding Functional Relations: Efficient Implementation and Average Case Anaylsis
Investigating the Hurtfulness of Misogynistic Tweets Across Professions
Play it Straight: An Intelligent Data Pruning Technique for Green-AI
Discovery of Maximal Analogies between Stories
Incremental Learning with Social Media Data to Predict Near Real-Time Events
Unsupervised Spam Detection Based on String Alienness Measures
Weakly Supervised Named Entity Recognition for Carbon Storage Using Deep Neural Networks
Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships
Integrating textual data for enhanced explanation of food crises at subnational scale
Semantic Based Real-Time Clustering for PubMed Literatures
Discovery of Salivary Gland Tumors' Biomarkers via Co-Regularized Sparse-Group Lasso
Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings
Discovery Process on the WWW: Analysis Based on a Theory of Scientific Discovery
Web Site Rating and Improvement Based on Hyperlink Structure
Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), Pisa, Italy, 14-16 October 2024
Dress-p.i.n.k.: an easy-to-use digital tool for Health Promotion and Community-Based Participatory Prevention of Breast Cancer
Mining Approximate Motifs in Time Series
Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology
Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer?
Visualization of Community Knowledge Interaction Using Associative Representation
Utilizing Hierarchies in Tree-Based Online Structured Output Prediction
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
Simplified Training Algorithms for Hierarchical Hidden Markov Models
Automatic Construction of Static Evaluation Functions for Computer Game Players
A Method for Discovering Purified Web Communities
The Emergence of Artificial Creole by the EM Algorithm
Data Mining of Generalized Association Rules Using a Method of Partial-Match Retrieval
Massive Biomedical Term Discovery
Developing a Knowledge Network of URLs
Application of Semantic Kernels to Literature-Based Gene Function Annotation
Elements of an Agile Discovery Environment
On Enumerating Frequent Closed Patterns with Key in Multi-relational Data
A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud's/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space
This Sounds Like That: Explainable Audio Classification via Prototypical Parts
DNA-Tract Curvature Profile Reconstruction: A Fragment Flipping Algorithm
SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos
H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data
Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report)
Recursive Extraction of Modular Structure from Layered Neural Networks Using Variational Bayes Method
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19
Scheduled Discovery of Exception Rules
Topology Preserving SOM with Transductive Confidence Machine
Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data
Purifying Adversarial Examples Using an Autoencoder
STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals
Instance Guided Rule Induction
Optimizing Classroom Assignments to Reduce Non-essential Interactions Among University-Level Students During Pandemics
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining
Asset Subsets Identification via Investment Universe Complex Network
Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis
A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications
Predictive Graph Mining
Learning Qualitative Models of Physical and Biological Systems
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning
Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction
Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts
Link Prediction on the Semantic MEDLINE Network - An Approach to Literature-Based Discovery
Ensemble Clustering for Novelty Detection in Data Streams
Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders
Discovering Most Classificatory Patterns for Very Expressive Pattern Classes
Erratum: Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project
Ensemble-Based Feature Ranking for Semi-supervised Classification
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity
Process Mining: Discovering Direct Successors in Process Logs
Wind Power Forecasting Using Time Series Cluster Analysis
Discovering Poetic Allusion in Anthologies of Classical Japanese Poems
A Useful System Prototype for Intrusion Detection - Architecture and Experiments
Computational Discovery of Scientific Knowledge, Introduction, Techniques, and Applications in Environmental and Life Sciences
What's Real News Today? A Multimodal, Continual-Learning Approach for Detecting Fake News Over Time
Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland
A Comparison of Community Detection Algorithms on Artificial Networks
L2loRe: a method for explaining the reject option
Predicting Age from Human Lung Tissue Through Multi-modal Data Integration
On Classification and Regression
Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype
Discovering Frequent Substructures in Large Unordered Trees
FedGES: A Federated Learning Approach for Bayesian Network Structure Learning
Elastic Product Quantization for Time Series
Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning
Iranian Architectural Styles Recognition Using Image Processing and Deep Learning
Discovery of Unknown Causes from Unexpected Co-occurrence of Inferred Known Causes
When Correlation Clustering Meets Fairness Constraints
Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees
Spatial Cross-Validation for Globally Distributed Data
Algorithm for Detecting Significant Locations from Raw GPS Data
Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
Subgroup Discovery among Personal Homepages
Revising Qualitative Models of Gene Regulation
On the Completion of the Most Specific Hypothesis Computation in Inverse Entailment for Mutual Recursion
Strategic Decision-Making in Trauma Systems
Inferring a Rewriting System from Examples
Community Detection in Edge-Labeled Graphs
Schema Design for Causal Law Mining from Incomplete Database
Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases
Formal Logics of Discovery and Hypothesis Formation by Machine
Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach
Classiying Scenarios Using Belief Decision Trees
Neuron-Level Architecture Search for Efficient Model Design
A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning
Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting
Monotone Instance Ranking with mira
Virtual Integration of Distributed Database by Multiple Agents
Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML
Scalable Detection of Frequent Substrings by Grammar-Based Compression
Accelerating Computation of Distance Based Centrality Measures for Spatial Networks
Discovery Science - 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings
Graph Clustering Based on Optimization of a Macroscopic Structure of Clusters
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema
An Experiment with Association Rules and Classification: Post-Bagging and Conviction
Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations
Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA)
Parallel Induction Algorithms for Large Samples
Multi-directional Rule Set Learning
Discovery Science, 6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings
Hyperparameter Importance for Image Classification by Residual Neural Networks