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Publication search results
found 56 matches
- 2023
- Khaled Abdelaal, Richard Veras:
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure. IWANN (1) 2023: 149-161 - Iván García Aguilar, Lipika Deka, Rafael Marcos Luque Baena, Enrique Domínguez, Ezequiel López-Rubio:
Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks. IWANN (1) 2023: 276-287 - Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok:
Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. IWANN (1) 2023: 614-625 - Nabit A. Bajwa, Kedar Bajwa, Muhammad Faique Shakeel, Atif Rana, Kashif Haqqi, Suleiman Ali Khan:
A Generalized Deep Learning Model for Multi-disease Chest X-Ray Diagnostics. IWANN (1) 2023: 541-552 - Oresti Banos, David Gil, Javier Medina, Adrian Sanchez, Claudia Villalonga:
A Deep Transfer Learning Approach to Support Opportunistic Wearable Activity Recognition. IWANN (1) 2023: 473-482 - Miguel Jose Esteve Brotons, Jorge Carmona Blanco, Francisco Javier Lucendo, José García Rodríguez:
Shot Boundary Detection with Augmented Annotations. IWANN (1) 2023: 234-250 - Miguel Jose Esteve Brotons, Jorge Carmona Blanco, Francisco Javier Lucendo, José García Rodríguez:
Video Scene Segmentation Based on Triplet Loss Ranking. IWANN (1) 2023: 302-315 - Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez:
Time Series Forecasting with Quantum Neural Networks. IWANN (1) 2023: 666-677 - David Díaz-Jiménez, José Luis López Ruiz, Alicia Montoro-Lendínez, Jesús González Lama, Macarena Espinilla Estévez:
Advanced Home-Based Diabetes Monitoring System: Initial Real-World Experiences. IWANN (1) 2023: 353-364 - Grzegorz Dudek:
Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality. IWANN (1) 2023: 690-702 - Mohamed El-Khatib, Oana Mihaela Teodor, Dan Popescu, Loretta Ichim:
Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation. IWANN (1) 2023: 529-540 - Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas:
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. IWANN (1) 2023: 505-516 - Marcos Faúndez-Zanuy, Moisés Díaz:
On the Use of First and Second Derivative Approximations for Biometric Online Signature Recognition. IWANN (1) 2023: 461-472 - Michele Foggetti, Silvia Tolu:
Bioinspired Reinforcement Learning Control for a Biomimetic Artificial Muscle Pair. IWANN (1) 2023: 494-504 - Thiago Henrique Lemos Fonseca, Silvia Modesto Nassar, Alexandre César Muniz de Oliveira, Bruno Agard:
Low-Dimensional Space Modeling-Based Differential Evolution: A Scalability Perspective on bbob-largescale suite. IWANN (1) 2023: 16-28 - Danilo Franco, Luca Oneto, Davide Anguita:
Fair Empirical Risk Minimization Revised. IWANN (1) 2023: 29-42 - Antonio Mora García, Maribel García Arenas, A. Romero-Horno, José Camacho-Páez, Pedro A. Castillo:
Optimizing an IDS (Intrusion Detection System) by Means of Advanced Metaheuristics. IWANN (1) 2023: 55-67 - Nahuel Emiliano Garcia-D'Urso, Pablo Ramon Guevara, Jorge Azorín López, Andrés Fuster Guilló:
3D Human Body Models: Parametric and Generative Methods Review. IWANN (1) 2023: 251-262 - Juan Carlos Gómez-López, Daniel Castillo-Secilla, Jesús González, Luis Javier Herrera, Ignacio Rojas:
Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure. IWANN (1) 2023: 553-562 - Juan Carlos Gómez-López, Daniel Castillo-Secilla, Dragi Kimovski, Jesús González:
Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification. IWANN (1) 2023: 80-91 - Rahmat Izwan Heroza, John Q. Gan, Haider Raza:
SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network. IWANN (1) 2023: 448-460 - Naohiro Ishii, Kazunori Iwata, Yuji Iwahori, Tokuro Matsuo:
Comparison of Fourier Bases and Asymmetric Network Bases in the Bio-Inspired Networks. IWANN (1) 2023: 200-210 - Christina Klüver, Jürgen Klüver:
Classification of Subjectively Evaluated Images with Self-Enforcing Networks Using Reference Types, and a Cue Validity Factor. IWANN (1) 2023: 340-352 - Shamini Koravuna, Sanaullah, Thorsten Jungeblut, Ulrich Rückert:
Digit Recognition Using Spiking Neural Networks on FPGA. IWANN (1) 2023: 406-417 - Marius Kortekamp, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert:
A Scalable Binary Neural Associative Memory on FPGA. IWANN (1) 2023: 381-393 - Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella:
A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. IWANN (1) 2023: 517-528 - Or Man, Miri Weiss-Cohen:
Denoising Low-Dose CT Images Using Noise2Noise and Evaluation of Hyperparameters. IWANN (1) 2023: 433-447 - Iva Matetic, Ivan Stajduhar, Igor Wolf, Darko Palaic, Sandi Ljubic:
Random Forests Model for HVAC System Fault Detection in Hotel Buildings. IWANN (1) 2023: 654-665 - Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov:
Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) 2023: 288-301 - Artem Oborevich, Ilya Makarov:
Iterative Graph Embedding and Clustering. IWANN (1) 2023: 68-79
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