yusuke1997/dblp-id-title huggingface dataset:
An Immune-Inspired Evolution Strategy for Constrained Optimization Problems
Applying Similarity Measures for Automatic Lemmatization: a Case Study for Modern Greek and English
Web Misuse Detection through Text Categorisation of Application Server Logs
Handling Ambiguous Values in Instance-Based Classifiers
An Introduction to an Egocentric Concept of Machine Intelligence
Heuristics for a Default Logic Reasoning System
Secure P2P Cross-Community Health Record Exchange in IHE Compatible Systems
Words versus Character n-Grams for Anti-Spam Filtering
String Formation and Obstacle Avoidance for Multiple Autonomous Agents
Modeling Method of Tax Management System Based on Artificial Intelligence
Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review
Bridging Jeffrey's Rule, AGM Revision and Dempster Conditioning in the Theory of Evidence
Examples as Interaction: on Humans Teaching a Computer to Play a Game
Alternative Wheelchair Control Involving Intentional Muscle Contractions
Weighted naïVE Bayes for Text Classification Using positive Term-Class Dependency
COVID-Attention: Efficient COVID19 Detection Using Pre-trained Deep Models Based on Vision Transformers and X-ray Images
Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning
An Intelligent Deep Learning Enabled Marine Fish Species Detection and Classification Model
Intelligent Adaptive Control of Non-linear Systems Based on Emotional Learning Approach
Construction Method of Subjective Model Expressing Color Impressions
Genetic Learning for Biologically Inspired Aesthetic Processes
Numerical Negative Selection Algorithm
Experimental Assessment of Differential Evolution with Grid-Based Parameter Adaptation
Representing Time and Space for the Semantic Web
Conformal Region Classification with Instance-Transfer Boosting
Named Entity Recognition in Greek Texts with an Ensemble of SVMs and Active Learning
Large Scale Multikernel Relevance Vector Machine for Object Detection
Efficient Path-Consistency Propagation
Spin: the Sequential Pipelined Neuroemulator
Eikones - A Language for Image Processing-Analysis-Pattern Recognition
Prototype Classifier Design with Pruning
Smart IoT Application in Soil Moisture and Heat Level Prediction Using Sine Cosine-Horse Herd Optimized Deep Learning
Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News
Semantic Field: a Theoretical Perspective of Modeling Information Retrieval
Extraction and Clustering of Two-Dimensional Dialogue Patterns
A Hybrid Stochastic-Connectionist Approach to Gesture Recognition
FAOD: Fast Automatic Option Discovery in Hierarchical Reinforcement Learning
Predicting Integer Overflow Errors via Supervised Learning
Consolidating Heterogeneous Enterprise Data for Named Entity Linking and Web Intelligence
Parameter Setting for Deep Neural Networks Using Swarm Intelligence on Phishing Websites Classification
A Comparison of Neural Network Model Selection Strategies for the Pricing of s&p 500 Stock Index Options
Recent Domain-Specific Applications of Artificial Intelligence Using IoT
Formalization and Modeling of Rules Using the XTT2 Method
Decision Theory, an Unprecedented Validation Scheme for Rough-Fuzzy Clustering
Exact Knowledge Hiding in Transactional Databases
A Commercial Off-the-Shelf Implementation of an Analog Neural Computer
Spiral Dynamics Algorithm
Clustering with Minimum Spanning Trees
Artificial Immune System-Based Learning Style Stereotypes
Robust Direct Adaptive Controller for a Class of Nonlinear Systems Based on Neural Networks and Fuzzy Logic Systems
Nature Inspired Intelligence in Medicine: Ant Colony Optimization for Pap-Smear Diagnosis
A Genetic Approach for Long Term Virtual Organization Distribution
Domain knowledge acquisition and plan recognition by probabilistic reasoning
Semantic Derivation Verification: Techniques and Implementation
A Petri-Nets Based Approach for Workflow and Process Automation
Deep Learning Approach for Multi-class Semantic Segmentation of UAV Images
Optimized Neural Network Architectures for Brain Tumor Classification and Precision Medicine
Spoken Language Understanding with a Novel Simultaneous Recognition Technique for Intelligent Personal Assistant Software
Glossa - A Formal Language as a Mapping Mechanism of NL Sentences into SPN State Machine for Actions/Events Association
Cdm: an Approach to Learning in Text Categorization
Pnfs: Personalized Web News Filtering and Summarization
Prediction Method of Human Group Emotion Perception Tendency Based on a Machine Learning Model
Learning from Examples in Universe of Discourse Described by a Set of equations
Data-Driven Audio Feature Space Clustering for Automatic Sound Recognition in Radio Broadcast News
Stable Decision Trees: Using Local Anarchy for Efficient Incremental Learning
Effects of SVM Parameter Optimization Based on the Parameter Design of Taguchi Method
Pinakas: A Methodology for Deep Analysis of Tables in Technical Documents
Lamarckian Learning in Clonal Selection Algorithm for Numerical Optimization
Directed Policy Search for Decision Making Using Relevance Vector Machines
DSM-IDM-YOLO: Depth-wise Separable Module and Inception Depth-wise Module Based YOLO for Pedestrian Detection
PAC-UNet: Parallel Dual Self-Attention with Convolution for Meniscal MRI Image Segmentation
On the Learning of System Call Attributes for Host-based Anomaly Detection
Responsive Mixed-initiative System for Reoptimization of Mixed-integer Programming
Overcoming the Limitations of Learning-Based VQA for Counting Questions with Zero-Shot Learning
Effective Computational Reuse for Energy Evaluations in Protein Folding
Comparison and Evaluation of a Class of IDA* Algorithms
Modelling Robotic Cognitive Mechanisms by Hierarchical Cooperative Coevolution
Solving Constrained Global Optimization via Artificial Immune System
Production-Graph: a Graph Theoretical Model for Checking Knowledge Base Anomalies
Data Mining Using MLC a Machine Learning Library in C++
A Study on Chinese-English Machine Translation Based on Migration Learning and Neural Networks
Learning Student Intents and Named Entities in the Education Domain
A Graph Matching Algorithm and Its Application to Conceptual System Translation
Gene Classification Artificial Neural System
Guest Editor's Introduction: Interweave Knowledge and Data
Discriminative Learning of Visual Data for Audiovisual Speech Recognition
Hybrid Technology for Self-Organization of Resources of Pervasive Environment for Operational Decision Support
Mining Trust Values from Recommendation Errors
A Study of the Impact of Base Traditional Learners on Transfer Learning Algorithms
Multi-Objective Optimization in Multi-Attribute and Multi-Unit Combinatorial Reverse Auctions
Intelligent Information Agents in the Internet and the WWW Age - Preface
A New Ensemble Learning Algorithm using Regional Classifiers
What the eye did not See - a Fusion Approach to Image coding
Bayesian Retrieval using a Similarity-Based Lemmatizer
Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm
Epileptic Seizure Detection in EEG Signal Using Optimized Convolutional Neural Network with Selected Feature Set
Araucaria: Software for Argument Analysis, Diagramming and Representation
Incremental Subclass Support Vector Machine
Genericity in Evolutionary Computation Software Tools: Principles and Case-study
Beyond ROUGE: A Comprehensive Evaluation Metric for Abstractive Summarization Leveraging Similarity, Entailment, and Acceptability
Evolutionary Neural Logic Networks in Splice-junction Gene Sequences Classification
Iterative Self-Labeling Domain Adaptation for Linear Structured Image Classification
Topological Machine Learning for Mixed Numeric and Categorical Data
Automatic Extraction of Semantic Relations from Wikipedia
Community Detection Using Fireworks Optimization Algorithm
Top-k Learned Clauses for Modern SAT Solvers
Neuro-Fuzzy Based Search Robot for Software Components
A Prototype for Educational Planning Using Course Constraints to Simulate Student Populations
Multi-Objective Oriented Categorization Based on the Coalitional Game Theory
Discovering Common Structural Motifs of Ribosomal Rna Secondary Structures in Prokaryotes
A Tool System for Knowledge-Based on-Line Diagnosis in Industrial Automation
Incremental Coordination for Time-Bounded Agents
Towards Pattern-Based Reasoning for Friendly Ontology Debugging
New AI Techniques for Combinatorial Optimization
Transforming Supervised Classifiers for Feature Extraction (Extended Version)
Dense Structural Expectation maximisation with Parallelisation for Efficient Large-Network Structural Inference
A Hybrid Electro-Optical Architecture for Classification Trees and Associative Memory Mechanisms
A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds
Wearable Device Based on IoT in the Healthcare System for Disease Detection and Symptom Recognition
Submodularity-Based Decomposing for Valued CSP
Mutating real-valued vectors using angular displacement
Statistical Model Selection Method to Analyze Combinatorial Effects of Snps and Environmental Factors for Binary Disease
A Hierarchical Reasoning System for Automatic Program Parallelization
A Model for Object Relational OLAP
Linear Logic as a Tool for Qualitative and Quantitative Analysis of Workow Processes
Minimization of Makespan and Total Completion Time for Hybrid Job Shop Scheduling Problem Using Genetic Approaches
An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels
Application of Morphosyntactic and Class-Based Language Models in Automatic Speech Recognition of Polish
Dynoraii: a Real-Time Planning Algorithm
Three Dimensional Measurement System for the Dynamic Deformation of Aero-engine Blade Profile
On the Accelerated Convergence of the Decentralized Event-triggered Algorithm for Convex Optimization
Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring
Hybrid Classifier for Crowd Anomaly Detection with Bernoulli Map Evaluation
Subsampled Model Aggregation
Leveraging Multi-Modal Generative Adversarial Networks (GANs) for Synthetic Crime Data Simulation
Representation Shifts Using Knowledge Compilation
A Model Based on Influence Diagrams for Multi-Criteria Decision-Making
Cellular Automata Approach to Aircraft Corrosion Growth
Uflibrary: a Simulation Library Implementing the Utility Function Method for Behavioral Organization in Autonomous Robots
Genome-Wide Prediction of Coaxial Helical Stacking Using Random Forests and Covariance Models
First Attempt to Predict User Memory from Gaze Data
A Wikipedia-Based Framework for Collaborative Semantic Annotation
A Deep Learning-Based Reliable Link Prediction Model for Achieving Traffic-Aware Routing in Mobile Ad-hoc Networks
Piecewise Linear Representation Segmentation in Noisy Domains with a Large Number of Measurements: the Air Traffic Control Domain
From XSAT to SAT by Exhibiting Boolean Functions
Atrippi: an Atom-Residue Preference Scoring Function for protein-protein Interactions
A Hybrid CNN Model for Deep Feature Extraction for Diabetic Retinopathy Detection and Gradation
L-G Graphs and Voronoi Diagrams Based Recognition of Incomplete Objects Using the Standard Six-views: A First Study
On the Relationships between Clustering and Spatial Co-Location Pattern Mining
Awareness Evaluation of Patients in Vegetative State Employing Eye-gaze Tracking System
Short-Term Trend Prediction of Foreign Exchange rates with a Neural-Network Based Ensemble of Financial Technical indicators
An Efficient Deep Learning Mechanism for Predicting Fake News/Reviews in Twitter Data
A Distributed Cooperating Constraints Solving System
Network Traffic Classification Using Deep Learning
A Two-Level Recurrent Neural Network Language Model Based on the Continuous Bag-of-Words Model for Sentence Classification
Transfer Learning-based Hybrid Approach for Bayesian Network Structure Learning
Source Digital Voice Recorder Identification by Wavelet Analysis
GRU-corr Neural Network Optimized by Improved PSO Algorithm for Time Series Prediction
Intelligent Retrieval for Biodiversity
Optimized Technique for Dna Structural Properties Discovering
Keyboard Layout Optimization and Adaptation
Occluded Face Recognition Based on Block-Label and Residual
Evaluation of Image Forgery Detection Using Multi-Scale Weber Local Descriptors
Analysis of Multidimensional Xor Classification Problem with Evolutionary Feedforward Neural Networks
A Compact Hybrid Evolutionary Algorithm for Large Scale Instance Matching in Linked Open Data Cloud
Fast Violence Recognition in Video Surveillance by Integrating Object Detection and Conv-LSTM
Effect of Spatial Percolation on the convergence of a Graph Coloring Boid Swarm
Visual Target Tracking, Extraction and Recognition from a Sequence of Images Using the LG Graph Approach
The OK BDI Architecture
An Application of a Recurrent Neural Model for Parsing Natural Language
Speech Enhancement for Robust Speech Recognition in Motorcycle Environment
Double-inputs Illumination Pattern Recognizing Model with Automatic Shadow Detection Network in a Single Face Image
An Effective Depression Diagnostic System Using Speech Signal Analysis Through Deep Learning Methods
Dynamics for a Fundamental Problem of Biological Information Processing
Redundancy Elimination in Highly Parallel solutions of Motion Coordination Problems
A Novel Machine Learning Model to Predict the Staying Time of International Migrants
Music Emotion Intensity Estimation Using Transfer Ordinal Label Learning Under Heterogeneous Scenes
An Intelligent Path Planning Approach for Humanoid Robots Using Adaptive Particle Swarm Optimization
Swarm Directions Embedded differential Evolution for Faster convergence of Global Optimization Problems
A Generate-And-Sense Approach to Automated Music Composition
A Finite State Comma Tagger
A Novel Hybrid Optimization-based Backstepping Fractional Order Sliding Mode Proportional-integral-derivative Controller for Nonlinear Biological System
A New Indirect Adaptive Neural Control for Nonlinear Systems: A Real Validation on a Chemical Process
Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review
Episodes in Space: Qualitative Representation and Reasoning Over Spatio-Temporal Objects
Genetic Algorithms and Reinforcement Learning for the Tactical Fixed Interval Scheduling Problem
Toward Responsible AI: A Framework for Ethical Design Utilizing Deontic Logic
Developing Natural and Intuitive Video-Mediated Collaboration - Nivmc System
A Multi-Level Approach for Change Detection of Buildings Using Satellite Imagery
Virtual Model Based Adaptive Dynamic Control of a Biped Walking Robot
Editorial: Special Issue on Selected Papers from the 33rd Annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2021)
Coupling Dynamic Programming with Machine Learning for Horizon Line Detection
Building Consistencies for Partially Defined Constraints with Decision Trees and Neural Networks
CoABCMiner: An Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony
Gene Classification Using Expression Profiles: A Feasibility Study
Salience-adaptive Painterly Rendering Using Genetic Search
Building Search Methods with Self-Confidence in a Constraint Programming Library
A- and V-Uncertainty: an Exploration about Uncertainty Modeling from a Knowledge Engineering Perspective
Natural Language Processing within a Slot Grammar Framework
Modiso: a Tool for Building Contract Dispute Resolution Systems
A Hybrid Knowledge Engineering Development Environment (Kede)
Path Planning for Mobile Robots Using Transfer Reinforcement Learning
Nenok - a Software Architecture for Generic Inference
Unexpectedness as a Measure of Semantic Learning When Training Transformer Models
On Admissible Consensuses
3d Object Feature Extraction Based on Shape Similarity
Users' Click and Bookmark Based Personalization Using Modified Agglomerative Clustering for Web Search Engine
Improving McDiarmid Tree Performance for Predicting Heart Disease from Data Streams with Missing and Meaningless Values
Determining the Principles Underlying Performance Variation in CSP Heuristics
Variable Neighborhood Descent for the Unrelated Parallel Machine Scheduling Problem
Information Blending in Virtual Associative Networks: A New Paradigm for Sensor Integration
A Heuristic Scheduling Approach to the Dedicated Machine Constraint
Fast, Multi-Modal and discontinuity-Preserving Image Registration using Mutual Information
Metrics-Guided Reuse
Towards an Ontology Mapping Approach for Security Management
Disorientation and Cognitive Overhead in Hypertext Systems
Deep Understanding of Technical Documents: Part II. Automatic Extraction of Pseudocode
T-Educo: a T-Learning Tutoring Tool that Cares
A Neuro-Fuzzy Arbitrage Semulator for Stock Investing
A Psychogenetic Algorithm for Behavioral Sequence Learning
Milestones for Automated Reasoning with Otter
Momm - Fast Interreduction and Retrieval in Large Libraries of Formalized Mathematics
An Integrated Framework for Suspect Investigation
Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels
Detection and Prediction of Rare Events in Transaction Databases
Evolutionary Simulation-Based Validation
Personal Recommendation Via Heterogeneous Diffusion on Bipartite Network
A Constructive Neural Network Algorithm for Function Approximation Using Locally Fit Sigmoids
Combining Hierarchical Filtering, Fuzzy Logic, and Simulation with Software Agents for IP (Intellectual Property) Selection in Electronic Design
Intelligent Control of a Simulated Running Jointed Leg: The Landing Phase
Behaviour Recognition from Video Content: a Logic Programming Approach
A Rulebase Model for Data and Knowledge Integration in Multiple Systems Environments
Accelerating Training of Feedforward Neural Networks
Smart Educational Learning Strategy with the Internet of Things in Higher Education System
A Collaborative Approach to Construction of Large Scale Distributed Reasoning Systems
A Logical Framework for Concept Learning with Background Knowledge
A Wearable Document Reader for the Visually Impaired: Dewarping and Segmentation
Automatic Generation of Crossword Puzzles
Successive Search Method for Solving Valued Constraint Satisfaction and Optimization Problems
Population-based Metaheuristics for the Dynamic Minimum Cost Hybrid Berth Allocation Problem
Extracting Procedural Knowledge from Software Systems using Inductive Learning in the PM System
Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming
GraphMDP: A New Decomposition Tool for Solving Markov Decision Processes
Next Flight Prediction for PKX's Frequent Flyers
A Polynomial Function Discovery System - FFS
An Efficient Method for Mining Rare Association Rules: A Case Study on Air Pollution
Maintaining Formation of Multiple Robotic Wheelchairs for Smooth Communication
Evaluating Subjective Aspects of HCI on an Example of a Non-Task Oriented Conversational System
Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques
Ranking Web Search Results Exploiting Wikipedia
Learning Feature Weights from Similarity Information
Sequence Similarity Search Using Discrete Fourier and Wavelet Transformation Techniques
Universal Algorithms for Probability Forecasting
Preprocessing in Propositional Satisfiability Using Bounded (2, k )-Consistency on Regions with a Locally Difficult Constraint Setup
A Customizable Fuzzy System for Offline Handwritten Character Recognition
Evolutionary Search in the Space of Rules for Creation of New Two-Player Board Games
Cross Entropy Method Meets Local Search for Continuous Optimization Problems
Keyword extraction from a single document using word co-occurrence statistical information
Identifying Overlapped Objects for Video Indexing and Modeling in Multimedia Database Systems
An Improved Population Based Optimization Solution Method by Combining Local and Global Searching
Automatic Pedestrian Segmentation Combining Shape, Puzzle and Appearance
A Clinical Kidney Intelligence Platform Based on Big Data, Artificial Intelligence, and Blockchain Technology
Guiding Constructive Search with Statistical Instance-Based Learning
Revisiting the Learned Clauses Database Reduction Strategies
Using Kernels to Harness the Complexity of Big Data Applications
Biometric Template Protection Using Spiral Cube: Performance and Security Analysis
Hazardous Material Identification Using a Neurofuzzy Methodology
Applications of Harmony Search Algorithms in Engineering
A Theory Revision Approach for Concept Learning
Research on Intelligent Digital Manufacturing Platform Based on Artificial Intelligence Deep Neural Network
A Novel Diversity-Based Semi-Supervised Learning Framework with Related Theoretical Analysis
Just.Ask - a Multi-pronged Approach to Question Answering
Going Beyond Explicit Knowledge for Improved Semantic Based Information Retrieval
Ensemble Method of Effective AdaBoost Algorithm for Decision Tree Classifiers
Cascading SVMS as a Tool for Medical Diagnosis Using Multi-class Gene Expression Data
An Object-Based Environment (Opusdei) for Software Development and Maintenance
Using Knowledge Representation for Perceptual Anchoring in a Robotic System
Robust Structured Low-Rank Representation for Image Segmentation
Leveraging Variable Elimination for Efficiently Reasoning about Qualitative Constraints
Learning Fuzzy Classifier Systems: Architecture and Exploration Issues
Wireless Distributed Implementation of a Fuzzy Neural Classification System
A Computational Method for Enforcing Knowledge that Cannot be Subsumed
Mode Analysis During Program Development
Finding the Real Differences Between Learning Algorithms
A Scalable Approach to Harvest Modern Weblogs
Representation of Medical Guidelines with a Computer Interpretable Model
Fuzzy Control Based Stage Phobia Analysis System for Vocal Performers
Compiling Knowledge-Based Systems to Ada: The PrkAda ProTalk Compiler
Efficient Prediction of Seasonal Infectious Diseases Using Hybrid Machine Learning Algorithms with Feature Selection Techniques
Statistical Generalization of Performance-Related Heuristics for Knowledge-Lean Applications
TEMPO: A Temporal Sub-Parser for Modern Greek
Soa-Based Content Delivery Model for Mobile Internet Navigation
Fixed-frequency Current Control Method of Islanding Micro-grid Based on Improved Neural Network
Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression
Direct Algorithms for Finding Minimal Unsatisfiable Subsets in over-Constrained CSPs
An Improved Continuous Tabu Search Algorithm with Adaptive Neighborhood Radius and Increasing Search Iteration Times Strategies
Determination of Neural Network parameters by Information Theory
Simulated Annealing, Its Variants and Engineering Applications
Conflicting Agents in Distributed Search
Estimation of Hybrid Reflectance Properties and Shape Reconstruction Using the LMS Method
Synthetic oversampling of Instances using Clustering
Assessing the Accuracy of AI Tools (Google Translate and Gemini) in Translating Arabic Idiomatic Expressions and Proverbs into English
Specific Constraint Handling in Constraint Satisfaction Problems
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies
Computing with Bees: Attacking Complex Transportation Engineering Problems
Strategy Learning: A Survey of Problems, Methods, and Architectures
Hierarchical Multi-agent System for Sleep Stages Classification
Synchronously Improving Multi-user English Translation Ability by Using AI
Deep Understanding of Technical Documents: An Enhancement on Diagrams Understanding
QHAN: Quantum-inspired Hierarchical Attention Mechanism Network for Question Answering
A Highly Accurate Bootstrapping Algorithm for Word Sense Disambiguation
Structure Discovery in Sequentially-connected Data Streams
An Instance Selection Algorithm Based on ReliefF
Good Appearance and 3D Shape Descriptors for Object Category Recognition
Jazz Melody Generation Using Recurrent Networks and Reinforcement Learning