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Publication search results
found 739 matches
- 2023
- Michele La Rocca, Cira Perna:
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. EANN 2023: 532-547 - Marina Aguilar-Moreno, Manuel Graña:
Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods. EANN 2023: 17-27 - Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva:
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. EANN 2023: 505-519 - Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez:
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. EANN 2023: 239-250 - Mai Alzamel, Seba Alhejaili, Fatimah Alhumaidhi, Joud Alismail, Lama Almubarak, Halah Altammami, Costas S. Iliopoulos, Zara Lim:
Advanced Skin Cancer Detection Using Deep Learning. EANN 2023: 267-278 - Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas:
Residual Error Learning for Electricity Demand Forecasting. EANN 2023: 391-402 - Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov, Stefanos Spartalis:
Optimal Traffic Flow Distributions on Dynamic Networks. EANN 2023: 178-190 - Leon Bobrowski:
Balancing High-Dimensional Datasets with Complex Layers. EANN 2023: 62-70 - Lisa Brand, Bernhard G. Humm, Andrea Krajewski, Alexander Zender:
Towards Improved User Experience for Artificial Intelligence Systems. EANN 2023: 33-44 - Thiago M. Carvalho, Marley M. B. R. Vellasco, José Franco Machado do Amaral:
Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning. EANN 2023: 303-314 - Kai Yuan Chia, Cheng Siong Chin, Simon See:
Deep Transfer Learning Application for Intelligent Marine Debris Detection. EANN 2023: 479-490 - Lakshmi Alekya Chittem, Doina Logofatu, Sheikh Sharfuddin Mim:
Performance Analysis of Digit Recognizer Using Various Machine Learning Algorithms. EANN 2023: 340-351 - Pedro Gonçalo Correia, Henrique Lopes Cardoso:
Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks. EANN 2023: 558-569 - Konstantinos Demertzis, Lazaros S. Iliadis:
An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. EANN 2023: 461-478 - Arunav Dey, Jigya Singh, Manaswini Rathore, Roshni Govind, Vandana M. Ladwani:
Discrimination of Attention Deficit Hyperactivity Disorder Using Capsule Networks and LSTM Networks on fMRI Data. EANN 2023: 291-302 - Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva:
Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. EANN 2023: 599-606 - Raúl González-Herbón, Guzmán González-Mateos, Serafín Alonso, Miguel A. Prada, Juan José Fuertes, Antonio Morán, Manuel Domínguez:
Virtual Flow Meter for an Industrial Process. EANN 2023: 433-444 - Irene Guardiola Luna, Leticia Monasterio Expósito, Javier Macías Guarasa, Álvaro Nieva Suárez, Marina Murillo-Teruel, José Luis Martín Sánchez, Sira Elena Palazuelos-Cagigas:
Towards Automatic Assessment of Quiet Standing Balance During the Execution of ADLs. EANN 2023: 352-363 - Naohiro Ishii, Kazunori Iwata, Tokuro Matsuo:
Generation of Bases for Classification in the Bio-inspired Layered Networks. EANN 2023: 110-120 - Ishfaq Ahmad Jadoon, Doina Logofatu, Mohammad Nahin Islam:
Classification of Time Signals Using Machine Learning Techniques. EANN 2023: 85-96 - Antonios Kalampakas, Armen Bagdasaryan, Mansoor Saburov, Stefanos Spartalis:
User Equilibrium and System Optimality Conditions for Flow Distributions on Congested Networks. EANN 2023: 203-214 - Ioannis Karampinis, Lazaros Iliadis:
A Machine Learning Approach for Seismic Vulnerability Ranking. EANN 2023: 3-16 - Muhammad Faizan Khan, Gul Muhammad Khan:
Load-Shedding Management in a Smart Grid Architecture Through Smart Metering. EANN 2023: 121-130 - Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou:
DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics. EANN 2023: 379-390 - Ignacio D. Lopez-Miguel, Borja Fernández Adiego, Faiq Ghawash, Enrique Blanco Viñuela:
Verification of Neural Networks Meets PLC Code: An LHC Cooling Tower Control System at CERN. EANN 2023: 420-432 - Mario Malcangi, Giovanni Felisati, Alberto M. Saibene, Enrico Alfonsi, Mauro Fresia, Pasquale Cambiaghi:
Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm. EANN 2023: 28-32 - Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN 2023: 47-61 - Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. EANN 2023: 227-238 - Alessandro Melino-Carrero, Álvaro Nieva Suárez, Cristina Losada-Gutiérrez, Marta Marrón Romera, Irene Guardiola Luna, Javier Baeza-Mas:
Object Detection for Functional Assessment Applications. EANN 2023: 328-339 - Hadi Al-Mubasher, Ziad Doughan, Layth Sliman, Ali M. Haidar:
A Novel Neural Network-Based Recommender System for Drug Recommendation. EANN 2023: 573-584
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