Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIWANN 2023, Ponta Delgada, Portugal - Part I
- Ignacio Rojas
, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14134, Springer 2023, ISBN 978-3-031-43084-8
Advanced Topics in Computational Intelligence
- Jirí Síma, Jérémie Cabessa:
Energy Complexity of Fully-Connected Layers. 3-15 - 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. 16-28 - Danilo Franco, Luca Oneto, Davide Anguita:
Fair Empirical Risk Minimization Revised. 29-42 - Werner G. Teich, Weikun Pan:
Scalable Convolutional Neural Networks for Decoding of Terminated Convolutional Codes. 43-54 - 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. 55-67 - Artem Oborevich, Ilya Makarov:
Iterative Graph Embedding and Clustering. 68-79 - 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. 80-91 - Markus Vieth, Alexander Schulz, Barbara Hammer:
Extending Drift Detection Methods to Identify When Exactly the Change Happened. 92-104 - Yan Zhou, Zhennan Du, Dongli Wang:
Pedestrian Multi-object Tracking Algorithm Based on Attention Feature Fusion. 105-118 - Janine Strotherm, Barbara Hammer:
Fairness-Enhancing Ensemble Classification in Water Distribution Networks. 119-133 - Sarah Schröder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer:
Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. 134-145
Advances in Artificial Neural Networks
- Khaled Abdelaal, Richard Veras:
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure. 149-161 - Mohamad Al Sayed, Adrian M. P. Brasoveanu, Lyndon J. B. Nixon, Arno Scharl:
Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification. 162-174 - David Rohrschneider, Nermeen Abou Baker, Uwe Handmann:
Double Transfer Learning to Detect Lithium-Ion Batteries on X-Ray Images. 175-188 - Yuhua Wang, Yuhao Lian:
MLFEN: Multi-scale Long-Distance Feature Extraction Network. 189-199 - Naohiro Ishii, Kazunori Iwata, Yuji Iwahori, Tokuro Matsuo:
Comparison of Fourier Bases and Asymmetric Network Bases in the Bio-Inspired Networks. 200-210 - Rafael Silva, Lourenço Abrunhosa Rodrigues, André Lourenço, Hugo Plácido da Silva:
Temporal Dynamics of Drowsiness Detection Using LSTM-Based Models. 211-220 - Francisco López de la Rosa, José L. Gómez-Sirvent, Lidia M. Belmonte, Rafael Morales, Antonio Fernández-Caballero:
Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel. 221-233 - Miguel Jose Esteve Brotons, Jorge Carmona Blanco, Francisco Javier Lucendo, José García Rodríguez:
Shot Boundary Detection with Augmented Annotations. 234-250 - Nahuel Emiliano Garcia-D'Urso, Pablo Ramon Guevara, Jorge Azorín López, Andrés Fuster Guilló:
3D Human Body Models: Parametric and Generative Methods Review. 251-262 - Michal Parzyszek, Stanislaw Osowski:
Deep Learning Recommendation System for Stock Market Investments. 263-275 - 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. 276-287 - Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov:
Long-Term Hail Risk Assessment with Deep Neural Networks. 288-301 - Miguel Jose Esteve Brotons, Jorge Carmona Blanco, Francisco Javier Lucendo, José García Rodríguez:
Video Scene Segmentation Based on Triplet Loss Ranking. 302-315 - ZhenHua Wu, Liangyu Chen, YuanTao Song:
A Model for Classifying Emergency Events Based on Social Media Multimodal Data. 316-327 - Dmitrij Teterja, José García Rodríguez, Jorge Azorín López, Esther Sebastian-Gonzalez, Srdjan Krco, Dejan Drajic, Dejan Vukobratovic:
A Performance Evaluation of Lightweight Deep Learning Approaches for Bird Recognition. 328-339 - Christina Klüver, Jürgen Klüver:
Classification of Subjectively Evaluated Images with Self-Enforcing Networks Using Reference Types, and a Cue Validity Factor. 340-352 - 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. 353-364 - Luis Manuel Pereira, Addisson Salazar, Luis Vergara:
On Comparing Early and Late Fusion Methods. 365-378
ANN HW-Accelerators
- Marius Kortekamp, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert:
A Scalable Binary Neural Associative Memory on FPGA. 381-393 - Marc Rothmann, Mario Porrmann:
STANN - Synthesis Templates for Artificial Neural Network Inference and Training. 394-405 - Shamini Koravuna, Sanaullah, Thorsten Jungeblut, Ulrich Rückert:
Digit Recognition Using Spiking Neural Networks on FPGA. 406-417
Applications of Machine Learning in Biomedicine and Healthcare
- Miri Weiss-Cohen:
Brain Tumor Segmentation Using Ensemble Deep Neural Networks with MRI Images. 421-432 - Or Man, Miri Weiss-Cohen:
Denoising Low-Dose CT Images Using Noise2Noise and Evaluation of Hyperparameters. 433-447 - 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. 448-460 - Marcos Faúndez-Zanuy, Moisés Díaz:
On the Use of First and Second Derivative Approximations for Biometric Online Signature Recognition. 461-472 - Oresti Banos, David Gil, Javier Medina, Adrian Sanchez, Claudia Villalonga:
A Deep Transfer Learning Approach to Support Opportunistic Wearable Activity Recognition. 473-482 - Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Cezary Chudobinski:
Random Ensemble of Extended CNN Structures for Medical Image Recognition. 483-493 - Michele Foggetti, Silvia Tolu:
Bioinspired Reinforcement Learning Control for a Biomimetic Artificial Muscle Pair. 494-504 - 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. 505-516 - Francesco Di Luzio, Alessandro Paiardini, Federica Colonnese, Antonello Rosato, Massimo Panella:
A Deep Neural Network for G-Quadruplexes Binding Proteins Classification. 517-528 - Mohamed El-Khatib, Oana Mihaela Teodor, Dan Popescu, Loretta Ichim:
Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation. 529-540 - 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. 541-552 - 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. 553-562 - Ciro Rodriguez-Leon, Oresti Banos, Oscar Fernandez Mora, Alex Martinez Bedmar, Fernando Rufo Jimenez, Claudia Villalonga:
Prediction of Blood Glucose Levels in Patients with Type 1 Diabetes via LSTM Neural Networks. 563-573
Applications of Machine Learning in Time Series Analysis
- Gonzalo Surribas Sayago, Jose David Fernández Rodriguez, Enrique Domínguez:
Photovoltaic Energy Prediction Using Machine Learning Techniques. 577-587 - Carlos M. Travieso-González, Alejandro Pinan-Roescher:
Analysis of the Effect of the Time Interval Between Samples on the Solar Forecasting. 588-600 - Aiden Rushbrooke, Jordan Tsigarides, Saber Sami, Anthony J. Bagnall:
Time Series Classification of Electroencephalography Data. 601-613 - 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. 614-625 - A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora:
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals. 626-637 - Carlos M. Travieso-González, Alejandro Pinan-Roescher:
Deep Learning for the Analysis of Solar Radiation Prediction with Different Time Horizons and Data Acquisition Frequencies. 638-653 - Iva Matetic, Ivan Stajduhar, Igor Wolf, Darko Palaic, Sandi Ljubic:
Random Forests Model for HVAC System Fault Detection in Hotel Buildings. 654-665 - Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez:
Time Series Forecasting with Quantum Neural Networks. 666-677 - Ladislav Zjavka, Václav Snásel:
Intra- and All-Day PV Power Forecasting Using Expansion PDE Models Composed of the L-Transform Components in Nodes of Step-by-Step Evolved Polynomial Binary-Nets. 678-689 - Grzegorz Dudek:
Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality. 690-702
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-05-14 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
