IDEAL C

50 papers

YearTitle / Authors
2023A Machine Learning Approach to Predict Cyclists' Functional Threshold Power.
Ronald Andrew Stockwell, Andrea Corradini
2023A Probabilistic Approach: Querying Web Resources in the Presence of Uncertainty.
Asma Omri, Djamal Bensliamne, Mohamed Nazih Omri
2023A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation.
Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro
2023A Subgraph Embedded GIN with Attention for Graph Classification.
Hyung-Jun Moon, Sung-Bae Cho
2023Adaptative Fuzzy Measure for Edge Detection.
Cédric Marco-Detchart, Giancarlo Lucca, Graçaliz Pereira Dimuro, Jaime Andres Rincon, Vicente Julián
2023An Urban Simulator Integrated with a Genetic Algorithm for Efficient Traffic Light Coordination.
Carlos H. Cubillas, Mariano Banquiero, Juan M. Alberola, Víctor Sánchez-Anguix, Vicente Julián, Vicent J. Botti
2023Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks.
Jair O. González, Rafael A. Berri, Giancarlo Lucca, Bruno Lopes Dalmazo, Eduardo N. Borges
2023Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination.
Diogo Ribeiro, Filipe Ferraz, Marta B. Lopes, Susana Rodrigues, Pedro Reis Costa, Susana Vinga, Alexandra M. Carvalho
2023Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification.
Christopher A. Flores, Rodrigo Verschae
2023Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification.
Halil Mertkan Sahin, Bruce Grieve, Hujun Yin
2023Comparing Ranking Learning Algorithms for Information Retrieval Systems.
Junior Zilles, Eduardo N. Borges, Giancarlo Lucca, Cédric Marco-Detchart, Rafael A. Berri, Graçaliz Pereira Dimuro
2023Complexity-Driven Sampling for Bagging.
Carmen Lancho, Marcilio C. P. de Souto, Ana Carolina Lorena, Isaac Martín de Diego
2023Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts.
Xingzhi Zhou, Xiang Liu, Yimin Wen
2023Detecting Image Forgery Using Support Vector Machine and Texture Features.
Garrett Greiner, Eva Tuba
2023Direct Determination of Operational Value-at-Risk Using Descriptive Statistics.
Peter Mitic
2023Domain Adaptation in Transformer Models: Question Answering of Dutch Government Policies.
Berry Blom, João L. M. Pereira
2023Efficient Model for Probabilistic Web Resources Under Uncertainty.
Asma Omri, Djamal Benslimane, Mohamed Nazih Omri
2023Emotion Extraction from Likert-Scale Questionnaires - - An Additional Dimension to Psychology Instruments -.
Renata Magalhães, Francisco Supino Marcondes, Dalila Durães, Paulo Novais
2023Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification.
Tajul Miftahushudur, Halil Mertkan Sahin, Bruce Grieve, Hujun Yin
2023Evaluating Text Classification in the Legal Domain Using BERT Embeddings.
José Alfredo F. Costa, Nielsen Castelo D. Dantas, Esdras Daniel S. A. Silva
2023Extracting Automatically a Domain Ontology from the "Book of Properties" of the Archbishop's Table of Braga.
José Pedro Carvalho, Orlando Belo, Anabela Barros
2023Extracting Knowledge from Incompletely Known Models.
Alejandro D. Peribáñez, Alberto Fernández-Isabel, Isaac Martín de Diego, Andrea Condado, Javier M. Moguerza
2023FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification.
Markus Weißflog, Peter Protzel, Peer Neubert
2023GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations.
Bruno Silva, Luiz Guerreiro Lopes
2023Generating Adversarial Examples Using LAD.
Sneha Chauhan, Loreen Mahmoud, Tanay Sheth, Sugata Gangopadhyay, Aditi Kar Gangopadhyay
2023Generating Wildfire Heat Maps with Twitter and BERT.
João Cabral Pinto, Hugo Gonçalo Oliveira, Alberto Cardoso, Catarina Silva
2023Glide Ratio Optimization for Wind Turbine Airfoils Based on Genetic Algorithms.
Jinane Radi, Abdelouahed Djebli, Jesús Enrique Sierra-García, Matilde Santos
2023Globular Cluster Detection in M33 Using Multiple Views Representation Learning.
Taned Singlor, Phonphrm Thawatdamrongkit, Prapaporn Techa-angkoon, Chutipong Suwannajak, Jakramate Bootkrajang
2023Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks.
Roberto C. Sotero, Jose Miguel Sanchez Bornot
2023Instance Selection Techniques for Large Volumes of Data.
Marco A. Peña-Cubillos, Antonio J. Tallón-Ballesteros
2023Intelligent Data Engineering and Automated Learning - IDEAL 2023 - 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings
Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julián, Antonio J. Tallón-Ballesteros
2023Language Models for Automatic Distribution of Review Notes in Movie Production.
Diego Garcés, Matilde Santos, David Fernández Llorca
2023Machine Learning for Time Series Forecasting Using State Space Models.
Jose Miguel Sanchez Bornot, Roberto C. Sotero
2023Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community.
Javier Torregrosa, Ángel Panizo-LLedot, Sergio D'Antonio-Maceiras, David Camacho
2023Modeling the Ink Tuning Process Using Machine Learning.
Catarina Costa, Carlos Abreu Ferreira
2023Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing.
Antón Makarov, Márcio M. Taddei, Eneko Osaba, Giacomo Franceschetto, Esther Villar-Rodriguez, Izaskun Oregi
2023Plant Disease Detection and Classification Using a Deep Learning-Based Framework.
Mridul Ghosh, Asifuzzaman Lasker, Poushali Banerjee, Anindita Manna, Sk Md Obaidullah, Teresa Gonçalves, Kaushik Roy
2023Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR.
Miguel Ángel García-Vaca, Jesús Enrique Sierra-García, Matilde Santos
2023Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data.
Marcin Blachnik, Piotr Sciegienka, Daniel Dabrowski
2023Rapid and Low-Cost Evaluation of Multi-fidelity Scheduling Algorithms for Hyperparameter Optimization.
Aakash Mishra, Jeremy Hsu, Frank D'Agostino, Utku Sirin, Stratos Idreos
2023Recent Applications of Pre-aggregation Functions.
Giancarlo Lucca, Cédric Marco-Detchart, Graçaliz Pereira Dimuro, Jaime Andres Rincon, Vicente Julián
2023Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model.
Songlin Yan, Xiujiao Chen, Xiaoying Tang, Xuebing Chi
2023Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery.
Bashini K. Mahaarachchi, Sarel Cohen, Bodo Bookhagen, Vanja Doskoc, Tobias Friedrich
2023The Applicability of Federated Learning to Official Statistics.
Joshua Stock, Oliver Hauke, Julius Weißmann, Hannes Federrath
2023Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts.
Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho
2023Uniform Design of Experiments for Equality Constraints.
Fabian Schneider, Ralph J. Hellmig, Oliver Nelles
2023Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning.
Moncef Garouani, Mourad Bouneffa
2023Unsupervised Defect Detection for Infrastructure Inspection.
Natalia P. García-de-la-Puente, Rocío del Amor, Fernando García-Torres, Adrián Colomer, Valery Naranjo
2023Unsupervised Online Event Ranking for IT Operations.
Tiago Costa Mendes, André Azevedo Barata, Miguel Pereira, João Mendes-Moreira, Rui Camacho, Ricardo Teixeira Sousa
2023Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant.
João Pereira, Pedro Oliveira, M. Salomé Duarte, Gilberto Martins, Paulo Novais