yusuke1997/dblp-id-title huggingface dataset:
Classifying artifacts and neural EEG components using SVM
Neuroevolved Controller for an Omnidirectional Mobile Robot
Program Synthesis with Generative Pre-trained Transformers and Grammar-Guided Genetic Programming Grammar
Combining a novel feeding operator and recent advances to improve the fish school search
Sentiment Analysis on Brazilian Portuguese User Reviews
Tracking and counting of vehicles for flow analysis from urban traffic videos
Kaizen Programming for predicting numerical linear algebra operations performance
Action Selection Methods in a Robotic Reinforcement Learning Scenario
Convolutional Neural Network for Pleural Effusion Classification
Performance comparison of machine learning models for streamflow forecasting
A Hybrid Model With Error Correction for Wind Speed Forecasting
General Cephalometric Landmark Detection for Different Source of X-Ray Images
Images segmentation by using differential evolution with constraints handling
Applying one-class learning algorithms to predict phage-bacteria interactions
Leveraging Previous Facial Action Units Knowledge for Emotion Recognition on Faces
Using Deep Learning Predictors and Latent Dirichlet Allocation to Identify Key Issues Affecting Clients in Chilean Restaurants
Time Series Forecasting using NARX and NARMAX models with shallow and deep neural networks
Concurrent design optimization of the Delta manipulator
A Transfer Learning Approach for the Tattoo Classification Problem
TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance
Temperature and Relative Humidity Prediction in Swine Livestock Buildings
Entropy-driven ECG Arrhythmia Classification
Finding Frequent Patterns in a Technological Education Program of Pernambuco, Brazil
Application of genetic algorithms to the solution of the biomagnetic inverse problem, using data acquired by a 16-Channel SQUID system
Anomaly detection in smart houses: Monitoring elderly daily behavior for fall detecting
Optimization of Walking Control of a Biped Robot using Differential Evolution
Sentiment analysis using convolutional neural network with fastText embeddings
A protocol for Brain-Computer Interfaces based on Musical Notes Imagery
Comparing Machine Learning Techniques for Dementia Diagnosis
Forecasting Imminent Failures in Electrical Industrial Centrifuge using Machine Learning
Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning
Routing and Spectrum Assignment in Elastic Optical Networks through a Hybrid Approach based on K-Shortest Paths and Q-Learning
A Granular Synthesis Strategy Based on Musical Harmony Theory Through a Fuzzy Logic Approach
Improving Neural Style Transfer by Incorporating Mid-Level Representation
A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems
A Survey on Security Concerns and Their Actual Solutions for using FPGAs in Cloud Computing
Real-time neural backstepping control for a helicopter prototype
Hierachical classification structure based on SVM for volcano seismic events
Fire Detection based on a Two-Dimensional Convolutional Neural Network and Temporal Analysis
Explainable Artificial Intelligence - An Analysis of the Trade-offs Between Performance and Explainability
Long Short-Term Memory Neural Networks for Identifying Type 1 Diabetes Patients with Functional Magnetic Resonance Imaging
CBRi: A Case Based Reasoning-Inspired Approach for Univariate Time Series Imputation
Industrial case study of causal modeling of continuous casting and lamination of steel tubes
Discovering SQL Queries from Examples using Intelligent Algorithms
Comparison of Bioinspired MLP Controllers for Mobile Robots Obstacle Following/Avoidance
Combining optimization and fire simulation modeling to protect biodiversity values at a landscape scale
A Unified Framework for Replicability of Anomaly Detection in Multiple Time Series: Enhancing GANF and RanSynCoders Pipelines with MFCC Feature Extraction for Acoustic Data
Scenario optimization in Software Process Improvement applying evolutionary techniques and association rules
Comparative Study of PID, DMC, and Fuzzy PD+I Controllers in a Control Laboratory Kit
A Propose of Genetic Operators for Quantum Algorithms with Real Representation
Multispectral images segmentation using fuzzy probabilistic local cluster for unsupervised clustering
Scheduling of the Uruguayan Football and Basketball Leagues
Exploring State-of-the-Art LLMs from BERT to XLNet: A study over Question Answering
A novel Adam approach related to Decoupled Weight Decay (AdamL)
Design and Evaluation of Sentiment Analysis as a Decision Tool Regarding Market Assets
On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms
Wind Speed Time Series Forecasting Using a Neural Network Model Inspired Biologically
Time Series Imputation by Nature and by Decomposition
Designing the optical network of Haiti using a multi-objective evolutionary approach
Clustering algorithms applied on analysis of protein molecular dynamics
Demodulation of m-ary non-symmetrical constellations using clustering techniques in optical communication systems
A Novel Evolutionary Morphological Descriptor for the Segmentation of Coronary Arteries
Reinforcement Learning for the Detection of Arbitrary Shaped Spatial Clusters
Enhanced Neuro-Genetic model aimed at optimizing the sensitivity of GMI sensors, subjected to linearity and span constraints
A Comparative Study on the Numerical Performance of Kaizen Programming and Genetic Programming for Symbolic Regression Problems
Hybrid System with Dynamic Classification for Combining Time Series Forecasts
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016, Cartagena, Colombia, November 2-4, 2016
Boolean Binary Cat Swarm Optimization Algorithm
Assignment of bug reports to software developers using a multi-population evolutionary method
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018, Gudalajara, Mexico, November 7-9, 2018
Model predictive control using Adaptive Task Allocation for optimization of networks with traffic lights
Discrete-Time Neural Identification of a SIR Epidemic Model
Wiener System Identification using Best Linear Approximation within the LS-SVM framework
YotoR-You Only Transform One Representation
A Comparative Analysis of Quantum Inspired Evolutionary Algorithm with Differential Evolution, Evolutionary Strategy and Particle Swarm Optimization
A Hierarchical Ensemble of LSTM-based Autoencoders for Novelty Detection in Passive Sonar Systems
Classification of Legal Documents in Portuguese Language Based on Summarization
Detecting Defects in Sanitary Wares Using Deep Learning
Detection of weapons using Efficient Net and Yolo v3
Interpretability of an Automatic Handwritten Signature Verification Model
Self-organizing maps for anomaly detection in fuel consumption. Case study: Illegal fuel storage in Bolivia
Edge Artificial Intelligence Used to Activate Indicator Lights on Bicycle Helmets
Twisted Games: A First Experience of Inclusion of AI tools in First Year Programming Classes
A text mining-based method for domains using AI generative text-to-text
Hybrid Models Based on Error Correction to Predict Thermoelectric Power Plants Fuel Consumption
Data analysis for spatial-spectral interactions in unsupervised hyperspectral unmixing
Smart traffic management to support people with color blindness in a Smart City
FP-AK-QIEAR-ℝ in protein folding application
Extended abstract: A color quantization approach based on the Growing Neural Forest
On the boundaries of the centroid of a class of fuzzy numbers
All Action Updates for Reinforcement Learning with Costly Features
SSDP-H: Hybrid Approaches for Subgroup Discovery on High-Dimensional Datasets
Production programming model in open-shop systems using genetic algorithms approach
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019, Guayaquil, Ecuador, November 11-15, 2019
Sequential path planning for a formation of mobile robots with split and merge
Adaptive Fuzzy Sliding Mode Control of an Inverted Pendulum Mounted on a Ball System
Hierarchical Cluster Analysis of Interval-valued Data Using Width of Range Euclidean Distance
Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings
A study of a possible scenario of Zika virus outbreak and rapid intervention using a mathematical and computational simulation
Approximate nearest neighbors by deep hashing on large-scale search: Comparison of representations and retrieval performance
Fast computation of Cramer-Rao Bounds for TOA
Human-in-the-Loop Evolution of Database Views for Data Exploration
A hybrid algorithm for supply chain optimization of assembly companies
Smartphone camera document detection via Geodesic Object Proposals
Polarity classification on web-based reviews using Support Vector Machine
Self-organizing maps applied to analysis of state energy balances
Machine learning techniques versus complexity theory in the cerebral haemodynamics of traumatic brain injury patients
Expanded abstract: Solution of Simple Assembly Line Balancing Problems with FSS
Weight Pair Group Average Mean Clustering for Interval-valued Data
LSTM and Isolation Forest integration for industrial motor failure prediction using vibration analysis
Application of Swarm-intelligent Methods to Optimize Error-tolerant Graph Matching for Automatic E-Assessment
An AutoAssociative Neural Network for image segmentation
Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality
Bio-inspired Algorithm for Path Planning of Terrestrial Robot Using Aerial Images
Inverse Kinematics for a Manipulator Robot based on Differential Evolution Algorithm
Canopy Height Estimation in Brazilian Amazon using Multisource Remote Sensing Datasets
Reducing the effort of Evolutionary Calibrator Using Opposite Information
Crowd abnormal detection using artificial bacteria colony and Kohonen's neural network
A parallel multi-GPU Clonal Selection Algorithm for optimization using OpenCL and OpenMP
Unorganized neural networks applied to streamflow forecasting of Passo Real hydroelectric plant
Agile testing using user language automation with artificial intelligence in Enjisst
MapView: Exploring Datasets via Unsupervised View Recommendation
Improving Transferability of Population-Based Learning-to-Optimize Algorithms Through Imitation Learning
Towards a Mobile and Fast Melanoma Detection System
Time estimation for deep learning model's inference in distributed processing units
Multiprocessor task scheduling on heterogeneous environments by a Hybrid Chemical Reactions Optimization
Generation of English Question Answer Exercises from Texts using Transformers based Models
Optimized Assertiveness-Cost Evaluation: An Innovative Performance Measuring Method for Machine Learning Models
Fine-Tuning MultiFit for Enhanced Legal Sentence Basis Classification
Automatic Environment Classification for Unmanned Aerial Vehicle Using Superpixel Segmentation
Characterization of sustainability using fuzzy opinion systems
Beyond One Room: Comprehensive Predictive Analysis of CO2 in Indoor Air Quality
Evaluation of Deep Learning Model for Detecting Electronic Components in Few-Shot Learning Scenarios
Passive Sonar Classification Using Time-Domain Information and Recurrent Neural Networks
Bringing Bearing Fault Detection to Embedded Systems Using Low-Cost Machine Learning Techniques
Computed-torque control of a simulated bipedal robot with locomotion by reinforcement learning
Artificial neural network model to estimate investment viability of solar plants for the industry of Jalisco, Mexico
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games
A method for studying how much time of EEG recording is needed to have a good user identification
A prioritization system for failures of a vital signs monitor
Accelerating the convergence of adaptive filters for active noise control using particle swarm optimization
Covid-19 Automatic Test through Human Breathing
Spike Quaternion Neural Networks Control for a Hand prosthesis
Proposal of new hybrid fuzzy clustering algorithms - Application to breast cancer dataset
Applying non-compensatory multicriteria methods to build Better Life Index countries ranking
Exploring Social Dynamics in a Reinforcement Learning-based Metaheuristic: A study using Improvement Frequency and Population Turnover
Automatic Crack Detection in Ore Leach Dump using Transfer Learning
A Multi-Agent Based Algorithm for Quadratic Assignment Problem
A gene expression programming approach for evolving multi-class image classifiers
Multi-Objective GA for Path Planning of Robot Manipulators Based on Dual Quaternion
Identifying Physical Unclonable Functions Using Classifier Algorithms
A Semi-Supervised Autoencoder Approach for Efficient Intrusion Detection in Network Traffic
Genetic optimization of a trading algorithm based on pattern recognition
Multi-Label Classification of Legal Cases According to the Sustainable Development Goals Using Machine Learning Algorithms
A surrogate assisted differential evolution to solve constrained optimization problems
Regularizing Neural Networks with Noise Injection for Classification of Brain Tumor in Magnetic Resonance Imaging
Fourier Genetic Series: An Evolutionary Time Series Modeling Technique
Multivariate data mapping based on dendritic lattice associative memories
Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison
Bayesian Networks to predict reputation in Virtual Learning Communities
Pinning control applied to gene regulatory networks
xf-Calc: Towards a Fair Comparison Between Approaches for Fuzzy Numbers Arithmetic
Comparison of two Algorithms for Routing Questions and Answers, Applied to Group of Students Software Engineering
Towards best default configuration settings for NMPSO in multi-objective optimization
Semi and Self-supervised Learning for Multi-label Image Classification: An Underwater Inspection Imagery Application
Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning
Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling
Comparing transfer learning approaches applied to distracted driver detection
Feature Vector Design for Music Genre Classification
A type-2 fuzzy logic system approach to train Honduran coffee cuppers
Hyper-Heuristics Using Genetic Programming to Time Series Forecasting
A novel Encoder-Decoder structure for Time Series analysis based on Bayesian Uncertainty reduction
Spatial Filter comparison for a Brain Computer Interface
Development of an Electrode Reduction Model to Support ASD Diagnosis Based on EEG and Machine Learning
Extreme learning machine autoencoder for data augmentation
Neural Network Based Controller for an AC Microgrid Connected to a Utility Grid
Performance Evaluation of Optimization Algorithms based on GPU using CUDA Architecture
Lithology Identification in Carbonate Thin Section Images of the Brazilian Pre-Salt Reservoirs
A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting
Fuzzy-PD Controller for behavior mixing and improved performance in quadcopter attitude control systems
Parameter selection for swarm intelligence algorithms - Case study on parallel implementation of FSS
IEEE Latin American Conference on Computational Intelligence, LA-CCI 2017, Arequipa, Peru, November 8-10, 2017
Trajectory-based Metaheuristics for Improving Sparse Matrix Storage
Classification of patients with diabetes by analyzing the patterns of proteins present in saliva using machine learning
Quaternion Spiking Neural Networks Control for Robotics
Profitability Prospects for Residential Photovoltaic Installations in Honduras under Foggy Conditions: A Machine Learning Approach to Photovoltaic Production Prediction using Sarima and Linear Regression
A Systematic Mapping of Smart Farming and Image Recognition in Agriculture
Expanded abstract: An adaptive support system for phonological treatment of phonetic disorders using visual feedbacks and Speech Recognition
Seasonal Streamflow Series Forecasting Using Recurrent Neural Networks
Predicting material backorders in inventory management using machine learning
Detection of blue whale vocalisations using a temporal-domain convolutional neural network
Lightweight and efficient octave convolutional neural network for fire recognition
Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents
Customer Segmentation in a Travel Agency Dataset using Clustering Algorithms
Real-time neural optimal controller for a direct expansion (DX) air conditioning (A/C) system
Instance Segmentation based Object Detection with Enhanced Path Aggregation Network
Emotion Recognition to Support Personalized Therapy: An Approach Based on a Hybrid Architecture of CNN and Random Forest
Legal Judgement Prediction: A comparative analysis of legal documents in Brazil
Machine Learning Techniques to Determine Mutation Impact in Proteins Associated to Neurofibromatosis
Optimization of Energy Demand Management in Cold Storage Systems: Advances through the Integration of IoT, Machine Learning, and AI
Solid Waste Management using Georeferenced Multi-agent Systems
A Framework for Analyzing Book Covers and Co-purchases using Object Detection and Data Mining Methods
An approach based on network science to detect communities in Social Networks
Pedestrian Detection Using R-CNN Object Detector
Programmable three-phase voltage source controlled by fuzzy logic
Toward a route detection method base on detail call records
Leaf Venation Enhancing for Texture Feature Extraction in a Plant Classification Task
Visual Object Affordances using Geometric Characteristics for Early Risk Detection
Correlation as a measure for fitness in multi-agent learning systems
Frost Forecast and Early Alarm System based on Deep Learning
User profile acquisition: A comprehensive framework to support personal information agents
Tuning of PI Controllers for Electric Drives using Evolutionary Multi-Objective Optimization Algorithm
Training Single-Layer Morphological Perceptron Using Convex-Concave Programming
Applying Reinforcement Learning to Combine Multiple Swarm-based Algorithms
Evaluation of the Impact of Initial Positions obtained by Clustering Algorithms on the Straight Line Segments Classifier
Many-objective Grammar-guided Genetic Programming with Code Similarity Measurement for Program Synthesis
Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization
A weighted multivariate fuzzy time series method for multiple output high-dimensional time series forecasting in IoT applications
Supporting Customers with Limited Budget in Data Marketplaces
A practical Deep Learning approach to assist COVID-19 detection based on Chest X-ray images
Integrating a SMT Solver based Local Search in Ant Colony Optimization for Solving RCMPSP
A Biased Random-Key Genetic Algorithm for Regression Test Case Prioritization
Inverse Impulsive Optimal Neural Control for Complex Networks Applied to Epidemic Influenza Type A Model
Online pattern recognition for Portuguese phonemes using Multi-layer Perceptron combined with recurrent non-linear autoregressive Neural Networks with exogenous inputs
Image Dehazing Using a Simple Convolutional Autoencoder
Interpretable Diagnosis of Banana Leaf Sigatoka Disease using CNNs and Shapley Values
eXplainable Reinforcement Learning Using Introspection in a Competitive Scenario
Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation
Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient
Adaptive hybrid recommender system of learning objects
Hyperparameter Optimization for Convolutional Neural Networks with Genetic Algorithms and Bayesian Optimization
Semi-supervised learning for MS MALDI-TOF data
An investigation on the use of convolutional neural network for image classification in embedded systems
Knowledge extraction from time series of electric energy demand using temporal data mining
Three Dimensional Adaptive Path Planning Simulation Based On Ant Colony Optimization Algorithm
Exploring Remote Cardiac Signals for Biometric Verification: A Study Using Eulerian Video Magnification
Data-Driven Approach To Continuous-Time Fault Isolation from Sampled Data
PM2.5 prediction with Recurrent Neural Networks and Data Augmentation
Dimensionality reduction for interactive data visualization via a Geo-Desic approach
Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things
A Neuro-fuzzy Internal Model Controller and its Application in Turbochargers
Development of a smartphone controlled quadrotor: A testbed for autonomous applications
A deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem
A Legal Information System for Intelligent Sentence Mining Applied to Civil Law
PSO for parametric identification of rotatory induction motors using experimental data with unknown time-delays
The Danger of Metaphors for Metaheuristic Design
Human detection in digital videos using motion features extractors
Enhancing Photovoltaic Energy Forecasting with Machine Learning: A Comparison Study of XGBoost, LightGBM and LSTM Models
Enhancing Crop Clinic Assistance: Empowering Plant Disease Detection through Multi-task Machine Learning
Surrogate models assisted by neural networks to assess the resilience of networks
Use of Fitness Sharing in the Local Rule-Based Explanations Method
Study of an unsteady amperometric biosensor using a computational model
Periocular EfficientNet: A Deep Model for Periocular Recognition
Enhancing Software Quality: A Multicriteria Decision-Making Approach for Identifying Defective Modules
Control of Quadrotor using a Neural Network based PID
Application of a Genetic Algorithm with Social Interaction to Search Based Testing
Performance Comparison of Clustering Algorithms to Handle Grouping of City Locations
Clustering-and-Bagging-based Ensemble for Novelty Detection in Passive Sonar Systems
Evolutionary multi-objective algorithms for feed resource allocation in dairy systems
Towards Action Prediction Applying Deep Learning
Neural Networks Fusion for Enhanced Time Series Forecasting with Missing Data
Change Detection by Classification of a Multi-temporal Image
Reconstruction of Building Models from Maps and Laser Altimeter Data
Landscape Editing with Knowledge-Based Measure Deductions for Ecological Planning
Regional Algebra for Spatial Data Management
Representation and Interactive Manipulation of Massive CAD Databases
On Ontology in Image Analysis
Improving High-Dimensional Indexing with Heuristics for Content-Based Image Retrieval
Integrated Spatial Databases, Digital Inages and GIS, International Workshop ISD '99, Portland, ME, USA, June 14-16, 1999, Selected Papers
A Probabilistic Approach to Environmental Change Detection with Area-Class Map Data
Conquest: CONcurrent QUEries over Space and Time
View Alignment of Aerial and Terrestrial Imagery in Urban Environments
Automated Extraction of Linear Features from Aerial Imagery Using Kohonen Learning and GIS Data
A Framework for Integrating GIS and Digital Images
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models
Comparison of the Potential of Different Sensors for an Automatic Approach for Change Detection in GIS Databases
Cost-Effective Determination of Biomass from Aerial Images
Integrating GIS and Imagery Through XML-Based Information Mediation
CHOROCHRONOS - Research on Spatio-temporal Database Systems
The ATREE: A Data Structure to Support Very Large Scientific Databases
B²-Tree: Cache-Friendly String Indexing within B-Trees
ControVol Flex: Flexible Schema Evolution for NoSQL Application Development
Leistungsorientierte Auswahl von Reorganisationskandidaten
Mobiles Computer Aided Facility Management
Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse
Grammatiken und Syntaxbäume in Datenbanken
Unterstützung von Computersimulationen durch objektorientierte Datenbanksystems am Beispiel einer Anwendung aus der Medizin