yusuke1997/dblp-id-title huggingface dataset:
Exploiting Systemic Biological Modeling for Trigger Based Adaptation in Networked Intelligent Multi-Agent Systems
Object Detection Boosting using Object Attributes in Detect and Describe Framework
Fault Localization in Constraint Programs
PHC-NSGA-II: A Novel Multi-objective Memetic Algorithm for Continuous Optimization
Staged Multi-View Data Classification Using Uncertainty Quantification
Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph
Learning Sequential and Parallel Runtime Distributions for Randomized Algorithms
Designing a Hybrid AI System as a Forex Trading Decision Support Tool
Efficient Compensation of Action for Reinforcement Learning Policies in Sim2Real
An Algorithm for a Constraint Optimization Problem in Mobile Ad-hoc Networks
A Role for Chunking and Fuzzy Reasoning in a Program Comprehension and Debugging Tool
An Automatic Decomposition Method for Qualitative Spatial and Temporal Reasoning
SERC: Syntactic and Semantic Sequence based Event Relation Classification
Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem
An approach to incremental SVM learning algorithm
Integrating an Attention Mechanism and Deep Neural Network for Detection of DGA Domain Names
Imitation Learning-Based Drone Motion Planning in Dense Obstacle Scenarios
Predicting Gene Functional Interactions with Semantic Word Embedding
Encoding global constraints in semiring-based constraint solving
A Speaker Independent Approach to the Classification of Emotional Vocal Expressions
Feature Selection for Support Vector Machines by Means of Genetic Algorithms
Fs-Cx: Generating Personalized Contrastive Explanations for Recommender Systems
Cases without Borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-Based Reasoning
The process trellis: a software architecture for intelligent monitors
Learning similarity features of point clouds in Euclidean space and feature space
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
Accelerating One-Pass Clustering by Cluster Selection Racing
Weakly Supervised Anomaly Localization and Segmentation of Biomarkers in OCT Images
The Gravitational Strategy for the Timed Patrolling
Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems
A Novel Multi-Frequency Coordinated Module for SAR Ship Detection
Problematic News Topic Spreader Prediction via Uncertainty-based Contrastive Learning for Marked Temporal Point Processes
Cross-View Gait Recognition Based on Feature Fusion
Argumentation-Based Adversarial Regression with Multiple Learners
A Thermodynamic and Biologically Inspired Kernel Similarity Method
Physics-Informed Machine Learning for Better Understanding Laser-Matter Interaction
Ontology Based Object Learning and Recognition: Application to Image Retrieval
Solving large scale puzzles with neural networks
A Spin-Glass Model Based Local Community Detection Method in Social Networks
Metric Learning from Imbalanced Data
Channel-Aware Embedding Strategies for Transformer-Based Multivariate Time-Series Forecasting: A Comparative Study
A Hybrid Recogniser for Handwritten Symbols Based on Fuzzy Logic and Self-Organizing Maps
A Collaborative Approach to Solve a Nurse Scheduling Problem
An Orthogonal Classification Layer with Kasami Sequences for Discriminative Feature Learning in Neural Networks
An Intelligent System to Facilitate the Diagnosis of Adverse Drug Reactions
Exploiting Syntactic and Shallow Semantic Kernels to Improve Random Walks for Complex Question Answering
Conformal ECOC Machines
Using an Emotional Intelligent Agent to Support Customers' Searches Interactively in e-Marketplaces
Constraint driven computations in evolving object databases
Solving Hard Satisfiability Problems: A Unified Algorithm Based on Discrete Lagrange Multipliers
Hierarchical Joint Control for Urban Mixed-Autonomy Traffic Optimization
An Efficient Truth Discovery Mechanism for Crowdsensing Tasks With Temporal and Spatial Correlations
18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 13-15 November 2006, Arlington, VA, USA
SICKNet: A Humor Detection Network Integrating Semantic Incongruity and Commonsense Knowledge
A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing
CHRONOS: Improving the Performance of Qualitative Temporal Reasoning in OWL
A Comparative Study of IDA*-Style Searches
Real Time Scheduling with Neurosched
Efficient Pattern Discovery for Semistructured Data
Efficient Singleton Consistency by Combining Forward Checking and Bound Consistency
Assessing Hierarchical Cooperative CoEvolution
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation
Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature
Deep Semantic Mapping for Cross-Modal Retrieval
Advancing the AI-Based Realization of ACAS X Towards Real-World Application
Improving the Performance of Multi-Class SVMs in Face Recognition with Nearest Neighbor Rule
Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment
Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization
Temporal Constraints and Their Interpretations in Natural Language
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study
History checking of temporal fuzzy logic formulas for monitoring behavior-based mobile robots
Two-Stage Multiclassifier System with Correction of Competence of Base Classifiers Applied to the Control of Bioprosthetic Hand
An expert system for contingency analysis in transmission networks
Multi-classfication Sentiment Analysis Based on the Fused Model
Three-layered Fuzzy Inference and Self-wondering Mechanism as Natural Language Processing Engine of FLINS
Using a Double-based Genetic Algorithm on a Population of Computer Programs
Learning textural concepts through multilevel symbolic transformations
Recent Progress on Named Entity Recognition Based on Pre-trained Language Models
A Robust UAV Tracking Solution in the Adversarial Environment
Parsing Unification Categorial Grammar with Object-Oriented Knowledge
Cost-Effective Prediction in Medicine and Marketing: Only the Difference Between Bayesian Model Averaging and the Single Best-Fit Model
Intention Interleaving Via Classical Replanning
Air quality data pre-processing: A novel algorithm to impute missing values in univariate time series
Low-Density 3D Point Cloud Classification
Phase Transitions, Backbones and Heuristic Search
R-calculus: A Logical Approach for Knowledge Base Maintenance
Transforming supervised classifiers for feature extraction
Agent Based Activity Monitoring System - ABAMS
Merging of Temporal Plans Supported by Plan Repairing
Learning Refinements on Curve-Strokes
A Filtering Algorithm for Constrained Clustering with Within-Cluster Sum of Dissimilarities Criterion
Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis
Scheduling for Dedicated Machine Constraint Using Integer Programming
Target-Based Sentiment Analysis using a BERT Embedded Model
Learning Occupancy in Single Person Offices with Mixtures of Multi-lag Markov Chains
A cooperation and communication framework for distributed problem solving
Parallel sampling in Bayesian networks
Adversarially Regularized Graph Embedding for User Identity Linkage Across Social Networks
Self-Augmentation with Dual-Cycle Constraint for Unsupervised Image-to-Image Generation
Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures
A Platform-Independent Approach for Parallel Reasoning with OWL EL Ontologies Using Graph Representation
Open Decentralized POMDPs
An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher
A planner for time-space coordination of robots in a structured workspace
Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning
Subspace Rotation Algorithm for Training Restricted Hopfield Network
GREAT: A Model of Progressive Reasoning for Real-Time Systems
Software Maintenance: Similarity and Inclusion of Rules in Knowledge Extraction
A Sequence-Based Approach to Analysing and Representing Engineering Project Normality
Cross-Domain and Multilingual Analysis of Retrieval Augmented Generation on Ontologies
Model-Guided Approaches for MaxSAT Solving
A Constraint-based Nurse Rostering System Using a Redundant Modeling Approach
Temporal neural logic networks
Aspect-Based Sentiment Analysis with Adjustments to Irrelevant Sentimental-Related Features
Scale Assignment for Imbalanced Points
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
Data Mining Using MLC++: A Machine Learning Library in C++
Recognition of Neonatal Facial Expressions of Acute Pain Using Boosted Gabor Features
Nonchronological Backtracking in Stochastic Boolean Satisfiability
Signal Trend Identification with Fuzzy Methods
Quality over Quantity in Soft Constraints
Recovering Extremely Degraded Faces by Joint Super-Resolution and Facial Composite
Genetic Algorithms in Industrial Design
Data Analysis in Scientific Databases
An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design
On Computing One Max_Subset Inclusion Consensus
An Empirical Inverstigation of the Forward Checking Algorithm and Its Derivatives
A Self-Organization Genetic Algorithm with Cycle Mutation
Deep Fusion of Multiple Networks for Learning Latent Social Communities
Algorithm for Concept Traversal in Multiple Databases
A Survey on Recent Advancements in Lightweight Generative Adversarial Networks, their Applications and Datasets
Automatic Discovery and Transfer of MAXQ Hierarchies in a Complex System
Another SAT to CSP Conversion
Protein Secondary Structure Prediction with Bayesian Learning Method
CORMS AI: Continuous Operational Real-Time Monitoring System
GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis
Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model
Automatic Image Annotation Using Word Embedding Learning
Evolution and Evaluation of Software Quality Models
Mapping the Wireless Coverage Grid for Carrier and User Recommendations through Crowdsourcing
Towards Optimal Decision Guidance for Smart Grids with Integrated Renewable Generation and Water Desalination
Agile Asynchronous Backtracking for Distributed Constraint Satisfaction Problems
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Using Multiagent Self-organization Techniques to Improve Dynamic Skill Searching in Virtual Social Communities
Dot Plots for Time Series Analysis
Adding Flexibility to Russian Doll Search
Basic Equivalence in Logic-Based Argumentation
Disjointness axioms between top-level ontology concepts as a heuristic for word similarity evaluation
Exploring the Use of BDDs in Conformant Planning
Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data
Web Image Organization and Object Discovery by Actively Creating Visual Clusters through Crowdsourcing
Solving Temporal Constraint Satisfaction Problems with Heuristic Based Evolutionary Algorithms
Clustering Users by exploiting Activity Tracks in Recommender Systems for SME
Solving fuzzy constraint satisfaction problems with fuzzy GENET
Exploiting Opinion Influence in Question Answering Systems
A Tri-training Based Transfer Learning Algorithm
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection
Incorporating Domain Specific Knowledge into Version Space Search
A Closer Look at MOMDPs
Maintaining Arc Consistency through Constraint Retraction
Maximizing Classification Performance for Patient Response Datasets
The correspondence between methods of artificial intelligence and the production and maintenance of evolutionary software
Events Extraction and Aggregation for Open Source Intelligence: From Text to Knowledge
Integrating Statistical Methods for Characterizing Causal Influences on Planner Behavior over Time
A Fuzzy Logic Approach to Case Matching and Retrieval Suitable to SQL Implementation
Verifying Neural Networks with Non-Linear SMT Solvers: a Short Status Report
Two New Donstraint Propagation Algorithms Requiring Small Space Complexity
Building a hierarchical representation of membership functions
Incremental Algorithms for Managing Temporal Constraints
A Fast Technique for White Blood Cells Nuclei Automatic Segmentation Based on Gram-Schmidt Orthogonalization
Assessing LLMs for Prioritization in Meeting-Based Group Recommendations
Active Tracking and Cloning of Facial Expressions Using Spatio-Temporal Information
A Planning Algorithm for Incorporating Attempts and Nondeterminism into Interactive Stories
GATTO: An Intelligent Tool for Automatic Test Pattern Generation for Digital Circuits
A Conventional Dialogue Model Based on Empirically Specified Dialogue Games
A GA-Based Solution for the Combination Optimization in the Contour Formation
Fair Detection of Poisoning Attacks in Federated Learning
Combining Multiple Feature Selection Methods for Text Categorization by Using Rank-Score Characteristics
How Features Benefit: Parallel Series Embedding for Multivariate Time Series Forecasting with Transformer
SHAMASH: An AI Tool for Modeling and Optimizing Business Processes
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters
A Coverage Based Ensemble Algorithm (CBEA) for Streaming Data
Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning
Assistant Agents for Creation and Management of Distributed Applications
Joining Contextual Information to the Intervention in Natural Language Interfaces
Improving Transportation Mode Identification with Limited GPS Trajectories
Automated Drone Classification for Internet of Drones Based on a Hybrid Transformer Model
Phoneme Substitution: A Novel Approach for Backdoor Attacks on Speech Recognition Systems
A Two-Level Gradient Based Approach for Intelligent Coordination of Large-Scale Systems - Part I
A Shape Recognition Method Based on Graph- and Line-Contexts
A Dual Relation Extractor for Object Detection
Stochastic Offline Programming
Hidden Tractable Classes: From Theory to Practice
Comparing FBTSeg and NNTree Implementations with Established Ensemble Methods
Every Character Counts: From Vulnerability to Defense in Phishing Detection
An Incremental Approach for Pattern Diagnosability in Distributed Discrete Event Systems
9th International Conference on Tools with Artificial Intelligence, ICTAI '97, Newport Beach, CA, USA, November 3-8, 1997
Multi-sensor Fusion Method Using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
An End-to-End Abnormal Fastener Detection Method Based on Data Synthesis
Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning
Vehicle Routing and Scheduling for Regular Mobile Healthcare Services
Using Growing Neural Gas Networks to Represent Visual Object Knowledge
Re-using Auxiliary Variables for MaxSAT Preprocessing
An Evolutionary Computational Method for N-Connection Subgraph Discovery
Model selection via meta-learning: a comparative study
Diagnosis Detection Support based on Time Series Similarity of Patients Physiological Parameters
Dynamic Peak-Aware Loss for Zero-Shot Occupancy Estimation
Empty Speech Pause Detection in Spontaneous Speech
Towards a Dynamic Ontology Based Software Project Management Antipattern Intelligent System
Script Event Prediction Based on Causal Generalization Learning
Constraint-based specification of production rules
EBLearn: Open-Source Energy-Based Learning in C++
Multi-Robot Collision Avoidance with Map-based Deep Reinforcement Learning
Evolutionary Robotics on Lego NXT Platform
New Evolutionary Bankruptcy Forecasting Model Based on Genetic Algorithms and Neural Networks
Constructing VEGGIE: Machine Learning for Context-Sensitive Graph Grammars
Textual Ontology and Visual Features Based Search for a Paleontology Digital Library
Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization
Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts
Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification
Prostate Cancer Biomarker Selection through a Novel Combination of Sequential Global Thresholding, Particle Swarm Optimization, and PNN Classification of MS-Spectra
Learning Ambiguities Using Bayesian Mixture of Experts
TCA*-a time-constrained approximate A* search algorithm
Information Quantity Based Automatic Reconstruction of Shredded Chinese Documents
Weakly Supervised Video Anomaly Detection with Large Language Models Knowledge Enhancement Framework
Cases and Clusters in Reuse Policies for Decision-Making in Card Games
Super Mario A-Star Agent Reloaded
PCFBPI: A Point Clustering Feature Based Policy Iteration Algorithm
Mining Data with Rare Events: A Case Study
An Intelligent Tutoring System for Training and Learning in a Virtual Environment for High-Risk Sites
COMPOzE: Intention-based Music Composition through Constraint Programming
GA Performance in a Babel-like Fitness Landscape
Addressing Class Imbalance in Non-binary Classification Problems
Goal-oriented behavior in autonomous systems
Improving a Knowledge Based Approach for Recognition of Typed Text Characters Using A 2-D FT
Zero-shot Bilingual App Reviews Mining with Large Language Models
Multi-Robot Patrolling in Wireless Sensor Networks Using Bounded Cycle Coverage
Multi-Modal Vision and Language Models for Real-Time Emergency Response
A Siamese-Detection Network for Real-Time Object Tracking
An efficient and practical diagnosis model
Global Path Planning for Autonomous Qualitative Navigation
Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes
Constraint techniques for collaborative design
SciAgents-an agent based environment for distributed, cooperative scientific computing
A Performance Analysis of Hierarchical Shortest Path Algorithms
A New Association Rule-Based Text Classifier Algorithm
Approximating MAP Inference in Credal Networks Using Probability-Possibility Transformations
An Adaptive Markov Strategy for Effective Network Intrusion Detection
Pose determination using vertex-pairs on the Connection Machine
An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning
A Semantic Approach for Ontology Evaluation
Supervised Image Classification Using Deep Convolutional Wavelets Network
EthicAmanuensis: supporting machine learning practitioners making and recording ethical decisions
29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA, November 6-8, 2017
Advantages of Meta-Level Control Architectures in Maintaining Rule-Based Systems
Strategy and Fairness in Repeated Two-agent Interaction
Exploiting Global Semantic Similarity Biterms for Short-Text Topic Discovery
Linear Logic as a Tool for Weak Soundness Verification for Interorganizational Workflow Processes
Local Autarkies Searching for the Dynamic Partition of CNF Formulae
DHQN: a Stable Approach to Remove Target Network from Deep Q-learning Network
Context-aware Adaptive Recommendation System for Personal Well-being Services
KRLGI: Knowledge Representation Learning Based on Global Information for Reasoning
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Domain Specific Searches Using Conceptual Spectra
Knowledge Bases and Agents for Domain Knowledge Representation
Near-Linear Time Projection onto the $\ell_{1, \infty}$ Ball; Application to Sparse Neural Networks
Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning
An Ontology-Based Representation of the Twitter REST API
Enhancing Neighbourhood Substitutability Thanks to Singleton Arc Consistency
Network Routing Based on Reinforcement Learning in Dynamically Changing Networks
A genetic algorithm programming environment: Splicer
A forward-chaining multiple-context reasoner and its application to logic design
Real-Time Scheduling of Reconfigurable Battery-Powered Multi-Core Platforms
Traffic Signal Control by Using Traffic Congestion Prediction Based on Pheromone Model
Equivalence Class Based Parity Reasoning with DPLL(XOR)
An Improved Hidden Markov Model for Transmembrane Topology Prediction
SARC: Split-and-Recombine Networks for Knowledge-Based Recommendation
Optimal information distribution and performance in neighbourhood-conserving maps for robot control
A Software Tool for Real-Time Low-Level Vision
Towards Logically Sound Natural Language Reasoning with Logic-Enhanced Language Model Agents
Rule-Based Constraint Elicitation For Active Constraint-Incremental Clustering
Multiway Decision Tree Induction Using Projection and Merging (MPEG)
K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions
Heuristics for the exam scheduling problem
Grad Centroid Activation Mapping for Convolutional Neural Networks
POI Recommend for Deep Neural Network Based on Explicit and Implicit Feature Joint
An Adaptive Sanctioning Mechanism for Open Multi-agent Systems Regulated by Norms
Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks
Exploring Heterogeneous Feature Representation for Document Layout Understanding
A knowledge-based approach to requirements analysis
Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm
Geometric Invariant Representation Learning for 3D Point Cloud
Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction
Categorization in supervised neural network learning A computational approach
Autonomous Agents for Interrogation
Pattern Matching in Unordered Trees
A Selective Fuzzy Region Competition Model for Multiphase Image Segmentation
ToonMeet: A Real-time Portrait Toonification Framework with Frame Interpolation Fine-tuned for Online Meeting
Dealing with Imbalanceness in Hierarchical Multi-Label Datasets Using Multi-Label Resampling Techniques
A Subspace Hierarchical Clustering Algorithm for Categorical Data
Regularized Non-Negative Spectral Embedding for Clustering
Three-Valued Possibilistic Networks: Semantics & Inference
Docile Agents to Process Natural Language
Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning
Adaptive Neural Network Multiple Models Sliding Mode Control of Robotic Manipulators Using Soft Switching
Detecting Boolean Functions for Proving Unsatisfiability
Evaluating the learning outcomes of a fuzzy-based Intelligent Tutoring System
Adversarial Intention Recognition as Inverse Game-Theoretic Planning for Threat Assessment
DOG: An Ontology-Powered OSGi Domotic Gateway
AI Approaches for the Prognosis of the Survival (or Not) of Patients with Bone Metastases
Random Walk in Large Real-World Graphs for Finding Smaller Vertex Cover
SocialFan: Integrating Social Networks Into Recommender Systems
Hyperarc Consistency for the Stable Admissions Problem
Adaptive Mobile Interfaces through Grammar Induction
Modeling User-Item Profiles with Neural Networks for Rating Prediction
Mining Relevant Sequence Patterns with CP-Based Framework
ECIFF: Event Causality Identification based on Feature Fusion
Towards building reliable deep learning based driver identification systems
Comparing Arguments Using Preference Ordering for Argument-Based Reasoning
Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models
Learning Strategy Knowledge Incrementally
Cognitively adequate modelling of spatial reference in human-robot interaction
Clustering and Selection Using Grouping Genetic Algorithms for Blockmodeling to Construct Neural Network Ensembles
Ontology Learning from Incomplete Semantic Web Data by BelNet