yusuke1997/dblp-id-title huggingface dataset:
A Sequential Recommender System with Embeddings Based on GraphSage Aggregators
Using Historical Information of Patients for Prior Authorization Learning
Automatic Ocular Alignment Evaluation for Strabismus Detection Using U-NET and ResNet Networks
Code Autocomplete Using Transformers
Emotion Recognition in Instrumental Music Using AI
FlexCon-CE: A Semi-supervised Method with an Ensemble-Based Adaptive Confidence
Extreme Risk Averse Policy for Goal-Directed Risk-Sensitive Markov Decision Process
Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier
An Open Source Eye Gaze Tracker System to Perform Remote User Testing Evaluations
Going Bananas! - Unfolding Program Synthesis with Origami
A Clonal Selection Algorithm for Makespan Minimization on Unrelated Parallel Machines with Sequence Dependent Setup Times
Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language
Dense Captioning Using Abstract Meaning Representation
Automatic Design of Convolutional Neural Networks using Grammatical Evolution
Time Series Imputation Using Genetic Programming and Lagrange Interpolation
Improved Cooperative Group Search Optimization Based on Divide-and-Conquer Strategy
I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization
Recognition of Simple Handwritten Polynomials Using Segmentation with Fractional Calculus and Convolutional Neural Networks
Fractal Dimension-Based Drosophila Melanogaster Wing Genotype Classification
A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News
Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems
Online Detection of Outliers in Clusters of Continuous Data Streaming
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts
Improving a Genetic Clustering Approach with a CVI-Based Objective Function
A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets
Machine Teaching: An Explainable Machine Learning Model for Individualized Education
A Probabilistic Algorithm to Estimate the Spectral Moments of Large Undirected Weighted Graphs
A Survey of Recent Advances on Two-Step 3D Human Pose Estimation
A GPU Implementation of MOEA/D-ACO for the Multiobjective Traveling Salesman Problem
Automating News Summarization with Sentence Vectors Offset
ASAClu: Selecting Diverse and Relevant Clusters
Contextual Bandits for Multi-objective Recommender Systems
Training Aware Sigmoidal Optimization
A Multi-objective Solution for Retrieving Class Diagrams
Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM
Inference of Researchers' Area of Expertise
Image-Based Electric Consumption Recognition via Multi-Task Learning
Quantum Neural Networks Learning Algorithm Based on a Global Search
The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review
Hyper-Parameter Tuning of a Decision Tree Induction Algorithm
Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains
Probabilistic Clustering and Classification for Textual Data: An Online and Incremental Approach
Distributed K-Means Clustering with Low Transmission Cost
Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution
Reference-Point Based Multi-swarm Algorithm for Many-Objective Problems
Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems
A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits
A Network-Based Semi-supervised Outlier Detection Technique Using Particle Competition and Cooperation
A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis
Evaluating Stream Classifiers with Delayed Labels Information
Multiple Parallel MapReduce k-Means Clustering with Validation and Selection
On Social Consensus Mechanisms for Federated Learning Aggregation
Fake News Detection Using One-Class Classification
Glomerulosclerosis Identification Using a Modified Dense Convolutional Network
Bio-Inspired and Heuristic Methods Applied to a Benchmark of the Task Scheduling Problem
On the Impact of MDP Design for Reinforcement Learning Agents in Resource Management
Data Classification: Dimensionality Reduction Using Combined and Non-combined Multidimensional Projection Techniques
Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization
Identification of Features for Profit Forecasting of Soccer Matches
Face Recognition Using Optimum-Path Forest Local Analysis
Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator
Self-Adaptive Fuzzy Architecture to Predict and Decrease e-Contract Violations
Extracting Semantic Information from Patent Claims Using Phrasal Structure Annotations
A Parallel Approach of a Hybrid Particle Swarm Optimization Algorithm to Solve the Vehicle Routing Problem with Time Windows
A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity Matrices
Petroleum Reservoir Connectivity Patterns Reconstruction Using Deep Convolutional Generative Adversarial Networks
Towards Meta-Learning for Multi-Target Regression Problems
Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design
One-Class Learning for Data Stream Through Graph Neural Networks
Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age Biomarkers?
Evaluating Sentiment Quantification Methods in Brazilian Portuguese Corpora
DualRadviz: Preserving Context between Classification Evaluation and Data Exploration with RadViz
An Ontology for Property Crime Based on Events from UFO-B Foundational Ontology
Blind Image Quality Assessment Using Local Variant Patterns
Allocating Dynamic and Finite Resources to a Set of Known Tasks
Recurrent Neural Network Based on Statistical Recurrent Unit for Remaining Useful Life Estimation
Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules
Time Series Decomposition Using Spring System Applied on Phase Spaces
Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform
Assessing Sentence Simplification Methods Applied to Text Summarization
Action Scheduling Optimization using Cartesian Genetic Programming
Machine Learning for Suicidal Ideation Identification on Twitter for the Portuguese Language
Extractive Multi-document Summarization Using Dynamical Measurements of Complex Networks
Assessing the Impact of Contextual Embeddings for Portuguese Named Entity Recognition
Measuring Ethics in AI with AI: A Methodology and Dataset Construction
An Argumentation-Based Approach for Explaining Goals Selection in Intelligent Agents
Utterance Copy in Formant-Based Speech Synthesizers Using LSTM Neural Networks
Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8
Evaluating Perception Filters in BDI Jason Agents
Adaptive Navigation for Mobile Robots with Object Recognition and Ontologies
Mapping of Facial Elements for Emotion Analysis
ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language
Who Killed the Winograd Schema Challenge?
Macroscopic Observation of Large-Scale Multi-agent Systems
Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements
Improving Recommendations by Using a Heterogeneous Network and User's Reviews
A Contextual Hierarchical Graph Model for Generating Random Sequences of Objects with Application to Music Playlists
Using LSTM Encoder-Decoder for Rhetorical Structure Prediction
Hierarchical Time-Aware Approach for Video Summarization
[inline-graphic not available: see fulltext] Sabiá: Portuguese Large Language Models
Financial Time Series Forecasting via CEEMDAN-LSTM with Exogenous Features
Combining Labeled Datasets for Sentiment Analysis from Different Domains Based on Dataset Similarity to Predict Electors Sentiment
Mining Journals to the Ground: An Exploratory Analysis of Newspaper Articles
Deep Convolutional Features for Fingerprint Indexing
Damage Identification of Wind Turbine Blades
Convolutional Neural Networks for the Molecular Detection of COVID-19
Deep Learning for People Detection on Beach Images
Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches
Making Data Stream Classification Tree-Based Ensembles Lighter
A Multi-agent Metaheuristic Optimization Framework with Cooperation
Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II
A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting
A Network-Based Model for Optimizing Returns in the Stock Market
Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms
Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency
Impact of Text Specificity and Size on Word Embeddings Performance: An Empirical Evaluation in Brazilian Legal Domain
Use of Conceptual Representations Based on Conceptual Spaces Theory Applied to BDI Agents
Quantum Enhanced k-fold Cross-Validation
Testing Multiagent Systems Under Organizational Model M oise Using a Test Adequacy Criterion Based on State Transition Path
InRanker: Distilled Rankers for Zero-Shot Information Retrieval
Improving Multi-agent Planning with Unsolvability and Independent Plan Detection
Trajectory Network Assessment Based on Analysis of Stay Points Cluster
Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I
Predicting Energy Consumption Data Using Deep Learning: An LSTM Approach
A MAX-MIN Ant System with Short-Term Memory Applied to the Dynamic and Asymmetric Traveling Salesman Problem
A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering
Impact of Morphological Segmentation on Pre-trained Language Models
ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning
Aiding Glaucoma Diagnosis from the Automated Classification and Segmentation of Fundus Images
Analysis of Machine Learning Techniques in Fault Diagnosis of Vehicle Fleet Tracking Modules
Learning-Process Evaluation to Select Spatial Abstractions in Reinforcement Learning
Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering
5th Brazilian Conference on Intelligent Systems, BRACIS 2016, Recife, Brazil, October 9-12, 2016
An Ordered Search for Subset Selection in Support Vector Orthogonal Regression
Combining Classification and Clustering for Tweet Sentiment Analysis
A Nonintrusive System for Detecting Drunk Drivers in Modern Vehicles
Automatic Identification of Security Risks in Edicts for Software Procurement
Adaptation of Discourse Parsing Models for the Portuguese Language
EfficientDeepLab for Automated Trachea Segmentation on Medical Images
Iterated Belief Change the Case of Expansion Into Inconsistency
Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario
Onboard Video Stabilization for Low Cost Small RPAS Surveillance Applications
An Improvement of the K-SVD Algorithm with Applications on Face Recognition
Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem
Neural Architecture Search in Graph Neural Networks
Recommending Scientific Collaboration from ResearchGate
Neural Networks Architecture Evaluation in a Quantum Computer
Deep Reinforcement Learning for Voltage Control in Power Systems
SARA - A Generative AI for Legal Process Summarization Based on Chain of Density Prompt Engineering
Application of the Sugeno Integral in Fuzzy Rule-Based Classification
7th Brazilian Conference on Intelligent Systems, BRACIS 2018, São Paulo, Brazil, October 22-25, 2018
A Study of Emergency Siren Recognition on Resource-Constrained Devices
The Use of Machine Learning in the Classification of Electronic Lawsuits: An Application in the Court of Justice of Minas Gerais
The Impact of Contrastive Corpora for Term Relevance Measures
Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements
Private Dynamic Epistemic Friendship Logic
Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors
Using the Causal Graph to Enhance Translations to Solve Contingent Planning Problems
Analyzing College Student Dropout Risk Prediction in Real Data Using Walk-Forward Validation
Exploring Score-Based Ranking Fairness in Marketplace Environments Through Simulation
On Combining Diverse Models for Lyrics-Based Music Genre Classification
Comparative Analysis of Machine Learning Algorithms for Identifying Genetic Markers Linked to Alzheimer's Disease
A Hybrid Semi-linear System for Time Series Forecasting
Leveraging Textual Descriptions for House Price Valuation
On AGM Belief Revision for Computational Tree Logic
Exploring Artificial Neural Networks: A Data Complexity Perspective
Many-Objective Evolutionary Algorithms for Multicast Routing with Quality of Service Problem
Portuguese Emotion Detection Model Using BERTimbau Applied to COVID-19 News and Replies
EvoLogic: Intelligent Tutoring System to Teach Logic
Intelligent Systems - 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part I
Evaluating CNN-Based Classification Models Combined with the Smoothed Pseudo Wigner-Ville Distribution to Identify Low Probability of Interception Radar Signals
A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem
FT-BlinGui: A Fuzzy-Based Wearable Device System to Avoid Visually Impaired Collision in Real Time
Artificial Neural Nets Object Recognition for 3D Point Clouds
Deep Learning Approach to Temporal Dimensionality Reduction of Volumetric Computed Tomography
An Ecology-Based Evolutionary Algorithm Applied to the 2D-AB Off-Lattice Protein Structure Prediction Problem
AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems
A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution
Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco
Unsupervised Learning Method for Encoder-Decoder-Based Image Restoration
On the Entanglement Dynamics of the Quantum Weightless Neuron
Image Classification Using Sum-Product Networks for Autonomous Flight of Micro Aerial Vehicles
Efficient Gaussian Process-Based Inference for Modelling Spatio-Temporal Dengue Fever
A Feature-Based Out-of-Distribution Detection Approach in Skin Lesion Classification
A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features
Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach
Exploring Evolutive Methods for Cloud Provider Selection Based on Performance Indicators
Explanation-by-Example Based on Item Response Theory
Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System
Multi-kernel approach to Parallelization of EM Algorithm for GMM Training
DeepBT and NLP Data Augmentation Techniques: A New Proposal and a Comprehensive Study
On Monotonic Tendency of Some Fuzzy Cluster Validity Indices for High-Dimensional Data
BaNHFaP: A Bayesian Network Based Failure Prediction Approach for Hard Disk Drives
Question Answering with Texts and Tables Through Deep Reinforcement Learning
Statistical and Semantic Features to Measure Sentence Similarity in Portuguese
Self-learning Methodology Based on Degradation Estimation for Underwater Image Enhancement
Text Categorization Based on Dissimilarity Representation and Prototype Selection
DEEPAGÉ: Answering Questions in Portuguese About the Brazilian Environment
Novel Features Based on Sentence Specificity for Helpfulness Prediction of Online Reviews
Feature Extraction for a Genetic Programming-Based Brain-Computer Interface
A Bio-inspired Optimization Technique for Cluster Ensembles Optimization
Analysis of Neutrality of AutoML Search Spaces with Local Optima Networks
Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem
Impact of Facial Expressions on the Accuracy of a CNN Performing Periocular Recognition
Ensemble of Protein Stability upon Point Mutation Predictors
Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning Methods
A Hybrid Strategy to Evolve Cellular Automata Rules with a Desired Dynamical Behavior Applied to the Task Scheduling Problem
On Validation Setup for Multiclass Imbalanced Data Sets
Decision Variable Learning
An Evolutionary-Cooperative Model Based on Cellular Automata and Genetic Algorithms for the Navigation of Robots Under Formation Control
An Explainable Model to Support the Decision About the Therapy Protocol for AML
Exploring Text Decoding Methods for Portuguese Legal Text Generation
A Modified NSGA-DO for Solving Multiobjective Optimization Problems
Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps
An Efficient Algorithm for the Tabu Clustered Traveling Salesman Problem
Community Detection to Invariant Pattern Clustering in Images
Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts
Siamese Network-Based Prioritization for Enhanced Multi-document Summarization
8th Brazilian Conference on Intelligent Systems, BRACIS 2019, Salvador, Brazil, October 15-18, 2019
Multimodal and Hybrid Models for Predicting SCD Risk in Chagas Cardiomyopathy
Selectively Inhibiting Learning Bias for Active Sampling
Multi-label Classification of Pathologies in Chest Radiograph Images Using DenseNet
2014 Brazilian Conference on Intelligent Systems, BRACIS 2014, Sao Paulo, Brazil, October 18-22, 2014
Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm
Beyond Audio Signals: Generative Model-Based Speaker Diarization in Portuguese
Benchmarking Multi-target Regression Methods
An Alternative to Power Measure for Fuzzy Rule-Based Classification Systems
Integrating Tensor-Based Data Analytics and Adaptive Prediction for Informed Decision-Making Support
Audio Plugin Recommendation Systems for Music Production
Pixel Clustering for Face Recognition
New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image
On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm
Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming
Intelligent Classifiers on the Construction of Pollution Biosensors Based on Bivalves Behavior
Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques
Sentiment Categorization on a Creole Language with Lexicon-Based and Machine Learning Techniques
Stocks Clustering Based on Textual Embeddings for Price Forecasting
The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic
Long-Term Map Maintenance in Complex Environments
Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving Based on Bird's-Eye View in Simulated Cities
Regulation and Ethics of Facial Recognition Systems: An Analysis of Cases in the Court of Appeal in the State of São Paulo
RLPortfolio: Reinforcement Learning for Financial Portfolio Optimization
Argumentation-Based Agents that Explain Their Decisions
Generating Cohesive Semantic Topics from Latent Factors
Analyzing the Effect of Stochastic Transitions in Policy Gradients in Deep Reinforcement Learning
Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion
Explainability of COVID-19 Classification Models Using Dimensionality Reduction of SHAP Values
A Conversational Agent to Support Hospital Bed Allocation
Improving Classifiers and Regions of Competence in Dynamic Ensemble Selection
Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization
Robot Localization Using Classification with Reject Option from Structural Co-occurrence Matrix in Omnidirectional Images
A Hybrid Group Search Optimization Based on Fish Swarms
An Object-Based Visual Selection Model Combining Physical Features and Memory
Hyperintensional Models and Belief Change
Acoustic Features and Autoencoders for Fault Detection in Rotating Machines: A Case Study
On the Analysis of CGP Mutation Operators When Inferring Gene Regulatory Networks Using ScRNA-Seq Time Series Data
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part II
FuzzyStudio: A Web Tool for Modeling and Simulation of Fuzzy Systems
Towards Knowledge Transfer in Deep Reinforcement Learning
Dialogue Management with Deep Reinforcement Learning: Balancing Exploration and Exploitation
An Approach to Support the Selection of Relevant Studies in Systematic Review and Systematic Mappings
Detecting Multiple Epidemic Sources in Network Epidemics Using Graph Neural Networks
Multidimensional Projections Analysis Using Performance Evaluation Planning
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
Global Centrality Measures in Word Graphs for Twitter Sentiment Analysis
Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method
An Agent-Based Fog Computing Architecture for Resilience on Amazon EC2 Spot Instances
Evaluating the Combination of Multiple Metadata Types in Movies Recommendation
A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency
Uncovering the Location of Twitter Users
Statistical and Heuristic Model Selection in Regularized Least-Squares
Intelligent Systems - 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part I
Evaluation of Recurrent Neural Networks for Hard Disk Drives Failure Prediction
Semi-Supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset
Synthesis of a DNF Formula From a Sample of Strings
PELESent: Cross-Domain Polarity Classification Using Distant Supervision
Building Up Conceptual Spaces: An ESOM Supported Strategy
Dog Face Recognition Using Deep Features Embeddings
TSchainRad: a new Tabu Search-Based Matheuristic for IMRT Optimization
Clustering Search Applied to Rank Aggregation
Automatic Generation of LUTs for Hardware Neural Networks
A Parallel Strategy for Generation of Fuzzy Rule Bases in Big Data Problems Using the NSGA-DO
Speech Recognition in Noisy Environments with Convolutional Neural Networks
Data Mining Solution for Assessing the Secondary School Students of Brazilian Federal Institutes
Using X-Ray Flux Time Series for Solar Explosion Forecasting
Visual Approach to Support Analysis of Optimum-Path Forest Classifier
Multi-label Fault Classification Experiments in a Chemical Process
Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis
An Occupancy Grid Map Merging Algorithm Invariant to Scale, Rotation and Translation
Ethics of AI: Do the Face Detection Models Act with Prejudice?
Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes
Aggressive Language Detection Using VGCN-BERT for Spanish Texts
Enhancing Multiobjective Genetic Algorithms for Pharmaceutical Batch Scheduling: A Study on Partitioned Selection with Constraints and Mutation with Greedy Local Search Strategy
Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil
Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction