yusuke1997/dblp-id-title huggingface dataset:
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel Method
Recovering Probability Distributions from Missing Data
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
Combinatorial Causal Bandits without Graph Skeleton
Scaling up Simhash
Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency
Canonical Soft Time Warping
Proceedings of The 7th Asian Conference on Machine Learning, ACML 2015, Hong Kong, November 20-22, 2015
Fairness Trade-Offs and Partial Debiasing
Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels
Quasi Newton Temporal Difference Learning
Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset
On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection
3D Manifold Topology Based Medical Image Data Augmentation
Multi-branch Siamese Network for High Performance Online Visual Tracking
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation
Collaborative Exploration in Stochastic Multi-Player Bandits
Instance Specific Discriminative Modal Pursuit: A Serialized Approach
Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation
Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition
Relation Also Need Attention: Integrating Relation Information Into Image Captioning
A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction
Sparse binary zero-sum games
When to Classify Events in Open Times Series?
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition
Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes
Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression
Layer-Wise Neural Network Compression via Layer Fusion
Non-Oblivious Performance of Random Projections
Random Fourier Features For Operator-Valued Kernels
Stock Price Prediction Using Attention-based Multi-Input LSTM
Fairness constraint of Fuzzy C-means Clustering improves clustering fairness
Generalized Aitchison Embeddings for Histograms
Constrained Implicit Learning Framework for Neural Network Sparsification
Learning Disentangled Representation in Pruning for Real-Time UAV Tracking
h-DBSCAN: A simple fast DBSCAN algorithm for big data
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Robust Scene Text Detection via Learnable Scene Transformations
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Hierarchical Global Asynchronous Federated Learning Across Multi-Center
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
The data-driven transferable adversarial space
Hyperbolic Ordinal Embedding
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift
Example or Prototype? Learning Concept-Based Explanations in Time-Series
Preference Relation-based Markov Random Fields for Recommender Systems
Deep Kernel Regression with Finite Learnable Kernels
Single Image Super-resolution Based On Non-subsampled Shearlet Transform
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm
Iterative Deep Model Compression and Acceleration in the Frequency Domain
Deep Structural Contrastive Subspace Clustering
Automatic Choice of Control Measurements
BINAS: Bilinear Interpretable Neural Architecture Search
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
Bayesian nonparametric model for arbitrary cubic partitioning
Enhancing Topic Modeling on Short Texts with Crowdsourcing
Dual Learning: Theoretical Study and an Algorithmic Extension
Capsule Networks Need an Improved Routing Algorithm
Improving Relation Classification by Entity Pair Graph
Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
Vision Transformer with High Spatial Structure Sensitivity
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders
Causal ATTention Multiple Instance Learning for Whole Slide Image Classification
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks
Non-Linear Smoothed Transductive Network Embedding with Text Information
Efficient Diversified Mini-Batch Selection using Variable High-layer Features
A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
Unified Policy Optimization for Robust Reinforcement Learning
On the Episodic Difficulty of Few-shot Learning
The Fine Print on Tempered Posteriors
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic
Bridging Code-Text Representation Gap using Explanation
Membership Inference Attacks Against Time-Series Models
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks
Cell Variational Information Bottleneck Network
Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition
Transformed Gaussian Processes for Characterizing a Model's Discrepancy
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring
Learning RBM with a DC programming Approach
Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition
Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012
Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting
Adaptive truncated residual regression for fine-grained regression problems
Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings
Open Images V5 Text Annotation and Yet Another Mask Text Spotter
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
FLVoogd: Robust And Privacy Preserving Federated Learning
Embedding Adaptation Network with Transformer for Few-Shot Action Recognition
An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network
A Faster Sampling Algorithm for Spherical k -means
KDID 2004, Knowledge Discovery in Inductive Databases, Proceedings of the Third International Workshop on Knowledge Discovery inInductive Databases, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers
A Framework for Frequent Sequence Mining under Generalized Regular Expression Constraints
Database Transposition for Constrained (Closed) Pattern Mining
Constraint Relaxations for Discovering Unknown Sequential Patterns
On Interactive Pattern Mining from Relational Databases
Queryable Lossless Log Database Compression
Theoretical Bounds on the Size of Condensed Representations
Value, Cost, and Sharing: Open Issues in Constrained Clustering
Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), Grenoble, France, September 19-23, 2022
Association Maps as Integrity Constraints in Inductive Databases
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Quick Inclusion-Exclusion
Mining and Querying in Association Rule Discovery
An Automata Approach to Pattern Collections
Data Mining in Inductive Databases
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees
Mining Correct Properties in Incomplete Databases
RAP: Framework for Mining Frequent Datalog Patterns
Shaping SQL-Based Frequent Pattern Mining Algorithms
Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs
Proceedings of the First International Workshop on Inductive Databases, 20 August 2002, Helsinki, Finland
Extracting Trees of Quantitative Serial Episodes
Mining Concepts from Large SAGE Gene Expression Matrices
Analysis of Time Series Data with Predictive Clustering Trees
Mining Bi-sets in Numerical Data
Integrating Decision Tree Learning into Inductive Databases
Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth
Mining Interesting XML-Enabled Association Rules with Templates
Experiment Databases: A Novel Methodology for Experimental Research
Constraint Based Induction of Multi-objective Regression Trees
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results
Invited talk: Logical Data Mining Query Languages
From Inductive Databases to DL8.5 (short paper)
Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers
Inductive Databases in the Relational Model: The Data as the Bridge
A Condensed Survey on Condensed Representations of Patterns
Model-independent Bounding of the Supports of Boolean Formulae in Binary Data
Exploiting Virtual Patterns for Automatically Pruning the Search Space
Towards Mining Frequent Queries in Star Schemes
MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database
Models and Indices for Integrating Unstructured Data with a Relational Database
Some Ideas on Knowledge Representation and Relations in Inductive Databases
Towards a General Framework for Data Mining
Constraint-Based Model Mining: Algorithms and Applications
Histogram-based Probabilistic Rule Lists for Numeric Targets (short paper)
New Version-Space Representations for Efficient Instance Retraction
Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets
Learning Predictive Clustering Rules
Mining Databases and Data Streams with Query Languages and Rules
An Efficient Algorithm for Mining String Databases Under Constraints
Implicit Enumeration of Patterns
Transaction Databases, Frequent Itemsets, and Their Condensed Representations
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers
Multi-class Correlated Pattern Mining
Finding All Occurring Patterns of Interest
Efficient Mining Under Rich Constraints Derived from Various Datasets
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data
Towards Optimizing Conjunctive Inductive Queries
From Inductive Databases to a Modeling Language for Pattern Mining, to a Next-Generation Library for Constraint Solving (extended abstract)
Generalized Version Space Trees
Proceedings of the Second International Workshop on Inductive Databases, 22 September, Cavtat-Dubrovnik, Croatia
Extending the Soft Constraint Based Mining Paradigm
What You Store is What You Get
Memory-Aware Frequent k -Itemset Mining
IQL: A Proposal for an Inductive Query Language
Serenade: An Approach for Differentially Private Greedy Redescription Mining
Logic and Uncertainty in Information Retrieval
Users in Context
Information Retrieval on the Web
Modeling Vagueness in Information Retrieval
Models in Information Retrieval
Getting into Information Retrieval
Lectures on Information Retrieval, Third European Summer-School, ESSIR 2000, Varenna, Italy, September 11-15, 2000, Revised Lectures
Digital Libraries and Information Retrieval
Retrieval of Still Images by Content
Indexing, Browsing, and Searching of Digital Video and Digital Audio Information
Information Retrieval and Structured Documents
Multilingual Information Access
Research on communication mechanism optimization based on distributed graph computing environment
Research on cyberspace map technology in the electric power industry
Digital Manufacturing and Management Coupling Design for Chinese Home Appliance Enterprises from the Perspective of Smart Manufacturing
Analysis of the Influencing Factors of Urban Investment Bond Credit Spreads Based on Deep Forest
The Sentiment Analysis of Small and Medium-sized Investors on the Interactive Communication Platforms Based on Deep Learning
Applying ChatGPT to improve the user experience in digital libraries
An empirical study on digitalization boosting high-quality development of Private economy A case study of Maanshan City in Yangtze River Delta Region
Forecasting Analysis of Logistics Freight Volume Based on ARIMA Model
Research of New Energy Vehicle Production Decision Making in China Based on Machine Learning
The impact of "Made in China 2025" on innovation behavior in China's manufacturing industry-Based on the perspective of systems theory
Research on Improved OLLVM Based on Code Rearrangement Architecture
Research on the Path Selection of Enterprise Digital Transformation: Evidence from Listed Companies in Zhuhai, China
Let the Olympic Wind Continue to Blow Worldwide
Generic Ontologies for Digital Watersheds
Trading Performance of an Improved PPO Algorithm in the Chinese Stock Market
Research and application of E-P model in energy management of photovoltaic silicon wafer industry
Cross-regional Power Transmission and Transformation Engineering Field Digital Transformation Management Measures
A study on life satisfaction prediction of the elderly based on SVM
Calculation and Analysis of Supermarket Data Based on the Optimization Mathematical Model
Energy Management Method based on Blockchain Technology in Data Center
Research on supply chain risk based on OWA operator and system dynamics
Recommendation of E-commerce Product Based on Knowledge Graph and Collaborative Filtering
Optimal scheduling of smart ecological park considering low-carbon ecology and biomass energy coordination
Improved PBFT consensus algorithm based on node evaluation and dynamic management
The Impact of Fiscal Expenditure on the Optimization of Industrial Structure-An Empirical Analysis Based on Data Statistics from 2006 to 2021
Chaotic time series prediction algorithm of long-term sales volume based on machine learning
The Impact of Joining the Construction of the Western Land-Sea New Corridor on the Total Factor Productivity of Enterprises in Western China
Based on LSTM thermal power enterprises monthly rolling matching trading bidding strategy
Design and application of management side service data synchronization in a dual active cloud platform scenario
The impact of Intellectual Property Rights Protection on Digital Industry Innovation
Research on the Application of computer Cloud platform Audit in the Field of Social Security funds- taking Fertility funds as an example
Design and Implementation of Health Management Information System
Gender Perspectives in Mobile UGC Webcast Video Distribution Platforms - - Based on Big Data Analysis
Design and Implementation of Software for Monitoring and Measuring Liquid Sodium Level in Metal
Research on machine learning to reduce cost and increase efficiency in factories
The Role of Innovation in Economic Growth and How Techno-logical Advancements Transform Industries and Employment
Construction and Application of Mathematical Intelligence Resource Bank of Aerobics under the Background of Healthy China
Research on market risk management of foreign exchange reserves in BRICS countries
Design and Implementation of a Low-Code Platform in the Power Sector
Understanding Tourists Relationship Quality Using a Machine Learning ApproachUnderstanding Tourists Relationship Quality
Neural Network-Based Financial Distress Prediction for Listed Companies in China
Research on Interactive Advertising Strategies Using Machine Learning Algorithms for User Behavior Analysis
Research on Key factors of Engineering project management based on T-FR-AISM-Weight
An energy consumption condition construction method based on PCA reduction and K-means clustering
Predicting Commodity Futures Prices with an Ensemble Learning Method Based on Intelligent Optimization Algorithm
Research on Internet Financial Risk Early Warning Based on BP Neural Network
Exploration of engineering technology advantage and application of prefabricated substations
Study on Carbon Emission Intensity from Digital Economy: Analysis Based on Provincial Panel Data in China
Research on Community-based Elderly Mutual Service System based on BSN Block-chain Platform
Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, BDEIM 2023, Zhengzhou, China, December 8-10, 2023
The research on a rapid verification method for malicious domain names
Application and Practice of Wisdom Office in Higher Vocational Students' Work Based on Boundary Theory
Province-level performance assessment of China's two-stage power supply system
Application of Internet of Things Technology in College Students45 Physical Health Monitoring
The Green Development of E-commerce Express Delivery by Applying System Dynamics
Relationship analysis and price prediction of supermarket vegetable based on ARIMA model
Study on Green Power Consumption Certification System under the target of carbon peak and carbon neutrality
The valuation of data assets and methods for income distribution
Fine-Tuning Instruction on Baichuan2-7b for News Topic Classification
A New Economic Evaluation Method for Big Data Technology of Power Grid Engineering in the Background of Power System Based on Network Analysis Method
Digital Platform for Sewage Treatment Plant Facility Maintenance Scheme based on BIM and IoT
Research on E-commerce Development Prediction Model based on Recurrent Neural Network
Study of the Competitive Landscape of Electricity Intellectual Property Based on Textual Analysis
The Impacts of Digital Economy on Enterprises' Market Value
Design of APS-based production planning system for automotive companies
Digital Transformation and Liquidity Creation Efficiency in Banking: Measurement and Correlation Analysis
Design and implementation of a new generation graph & model & data offline maintenance platform
Application of Data Mining in Talent Team Management System
Analysis of Eysenck personality test based on K-means clustering algorithm
Research on Intelligent Tourism of Ancient Villages under the Perspective of Artificial Intelligence- Take Guilin Yueling Village for example
Optimization of Digital Twin City Model Management Platform Data Scheduling
Research on the Design of Color Emotional Preferences in Products for Children with Autism Spectrum Disorder Based on Physiological Measurements and Random Forests
Design of key mechanisms of the electricity market system based on particle swarm algorithm optimization of important indicators
Two way auction transaction mechanism of distributed energy based on blockchain Technology
Advancing Text Analytics: Instruction Fine-Tuning of QianWen-7B for Sentiment Classification
A study on the impact of investor sentiment on corporate financial stress based on data mining
Machine learning-based analysis of factors influencing the popularity of vitamin online sales
Uav automatic spraying system based on image recognition of pests and diseases
Collaborative R&D and export performance: Empirical evidence from China's new energy vehicle industry
Heterogeneous Reactions of Investors to Social Media Discourse : Evidence from Eastmoney in China
Evaluation and Comparison of Carbon Emission Prediction Models in Industrial Parks
Coffee Bean High Accuracy Classification with eXplainable Artificial Intelligence
Research on the overall reliability of data centers
Research hotspots in the field of rehabilitation robots in the past 10 years-knowledge map analysis based on citespacee
Predictive Analysis of Innovation and Entrepreneurship Performance Indicators for Science and Technology Enterprises Based on the ABC-BP Neural Network Mode
Mathematical Model Analysis of Consumption Upgrading for High-Quality Urban-Rural Economic Development under the New Development Concept
Building an Enterprise Smart Financial and Tax System based on 'Blockchain + Big Data
Research on the Identification of Inter-Organizational Cooperative Innovation Relationships in the Chip Field based on Link Prediction in Multilayer Networks
Research on Countermeasures and Simulation of R32 Tank Leakage Accident Based on TNO Multienergy Model
Refined allocation of power marketing service resources based on clustering analysis algorithm
Research on Index ETF Timing Model
Intelligent misoperation prevention method for power regulation and control integration based on big data analysis technolog
Optimization model of supply and demand matching of energy right products based on pre-listing transactions
Research on early warning of operation and maintenance cost of engineering construction projects
Digital Platform for Economic Cost of Power Transmission and Transformation Projects Based on Machine Learning
Analysis of the Influencing Factors of Energy Consumption in Dongguan's Manufacturing Industry-Based on the LMDI Method
Improving Stock Price Prediction using Linear Regression and Long Short-Term Memory Model (LR-LSTM)
A Study on Digital Transformation Driving Green and Low Carbon in Manufacturing - Empirical evidence from listed manufacturing companies in China
Research on Improvement Strategy of Electricity Carbon Joint Demand Response Based on Low Carbon Economy Optimization Scheduling
Application of a Data Collection Method Using Cloud Services in Smart Home
Assessment of new energy consumption capacity considering pumped hydro energy storage access
Research on Broadband Customer Perception Prediction Based on the Customer Satisfaction Model
Data cleaning method based on decision tree-regression model
A Study and Improvement of Project Progress Evaluation Methods Based on the Microservice-Driven Post-Evaluation Framework for Technology Projects
Information security assessment method of electric vehicle charging pile based on game theory and combinatorial weighting method of VIKOR method
Replenishment and Pricing Decision Model for Vegetables
Research on Analyzing the Level of Innovation Ecosystem Efficiency of Pharmaceutical Industry in Jilin Province
Research on Interpretation Technology and Interpretation Project Management Process Based on Data Mining Technology
Overview of Research on Traffic Safety and Driving Behavior in China
Analysis and Prediction of Tourism Destination Popularity Based on Data Mining
Optimization Design and Implementation of ERP System Based on Material Reservation throughout the Project Process
Research on the Method of Allocating Electricity Expenses for Common Areas in Commercial Buildings under Subcontracting Power Supply
A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model
Research on Performance Evaluation of Financial Technology Expenditure -Taking Heilongjiang Province as an Example
A Bibliometric Analysis and Visualization of Human Resource Big Data Research
Design and Implementation of Dunhuang Geopark Information Management System
Measurement of Common Prosperity Level and Coupling Coordination Analysis from the perspective of Chinese Modernization
Investment Strategies for Charging Stations and Battery Swapping Stations: An Evolutionary Game Model