yusuke1997/dblp-id-title huggingface dataset:
A Comparative Analysis of MOEAs Considering Two Discrete Optimization Problems
Specifying Preferences over Policies Using Branching Time Temporal Logic
Continuous-Valued Quaternionic Hopfield Neural Network for Image Retrieval: A Color Space Study
Algorithms for Multiple Contraction and an Application to OWL Ontologies
Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problem
Diagnosis of Apple Fruit Diseases in the Wild with Mask R-CNN
Binary Flying Squirrel Optimizer for Feature Selection
A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation
Neural Architecture Search Applied to Hybrid Morphological Neural Networks
Ensemble Regression Models Applied to Dropout in Higher Education
A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition
Evaluating Clustering Meta-features for Classifier Recommendation
A Stable and Online Approach to Detect Concept Drift in Data Streams
Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach
Active Learning Embedded in Incremental Decision Trees
Semi-periodic Activation for Time Series Classification
Special-Crowd-Distance Boosted MESH Applied to the Operation of Cascade Hydro-Power Plants
Data Normalization in Structural Health Monitoring by Means of Nonlinear Filtering
A Deep Learning Approach to Detect Hyoid Bone in Ultrasound Exam
SSL-C4.5: Implementation of a Classification Algorithm for Semi-supervised Learning Based on C4.5
A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique
Effects of Emotion Grouping for Recognition in Human-Robot Interactions
A Comparison of Hierarchical Biclustering Ensemble Methods
Comparing LIME and SHAP Global Explanations for Human Activity Recognition
Multiagent Circumnavigation by Reactive Decentralized Algorithm
Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence
MAS4GC: Multi-agent System for Glycemic Control of Intensive Care Unit Patients
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes
B^2RTDP: An Efficient Solution for Bounded-Parameter Markov Decision Process
Parallel Monte Carlo Tree Search in General Video Game Playing
Automatic Classification of Medicinal Plant Species Based on Color and Texture Features
Domain Adaptation of Transformers for English Word Segmentation
Experiments on Kaldi-Based Forced Phonetic Alignment for Brazilian Portuguese
A Multilevel Approach for Overlapping Community Detection
Discriminating between Brazilian and European Portuguese National Varieties on Twitter Texts
An Empirical Analysis of Meta-learning for the Automatic Choice of Architecture and Components in Ensemble Systems
Particle Swarm Localization for Mobile Robots Using a 2D Laser Sensor
K-Fact: Using the Frequency Factor for Clustering Categorical Data
Cost-Sensitive Measures of Algorithm Similarity for Meta-learning
Affective States in Novice Programmers: Automatically Detecting and Analyzing the Impact on Learning
Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data
Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks
University Entrance Exam as a Guiding Test for Artificial Intelligence
Resolving Resource Incompatibilities in Intelligent Agents
Gene Essentiality Prediction Using Topological Features From Metabolic Networks
On the Equivalence Between Logic Programs and Bipolar Argumentation Frameworks
MAT-Tree: A Tree-Based Method for Multiple Aspect Trajectory Clustering
On the Multiple Possible Adaptive Mechanisms of the Continuous Ant Colony Optimization
Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples
A Grammar-based Genetic Programming Hyper-Heuristic for Corridor Allocation Problem
Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems
Determining the Structure of Decision Directed Acyclic Graphs for Multiclass Classification Problems
Comparative Study of Genetic Algorithm and Ant Colony Optimization Algorithm Performances for the Task of Guitar Tablature Transcription
Adaptive Method for Segmentation of Vehicles through Local Threshold in the Gaussian Mixture Model
Non-unitary Quantum Associative Memory
SPt: A Text Mining Process to Extract Relevant Areas from SW Documents to Exploratory Tests
Exploitability Assessment with Genetically Tuned Interconnected Neural Networks
A Trust and Reputation Framework for Game Agents: Providing a Social Bias to Computer Players
Differential Evolution with Cluster-Based External Archive and Local Search for Multimodal Optimization
An Adaptive Multi-level Framework for Forest Species Recognition
Generalized Probabilistic Satisfiability
Multi-class Emotions Classification by Sentic Levels as Features in Sentiment Analysis
Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems
Automated Left Ventricle Posterior Wall Segmentation Using Kohonen Self-Organizing Map
Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices
Developing Resource-Efficient Clinical LLMs for Brazilian Portuguese
Transforming Multi-agent Planning Into Single-Agent Planning Using Best-Cost Strategy
A Electric Network Reconfiguration Strategy with Case-Based Reasoning for the Smart Grid
Solving a Spatial Puzzle Using Answer Set Programming Integrated with Markov Decision Process
d-CC Integrals: Generalizing CC-Integrals by Restricted Dissimilarity Functions with Applications to Fuzzy-Rule Based Systems
Towards a Theory of Hyperintensional Belief Change
The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data
Efficient Minimal Learning Machines with Reject Option
Dyna-MLAC: Trading Computational and Sample Complexities in Actor-Critic Reinforcement Learning
Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design
Toward in Loco Cancer Therapy by Biomolecular Computer
Ranking Keyphrases from Semantic and Syntactic Features of Textual Terms
Comparing Neural Network Encodings for Logic-Based Explainability
Analyzing Electoral Donations Through Congress Ideological Segmentation
Development of a Deep Learning Model for the Classification of Mosquito Larvae Images
Time Robust Trees: Using Temporal Invariance to Improve Generalization
Abstract State Transition Graphs for Model-Based Reinforcement Learning
PAN RAM Bootstrapping Regressor - A New RAM-Based Architecture for Regression Problems
Convolutional Sparse Feature Descriptor for Object Recognition in CIFAR-10
On Using Sum-Product Networks for Multi-label Classification
Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks
Generating Plans Using LRTA
Metaheuristic Design Pattern: Visitor for Genetic Operators
Automatic Summarization of Technical Documents in the Oil and Gas Industry
Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators
A New Hybridization of Evolutionary Algorithms, GRASP and Set-Partitioning Formulation for the Capacitated Vehicle Routing Problem
Tabu Search with Ejection Chain for the Biobjective Adjacent-Only Quadratic Spanning Tree
Using BERT to Predict the Brazilian Stock Market
Decoding Machine Learning Benchmarks
Dog Face Recognition Using Vision Transformer
Fitting Parameters on Quantum Weightless Neuron Dynamics
An Incremental MaxSAT-Based Model to Learn Interpretable and Balanced Classification Rules
Semantic Segmentation of Static and Dynamic Structures of Marina Satellite Images using Deep Learning
Ensemble of Algorithms for Multifocal Cervical Cell Image Segmentation
Embedding Representations for AutoML Pipelines
A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting
A Comparative Study of Federated Versus Centralized Learning for Time Series Prediction in IoT
An Embedded Network Based Platform for Cognitive Robotics
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers
Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming
When Less May Be More: Exploring Similarity to Improve Experience Replay
An Empirical Comparison of Dissimilarity Measures for Time Series Classification
Explainability of Machine Learning Models with XGBoost and SHAP Values in the Context of Coping with Disasters
Towards an Organisation-Centred Semantics for Argumentation-Based Dialogues
Meta-learning and Multi-objective Optimization to Design Ensemble of Classifiers
Ad Network Optimization: Evaluating Linear Relaxations
Capturing Relationships in Multi-objective Optimization
Named Entity Recognition for Brazilian Portuguese Product Titles
MegaLite PT : A Corpus of Literature in Portuguese for NLP
Advances in Automatically Solving the ENEM
Update Summarization for Portuguese
Experiments on Portuguese Clinical Question Answering
Looking at the Bottom and the Top: A Hybrid Logical Relational Learning System Based on Answer Sets
Identifying Traffic Event Types from Twitter by Multi-Label Classification
Robust Ranking of Brazilian Supreme Court Decisions
Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast
IGMM-CD: A Gaussian Mixture Classification Algorithm for Data Streams with Concept Drifts
Increasing Accuracy of Medical CNN Applying Optimization Algorithms: An Image Classification Case
DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack
Knowledge Representation for Argumentation in Agent-Oriented Programming Languages
2017 Brazilian Conference on Intelligent Systems, BRACIS 2017, Uberlândia, Brazil, October 2-5, 2017
Quantification in Data Streams: Initial Results
Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development
Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data
MilkQA: A Dataset of Consumer Questions for the Task of Answer Selection
BLUEX: A Benchmark Based on Brazilian Leading Universities Entrance eXams
Multi-objective Long-Short Term Memory Neural Networks for Speaker Diarization in Telephone Interactions
Classification of Non-alcoholic Fatty Liver Disease in Thermal Images of the Liver Using a Siamese Neural Network
Impacts of Multiple Solutions on the Lackadaisical Quantum Walk Search Algorithm
Quota Traveling Salesman with Passengers and Collection Time
Relevance Image Sampling from Collection Using Importance Selection on Randomized Optimum-Path Trees
Time-Dependent Item Embeddings for Collaborative Filtering
An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese
Twitter Moral Stance Classification Using Long Short-Term Memory Networks
A Pipelined Approach to Deal with Image Distortion in Computer Vision
Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining
Portuguese Part-of-Speech Tagging with Large Margin Structure Learning
A Fuzzy Reasoning Method Based on Ensembles of Generalizations of the Choquet Integral
A Hybrid Competent Multi-swarm Approach for Many-Objective Problems
To Answer or Not to Answer? Filtering Questions for QA Systems
Dimensionality Reduction for the Algorithm Recommendation Problem
Improving FIFA Player Agents Decision-Making Architectures Based on Convolutional Neural Networks Through Evolutionary Techniques
[inline-graphic not available: see fulltext] ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation
A Topology-Inspired Approach to AGM Belief Change
Automated and Intelligent Vocational Guidance System for Classifying Specialties Based on POSCOMP Microdata
A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets
A Combinatorial Optimization Model and Polynomial Time Heuristic for a Problem of Finding Specific Structural Patterns in Networks
Dynamic Feature Selection for Classifier Ensembles
A Fuzzy Variant for On-Demand Data Stream Classification
BERTimbau: Pretrained BERT Models for Brazilian Portuguese
Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems
Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure
Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging
Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure
A Multivariate Method for Group Profiling Using Subgroup Discovery
KSIG: Improving the Convergence Rate in Adaptive Filtering Using Kernel Hilbert Space
Using Artificial Datasets to Analyze How Cardinality and Density Influence Multi-label Learning
Using Preferences over Sources of Information in Argumentation-Based Reasoning
Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator
Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification
Statistical and Deep Learning Models for Forecasting Drug Distribution in the Brazilian Public Health System
Hyperparameter Tuning and its Effects on Cardiac Arrhythmia Prediction
A Hybrid System with Nonlinear Combination for Wind Speed Forecasting
Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem
MAVIS: A Multiagent Value Investing System
An Evolving Artificial Neural Network for the Investigation of Rat Exploratory Behavior
Analysis of the Influence of the MVDR Filter Parameters on the Performance of SSVEP-Based BCI
Hate Speech Classification in Social Media Using Emotional Analysis
Using Clustering in Eye-Tracking Calibration Task
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks
(Deep) Learning from Frames
Multiple Object Tracking in Native Bee Hives: A Case Study with Jataí in the Field
Context-Aware Techniques for Cross-Domain Recommender Systems
Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment
A Face Recognition Framework for Illumination Compensation Based on Bio-Inspired Algorithms
Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection
mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer
Slot Sharing Mechanism in Multi-domain Dialogue Systems
Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models
Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic
A Robust Automatic License Plate Recognition System for Embedded Devices
People Identification Based on Soft Biometrics Features Obtained from 2D Poses
Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering
Building a Language Model for Local Coherence in Multi-document Summaries Using a Discourse-Enriched Entity-Based Model
The Use of Deep Learning to Support Math Teaching and Learning for the Blind
A Cluster Based Hybrid Feature Selection Approach
Evaluating the SBR Algorithm Using Automatically Generated Plan Libraries
Using External Information for Classifying Tweets
A Monte Carlo Algorithm for Time-Constrained General Game Playing
Rhetorical Role Identification for Portuguese Legal Documents
Human Action Recognition using 2D Poses
Investigating Universal Adversarial Attacks Against Transformers-Based Automatic Essay Scoring Systems
A Large Dataset of Spontaneous Speech with the Accent Spoken in São Paulo for Automatic Speech Recognition Evaluation
Classification of Facial Images to Assist in the Diagnosis of Autism Spectrum Disorder: A Study on the Effect of Face Detection and Landmark Identification Algorithms
Influence of Reference Points on a Many-Objective Optimization Algorithm
An Enactive Self-Model for Sparse Representations and Improved Performance
Dynamicity Analysis in the Selection of Classifier Ensembles Parameters
A Survey and Comparison of Trajectory Classification Methods
Exploiting Multiple Recommenders to Improve Group Recommendation
Automatic Selection of Learning Bias for Active Sampling
Using Jason to Develop Refactoring Agents
Data Streams Are Time Series: Challenging Assumptions
Humanities and AI: Ethical Education in Technology Careers
Social Analysis of Game Agents: How Trust and Reputation can Improve Player Experience
Nonlinear Discriminant Principal Component Analysis for Image Classification and Reconstruction
Collision Detection with Monocular Vision for Assisting in Mobility of Visually Impaired People
Deep Active-Self Learning Applied to Named Entity Recognition
2015 Brazilian Conference on Intelligent Systems, BRACIS 2015, Natal, Brazil, November 4-7, 2015
Archive Based Multi-swarm Algorithm for Many-Objective Problems
Towards an Interpretable Metric for DOTA 2 Players: An Unsupervised Learning Approach
Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays
HAVANA: Hybrid Attentional Graph Convolutional Network Semantic Venue Annotation Model
Generalized Iterated Belief Change in Dynamic Epistemic Logic
ReliefF for Multi-label Feature Selection
A Rough Sets-Based Method with Belief Merging Operators for Multiclass Classification Problems
Artificial Neural Networks to Analyze Energy Consumption and Temperature of UAV On-Board Computers Executing Algorithms for Object Detection
A Contrastive Objective for Training Continuous Generative Flow Networks
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models
Towards Generating P-Contrastive Explanations for Goal Selection in Extended-BDI Agents
Coalition Generation Scalability through Community Detection: Results on Real Graphs
How Resilient Are Imitation Learning Methods to Sub-optimal Experts?
Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery
Can Twitter Data Estimate Reality Show Outcomes?
Bio-Inspired Algorithms for Many-Objective Discrete Optimization
Synthesis of Quantifier-Free First-Order Sentences from Noisy Samples of Strings
Control of Gene Regulatory Networks Basin of Attractions with Batch Reinforcement Learning
Portuguese Neural Text Simplification Using Machine Translation
Tractable Reasoning about Agent Programming in Dynamic Preference Logic
Occupation Measure Heuristics to Solve Stochastic Shortest Path with Dead Ends
Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence Based on BERT
Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation
The Artificial Intelligence as a Technological Resource in the Application of Tasks for the Development of Joint Attention in Children with Autism
Using Complex Networks to Improve Legal Text Hierarchical Classification
Cooperative Observation of Smart Target Agents
Promoting Reusability and Extensibility in the Engineering of Domain-Specific Conversational Systems
Intelligent Agents for Observation and Containment of Malicious Targets Organizations
Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods
A Probabilistically-Oriented Analysis of the Performance of ASR Systems for Brazilian Radios and TVs
Can NetGAN be Improved on Short Random Walks?
Tackling Low-Resource ECG Classification with Self-supervised Learning
A Hybrid Metaheuristic for the Traveling Car Renter Salesman Problem
A Group Search Optimization Method for Data Clustering
A Deep Learning Approach for Aspect Sentiment Triplet Extraction in Portuguese
Correcting Inconsistencies through Association Rules in Temporal Large Growing Knowledge Bases
A Computational Tool for Automated Detection of Genetic Syndrome Using Facial Images
Gradient Estimation in Model-Based Reinforcement Learning: A Study on Linear Quadratic Environments
Analytical Calculation of Hidden Layer Biases in Extreme Learning Machines with Sinusoidal Activation Function
A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark
FastContext: Handling Out-of-Vocabulary Words Using the Word Structure and Context
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters
A Fuzzy-Adaptive Approach to Segment Metaphase Chromosome Images
Online Selection of Heuristic Operators with Deep Q-Network: A Study on the HyFlex Framework
Deep Neural Networks for Handwritten Chinese Character Recognition
A Framework for Characterizing What Makes an Instance Hard to Classify
An Occlusion Calculus Based on an Interval Algebra
No-Reference Image Quality Assessment Using Texture Information Banks
KNN Applied to PDG for Source Code Similarity Classification
Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles
Tensor Fukunaga-Koontz Transform for Hierarchical Clustering
A Multi-algorithm Approach to the Optimization of Thermal Power Plants Operation
Evaluating Large Language Models for Tax Law Reasoning
A Concept-Based ILP Approach for Multi-document Summarization Exploring Centrality and Position
On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models
Transducer State Prediction System for Smart Environment Intelligent Control
Syntactic Compression of Description Logics Terminologies
Image Processing with Convolutional Neural Networks for Classification of Plant Diseases
Applying Theory of Mind to Multi-agent Systems: A Systematic Review
Optimizing CleanUNet Architecture Parameters for Enhancing Speech Denoising
A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts
An Approach to Establish the Negotiation Agenda in Argumentation-Based Contexts
Adaptive Algorithms in Accelerometer Biometrics
Adaptive Fast XGBoost for Regression
Likelihood Estimator for Multi Model-Based Reinforcement Learning
Development of Criminal Ontologies to Enhance Situation Assessment
Estimating Code Running Time Complexity with Machine Learning
A Multi-level Semantics Formalism for Multi-Agent Microservices
Learning Global Optimization by Deep Reinforcement Learning
Simulating Complexity Measures on Imbalanced Datasets
Lacunarity as a Tool for Analyzing Satellite Images of Urban Areas
Solving NP-complete Problems Using Quantum Weightless Neuron Nodes
Unsupervised Statistical Keyword Extraction Pipeline: Is LLM All You Need?
An Experimental Evaluation of the Algorithm Mean Upper Heuristic for Interval Data Min-Max Regret Combinatorial Optimization Problem
Recognizing Fractal Patterns Using a Ring of Phase Oscillators
A Frequency Learning Approach Based on the Hartley Transform for Texture Classification
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought
Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects
Residual MLP Network for Mental Fatigue Classification in Mining Workers from Brain Data
AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification
Reinforcement Learning with Utility-Based Semantic for Goals
Symbolic Planning for Strong-Cyclic Policies
Supervised Training of a Simple Digital Assistant for a Free Crop Clinic
Generating Diverse Clustering Datasets with Targeted Characteristics
LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain
HSS: Compact Set of Partitions via Hybrid Selection
An Instance Level Analysis of Classification Difficulty for Unlabeled Data
Stochastic Bisimulation for MDPs Using Reachability Analysis
A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning
Authorship Attribution of Brazilian Literary Texts Through Machine Learning Techniques
A New Method for Identification of Recombining Components in the Generalized Partition Crossover
Fire and Water: Using Deep Learning to Recognize Fluid Substances
Extreme Learning Machine to Graph Convolutional Networks
Grouping Similar Trajectories for Carpooling Purposes
Evaluating a New Approach to Data Fusion in Wearable Physiological Sensors for Stress Monitoring
Diversity in Data for Speech Processing in Brazilian Portuguese
Analyzing the Impact of Coarsening on k-Partite Network Classification
Selecting the Most Relevant Features for the Identification of Long Non-Coding RNAs in Plants