yusuke1997/dblp-id-title huggingface dataset:
Applying Transformers for Anomaly Detection in Bus Trajectories
Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems
Link Prediction in Social Networks: An Edge Creation History-Retrieval Based Method that Combines Topological and Contextual Data
A New Estimation Distributed Algorithm Applied to a Many-Objective Discrete Optimization Problem
Complex Network Measures for Data Set Characterization
Analysis of Graph Construction Methods in Supervised Data Classification
Scaling and Adapting Large Language Models for Portuguese Open Information Extraction: A Comparative Study of Fine-Tuning and LoRA
Strategies for Short Text Representation in the Word Vector Space
Search Operators for Genetic Algorithms Applied to Well Positioning in Oil Fields
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture
A Clustering Validation Index Based on Semantic Description
Web Service Composition: An Agent-Based Approach
Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition
Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances
Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning
α-MCMP: Trade-Offs Between Probability and Cost in SSPs with the MCMP Criterion
A Concept-Based Integer Linear Programming Approach for Single-Document Summarization
Improving Particle Swarm Optimization with Self-adaptive Parameters, Rotational Invariance, and Diversity Control
Individual versus Difference Rewards on Reinforcement Learning for Route Choice
MLM-rank: A Ranking Algorithm Based on the Minimal Learning Machine
A Comparison Study on Time Series Forecasting Given Smart Grid Load Uncertainties
Measuring Instance Hardness Using Data Complexity Measures
Dodecaphonic Composer Identification Based On Complex Networks
An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments
Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders
Using Markov Models to Learn the Sentiment of Soccer Fans from Bets and the Result of Matches
Diffusion-Based Approach to Style Modeling in Expressive TTS
Using Hyperplanes to Create Neutral Networks in Pseudo-Boolean Optimization
Dealing with Inconsistencies in ASPIC +
A Module-Based Approach for Evaluating Differential Genome-Wide Expression Profiles
A Method for Automatic Determination of the Feature Vector Size for Text Categorization
A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task
Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets
Visualization Techniques Applied to Image-to-Image Translation
Learning Well-Founded Ontologies through Word Sense Disambiguation
Discovery Biological Motifs Using Heuristics Approaches
A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems
Single Image Super-Resolution Based on Capsule Neural Networks
Density-Based Core Support Extraction for Non-stationary Environments with Extreme Verification Latency
Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness
Semi-supervised Classification Using Deep Learning
Artificial Neural Networks and Infrared Thermography for Fiber Orientation Assessment
Finding Inference Rules Using Graph Mining in Ontological Knowledge Bases
A Biased Random-Key Genetic Algorithm for the Traffic Counting Location Problem
A BDI-Fuzzy Agent Model for Exchanges of Non-economic Services Based on the Social Exchange Theory
Evolutionary Adjustment of a Cellular Automata-Based Model for Wildfire Spreading
Probabilistic Multilateration: Model and Inference
Classifying Graphs of Elementary Mathematical Functions Using Convolutional Neural Networks
Regularized Supervised Distance Preserving Projections for Short-Text Classification
Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans
A Rough Sets-Based Rule Induction for Numerical Datasets
Universal Dependencies-Based PoS Tagging Refinement Through Linguistic Resources
Reasoning about Trust and Belief in Possibilistic Answer Set Programming
A Rule-Based Greedy Ant (rGrAnt) Protocol for Networking Environments
Investigation of Deep Active Self-learning Algorithms Applied to Named Entity Recognition
Towards a Referenceless Visual Quality Assessment Model Using Binarized Statistical Image Features
Community Detection for Multi-label Classification
Entropy-Based Filter Selection in CNNs Applied to Text Classification
Exploiting Geographical Data to Improve Recommender Systems for Business Opportunities in Urban Areas
A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms
Probabilistic Answer Set Programming
A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem
Revisiting the Sequential Symbolic Regression Genetic Programming
RegK-Means: A Clustering Algorithm Using Spatial Contiguity Constraints for Regionalization Problems
A Unified Framework for Average Reward Criterion and Risk
Sparse Minimal Learning Machines Via L_1/2 Norm Regularization
On the Performance of Planning Through Backpropagation
First-Order Logic for Decision Problems with Preference Aggregation
Searching Contexts in Rough Description Logics
Expression Removal in 3D Faces for Recognition Purposes
Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments
Investigation of Linear Genetic Programming Techniques for Symbolic Regression
A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm
Improving Colorectal Cancer Diagnosis Using MIRNet and InceptionV3 on Histopathological Images
Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts
Improving Short-Content Misinformation Detection Using Multiple Aspect Trajectories Classification Techniques
A Multi-level Approach to the Formal Semantics of Agent Societies
Fast Coverage of N-Dimensional State Space Self-Organizing Map
An Evaluation of Temporal Neighborhood Coding Variants in Smartphone-Based Human Activity Recognition
Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part IV
LLM-Driven Chest X-Ray Report Generation With a Modular, Reduced-Size Architecture
BoVW-CAM: Visual Explanation from Bag of Visual Words
Statera: A Balanced Feature Selection Method for Text Classification
Ensemble Methods for Label Noise Detection Under the Noisy at Random Model
A Wrapper Approach for Video Anomaly Detection Applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting
Stochastic Cellular Automata Model to Reduce Rule Space Cardinality Applied to Task Scheduling with Many Processors
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks
Dual-Bandwidth Spectrogram Analysis for Speaker Verification
Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study
Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis
A Framework for Controversial Political Topics Identification Using Twitter Data
Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part II
Evaluating Short Text Stream Clustering on Large E-commerce Datasets
A Graph-Based Crossover and Soft-Repair Operators for the Steiner Tree Problem
Assessing Adversarial Effects of Noise in Missing Data Imputation
A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization
Sea State Estimation with Neural Networks Based on the Motion of a Moored FPSO Subjected to Campos Basin Metocean Conditions
Risk-Sensitive Markov Decision Process with Limited Budget
Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I
Anomaly Detection under Cost Constraint
Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network
Music Genre Classification Using Traditional and Relational Approaches
Fitness Landscape Analysis of TPOT Using Local Optima Network
An Improved Heuristic Based Genetic Algorithm for Bin Packing Problem
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points
Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function
Adapting Noise Filters for Ranking
SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section
Probabilistic Fuzzy Naive Bayes
Protein Molecular Function Annotation Based on Transformer Embeddings
Investigating Grammar-Based Design of Multi-objective Particle Swarm Optimization Algorithm
A Differential Evolution Algorithm for Contrast Optimization
A Deep Learning Approach for Pulmonary Lesion Identification in Chest Radiographs
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning
A Multi-objective Approach for Symbolic Regression with Semantic Genetic Programming
Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games
Norm-Based Behavior Modification in Model-Based Reflex Agents
Data Clustering Using Topological Features
Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation
Parameter Tuning in Load Balancing Techniques for Wireless Sensor Networks through Genetic Algorithms
Adaptive Distribution of Vocabulary Frequencies: A Novel Estimation Suitable for Social Media Corpus
Exploring the Data Using Extended Association Rule Network
Li-Fraumeni Ontology: A Case Study of an Ontology for Knowledge Discovery in a Cancer Domain
Car Plate Character Recognition Via Semi-Supervised Learning
A Systematic Approach to Define Semantics for Prioritised Logic Programs
Genetic Algorithms with Optimality Cuts to the Max-Cut Problem
Building a Massive Corpus for Named Entity Recognition Using Free Open Data Sources
A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems
Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection
Elevating Healthcare AI: Achieving Efficiency and Accuracy in Medical Applications with Surrogate-Based Multiobjective Compression of ResNet50 CNNs
An Improved Artificial Bee Colony Algorithm with Diversity Control
Impact of Parent Selection Operator on the FDEA Algorithm
Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments
2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors
A Qualitative-Probabilistic Approach to Autonomous Mobile Robot Self Localisation and Self Vision Calibration
The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection
Evaluation of Metaheuristics in the Optimization of Laguerre-Volterra Networks for Nonlinear Dynamic System Identification
Optimization Strategies for BERT-Based Named Entity Recognition
ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution
Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects
A Portable OpenCL-Based Approach for SVMs in GPU
Continuous Real Time Dynamic Programming for Discrete and Continuous State MDPs
Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals
Automated Iterative Partitioning for Cooperatively Coevolving Particle Swarms in Large Scale Optimization
Logic-Based Explanations for Linear Support Vector Classifiers with Reject Option
Data Clustering Using Group Search Optimization with Alternative Fitness Functions
Comparative Study of Fast Stacking Ensembles Families Algorithms
Classification of Data Streams Applied to Insect Recognition: Initial Results
Intelligent Systems - 12th Brazilian Conference, BRACIS 2023, Belo Horizonte, Brazil, September 25-29, 2023, Proceedings, Part II
Bayesian Classifiers Supported by Ranking for Decision Making in Robot Soccer
Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms
Selecting Optimal Trace Clustering Pipelines with Meta-learning
Active Learning for Evolutionary Constrained Clustering
Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters
Rhythmic Pattern Extraction by Community Detection in Complex Networks
Novelty Detection for Multi-Label Stream Classification
Mobile System to Aid in the Identification and Classification of Electrical Assets using Convolutional Neural Network
A Spin-off Version of Jason for IoT and Embedded Multi-Agent Systems
qFA: An Optimized Based-Tracking Approach Using Firefly Algorithm
Improving Face Recognition Accuracy for Brazilian Faces in a Criminal Investigation Department
Detecting Time Series Periodicity Using Complex Networks
Evaluation of Data Based Normal Behavior Models for Fault Detection in Wind Turbines
Ensemble of Adaptive Algorithms for Keystroke Dynamics
The Impact of Context-Aware Recommender Systems on Music in the Long Tail
Symbolic Representation Based on Temporal Order Information for Time Series Classification
Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures
An Efficient Kick Strategy for Agents in the 2D Simulation League
Combining Neural Networks and a Color Classifier for Fire Detection
A Reward Function Using Image Processing for a Deep Reinforcement Learning Approach Applied to the Sonic the Hedgehog Game
Estimating the Number of Clusters Based on Sequential Clustering Algorithms
Lexicon-Based Sentiment Analysis for Reviews of Products in Brazilian Portuguese
Towards Fixation Prediction: A Nonparametric Estimation-Based Approach through Key-Points
Complexity Measures Effectiveness in Feature Selection
Embracing Data Irregularities in Multivariate Time Series with Recurrent and Graph Neural Networks
Allocating Social Goals Using the Contract Net Protocol in Online Multi-agent Planning
Coarsening Algorithm via Semi-synchronous Label Propagation for Bipartite Networks
Adaptive Operator Selection in NSGA-III
Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method
Ensembles with Clustering-and-Selection Model Using Evolutionary Algorithms
ConveXplainer for Graph Neural Networks
Solving Multi-Agent Pickup and Delivery Problems Using a Genetic Algorithm
Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification
A Dynamic Preference Logic for Reasoning about Agent Programming
Improving Reinforcement Learning Results with Qualitative Spatial Representation
Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural Network-Based Method
Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
Towards a Free, Forced Phonetic Aligner for Brazilian Portuguese Using Kaldi Tools
Empirical Mode Decomposition, Extreme Learning Machine and Long Short-Term Memory for Time Series Prediction: A Comparative Study
A Methodology for Building Fuzzy Rule-Based Systems Integrating Expert and Data Knowledge
Evaluating and Comparing the IGraph Community Detection Algorithms
Musical Scales Recognition via Deterministic Walk in a Graph
Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence
Spatio-temporal Pattern Classification with KernelCanvas and WiSARD
A Computer Vision System for Guidance of VTOL UAVs Autonomous Landing
Exceptional Survival Model Mining
Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams
An Evolutionary Analytic Center Classifier
Allocation of Volunteers in Non-governmental Organizations Aided by Non-supervised Learning
Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting
Minimal Learning Machine for Interval-Valued Data
Parallel Implementation of Feedforward Neural Networks on GPUs
Brazilian Conference on Intelligent Systems, BRACIS 2013, Fortaleza, CE, Brazil, 19-24 October, 2013
Preserving Privacy, Enhancing Robustness: Federated Learning for Lung Disease Identification in Chest X-Ray Images
An Analysis of Time-Frequency Consistency in Human Activity Recognition
A Sampling-Based Framework for Transductive Classification in Information Networks
Deep Learning Models for Representing Out-of-Vocabulary Words
Argumentation-Based Reasoning in BDI Agents Using Toulmin's Model
Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision
Multimodal Interactions in Recommender Systems: An Ensembling Approach
Growing Self-Organizing Maps for Multi-label Classification
Evaluating Binary Encoding Techniques for WiSARD
The Effects of Underlying Mono and Multilingual Representations for Text Classification
Automatic Text Simplification for the Legal Domain in Brazilian Portuguese
Classifying Potentially Non-compliant Portuguese Language Sentences Concerning Privacy Policies
Event Detection in Therapy Sessions for Children with Autism
A Deep Reinforcement Learning Approach to Asset-Liability Management
Accelerating word Embedding Generation with Fine-Grain Parallelism
Predicting Overtemperature Events in Graphics Cards Using Regression Models
Aggregation with Weak, Axiological and Strong Sufficientarian Functions
Low Birth Weight in Brazil Vulnerable Groups: An Analysis Based on Data Mining and Big Data
Investigating Methods to Detect Off-Topic Essays
On the Generalizations of the Choquet Integral for Application in FRBCs
A Voronoi Diagram Based Classifier for Multiclass Imbalanced Data Sets
A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration
Assessing European and Brazilian Portuguese LLMs for NER in Specialised Domains
Exploring Unsupervised Features in Conditional Random Fields for Spanish Named Entity Recognition
Prediction Model Using Coverability Tree from a Modeling in Petri Nets Applied in AGVs Dispatching
Human Action Recognition Based on 2D Poses and Skeleton Joints
Analyzing the Public Opinion on the Brazilian Political and Corruption Issues
Ensemble Architectures and Efficient Fusion Techniques for Convolutional Neural Networks: An Analysis on Resource Optimization Strategies
Self-Adaptive Appearance-Based Eye-Tracking with Online Transfer Learning
A Fast and Robust Max-C Projection Fuzzy Autoassociative Memory with Application for Face Recognition
GovBERT-BR: A BERT-Based Language Model for Brazilian Portuguese Governmental Data
Answering Questions About COVID-19 Vaccines Using ChatBot Technologies
Particle Competition for Unbalanced Community Detection in Complex Networks
Investigating How "Good" Characteristics' Presence Are Related with Questions' Performance: An Empirical Study on a Programming Community
Modeling and Predicting Crimes in the City of São Paulo Using Graph Neural Networks
Label Construction for Multi-label Feature Selection
Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining
Effects of Population Initialization on Evolutionary Techniques for Subgroup Discovery in High Dimensional Datasets
Pseudonymization in Legal Texts According to the LGPD: A Named Entity Recognition Approach
Inference with Aggregation Parfactors: Lifted Elimination with First-Order d-Separation
A Simple and Low-Cost Method for Leaf Surface Dimension Estimation Based on Digital Images
Automated Segmentation of Computed Tomography Images for COVID-19 Patient Evaluation
A Tool for Measuring Energy Consumption in Data Stream Mining
Predicting Engagement of Brazilian Politicians on TikTok: A Machine Learning Approach
Transformer Model for Fault Detection from Brazilian Pre-salt Seismic Data
Improved Airport Ground Traffic Control with Domain-Dependent Heuristics
BASWE: Balanced Accuracy-Based Sliding Window Ensemble for Classification in Imbalanced Data Streams with Concept Drift
An Improved Evolutionary Hybrid Method for Cloud Provider Selection
Police Report Similarity Search: A Case Study
An Ensemble of LLMs Finetuned with LoRA for NER in Portuguese Legal Documents
Genetic Learning Analysis of Fuzzy Rule-Based Classification Systems Considering Data Reduction
Ontology Based Classification of Electronic Health Records to Support Value-Based Health Care
Hybrid System for Time Series using Iterative Residual Forecasting Models
A Pareto-Based Symbiotic Relationships Model for Unconstrained Continuous Optimization
How to Generate Synthetic Paintings to Improve Art Style Classification
A Scalability Approach Based on Multilevel Optimization for Link Prediction Methods
Intelligent Systems - 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17-21, 2024, Proceedings, Part I
An ALC Description Default Logic with Exceptions-First
Stealthy Path Planning Using Navigation Meshes
Evaluation Methodology for Multiclass Novelty Detection Algorithms
A Random Forest Classifier for Prokaryotes Gene Prediction
On the Refinement of Compensation-Based Semantics for Weighted Argumentation Frameworks
A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods
Equity Trading at the Brazilian Stock Market Using a Q-Learning Based System
A Multi-armed Bandit Hyper-Heuristic
Predicting Bull and Bear Markets: A Deep Learning and Linear Regression Study in Cryptocurrencies
Stock Closing Price Forecasting Using Ensembles of Constructive Neural Networks
Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction
Enhancement on the Labeled Component Unfolding System for Parallel Implementations
Algebraic Sentential Decision Diagrams in Symbolic Probabilistic Planning
A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices
Dynamic Software Project Scheduling Problem with PSO and Dynamic Strategies Based on Memory
The Role of Discount Factor in Risk Sensitive Markov Decision Processes
A Study on the Impact of Intradomain Finetuning of Deep Language Models for Legal Named Entity Recognition in Portuguese
Texture Analysis Based on Structural Co-occurrence Matrix Improves the Colorectal Tissue Characterization
An Online Pyramidal Embedding Technique for High Dimensional Big Data Visualization
FaQuAD: Reading Comprehension Dataset in the Domain of Brazilian Higher Education
The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA
Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem
Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm
Euclidean Alignment for Transfer Learning in Multi-band Common Spatial Pattern
A Transformer-Based Tabular Approach to Detect Toxic Comments
An RBF Network Based Crossover for Pseudo-Boolean Optimization
A Useful Tool to Support the Ontology Alignment Repair
Cartesian Genetic Programming with Crossover for Designing Combinational Logic Circuits
A Temporal Clustering Algorithm for Achieving the Trade-off between the User Experience and the Equipment Economy in the Context of IoT
A Protocol for Argumentation-Based Persuasive Negotiation Dialogues
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification
De-Identification of Clinical Notes Using Contextualized Language Models and a Token Classifier
Terminology Learning through Taxonomy Discovery
Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms
PBFVMC: A New Pseudo-Boolean Formulation to Virtual-Machine Consolidation
Generalising Semantics to Weighted Bipolar Argumentation Frameworks
A Novel Equidistant-Scattering-Based Cluster Index
Solving Atomix with Pattern Databases
Short-and-Long-Term Impact of Initialization Functions in NeuroEvolution
Combining Clustering and Genetic Algorithms for Portfolio Optimization: A Case Study with B3 Companies
Random Walk in Feature-Sample Networks for Semi-supervised Classification
SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases