yusuke1997/dblp-id-title huggingface dataset:
An Effective Method of Gait Stability Analysis Using Inertial Sensors
Global Classifier for Confidential Data in Distributed Datasets
A Single-Frame Super-Resolution Innovative Approach
Comparative Study of P, PI, Fuzzy and Fuzzy PI Controllers in Position Control for Omnidirectional Robots
A Decision Tree Induction Algorithm for Efficient Rule Evaluation Using Shannon's Expansion
Logic of Interaction for Multiagent Systems
Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods
On-Line Signature Verification Based on Genetic Optimization and Neural-Network-Driven Fuzzy Reasoning
Evaluation of Information Retrieval Algorithms Within an Energy Documents Repository
Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees
ACO for Solving the Distributed Allocation of a Corporate Semantic Web
Machine Learning-Driven Virtual Reality Intervention for Academic Social Anxiety: A Symbolic AI Prototype
A Graph Cellular Automata Model to Study the Spreading of an Infectious Disease
Generation and Exploitation of Semantic Information Using an Epidemiological Relational Database as a Primary Source of Information
Modeling of Decision-Making Process Relating to Design of Ship Power Plants Safe for Operators
On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset
Voice Content Matching System for Quran Readers
ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem
Statistical Features Based Noise Type Identification
Speed Control of a Wind Turbine Using Fuzzy Logic
Digital Filters Using Adjacency Matrix Representation
Looking Inside Particle Swarm Optimization in Constrained Search Spaces
Characteristics of Most Frequent Spanish Verb-Noun Combinations
Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies
Adaptive-Tangent Space Representation for Image Retrieval Based on Kansei
Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-class
Nature-Inspired Computation and Machine Learning - 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part II
Evolutionary Approach for Construction of the RBF Network Architecture
Complete FPGA Implemented Evolvable Image Filters
Multiscale Functional Autoregressive Model for Monthly Sardines Catches Forecasting
Selection of Characteristics and Classification of DNA Microarrays Using Bioinspired Algorithms and the Generalized Neuron
Navigation Advice from pq-Histograms
Scalability of Multiclass Simulation of Spiking Neural Networks on GPUs
Possibilistic Minimal Models for Possibilistic Normal Programs
FPGA Implementation of Fuzzy System with Parametric Membership Functions and Parametric Conjunctions
The Adaptive Learning Rates of Extended Kalman Filter Based Training Algorithm for Wavelet Neural Networks
Applying Constraint Logic Programming to Predicate Abstraction of RTL Verilog Descriptions
Predicting the Occurrence of Sepsis by In Silico Simulation
Monitoring the Execution of an Intelligent Planning System
A Framework for Interleaving Planning-while-Learning and Execution
A Marriage Theorem Based-Algorithm for Solving Sudoku
Towards Building a Masquerade Detection Method Based on User File System Navigation
A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation
TSP in Partitioning with Tabu Search
On Managing Collaborative Dialogue Using an Agent-Based Architecture
A New Approach for the Automatic Connection of Sensors to an IoT Platform
Document Categorization Based on Minimum Loss of Reconstruction Information
Multi-agent Adaptive Dynamic Programming
Onto Design Graphics (ODG): A Graphical Notation to Standardize Ontology Design
A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problem
Strategic Learning Meta-model: A Selection Model of Learning Activities
Inverse Kinematics Solution for Robotic Manipulators Using a CUDA-Based Parallel Genetic Algorithm
Temporal Reasoning on Chronological Annotation
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models
A Distributed Event Service for Adaptive Group Awareness
Transit Network Frequencies-Setting Problem Solved Using a New Multi-Objective Global-Best Harmony Search Algorithm and Discrete Event Simulation
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game
Novel Unsupervised Features for Czech Multi-label Document Classification
Unification of Source-Code Re-Use Similarity Measures
Chaos and Budworm Dynamics of Agent Interactions: A Biologically-Inspired Approach to Digital Ecosystems
Evaluation of a New Representation for Noise Reduction in Distant Supervision
Memory Based Reasoning and Agents Adaptive Behavior
Advances in Soft Computing - 24th Mexican International Conference on Artificial Intelligence, MICAI 2025, Guanajuato, Mexico, November 3, 2025, Proceedings, Part I
Versatility of Artificial Hydrocarbon Networks for Supervised Learning
Teaching-Learning by Means of a Fuzzy-Causal User Model
The Improvement Direction Mapping Method
A Parametric Polynomial Deterministic Algorithm for #2SAT
Using Randomized Algorithms for Digital Mock-Up in Automotive Industry
MICAI 2002: Advances in Artificial Intelligence, Second Mexican International Conference on Artificial Intelligence, Merida, Yucatan, Mexico, April 22-26, 2002, Proceedings
Compilation of Symbolic Knowledge and Integration with Numeric Knowledge Using Hybrid Systems
A Proposal of an Empirical Methodology to Approximate an Electroencephalographic Signal with Appropriate Representatives of the Fourier Transformation
A Set of Test Cases for Performance Measures in Multiobjective Optimization
A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images
Kinesthetic Guided with Graphotherapeutic Purposes
Bayesian Chain Classifier with Feature Selection for Multi-label Classification
Update Sequences Based on Minimal Generalized Pstable Models
Identification of Vowel Sounds of the Choapan Variant of Zapotec Language
Pulsed Neural Network Plus Parallel Multi-core Approach to Solve Efficiently Big Shortest Path Problems
Color Quantification in Common Bean Landraces Using a Supervised Learning Technique
A Novel Approach for Face Authentication Using Speeded Up Robust Features Algorithm
A Performative-Based Information Capacity Calculation Metric for MultiAgent Interaction Protocols
Control by Learning in a Temperature System Using a Maximum Sensibility Neural Network
Automatic Story Generation: State of the Art and Recent Trends
Relationship between Petri Nets and Cellular Automata for the Analysis of Flexible Manufacturing Systems
Detecting Deviations in Text Collections: An Approach Using Conceptual Graphs
Coordination Through Plan Repair
Evaluation-Based Semiring Meta-constraints
CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling
Word-Order Analysis Based Upon Treebank Data
Path Planning Using a Single-Query Bi-directional Lazy Collision Checking Planner
Towards a Personality Fuzzy Model Based on Big Five Patterns for Engineers Using an ANFIS Learning Approach
Expert System for Teaching Classification Systems Workflow
DeWaLoP In-Pipe Robot Position from Visual Patterns
On the Model Checking of the Graded μ-calculus on Trees
Discrete-Time Quasi-Sliding Mode Feedback-Error-Learning Neurocontrol of a Class of Uncertain Systems
Web-Based Intelligent Service for Coalition Operation Support in Networked Organizations
A Pseudo-Relevance Feedback Based Method to Find Comprehensive Web Documents
Language Independent Passage Retrieval for Question Answering
A Similarity-Based Approach to Data Sparseness Problem of Chinese Language Modeling
Improving Neural Machine Translation for Low Resource Languages Using Mixed Training: The Case of Ethiopian Languages
Advances in Computational Intelligence - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I
NATLOC: Natural Language Object Localization
Description Logic Programs: A Paraconsistent Relational Model Approach
Enabling Intelligent Organizations: An Electronic Institutions Approach for Controlling and Executing Problem Solving Methods
How Context and Semantic Information Can Help a Machine Learning System?
Compiling Multiply Sectioned Bayesian Networks: A Comparative Study
Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms
A Hybrid Model Based on Neural Networks for Financial Time Series
A Fuzzy Embedded GA for Information Retrieving from Related Data Set
A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem
Scene Modeling by ICA and Color Segmentation
Belief Merging Using Normal Forms
Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach
Times Series Discretization Using Evolutionary Programming
A Comparative Study of Harmony Search Algorithms for Improving the Training Process of Extreme Learning Machines
Effects of Inter-agent Communication in Ant-Based Clustering Algorithms: A Case Study on Communication Policies in Swarm Systems
Next-Best-View Planning for 3D Object Reconstruction under Positioning Error
Information Retrieval with a Simplified Conceptual Graph-Like Representation
Long-Term Exploration in Persistent MDPs
Towards Constant Calculation in Disjunctive Inequalities Using Wound Treatment Optimization
Algotrading R2ED: A Machine Learning Approach
A Mutation-Selection Algorithm for the Problem of Minimum Brauer Chains
A Survey on Freezing of Gait Detection and Prediction in Parkinson's Disease
Visualizing the Cosmos: A Novel Method for Text Recombination with Space News
Building a Diverse Ensemble for Classification
Comparing Distance Measures with Visual Methods
Analysis of Performance of Fuzzy Logic-Based Production Scheduling by Simulation
Nonlinear Control of a Two-Wheeled Self-balancing Autonomous Mobile Robot
SAT Encoding and CSP Reduction for Interconnected Alldiff Constraints
Automated Facial Expression Analysis for Cognitive State Prediction During an Interaction with a Digital Interface
FPGA-Based Architecture for Extended Associative Memories and Its Application in Image Recognition
Support to the Diagnosis of the Pap Test, Using Computer Algorithms of Digital Image Processing
Phrase Chunking for Efficient Parsing in Machine Translation System
Recognition of Paralinguistic Information in Spoken Dialogue Systems for Elderly People
Weighting Query Terms towards Multi-faceted Information Fusion of Market Data
Regulating Social Exchanges Between Personality-Based Non-transparent Agents
A Study of Parameter Dynamic Adaptation with Fuzzy Logic for the Grey Wolf Optimizer Algorithm
Ventilator Pressure Prediction Using a Regularized Regression Model
Advances in Computational Intelligence - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part II
Towards an Automatic Estimation of Skeletal Age Using k-NN Regression with a Reduced Set of Tinny Aligned Regions of Interest
Causal Based Action Selection Policy for Reinforcement Learning
Neural Network Modelling for Dissolved Oxygen Effects in Extensive Litopenaeus Vannamei Culture
Sensorial System for Obtaining the Angles of the Human Movement in the Coronal and Sagittal Anatomical Planes
Emotion Estimation Algorithm Based on Interpersonal Emotion Included in Emotional Dialogue Sentences
Collaborative Data Mining on a BDI Multi-agent System over Vertically Partitioned Data
On-Line Learning of Decision Trees in Problems with Unknown Dynamics
A Conic Higher Order Neuron Based on Geometric Algebra and Its Implementation
Automatic Construction of Bayesian Network Structures by Means of a Concurrent Search Mechanism
The Blade Runner Scene. How Human-Machine Contact Incarnates Social Interaction
Integrating Information of Films by a Multi-source Combining Framework
Applying the GFM Prospective Paradigm to the Autonomous and Adaptative Control of a Virtual Robot
A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor
Building Optimal Operation Policies for Dam Management Using Factored Markov Decision Processes
Preferences for Argumentation Semantics
Jensen Inequality with Subdifferential for Sugeno Integral
Efficiency Analysis of Particle Tracking with Synthetic PIV Using SOM
Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers
A Profilometric Approach for 3D Reconstruction Using Fourier and Wavelet Transforms
Cleaning Binary Distortion on MNIST Dataset
The Design of Multi-agent System for the Solution of School Timetabling Problem
Recognizing Textual Entailment in Non-english Text via Automatic Translation into English
Data-Driven Adaptive Force Control for a Novel Soft-Robot Based on Ultrasonic Atomization
A Parallel Solver for Markov Decision Process in Crowd Simulations
Sentence Paraphrase Graphs: Classification Based on Predictive Models or Annotators' Decisions?
Feature Selection for Automatic Classification of Gamma-Ray and Background Hadron Events with Different Noise Levels
An Experimental Evaluation of Data Mining Algorithms Using Hyperparameter Optimization
Using Different Cost Functions to Train Stacked Auto-Encoders
Modeling Prey-Predator Dynamics via Particle Swarm Optimization and Cellular Automata
An Analysis of Recombination in Some Simple Landscapes
Application of the Few-Shot Algorithm for the Estimation of Bird Population Size in Chihuahua and Its Ornithological Implications
Heuristic Methods for Hypertree Decomposition
Water Cycle Algorithm with Fuzzy Logic for Dynamic Adaptation of Parameters
Applying Natural Language Processing to Short Medical Notes from Mexican Health Units to Detect Suicidal Behaviors
Strong Probabilistic Planning
An Improved Automated Definition Extraction Method Based on Lexicographic and Lexico-Semantic Features
Modeling, Design and Construction of Articulated Hand for Use in Prosthetics, with Adaptive Control in Neural Networks Based on Mathematical Model for Finger
Biometrics and Data Mining: Comparison of Data Mining-Based Keystroke Dynamics Methods for Identity Verification
Dialog Structure Automatic Modeling
An Efficient Expert System for Diabetes with a Bayesian Inference Engine
Continual Learning for Multi-camera Relocalisation
Financial News Summarization: Can Extractive Methods Still Offer a True Alternative to LLMs?
MICAI 2000: Advances in Artificial Intelligence, Mexican International Conference on Artificial Intelligence, Acapulco, Mexico, April 11-14, 2000, Proceedings
Supervised and Unsupervised Neural Networks: Experimental Study for Anomaly Detection in Electrical Consumption
Dialogue Structure Influence Over Anaphora Resolution
A Motion Planning Strategy for Rapidly Finding an Object with a Mobile Manipulator in 3-D Environments
Dependency Language Modeling Using KNN and PLSI
From Anamnesis to Algorithm: A Clinical Framework for the Design of Artificial Intelligence Focused on Medical Workflow
A Fault Detection System Design for Uncertain T-S Fuzzy Systems
Prediction of Social Ties Based on Bluetooth Proximity Time Series Data
A Refined Evaluation Function for the MinLA Problem
Modeling Emotion-Influenced Social Behavior for Intelligent Virtual Agents
On a Relative MaxSAT Encoding for the Steiner Tree Problem in Graphs
Risks Inside-Out
An Improved Training Algorithm of Neural Networks for Time Series Forecasting
A Topological SPLAM Approach for Robust Exploration
Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET
Clustering of Heterogeneously Typed Data with Soft Computing - A Case Study
Optimization of Modular Neural Networks for Pattern Recognition with Parallel Genetic Algorithms
A Soundex-Based Approach for Spoken Document Retrieval
Hybridization of Evolutionary Mechanisms for Feature Subset Selection in Unsupervised Learning
Advanced Transfer Learning Approach for Improving Spanish Sentiment Analysis
Prediction of Silkworm Cocoon Yield in China Based on Grey-Markov Forecasting Model
Towards a Pareto Front Shape Invariant Multi-Objective Evolutionary Algorithm Using Pair-Potential Functions
Domain and Competences Ontologies and Their Maintenance for an Intelligent Dissemination of Documents
Magnetic-Field Feature Reduction for Indoor Location Estimation Applying Multivariate Models
Possibilistic Well-Founded Semantics
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
An Exploration Approach for Indoor Mobile Robots Reducing Odometric Errors
MultiAgent Planning: A Resource Based Approach
Lips Shape Extraction Via Active Shape Model and Local Binary Pattern
A Simple but Powerful Word Polarity Classification Model
Easy for Us, Complex for AI: Assessing the Coherence of Generated Realistic Images
Some Implications of System Dynamics Analysis of Discrete-Time Recurrent Neural Networks for Learning Algorithms Design
A Time Complexity Analysis to the ParDTLT Parallel Algorithm for Decision Tree Induction
Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion
Recognizing Textual Entailment Using a Machine Learning Approach
A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs
A Multilingual SVM-Based Question Classification System
Analysis of Convolutional Neural Network Models for Classifying the Quality of Dried Chili Peppers (Capsicum Annuum L)
EventNet: Inferring Temporal Relations Between Commonsense Events
Applying Rogerian Psychologist in Human-Computer Interaction: A Case Study
Intra-document and Inter-document Redundancy in Multi-document Summarization
AE-CharCNN: Char-Level Convolutional Neural Networks for Aspect-Based Sentiment Analysis
Full Model Selection in Big Data
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam
A Kernel Method for Classification
Using Ant Colony Optimization and Self-organizing Map for Image Segmentation
Exploitation of Deaths Registry in Mexico to Estimate the Total Deaths by Influenza Virus: A Preparation to Estimate the Advancement of COVID-19
Using NIAR k-d Trees to Improve the Case-Based Reasoning Retrieval Step
Evaluation of RDF(S) and DAML+OIL Import/Export Services within Ontology Platforms
Artificial Neural Network for Optimization of a Synthesis Process of γ-Bi2MoO6 Using Surface Response Methodology
Robustness of LSTM Neural Networks for the Enhancement of Spectral Parameters in Noisy Speech Signals
INDIE: An Artificial Immune Network for On-Line Density Estimation
Evolutionary Method for Nonlinear Systems of Equations
A New Approach to Weakening and Destruction of Malicious Internet Networks
Classification of Different Vegetation Types Combining Two Information Sources Through a Probabilistic Segmentation Approach
Using Boolean Differences for Discovering Ill-Defined Attributes in Propositional Machine Learning
Automatic Monitoring the Content of Audio Broadcasted by Internet Radio Stations
Learning Neural Radiance Fields of Forest Structure for Scalable and Fine Monitoring
Predictive Control Based on an Auto-regressive Neuro-fuzzy Model Applied to the Steam Generator Startup Process at a Fossil Power Plant
Real-Time Emotion Recognition Using Convolutional Neural Network: A Raspberry Pi Architecture Approach
Impact Evaluation of Multimodal Information on Sentiment Analysis
SERS and ANFIS: Fast Identification of the Presence of Retrovirus in CD4 Cells, Cause of AIDS
Interlinguas: A Classical Approach for the Semantic Web. A Practical Case
A Framework Based on Eye-Movement Detection from EEG Signals for Flight Control of a Drone
A Polynomial Algorithm for 2-Cyclic Robotic Scheduling
An Ontology for Mobile Video Games
Unilateral Weighted Jaccard Coefficient for NLP
A Novel Hybrid System with Neural Networks and Hidden Markov Models in Fault Diagnosis
Textual Entailment Beyond Semantic Similarity Information
Methods and Algorithms of Information Generalization in Noisy Databases
Blood Cell Image Segmentation Using Convolutional Decision Trees and Differential Evolution
Using Activity Theory and Causal Diagrams for Designing MultiAgent Systems That Assist Human Activities
Comparison Methods for Fuzzy C-Means Initialization Applied to Image Segmentation
Robust Text-Independent Speaker Identification Using Hybrid PCA&LDA
The MineSP Operator for Mining Sequential Patterns in Inductive Databases
An Adaptive Robotic Assistance Platform for Neurorehabilitation Therapy of Upper Limb
Hardware Implementation of Artificial Neural Networks for Arbitrary Boolean Functions with Generalised Threshold Gate Circuits
Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part I
Challenges in Ontology Alignment and Solution to the Contradictory Evidence Problem
Knowledge-Based System for Diagnosis of Metabolic Alterations in Undergraduate Students
Introducing Simulated Annealing in Partial Order Planning
Towards a Classification of Binary Similarity Measures
Data-Driven Construction of Local Models for Short-Term Wind Speed Prediction
Studying Special Operators for the Application of Evolutionary Algorithms in the Seek of Optimal Boolean Functions for Cryptography
Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network
A New Person Tracking Method for Human-Robot Interaction Intended for Mobile Devices
Similarity Based on Data Compression
Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption
Using Wolfe's Method in Support Vector Machines Learning Stage
Modeling of a Coupled Industrial Tank System with ANFIS
Design of an Evolutionary Codebook Based on Morphological Associative Memories
Learning Probabilistic Grid-Based Maps for Indoor Mobile Robots Using Ultrasonic and Laser Range Sensors
Predicting and Classifying Contaminants in Mexican Water Bodies: A Machine Learning Approach
Person Authentication Based on Standard Deviation of EEG Signals and Bayesian Classifier
Smartphone-Based Fuel Identification Model for Wildfire Risk Assessment Using YOLOv8
A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
Gaze Detection by Dual Camera and Dual IR-LED Illuminators
A Logic for Context-Aware Non-monotonic Reasoning Agents
A Diversity Production Approach in Ensemble of Base Classifiers
Terrain Classification-Based Dynamic Trajectory Tracking Controller for Mobile Robots
Aggressive Text Detection for Cyberbullying
Two Adaptive Methods Based on Edge Analysis for Improved Concealing Damaged Coded Images in Critical Error Situations
Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing
Whole-Part Relations Rule-Based Automatic Identification: Issues from Fine-Grained Error Analysis
Infant Cry Classification to Identify Hypoacoustics and Asphyxia with Neural Networks
Diagnosis of Cervical Cancer Using the Median M-Type Radial Basis Function (MMRBF) Neural Network
Feed Forward Classification Neural Network for Prediction of Human Affective States Using Continuous Multi Sensory Data Acquisition
Deformation and Residual Stress Based Multi-Objective Genetic Algorithm for Welding Sequence Optimization
Gentrification Prediction Using Machine Learning
Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms
Modifications to the Credit Apportionment Mechanism of a Simple Classifier System
On the Extended Specific Objectivity of Some Pseudo-Rasch Models Applied in Testing Scenarios
Knowledge Acquisition and Automatic Generation of Rules for the Inference Machine CLIPS
iEnsemble: A Framework for Committee Machine Based on Multiagent Systems with Reinforcement Learning
Simulated Annealing Applied to LUT-Based FPGA Technology Mapping
Hybrid Method for Detecting Masqueraders Using Session Folding and Hidden Markov Models
Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram