yusuke1997/dblp-id-title huggingface dataset:
Multi-objective Optimization Model for Partner Selection in a Market-Oriented Dynamic Collaborative Cloud Service Platform
BeHAVE: Synthetic Data Generator for Group Recommender Systems
Mining First-Order Knowledge Bases for Association Rules
Tri-Rank: An Authority Ranking Framework in Heterogeneous Academic Networks by Mutual Reinforce
Content-Based Filtering Enhanced by Human Visual Attention Applied to Clothing Recommendation
Texture image segmentation method based on multilayer CNN
Autonomous Agents for The Single Track Road Problem
From Set Constraint Models to SAT Instances
Enhancing Qualitative Relative Orientation with Qualitative Distance for Robot Path Planning
Towards a Tool for the Design of Cooperation Expert Systems
Coalitional Planning in Game-like Domains via ATL Model Checking
A Framework for Adaptive Mail Classification
A family of cuts for production systems
SBMF: Similarity-Based Matrix Factorization for Collaborative Recommendation
Edge-Enriched Mesh Representation for Protein Surface Classification
Moving Sensor Video Image Processing Enhanced with Elimination of Ego Motion by Global Registration and SIFT
RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data
Monaural Music Source Separation using a ResNet Latent Separator Network
Explaining Time Series Classification Predictions via Causal Attributions
Fine-Grained Hierarchical Classification of Plant Leaf Images Using Fusion of Deep Models
Sparse Inductive Embedding: An Explorative Data Visualization Technique
RQ2DSL: An AI Agent for Automated Domain-Specific Language Grammar Generation from Requirements
Integration of Multiple Knowledge Representation for Classification Problems
Hierarchical Multilabel Text Classification via Multitask Learning
Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification
KB2Bench: Toward a Benchmark Framework for Large Language Models on Medical Knowledge
Learning to Solve Resource-Constrained Project Scheduling Problems with Duration Uncertainty Using Graph Neural Networks
Aligning Speakers: Evaluating and Visualizing Text-based Speaker Diarization Using Efficient Multiple Sequence Alignment
Label Space Transfer Learning
Image Inpainting with Context Flow Network
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
AgenTalk: describing multiagent coordination protocols with inheritance
A massively parallel knowledge-base server using a hypercube multiprocessor
A Space Efficient Scheme for Persistent Graph Representation
Arc consistency for factorable relations
RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets
Light Integration of Path Consistency for Solving CSPs
A New Hybrid GA-MDP Algorithm For The Frequency Assignment Problem
Improved Spoken Uyghur Segmentation for Neural Machine Translation
Using Parallel Singleton Arc Consistency to Enhance Constraint Solving
An Augmented-Based Approach for Compiling Min-based Possibilistic Causal Networks
Enhancing Behavioral Fidelity within Distributed Virtual Environments
Symmetry Propagation: Improved Dynamic Symmetry Breaking in SAT
Simultaneous Tracking and Activity Recognition
Integrated Framework for Device and Service Descriptions in the Web of Things
Evaluating Methods for the Parsing and Understanding of Mathematical Formulas in Technical Documents
35th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2023, Atlanta, GA, USA, November 6-8, 2023
The Effects of Class Label Noise on Highly-Imbalanced Big Data
R-Tree Based Path Representation for Vehicle Routing Problem
A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs
A Multi-agent Homophily-Based Approach for Community Detection in Social Networks
Collision-Free Path Finding for Dynamic Gaming and Real Time Robot Navigation
Boosting Active Learning with Knowledge Transfer
Resource Allocation for Infrastructure Resilience using Artificial Neural Networks
Improve Decision Trees for Probability-Based Ranking by Lazy Learners
On Case-Based Knowledge Sharing in Semantic Web
An Expert System Building Tool Supporting Knowledge Compilation and Management
XML Document Co-clustering via Non-negative Matrix Tri-factorization
Cooperative Multiagent Patrolling for Detecting Multiple Illegal Actions under Uncertainty
CHRONOS: A Tool for Handling Temporal Ontologies in Protégé
The Cerebral Vascular Enhancement Effect in Establishing Diffusion Tensor Imaging Protocols
Efficient Multivariate Bandit Algorithm with Path Planning
Joint Learning for Efficient German Argument Mining
A technique for knowledge base verification
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
Privacy-Preserving Attribute Distribution Mechanism for Access Control in a Grid
FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions
Reproducing arm movements based on Pose Estimation with robot programming by demonstration
Cooperative Co-Learning: A Model-Based Approach for Solving Multi Agent Reinforcement Problems
Predicting Stances in Twitter Conversations for Detecting Veracity of Rumors: A Neural Approach
Some Issues of Reasoning in Fuzzy Control: Principle, Practice, and Perspective
Configurable Heuristic Adaptation for Improving Best First Search in AI Planning
Modeling software quality: the Software Measurement Analysis and Reliability Toolkit
An Inference Browser to Verify Knowledge Bases
Hypergraph Partitioning for Exploiting Localities in Nonlinear Constrained Optimization
Multi-layer Perceptrons for Subvocal Recognition
An Unsupervised Vision-related Keywords Retrieval and Fusion Method for Visual Storytelling
iAIML: a Mechanism to Treat Intentionality in AIML Chatterbots
Can Deep Learning Models Predict Compositional Outputs Without Log-Ratio Transformations?
Modeling Autonomous Agents in a Knowledge Based Simulation Environment
Toward a Logical Tool for Generating New Arguments in an Argumentation Based Framework
Interactive Surface for Bio-inspired Robotics, Re-examining Foraging Models
Structuring Requirements Specifications through Goals Interactions
Using On-The-Fly Model Checking to improve Constraint Programming for Dynamic Problems
Simulated Annealing Based Classfication
Selective Attention Guided Contour Extraction for Perceptual Grouping
A 3D Frontier-Based Exploration Tool for MAVs
Sentence Pair Similarity Modeling Based on Weighted Interaction of Multi-semantic Embedding Matrix
An empirical comparison of ID3 and HONNs for distortion invariant object recognition
Sequence Mining Without Sequences: A New Way for Privacy Preserving
A Novel Automatic Context-Based Similarity Metric for Local Outlier Detection Tasks
A Genetic Approach to the Attitude Control of an Inverted Pendulum System
An Object-Based Methodology for Knowledge Representation in SGML
Two-level learning algorithm for multilayer neural networks
Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques
Exploiting Low-Rank Structures in Neural Networks with Iterative CUR Approximations
An agent architecture for supporting individualized services in Internet applications
Stock Trends Forecasting by Multi-layer Stochastic ANN Bagging
An Ensemble Learning based Hierarchical Multi-label Classification Approach to Identify Impacts of Engineering Changes
Constraint propagation neural networks for Huffman-Clowes scene labeling
Mutual Information Based Clustering of Market Basket Data for Profiling Users
Multi-state commitment search
Robust Point Set Registration with Mixture Re-Weighting Based on Relative Geometric Structures
A Task-Based Production Environment for Intelligent Learning/Teaching Systems: The "NGE" Kernel
Layered inductive learning algorithms and their computational aspects
An L-G & SPNG Based Model for Brain Biometrics
Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout
Rotation Invariant Thinning Algorithm to Detect Ridge Bifurcations for Fingerprint Identification
A Novel Combination of Reasoners for Ontology Classification
Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation
MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring
Function approximation based multi-agent reinforcement learning
Contextual Decision Making in General Game Playing
Designing verifiable expert systems
EERtoOWL2: A Tool for Transforming RDB Data to OWL2 for Data Validation
Toward a Robust Diversity-Based Model to Detect Changes of Context
A Systematic Analysis of Deep Learning Algorithms in High-Dimensional Data Regimes of Limited Size
Automated Multi-Aircraft Rerouting Under Convective Weather Using Policy-Shared Deep Reinforcement Learning
A Scalable Algorithm for Mining Maximal Frequent Sequences Using Sampling
The Performance of Approximating Ordinary Differential Equations by Neural Nets
Building efficient partial plans using Markov decision processes
A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph
Optimal One-Max Strategy with Dynamic Island Models
Contextual Networks and Unsupervised Ranking of Sentences
Neural Grammatical Error Correction for Romanian
Knowledge Acquisition from Multimedia Documents Using Evolving Ontologies
Using Directed Acyclic Graphs to Coordinate Propagation and Search for Numerical Constraint Satisfaction Problems
WINP: A Window-Based Incremental and Parallel Clustering Algorithm for Very Large Databases
A tool based on concepts used in knowledge representation, to facilitate application design
Enhancing Dynamic Recommender Selection Using Multiple Rules for Trust and Reputation Models in MANETs
Evolving Knowledge Distillation for Lightweight Neural Machine Translation
A Robust Model for Intelligent Text Classification
Memory Efficient Parallel SAT Solving with Inprocessing
Causal Feature Selection for Individual Characteristics Prediction
Improving Prediction Fairness via Model Ensemble
Weighted Nonnegative Matrix Tri-Factorization for Co-clustering
Risk of Future Injuries in Mid/Long-Range Runners: Feasible Rashomon Set of Sparse Decision Trees
Argumentation Frameworks with Higher-Order Attacks: Labellings and Complexity
Efficient Constraint Learning For Stream Reasoning
On Portfolios for Backtracking Search in the Presence of Deadlines
Contextual-Timed Planning Management for Ambient Systems
PointFPN: A Frustum-based Feature Pyramid Network for 3D Object Detection
Automatic Lesion/Tumor Detection Using Intelligent Mesh-Based Active Contour
Image Segmentation Using Spectral Clustering
Application of an Attribute Selection Method to CBR-Based Software Quality Classification
An Algorithm for the Least Square-Fitting of Ellipses
KNOWBEL: a hybrid expert system building tool
Latent Beta Topographic Mapping
Symbolic Anomaly Detection and Assessment Using Growing Neural Gas
Cooperation of LP Solvers for Solving MILPs
Novel Features for Web Spam Detection
A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
Constraint Hierarchies as Semiring-Based CSPs
Automatic Generation of Descriptions of Time-Series Constraints
Large Scale Pattern Recognition System using Hierarchical Neural Network and False-Alarming Nodes
Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification
Distributed Belief Revision versus Distributed Truth Maintenance
Evaluating Logical Queries by Means of Communicating Processes
MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model
KB/RMS: an intelligent assistant for requirement definition
On Finding Approximate Solutions of Qualitative Constraint Networks
Towards an Automatic Validation of Answers in Question Answering
Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making
Tailoring explanations to the user's level of expertise and domain knowledge
Which Words Pillar the Semantic Expression of a Sentence?
Competency-Based Learning Object Sequencing Using Particle Swarms
Knowledge Acquisition Techniques for a Military Planning System
RoboCupRescue System and Arian: A Flexible Infrastructure for Multi-Agent Research and Education
Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims
Detecting Manipulation in Cup and Round Robin Sports Competitions
FMNet: Feature Mining Networks for Brain Tumor Segmentation
Using an Annealing Genetic Algorithm to Solve Global Energy Minimazation Problem
Global min-max Computation for α-Hölder Games
Two-Dimensional Logistic Regression
A New Exploration Method Based on Multi-layer Evidence Grid Map (MLEGM) and Improved A* Algorithm for Mobile Robots
Automatic Recognition of a Baby Gesture
Dynamic Multi-population Artificial Bee Colony Algorithm
Hybrid Feature Selection and Weighting Method Based on Binary Particle Swarm Optimization
Consensus Subspace Clustering
Proof nets for controlling ambiguity in natural language processing
12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 13-15 November 2000, Vancouver, BC, Canada
Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations
Using Dynamic Decision Networks and Extended Fault Trees for Autonomous FDIR
Acquisition of Generic Problem Solving Knowledge through Information Extraction and Pattern Mining
An Empirical Study of Robustness of Network Centrality Scores in Various Networks and Conditions
Random Forests with Stochastic Induction of Decision Trees
Integrating Symbolic Processing and Neural Networks
Multi-Label Learning Via Codewords
Neural-Logic Belief Networks - A Tool for Knowledge Representation and Reasoning
Data Complexity Measures and Nearest Neighbor Classifiers: A Practical Analysis for Meta-learning
S-MEP: A Planner for Numeric Goals
HP Trend Filtering Using Gaussian Mixture Model Weighted Heuristic
Toward the Optimization of a Class of Black Box Optimization Algorithms
Dyadic Multi-resolution Analysis-Based Deep Learning for Arabic Handwritten Character Classification
How to (Re)represent it?
Classifying Documents within Multiple Hierarchical Datasets Using Multi-task Learning
Dynamic Multi-objective Evolutionary Algorithm with Fuzzy Weighted Borda Count Method
An Automatic Online Recruitment System Based on Exploiting Multiple Semantic Resources and Concept-Relatedness Measures
Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic
Learning Useful Macro-actions for Planning with N-Grams
An Adaptive Strategy for Allocation of Resources with Gradually or Abruptly Changing Capacities
Towards Understanding the Role of Learning Models in the Dynamics of the Minority Game
Revisiting Frequent (Closed) Gradual Itemsets Mining
Reasoning about nuclear physics processes
Cooperative Scheduling Among Time-Bounded Agents
Automatic 2D-to-3D Video Conversion using 3D Densely Connected Convolutional Networks
Parallel path-consistency algorithms for constraint satisfaction
A parallel architecture for AI nonlinear planning
Solving the Steiner Tree Problem with few Terminals
Neural Network Specialists for Inverse Spiral Inductor Design
Modeling and Mining Optimal Patterns Using Dynamic CSP
A Non-parametric Conformity-Based Test for Transfer Decisions
Monte-Carlo Planning for Team Re-Formation Under Uncertainty: Model and Properties
Enhanced Unsatisfiable Cores for QBF: Weakening Universal to Existential Quantifiers
A Local-Global Graph Approach for Facial Expression Recognition
Fifth International Conference on Tools with Artificial Intelligence, ICTAI '93, Boston, Massachusetts, USA, November 8-11, 1993
An analysis of Twitter users opinions on vaccines using Machine Learning techniques
Detecting People from Beach Images
LocoMixer: A Local Context MLP-Like Architecture For Image Classification
Detection of Defect Proportion for Workpiece Surface Based on a Fusion Prediction Model
Development of a Pumping System Decision Support Tool Based on Artificial Intelligence
11th IEEE International Conference on Tools with Artificial Intelligence, ICTAI '99, Chicago, Illinois, USA, November 8-10, 1999
Convergence of Estimation of Distribution Algorithms in Optimization of Additively Noisy Fitness Functions
Refining Constraint Weighting
Sentiment-Aware Transformer Using Joint Training
SEED: A Cross-Layer Semantic Enhanced SLU Model With Role Context Differentiated Fusion
Multi-Input Deep Learning Models for Weight Forecasting of Pigs Using Depth Images
Skill-Oriented Hierarchical Structure for Deep Knowledge Tracing
A Constraint-based Approach for Enumerating Gradual Itemsets
Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System
Detecting and Mitigating Security Anomaliies
Knowledge Discovery in Scheme Approximation
An extended framework for evidential reasoning systems
Quality of Heuristic Programs (Panel)
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
A hybrid case-based medical diagnosis system
Hybrid-TE: Hybrid Translation-Based Temporal Knowledge Graph Embedding
Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability
Multi-Omics Data Integration Patient Classification Method Based on Deep Dense Residual Shrinkage Network
Who Speaks Next? Turn Change and Next Speaker Prediction in Multimodal Multiparty Interaction
Bootstrapping Multilingual Relation Discovery Using English Wikipedia and Wikimedia-Induced Entity Extraction
Renyi Entropy Search for Bayesian Optimization
A parallel shape coding on SIMD architecture
JADE - AI Support for Debugging Java Programs
Multi-type Vulnerability Detection with Staged Feature Fusion and Group Data Balance
Application of Neural Networks to Decentralized Control of Robotic Manipulators with High Degree of Freedom
Track-Person Association Using a First-Order Probabilistic Model
A UML-Based Conversion Tool for Monitoring and Testing Multi-agent Systems
Representative Itemset Mining
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Modified Conversational Agent Architecture
On Reusing Linkage Designs
Deep Multi-label Hashing for Image Retrieval
Flexible Pattern Matching with Gap-Length and One-Off Conditions
Knowledge Based Tools for Risk Assessment in Software Development and Reuse
Collision-aware Multi-robot Motion Coordination Deep-RL with Dynamic Priority Strategy
Schedular++: Scheduling with Knowledge Objects
Modeling Long & Short-term Interests and Assigning Sample Weight for Multi-behavior Sequential Recommendation
The Cut Tool for QCSP
Data Mining for Selective Visualization of Large Spatial Datasets
Targeted Mutation: A Novel Mutation Strategy for Differential Evolution
Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory
A Fast Manifold Learning Algorithm for Dimensionality Reduction
New Hybrid Genetic Algorithms for the Frequency Assignment Problem
Spatial Color Histograms for Content-Based Image Retrieval
3D Convolutional Two-Stream Network for Action Recognition in Videos
Controlling the Production of Neuro-symbolic Rules
Math Expression Image Retrieval via Attention-Based Framework
SD-PDMD: Deep Reinforcement Learning for Robotic Trajectory Imitation
Developing Strategies for Improving Planning and Scheduling of Actions in RTS Games
A New Mimicking Attack by LSGAN
Knowledge based architecture to integrate heterogeneous distributed information systems
Federated Learning of Unsegmented Chinese Text Recognition Model
Macro transform approach to solve indecomposable problems
Improved Graph-Based Bilingual Corpus Selection with Sentence Pair Ranking for Statistical Machine Translation
Representing real world phenomena through HDPTN
Image Chromatic Adaptation Using ANNs for Skin Color Adaptation
A Practical Negotiation-Based Team Formation Model for Non-cooperative Social Networks
Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation
Another Step toward Reusability in Agent-Based Simulation: Multi-behaviors & aMVC
A Parallel Radial Basis Probabilistic Neural Network for Scalable Data Mining in Distributed Memory Machines
Boosting Indicator-Based Selection Operators for Evolutionary Multiobjective Optimization Algorithms
Using Fuzzy Theory for Effort Estimation of Object-Oriented Software
EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces
An Evaluation of Methods on Detecting, Recognizing and Understanding Graphics Images in Technical Documents
Error Correction Capability in Chaotic Neural Networks
An Intelligent Anomaly Detection and Reasoning Scheme for VM Live Migration via Cloud Data Mining
A Transformer Model for Predicting Chemical Products from Generic SMARTS Templates with Data Augmentation
A Dimensionality Reduction Approach for Modular Neural Networks
Use of the W/AGE CASE tool in artificial intelligence
Neural network control of a three-link leg
One Approach to Determine Goals in RTS Games Using Maximization of Resource Production with Local Search and Scheduling
Incremental Learning from Scratch Using Analogical Reasoning
TASK: From the Specification to the Implementation
Current and future trends in artificial intelligence architectures and programming languages
Expressing User Intent in Planning by Instance Rewriting
Feature Selection for Vibration Sensor Data Transformed by a Streaming Wavelet Packet Decomposition
Hiding Secret Information by Automatically Paraphrasing Modern Greek Text with Minimal Resources
Controllable Diffusion Models for Safety-Critical Driving Scenario Generation
Detection of Shilling Attack Based on Bayesian Model and User Embedding
A Methodology for Detecting Faces from Different Views
Parallel mining of association rules with a Hopfield type neural network
Multi-Robot Avoidance Based on Co-Evolution Computation
DISVMs: Fast SVMs Training on Large-Scale Data Sets
A Q'tron Neural-Network Approach to Solve the Graph Coloring Problems
Examining the Impact of Feature Selection for Contrastive Learning in Fraud Detection
Scalable Aggregation Under Client-Side Compute Variability in Federated Learning
TLP-GP: New Results on Temporally-Expressive Planning Benchmarks
Enhancing the Quality of Recommendations through Expert and Trusted Agents
Triangulation Versus Graph Partitioning for Tackling Large Real World Qualitative Spatial Networks
Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting
Tools and Experiments for Hybrid Neuro-Symbolic Processing
Use mean field theory to train a 200-layer vanilla GAN
Hybrid CODBA-II Algorithm Coupling a Co-Evolutionary Decomposition-Based Algorithm with Local Search Method to Solve Bi-Level Combinatorial Optimization
Combining Geometric and Photometric Information to Find Lines from Step Edge Detection
How Traders' Appearances and Moral Descriptions Influence Receivers' Choices in the Ultimatum Game
Self-Organizing Traffic Based on Dynamic Platoon Configuration
Projection pursuit learning networks for regression
No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning
Function Approximation Using Robust Wavelet Neural Networks
Document Classification by Computing an Echo in a Very Simple Neural Network
Response Surface Methodology for Optimal Neural Network Selection
Intelligent control of vehicles: preliminary results on the application of learning automata techniques to automated highway system
Combining Link and Content Information for Scientific Topics Discovery
Learning Complicated Navigation Skills from Limited Experience via Augmenting Offline Datasets
Fourth International Conference on Tools with Artificial Intelligence, ICTAI '92, Arlington, Virginia, USA, November 10-13, 1992
Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases
Fuzzy-Empowered Decision Making Integrated with DDDAS-Matrix Profile Framework for Anomaly Detection in Radiation Measurements
Constructing a Simple Visually-Guided Robotic Part-Grasping System with Off-the-Shelf Components
Merging Conflicting Propositional Knowledge by Similarity
Utilizing External Knowledge with Multi-granularity Attention for Review Reading Comprehension