yusuke1997/dblp-id-title huggingface dataset:
Few-shot Object Detection with Refined Contrastive Learning
Boundary detection based on neural networks model
Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm
Deploying Mobile Software Agents for Distributed Data Mining on Wireless Sensor Networks: A Comparative Analysis
Sparse Deep Neural Networks for Embedded Intelligence
Semi-Supervised Ovulation Detection Based on Multiple Properties
TM-Gen: A Topic Map Generator from Text Documents
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments
The infinite distance in the determination of the nearest Euclidean M-neighbours in the K-D-B tree
Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness
Multi-Task Learning for Face Recognition via Mutual Information Minimization
(No)good Recording and ROBDDs for Solving Structured (V)CSPs
Exploiting data parallelism for efficient execution of logic programs with large knowledge bases
DICE: Data Imputation for Cost Estimates from Multiple Sources to Model User Decision-Making
Knowledge-based configuration of computer systems using hierarchical partial choice
Real-World Audio Deepfake Detection Using SSL-Based Speech Models and Diverse Training Data
Automatic Diagnoses for Properly Stratified Knowledge-Bases
Evaluating Simple Fully Automated Heuristics for Adaptive Constraint Propagation
PHYSIMC: an intelligent assistant for case-based learning
A NRF Spectra Signature Detection Model Using Local-Global Graphs
An Improved User Identification Method Across Social Networks Via Tagging Behaviors
The Comparison of Multi-objective Preference Inference Based on Lexicographic and Weighted Average Models
Order-Sensitive Clustering for Remote Homologous Protein Detection
Local search algorithm for the compacted cells area problem
Incremental Filtering Algorithms for Precedence and Dependency Constraints
Hybrid Correlational Graphical Models for Reasoning in Detecting Systems
BIRITS: A Music Information Retrieval System Using Query-by-Playing Techniques
An Expansion Convolution Method Based on Local Region Parameter Sharing
Artificial intelligence and imagery
A Multi-objective Large Neighborhood Search Methodology for Scheduling Problems with Energy Costs
Generation of Rule-Based Expert Systems with Certainty Factors from Datasets
Efficient Gate-Encoded Quantum Convolutional Neural Network with Channel Attention for Image Classification
Partitioned Linear Orders and Belief Revision
Recommending Temporally Relevant News Content from Implicit Feedback Data
Case-Based Reasoning to Support Work and Learning in Small and Medium Enterprises
Genetic algorithms as a tool for restructuring feature space representations
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs
Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection
A Global Rule Induction Approach to Information Extraction
Minimal Forward Checking with Backmarking and Conflict-Directed Backjumping
Robust Face Recognition and Retrieval Using Neural-Network-Based Quantization of Gabor Jets and Statistical Graph Matching
On Selecting Constraints for Replication in Model Checking
An Improved KalmanNet for State Estimation Under Unknown Input Conditions
Concession-First Learning and Coarse-to-Fine Retrieval for Open-Domain Conversational Question Answering
Modeling Local Gravity Anomaly Self-Adaption Quotient Reference Maps for Underwater Autonomous Navigation
Geographical route planning based on uncertain knowledge
Learning a Probabilistic Semantic Model from Heterogeneous Social Networks for Relationship Identification
Computing answers in default logic
On the evaluation of attribute information for mining classification rules
Collaborative Ranking via Learning Social Experts
Time Series Prediction Using Robust Radial Basis Function with Two-Stage Learning Rule
Guaranteed Diversity & Quality for the Weighted CSP
A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning
A Constraint Programming Model for Scheduling the Unloading of Trains in Ports
ECPNet: An Efficient Attention-Based Convolution Network with Pseudo-3D Block for Human Action Recognition
A Particle Swarm Algorithm for Multiobjective Design Optimization
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection
The control of genetic algorithms using version spaces
Actor-Aware Contrastive Learning for Semi-Supervised Action Recognition
Toward Predictive Stock Trading with Hidformer Integrated into Reinforcement Learning Strategy
Neural computing with structured information
Automated Parameter Tuning in Stereo Vision Under Time Constraints
MRM: Site Selection via Mutil-round Meanshift for Global Fairness
Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms
High Precision Logic Form Transformation
A New Deep Neighbor Residual Network for Protein Secondary Structure Prediction
Phrase Level VAE on Symbolic Melody Contour Generation
Object tracking and multimedia augmented transition network for video indexing and modeling
SoGeM: Social Based Generative Model for Top-N Recommendation
QUICK: A System that Uses Conceptual Design Knowledge for Query Formulation
Intrusion Detection Based on Cross-Correlation of System Call Sequences
Hypervolume-Based Surrogate Model for MO-CMA-ES
Top Subspace Synthesizing for Promotional Subspace Mining
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach
Societal Versus Encoded Stereotypes in Text Encoders
On the Complexity and Algorithms of Coalition Structure Generation in Overlapping Coalition Formation Games
Machine Learning for Pattern Detection in Printhead Nozzle Logging
Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure
Adaptive and Dynamic Service Composition Using Q-Learning
Neural Network Rule Extraction and the LED Display Recognition Problem
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques
Compiling CSPs: A Complexity Map of (Non-Deterministic) Multivalued Decision Diagrams
Coalition Formation Strategies for Multiagent Hedonic Games
Application of Fuzzy Modeling to Power Plant Generator Control
ConArg: A Constraint-Based Computational Framework for Argumentation Systems
A New Heterogeneous Dissimilarity Measure for Data Classification
Unsupervised Pedestrian Trajectory Prediction with Graph Neural Networks
Game-theoretic Simulations with Cognitive Agents
Building and Interpreting Risk Models from Imbalanced Clinical Data
An Unsupervised Collaborative Learning Method to Refine Classification Hierarchies
Boosting a Bridge Artificial Intelligence
Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis
Attribute-oriented Induction Using Domain Generalization Graphs
ADFL-DSV: An Adaptive Dynamic Federated Learning Aggregation Based on Shapley Value
Real Time and AI (Panel)
Utterance Censorship of Online Reinforcement Learning Chatbot
Classification of Apple Tree Disorders Using Convolutional Neural Networks
Visualization Tool for a Terrain-Based Genetic Algorithm
Adaptive Window Algorithm with Four-Direction Sizing Factors for Robust Correlation-Based Tracking
Belief Update in Bayesian Networks Using Uncertain Evidence
Enhancing Diversity for a Genetic Algorithm Learning Environment for Classfication Tasks
An Argumentation-Based Approach for Decision Making
A graphical constraint-based production system environment
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks
The Design of COMMA: An Extensible Framework for Mapping Constrained Objects to Native Solver Models
Optimization of Bounds in Temporal Flexible Planning with Dynamic Controllability
A Novel Transfer Learning Method Based on Common Space Mapping and Weighted Domain Matching
A New Implicit Branching Strategy for Exact Maximum Clique
MASHA-EL: A Multi-Agent System for Supporting Adaptive E-Learning
From Natural Language Requirements to Formal Specification Using an Ontology
Qualitative Constraints Representation for the Time and Space in SAT
Integrated Optic Disc and Cup Segmentation with Deep Learning
Sequence Generative Adversarial Network for Long Text Summarization
A Pair of Heterogenous Agents in a Unique Vehicle for Object Motion
Constraint Programming Languages
Image super resolution via multi-regularization combining hybrid Tikhonov-TV prior and deep denoiser prior
Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning
A logic theory of learning from experience
Data Stream Mining: Challenges and Techniques
Collective Classification for Sentiment Analysis in Social Networks
Augmented Transition Networks as Video Browsing Models for Multimedia Databases and Multimedia Information Systems
A Novel Learning Classification Scheme for Brain EEG Patterns
Text Editing for Augmented Distilled BERT
An Approach to Construct Semantic Networks with Confidence Scores Based on Data Analysis - Case Study in Osaka Wholesale Market
Personalized Table-Top Game Recommendations
Automated Iris and Gaze Detection Using Chrominance: Application to Human-Computer Interaction Using a Low Resolution Webcam
Parallel based Hiding of Sensitive Knowledge
An Interval Filtering Operator for Upper and Lower Bounding in Constrained Global Optimization
Bi-Directional Self-Attention with Relative Positional Encoding for Video Summarization
An Improved LDA Multi-document Summarization Model Based on TensorFlow
Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming
A Federated Learning Approach for Anomaly Detection in High Performance Computing
DNVA: A Tool for Visualizing and Analyzing Multi-agent Learning in Networks
Interpretable Credit Risk Assessment Based on Heuristic Knowledge Extraction Method
Instance-Based Ensemble Pruning via Multi-Label Classification
Disassembling and Reconstructing Algorithms for Discrete Event Systems
Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features
Components of expertise for knowledge level modeling
Prediction of Cerebral Aneurysm Rupture
Tracking and Detecting Dynamic Communities with Node Popularity Preservation
All Different: Softening AllDifferent in Weighted CSPs
Hands-on Evaluation of Visual Transformers for Object Recognition and Detection
Enhancing AlexNet for Arabic Handwritten words Recognition Using Incremental Dropout
Graph Neural Networks for Scheduling of SMT Solvers
Extracting Keywords on SNS by Successive KeyGraph
Extending the Aerial Image Analysis from the Detection of Tree Crowns
Towards Bridging the Gap Between SAT and Max-SAT Refutations
An IR-Based Artificial Bee Colony Approach for Traceability Link Recovery
Graph Grammar Induction on Structural Data for Visual Programming
Use of Hopfield Neural Network for Complex Image Registration
Wavelet Packet Bases for Speaker Recognition
L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation
Using a Goal-Agenda and Committed Actions in Real-Time Planning
On Constraint Linear Decompositions Using Mathematical Variables
Immune Clone Algorithm for Mining Association Rules on Dynamic Databases
Efficiency in Pure Blackboard Systems
A Genetically Evolved Measure of Credit-Risk
Let the Solver Deal with Redundancy
Proceedings of the 8th International Workshop on Combinations of Intelligent Methods and Applications co-located with 30th International Conference on Artificial Intelligence Tools (ICTAI 2018), Volos, Greece, November 7, 2018
Deep Spatio-Temporal Method for ADHD Classification Using Resting-State fMRI
The Semantics of Proactive Communication Acts among Team-Based Agents
Empirical Studies on Multi-label Classification
Identification of Generalized Communities with Semantics in Networks with Content
Non-Portfolio Approaches for Distributed Maximum Satisfiability
Comparative Analysis of Two Associative Memory Neural Networks
Sentiment Analysis of Twitter Data: Emotions Revealed Regarding Donald Trump during the 2015-16 Primary Debates
A method for partial-memory incremental learning and its application to computer intrusion detection
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization
Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning
PyDivDyn: A High-Performance Python Toolkit for Machine Learning Analyses of Macro-Evolutionary
Learning to Conceal: A Method for Preserving Privacy and Avoiding Prejudice in Images
Partial Max-restricted Path Consistency
Dual-Channel Disentangled Contrastive Learning with Adaptive Spatio-Temporal Encoding for POI Recommendation
Multi-branch selection fusion fine-grained classification algorithm based on coordinate attention localization
Aspect-Based Helpfulness Prediction for Online Product Reviews
Flooding-Driven Modifications of a Hierarchical and Irregular Navigation Grid Structure for Large Virtual Terrains used in Simulation Systems
ObjTrans: an intelligent tool for knowledge-object transformation
A Genetic Testing Framework for Digital Integrated Circuits
Ensemble based Data Imputation at the Edge
UDA-HOID: Unsupervised Domain Adaptation for Human-Object Interaction Detection
Exploiting hyperlinks for automatic information discovery on the WWW
User Guidance: From Theory to Practice, the Case of Visual Data Mining
MIMD implementation of neural networks through pipelined, parallel communication trees
Identifying causal structure in a biological neural network
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
Reliable Brain Tumor Classification Without Metadata: A Step-by-Step Guideline with Duplicate Removal
Solving WCSP by Extraction of Minimal Unsatisfiable Cores
Open-World Relationship Prediction
Bounded Strings for Constraint Programming
Course Scheduling in an Adjustable Constraint Propagation Schema
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier
A Local Leader Election Protocol Applied to Decentralized Traffic Regulation
Constraint Programming in Compiler Optimization: Lessons Learned
Democratic Co-Learning
Learning Markov Blanket Bayesian Network for Big Data in MapReduce
Topic Model Based Multi-Label Classification
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
Designing an Optical Island in the Core Network: From Routing to Spectrum Allocation
Fire Detection on Unconstrained Videos Using Color-Aware Spatial Modeling and Motion Flow
Sensory Substitution of Vision: A Systematic Mapping and a Deep Learning Object Detection Proposition
Ontology-guided Extraction of Complex Nested Relationships
Intelligent Web Representatives
Multi-document Cohesion Network Analysis: Automated Prediction of Inferencing across Multiple Documents
Using genetic algorithms for supervised concept learning
Web Mining: Information and Pattern Discovery on the World Wide Web
On Metatheoretic Properties of Logic-Based Abductive Inference
On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio
Interactive Explainable Case-Based Reasoning for Behavior Modelling in Videogames
Auction-Based Approach for Pickup and Delivery Problem with Time Windows
A Comparative Study of Extreme Learning Machine Pruning Based on Detection of Linear Independence
Network Planning for Heterogeneous Wireless Sensor Networks in Environmental Survivability
From Preferences over Arguments to Preferences over Attacks in Abstract Argumentation: A Comparative Study
GRG: knowledge discovery using information generalization, information reduction, and rule generation
A stable learning algorithm for recurrent neural networks
Margin Guidance Network for Arbitrary-shaped Scene Text Detection
Bridging Text Space and Knowledge Space via Transference Methods
An object-oriented toolkit for evolutionary algorithms
MFSE: A Meta-Fusion Model for Polypharmacy Side-Effect Prediction with Graph Neural Networks
Uplift Modeling for Cost Effective Coupon Marketing in C-to-C E-Commerce
Various Uses of Problem Solving Models for Knowledge Acquisition
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
PGN: A Perturbation Generation Network Against Deep Reinforcement Learning
Online Stochastic Planning for Taxi and Ridesharing
A Personalized User Evaluation Model for Web-Based Learning Systems
Application of Machine Learning to Algorithm Selection for TSP
A Lazy Algorithm to Efficiently Approximate Singleton Path Consistency for Qualitative Constraint Networks
A Virtual Character Learns to Defend Himself in Sword Fighting Based on Q-Network
Distance-Aware eXplanation Based Learning
EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems
Towards an automated tool for software certification
Handwritten Digit Segmentation in Images of Historical Documents with One-Class Classifiers
Reducing Redundancy in the Hypertree Decomposition Scheme
Methods for Prediction Optimization of the Constrained State-Preserved Extreme Learning Machine
Attention Enhanced Network with Semantic Inspector for Medical Image Report Generation
Human-Readable and Machine-Readable Knowledge Bases Using Specialized Word Processors
Local and Global Structures Preserving Projection
Training RBF Networks Using a DE Algorithm with Adaptive Control
Logical Representation and Analysis for RC-Arguments
Formal Performance Guarantees for Behavior-Based Localization Missions
Confident Labels: A Novel Approach to New Class Labeling and Evaluation on Highly Imbalanced Data
Effects of Different Types of New Attribute on Constructive Induction
Biterm Tensor Topic Model for Short Reviews in Recommender System
Realistic Style-Transfer Generative Adversarial Network With a Weight-Sharing Strategy
Cognitive Maps for Knowledge Represenation and Reasoning
An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams
Learning of Mediation Strategies for Heterogeneous Agents Cooperation
Arg-XAI: a Tool for Explaining Machine Learning Results
Towards an Event-Level Analysis in Hadronic Physics Using Generative AI-Based Surrogates
Preference-aware Heterogeneous Graph Neural Networks for Recommendation
Fusing Laser and Image Data for 3D Perceived Space Representations
Knowledge Discovery from Qualitative Spatial and Temporal Data
The determination of neural network parameters by information theory
Multispectral Image Demosaicking Based on Multi-scale Dense Connections and Large-kernel Attention
Model Representation for Facial Expression Recognition Based on Shape and Texture
Text Style Transfer Using Partly-Shared Decoder
A study of back-error propagation networks in the domain of noisy tactile impressions
Learning Trading Negotiations Using Manually and Automatically Labelled Data
Escape from a prisoners' dilemma by communication with a trusted third party
Massive Open Online Courses Temporal Profiling for Dropout Prediction
Finite Domain Constraints in the ML Functional Language
Hybridization of Support Vector Regression and Firefly Algorithm for Diarrhoeal Outpatient Visits Forecasting
Genetic Programming for a Wearable Approach to Estimate Blood Pressure Embedded in a Mobile-Based Health System
MetaIP - A New Approach to Combinatorial Optimization: Case Studies
Learning in Local Search
Enhancing Diffusion Policy with Classifier-Free Guidance for Temporal Robotic Tasks
Comparing Approaches to Preference Dominance for Conversational Recommenders
Cognitive Packet Networks
From XSAT to SAT by Exhibiting Equivalencies
Neural Tangent Bayesian Optimization for Accurate and Efficient Influence Maximization
Tikhonov or Lasso Regularization: Which Is Better and When
A Tool for Extracting XML Association Rules
Searching Optimal Parallel Plans: A Filtering and Decomposition Approach
Petroglyph Recognition Using Self-Organizing Maps and Fuzzy Visual Language Parsing
Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems
Joint Embedding based Text-to-Image Synthesis
A Combined Neural and Genetic Algorithm Model for Data Center Temperature Control
CoMeMo: Constructing and Sharing Everyday Memory
A metatool for implementing task-oriented formalisms
Visual Tracking by Weighted Likelihood Maximization
Using a SMT Solver for Risk Analysis: Detecting Logical Mistakes in Texts
The G2 Development and Deployment Environment
On Information Fusion in Recommender Systems Based on Dempster-Shafer Theory
Automatic Image-to-Text-to-Voice Conversion for Interactively Locating Objects in Home Environments
Supervised Clustering - Algorithms and Benefits
Diagnosing systems modeled with piecewise linear constraints
A visualization tool for interactive learning of large decision trees
An Expert System for Multiple Emotional Classification of Facial Expressions
Nogood Recording for Valued Constraint Satisfaction Problems
IndiCon: Selecting SAT Encodings for Individual Pseudo-Boolean and Linear Integer Constraints
Recommending Personalized Asset Investments through Case-Based Reasoning: The SMARTFASI System
Asynchronous Evolution of Data Mining Workflow Schemes by Strongly Typed Genetic Programming
An artificial neural network for the design of an adaptive multimodal interface
A Scalable Short-Text Clustering Algorithm Using Apache Spark
Incorporating Proportional Sparse Penalty for Causal Structure Learning
An Automatic Scoring Method for Responses to the Hayling Test
Extracting Academic Information from Conference Web Pages
Constraint Satisfaction Problems: Backtrack Search Revisited
CDRL: Contrastive Disentangled Representation Learning Scheme for Facial Action Unit Detection
Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning
On the Influence of the Number of Objectives in Evolutionary Autonomous Software Agent Testing
Weighted Constraint Satisfaction Problems with Min-Max Quantifiers
Smart Cars as Autonomous Intelligent Agents
Clustering Knowledge in Tabular Knowledge Bases
Match Box: fine-grained parallelism at the match level
From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis
Employing Agents Towards Database Applications Testing
Inducing Theorem Provers from Proofs
An ANFIS Based Method of Agent Behavior in Simulated Soccer Agents
Analyzing and Preventing Bias in Text-Based Personal Trait Prediction Algorithms
Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery
Gradient-Based Feature Selection for Conditional Random Fields and its Applications in Computational Genetics
Solving the Defect in Application of Compact Abating Probability to Convolutional Neural Network Based Open Set Recognition
Solving Conditional and Composite Temporal Constraints
Policies for Contextual Bandit Problems with Count Payoffs
An Approach to Planning Multi-Phase Projects
A New Approach to Modularity in Rule-Based Programming
Sinhalese morphological analysis: a step towards machine processing of Sinhalese
Tools for the definition and enforcement of dynamic constraints
Integrating Agents and Objects to Develop Distributed AI Systems
Software Measurement Data Analysis Using Memory-Based Reasoning
Ontological Cognitive Map
An Application of Pebble Motion on Graphs to Abstract Multi-robot Path Planning
Domain Knowledge Guided Deep Neural Networks (DKG-DNN) for Prediction of Diaphragm Wall Deformation Induced by Excavation
Data-Parallel Compilation and Query Power Extension of Large Knowledge Bases
An Automatic Partial Deduction System for Constraint Logic Programs
Acquiring Local Preferences of Weighted Partial MaxSAT
Heterogeneous Information Diffusion Model for Social Recommendation
Fuzzy Classification by a CMAC Network
LRNPlanner: Planning Personalized and Contextualized E-Learning Routes
Efficient Key Assignment Scheme for Mobile Agent Systems
A Decentralized Model-Based Diagnostic Tool for Complex Systems
Least-Ambiguous Multi-Label Classifier
Minimal Forward Checking
Neural Networks with Long-Range Feedback: Design for Stable Dynamics
A New Exact Bit-Parallel Algorithm for SAT
Dialog Driven Face Construction using GANs
Order in Space: A General Formalism for Spatial Reasoning
Interactive generalization of a translation example using queries based on a semantic hierarchy