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ORCID22nd IDEAL 2021: Manchester, UK
- Hujun Yin
, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7
Main Track
- Luís Miguel Matos, André Domingues, Guilherme Moreira, Paulo Cortez, André Luiz Pilastri:
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. 3-11 - Eneko Osaba, Erlantz Loizaga, Xabier Goenaga, Valentín Sánchez:
A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems. 12-20 - Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki, Tokuro Matsuo:
Inheritances of Orthogonality in the Bio-inspired Layered Networks. 21-32 - Qiqi Gu, Wei Ke:
A Neural Architecture for Detecting Identifier Renaming from Diff. 33-44 - Alexandru Buse-Dragomir, Paul-Stefan Popescu, Marian Cristian Mihaescu:
Spell Checker Application Based on Levenshtein Automaton. 45-53 - Tajul Miftahushudur, Bruce Grieve, Hujun Yin:
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data. 54-64 - Aleksei Liuliakov, Barbara Hammer:
AutoML Technologies for the Identification of Sparse Models. 65-75 - Hiba Mehri, Tayeb Lemlouma, Nicolas Montavont:
A Hierarchical Multi-label Classification of Multi-resident Activities. 76-86 - Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov:
Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem. 87-96 - Ciprian Amzuloiu, Marian Cristian Mihaescu, Traian Rebedea:
Combining Encoplot and NLP Based Deep Learning for Plagiarism Detection. 97-106 - Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier:
Drift Detection in Text Data with Document Embeddings. 107-118 - Diana Iulia Bleoanca, Stella Heras, Javier Palanca, Vicente Julián, Marian Cristian Mihaescu:
Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement. 119-127 - Theodora Danciulescu, Stella Heras, Javier Palanca, Vicente Julián, Marian Cristian Mihaescu:
Multi Language Application of Previously Developed Transcripts Classifier. 128-136 - Carmen Lancho, Isaac Martín de Diego, Marina Cuesta, Víctor Aceña, Javier M. Moguerza:
A Complexity Measure for Binary Classification Problems Based on Lost Points. 137-146 - Vilmos Tibor Salamon, Tsegaye Misikir Tashu, Tomás Horváth:
Linear Concept Approximation for Multilingual Document Recommendation. 147-156 - Alexandru Stefan Stoica, Daniel Babiceanu, Marian Cristian Mihaescu, Traian Rebedea:
Unsupervised Detection of Solving Strategies for Competitive Programming. 157-165 - Maciej Klimas, Dariusz Grabowski:
Application of Long Short-Term Memory Neural Networks for Electric Arc Furnace Modelling. 166-175 - Hua Yang, Teresa Gonçalves:
An Empirical Study of the Impact of Field Features in Learning-to-rank Method. 176-187 - Rihab Abdelkhalek, Zied Elouedi:
An Optimized Evidential Artificial Immune Recognition System Based on Genetic Algorithm. 188-195 - Jaafar Hammoud, Aleksandra Vatian, Natalia V. Dobrenko, Nikolai Vedernikov, Anatoly Shalyto, Natalia F. Gusarova:
New Arabic Medical Dataset for Diseases Classification. 196-203 - Soroosh Shalileh:
Improving Maximum Likelihood Estimation Using Marginalization and Black-Box Variational Inference. 204-212 - Bas Jacob Buijse, Vahideh Reshadat, Oscar Willem Enzing:
A Deep Learning-Based Approach for Train Arrival Time Prediction. 213-222 - Sunanda Das, Masum Billah, Suraiya Akter Mumu:
A Hybrid Approach for Predicting Bitcoin Price Using Bi-LSTM and Bi-RNN Based Neural Network. 223-233 - Boyan Xu, Hujun Yin:
DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring. 234-245 - Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. 246-258 - Luís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez:
Prediction of Maintenance Equipment Failures Using Automated Machine Learning. 259-267 - Marc Lenz, Tsegaye Misikir Tashu, Tomás Horváth:
Learning Inter-Lingual Document Representations via Concept Compression. 268-276 - Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem. 277-288 - Marina Cuesta, Isaac Martín de Diego, Carmen Lancho, Víctor Aceña, Javier M. Moguerza:
From Classification to Visualization: A Two Way Trip. 289-299 - João Correia, Rui Mendes:
Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora. 300-311 - Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Countering Misinformation Through Semantic-Aware Multilingual Models. 312-323 - Sílvia de Castro Pereira, E. J. Solteiro Pires, Paulo B. de Moura Oliveira:
Genetic and Ant Colony Algorithms to Solve the Multi-TSP. 324-332 - Petra Korica, Neamat El Gayar, Wei Pang:
Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space. 333-342 - Turki Turki, Anmar Al-Sharif, Y-h. Taguchi:
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images. 343-353 - Wei Song, Chuanlong Zheng:
SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method. 354-366 - Laurynas Raudonius, Richard Allmendinger:
Evaluating Football Player Actions During Counterattacks. 367-377 - Rui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez:
An Intelligent Decision Support System for Production Planning in Garments Industry. 378-386 - Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho:
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images. 387-396 - Francisco Supino Marcondes, Adelino Gala, Dalila Durães, Fernando Moreira, José João Almeida, Vania Baldi, Paulo Novais:
A Profile on Twitter Shadowban: An AI Ethics Position Paper on Free-Speech. 397-405 - Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo:
Meta-feature Extraction Strategies for Active Anomaly Detection. 406-414 - Arnau Martí-Sarri, Víctor Rodríguez-Fernández:
An Implementation of the "Guess Who?" Game Using CLIP. 415-425 - Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification. 426-436 - Flávio Arthur O. Santos, Dalila Durães, Francisco Supino Marcondes, Niklas Hammerschmidt, Sascha Lange, José Machado, Paulo Novais:
In-Car Violence Detection Based on the Audio Signal. 437-445 - Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais:
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants. 446-457 - Carlos Serrano-Barreto, Cristina Leonard, Matilde Santos:
LSTM Neural Network Modeling of Wind Speed and Correlation Analysis of Wind and Waves. 458-466 - Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò:
Finding Local Explanations Through Masking Models. 467-475 - Jesús Enrique Sierra-García, Matilde Santos:
Wind Turbine Modelling Based on Neural Networks: A First Approach. 476-484 - Gonçalo Peres, Antonio J. Tallón-Ballesteros, Luís Cavique:
Multi-Attribute Forecast of the Price in the Iberian Electricity Market. 485-492 - Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino:
Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations. 493-501 - Xinyue Chen, Yuan Shen, Eder Zavala, Krasimira Tsaneva-Atanasova, Thomas Upton, Georgina Russell, Peter Tino:
SOMiMS - Topographic Mapping in the Model Space. 502-510 - Yuan Ma, Jiping Zheng:
Fair Regret Minimization Queries. 511-523 - Mang Yu, Sitao Huang, Deming Chen:
Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. 524-536
Special Session on Clustering for Interpretable Machine Learning
- Soroosh Shalileh, Boris G. Mirkin:
Detecting Communities in Feature-Rich Networks with a K-Means Method. 539-547 - Oleg Taratukhin, Sergey Muravyov:
Meta-Learning Based Feature Selection for Clustering. 548-559 - Jamolbek Mattiev, Branko Kavsek:
ACHC: Associative Classifier Based on Hierarchical Clustering. 560-571
Special Session on Machine Learning towards Smarter Multimodal Systems
- Niloufar AbaeiKoupaei, Hussein Al Osman:
Multimodal Semi-supervised Bipolar Disorder Classification. 575-586 - Ana Cristina Umaquinga-Criollo, Juan D. Tamayo-Quintero, María N. Moreno García, Yahya Aalaila, Diego Hernán Peluffo-Ordóñez:
Developments on Support Vector Machines for Multiple-Expert Learning. 587-598 - Luís Rosa, Fábio Silva, Cesar Analide:
WalkingStreet: Understanding Human Mobility Phenomena Through a Mobile Application. 599-610 - Pedro Albuquerque Santos, Rui Pedro da Costa Porfírio, Rui Neves Madeira, Nuno Correia:
Indoor Positioning System for Ubiquitous Computing Environments. 611-622
Special Session on Computational Intelligence for Computer Vision and Image Processing
- Libing Wang, Li He, Junyu Li, Deane Zeng, Yimin Wen:
T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning. 625-636 - Xingang Mou, Chang Liu, Xiao Zhou:
Radar Echo Image Prediction Algorithm Based on Multi-scale Encoding-Decoding Network. 637-646
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