E-raamat: Intelligent Data Engineering and Automated Learning - IDEAL 2021: 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings

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
AutomatedMachine 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.