Main Track
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality
A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems
Inheritances of Orthogonality in the Bio-inspired Layered Networks
A Neural Architecture for Detecting Identifier Renaming from Diff
Spell Checker Application Based on Levenshtein Automaton
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data
AutoML technologies for the identification of sparse models
A Hierarchical Multi-Label Classification of Multi-Resident Activities
Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem
Plagiarism Detection by Usage of Encoplot and Transformers
Drift Detection in Text Data with Document Embeddings
Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement
Multi Language Application of Previously Developed Transcripts Classifier
A complexity measure for binary classification problems based on lost points
Linear Concept Approximation for Multilingual Document Recommendation
Unsupervised Detection of Solving Strategies for Competitive Programming
Application of long short-term memory neural networks for electric arc furnace modelling
An Empirical Study of the Impact of Field Features in Learning-to-rank Method
An Optimized Evidential Artificial Immune Recognition System based on Genetic Algorithm
New Arabic Medical Dataset for Diseases Classification
Improving Maximum Likelihood Estimation using Marginalization and Black-Box Variational Inference
A Deep Learning-Based Approach for Train Arrival Time Prediction
A Hybrid Approach for Predicting Bitcoin Price using Bi-LSTM and Bi-RNN Based Neural Network
DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring
Time-series in Hyper-parameter Initialization of Machine Learning Techniques
Prediction of Maintenance Equipment Failures Using Automated Machine Learning
Learning Inter-Lingual Document Representations via Concept Compression
Mixture-based probabilistic graphical models for the partial label ranking problem
From classification to visualization: a two way trip
Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora
Countering misinformation through semantic-aware multilingual models
Genetic and Ant Colony algorithms to solve the multi-TSP
Explainable AI (XAI) in Healthcare Opportunities, Gaps and Challenges and a New Way to Look the Problem Space
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method
Evaluating Football Player Actions during Counterattacks
An Intelligent Decision Support System for Production Planning in Garments Industry
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images
"A Profile on Twitter Shadowban: an AI Ethics
position paper on Free-Speech"
Meta-Feature Extraction Strategies for Active Anomaly Detection
An implementation of the "Guess who?" game using CLIP
Directional Graph Transformer-based Control Flow Embedding for Malware Classification
Violence Detection with Audio inside the Car
Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
LSTM neural network modeling of wind speed and correlation analysis of wind and waves
Finding Local Explanations through Masking Models
Wind Turbine Modelling based on Neural Networks: a First Approach
Multi-Attribute Forecast of the Price in the Iberian Electricity Market
Tracking the temporal-evolution of supernova bubbles in numerical simulations
SOMiMS
Topographic Mapping in the Model Space
Fair Regret Minimization Queries
Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis
Special Session on Clustering for Interpretable Machine Learning
Detecting Communities in Feature-Rich Networks with a K-Means Method
Meta-learning based feature selection for clustering
ACHC: Associative Classifier based on Hierarchical Clustering
Special Session on Machine Learning towards Smarter Multimodal Systems
Multimodal Semi-supervised Bipolar Disorder Classification
Developments on support vector machines for multiple-expert learning
WalkingStreet: understanding human mobility phenomena through a mobile application
Indoor Positioning System for Ubiquitous Computing Environments
Special Session on Computational Intelligence for Computer Vision and Image Processing
T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning
Radar echo image prediction algorithm based on multi-scale encoding-decoding network.