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ORCID23rd IDEAL 2022: Manchester, UK
- Hujun Yin
, David Camacho, Peter Tiño:
Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings. Lecture Notes in Computer Science 13756, Springer 2022, ISBN 978-3-031-21752-4
Main Track
- Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Teresa Gonçalves, Kaushik Roy:
Ensemble Stack Architecture for Lungs Segmentation from X-ray Images. 3-11 - Tsegaye Misikir Tashu, Tomás Horváth:
Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring. 12-21 - Hugo Calero-Díaz, David Chushig-Muzo, Cristina Soguero-Ruíz:
Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques. 22-30 - Daniel Theisges dos Santos, Mauro Roisenberg, Marivaldo dos Santos Nascimento:
Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs. 31-41 - Arsenii Tretiakov, Alejandro Martín, David Camacho:
Detection of False Information in Spanish Using Machine Learning Techniques. 42-53 - Hugo Faria, Manuel Rodrigues, Paulo Novais:
An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques. 54-63 - Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao, Valery Naranjo:
Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. 64-72 - Tiago Afonso, Cláudia Antunes:
Automatic Exploration of Domain Knowledge in Healthcare. 73-81 - Roxane Jouseau, Sébastien Salva, Chafik Samir:
On Studying the Effect of Data Quality on Classification Performances. 82-93 - Fagner José de Matos Macêdo, Ajalmar Rêgo da Rocha Neto:
A Binary Water Flow Optimizer Applied to Feature Selection. 94-103 - Pedro Machado, Bruno Fernandes, Paulo Novais:
Benchmarking Data Augmentation Techniques for Tabular Data. 104-112 - Dhruba Chakraborty, Mahima Rabbi, Maisha Hossain, Saraf Noor Khaled, Maria Khanom Oishi, Md. Golam Rabiul Alam:
Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks. 113-121 - Hans Aoyang Zhou, Aymen Gannouni, Tala Bazazo, Johannes Tröndle, Anas Abdelrazeq, Frank Hees:
Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines. 122-133 - Andreas Karatzas, Aristeidis Karras, Christos N. Karras, Konstantinos C. Giotopoulos, Konstantinos Oikonomou, Spyros Sioutas:
On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent. 134-145 - Hugo Carvalho, André Luiz Pilastri, Arthur Matta, Luís Miguel Matos, Rui Novais, Paulo Cortez:
An Intelligent Decision Support System for Road Freight Transport. 146-156 - Paulo Barbosa, Flora J. Ferreira, Carlos Fernandes, Wolfram Erlhagen, Pedro M. F. Guimarães, Weronika Wojtak, Sérgio Monteiro, Estela Bicho:
Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods. 157-169 - Vahab Samandi, Peter Tino, Rami Bahsoon:
Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network. 170-178 - Jaime Andres Rincon, Cédric Marco-Detchart, Vicente Julián, Carlos Carrascosa, Paulo Novais:
Towards a Low-Cost Companion Robot for Helping Elderly Well-Being. 179-187 - Zhiyuan Wang, Cheng Chen, Ke Tang:
Zero-Shot Knowledge Graph Completion for Recommendation System. 188-198 - Regina Sousa, Daniela Oliveira, Ana Carneiro, Luis Pinto, Ana Pereira, Ana Peixoto, Hugo Peixoto, José Machado:
The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture. 199-210 - Stefan Iacob, Matthias Freiberger, Joni Dambre:
Distance-Based Delays in Echo State Networks. 211-222 - Hugo Faria, Maria Araújo Barbosa, Bruno Veloso, Francisco Supino Marcondes, Celso Lima, Dalila Durães, Paulo Novais:
EduBot: A Proof-of-Concept for a High School Motivational Agent. 223-232 - Piotr Jastrzebski, Barbara Jagielska, Mateusz Kolasa, Izabela Rejer, Maciej Gabrys:
A Simulation Model for Predicting the Spread of COVID-19 Virus. 233-241 - Manel Mili, Asma Kerkeni, Asma Ben Abdallah, Mohamed Hedi Bedoui:
ICU Mortality Prediction Using Long Short-Term Memory Networks. 242-251 - Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer:
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. 252-261 - Youcef Djenouri, Jon M. Hjelmervik, Elias Bjørne, Milad Mobarhan:
How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms. 262-270 - Adrián Viéitez Mariño, Matilde Santos Peñas, Rodrigo Naranjo:
Ethereum Investment Based on LSTM and GRU Forecast. 271-279 - Nuno Miquelina, Paulo Quaresma, Vítor Beires Nogueira:
Generating a European Portuguese BERT Based Model Using Content from Arquivo.pt Archive. 280-288 - Kyoung-Won Park, Sung-Bae Cho:
A Vision Transformer Enhanced with Patch Encoding for Malware Classification. 289-299 - Rihab Khadimallah, Ilhem Kallel, Fadoua Drira:
Association Rules Mining for Reducing Items from Emotion Regulation Questionnaires. 300-312 - Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. 313-325 - Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer:
Efficient Sensor Selection for Individualized Prediction Based on Biosignals. 326-337 - Suchismita Das, Nikhil R. Pal:
Understanding the Classes Better with Class-Specific and Rule-Specific Feature Selection, and Redundancy Control in a Fuzzy Rule Based Framework. 338-347 - Randy Lozada, Jorge Ruiz, Manuel Luis González Hernandez, Javier Sedano, José R. Villar, Ángel Miguel García-Vico, Erik S. Skibinsky-Gitlin:
Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference. 348-358 - Tae-Heon Kim, Hyung-Jun Moon, Sung-Bae Cho:
Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning. 359-368 - Yves Augusto Lima Romero, Ajalmar Rêgo da Rocha Neto:
Face ReID Method via Deep Learning. 369-378 - Tim Voigt, Marvin Schöne, Martin Kohlhase, Oliver Nelles, Martin Kuhn:
Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes. 379-390 - Rawaa Hamdi, Asma Kerkeni, Mohamed Hedi Bedoui, Asma Ben Abdallah:
Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation. 391-398 - Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut:
Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection. 399-410 - Constantin Octavian Puiu:
Randomized K-FACs: Speeding Up K-FAC with Randomized Numerical Linear Algebra. 411-422 - Joseph Bingham, Netanel Arussy, Saman A. Zonouz:
Guide-Guard: Off-Target Predicting in CRISPR Applications. 423-431 - James Cooper, Peter Mitic, Gesine Reinert, Tadas Temcinas:
Topological Analysis of Credit Data: Preliminary Findings. 432-442 - Sneha Chauhan, Loreen Mahmoud, Sugata Gangopadhyay, Aditi Kar Gangopadhyay:
A Comparative Study of LAD, CNN and DNN for Detecting Intrusions. 443-455 - Khouloud Saadi, Muhammad Taimoor Khan:
Effective Prevention of Semantic Drift in Continual Deep Learning. 456-464 - Luís Santos, Luís Miguel Matos, Luís Ferreira, Pedro Alves, Mário Viana, André Luiz Pilastri, Paulo Cortez:
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. 465-473 - Jon Rengel, Matilde Santos, Ravi Pandit:
EfficientNet Architecture Family Analysis on Railway Track Defects. 474-481 - Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo:
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization. 482-490 - Jesús Cantero, Adrián Colomer, Laëtitia Launet, Alexandre Duchevet, Théo de la Hogue, Jean-Paul Imbert, Valery Naranjo:
Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise. 491-499
Special Session on Intelligent Techniques for Real-World Applications of Renewable Energy and Green Transport
- Juan Tecedor Roa, Carlos Serrano, Matilde Santos, Jesús Enrique Sierra-García:
Identification of Variables of a Floating Wind Turbine Prototype. 503-512 - Rafael Poppenborg, Hatem Khalloof, Malte Chlosta, Tim Hofferberth, Clemens Düpmeier, Veit Hagenmeyer:
Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution. 513-524
Special Session on Computational Intelligence for Imbalanced Classification
- Zakarya Farou, Liudmila Kopeikina, Tomás Horváth:
Solving Multi-class Imbalance Problems Using Improved Tabular GANs. 527-539 - Nada Haj Messaoud, Asma Mansour, Rim Ayari, Asma Ben Abdallah, Mouna Aissi, Mahbouba Frih, Mohamed Hedi Bedoui:
Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation. 540-548
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