Search Results - autoencoder

Clustering-Based Identification of Energy Retrofitting Strategies in Italian Buildings: Integrating Weather Data, Spatial Data and Autoencoder-Enhanced Models

Authors: Barros, Diogo Novo de Santos, Vítor Manuel Pereira Duarte dos Anastasiadou, Maria et al.

Contributors: Barros, Diogo Novo de Santos, Vítor Manuel Pereira Duarte dos Anastasiadou, Maria et al.

Subject Terms: Energy Retrofit, Energy Performance, Artificial Intelligence, Machine Learning, Autoencoders, GIS, Spatial Factors, Certification, Buildings, SDG 7 - Affordable and clean energy, SDG 9 - Industry, innovation and infrastructure, SDG 11 - Sustainable cities and communities, SDG 13 - Climate action, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/190838

Exploring Semi-Supervised Autoencoders: An Approach to Classify Psychotic Disorders through Proteomic Imbalanced Data

Explorando Autoencoders Semi-Supervisionados: Uma Abordagem para Classificar Distúrbios Psicóticos através de Dados Proteómicos não Balenceados

Authors: Ribeiro, Mariana Montenegro

Subject Terms: Psychotic Disorders, Semi-supervised Autoencoder, Deep Learning, Proteomic Data, Mass Spectrometry, Perturbações Psicóticas, Autoencoder Semi-supervisionado, Dados Proteómicos, Espectrometria de Massa

Availability: https://hdl.handle.net/10316/117998

Conditioned fully convolutional denoising autoencoder for multi-target NILM

Authors: García, Diego Pérez, Daniel Papapetrou, Panagiotis et al.

Source: Neural Computing & Applications. 37(17):10491-10505

Subject Terms: Non-intrusive Load Monitoring, Energy Efficiency, Deep Convolutional Neural Networks, Interpretability, Multi-target NILM models, data- och systemvetenskap, Computer and Systems Sciences

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-237967
https://doi.org/10.1007/s00521-024-10552-0

Automatic Design of Autoencoders using NeuroEvolution

Desenho Automático de AutoEncoders usando NeuroEvolução

Authors: Almeida, Alexy Damien Tomé Julien Denis de

Subject Terms: F-DENSER, AutoEncoder, NeuroEvolution, Denoising, Image Reconstruction, NeuroEvolução, Eliminação de Ruído, Reconstrução de Imagem

Availability: https://hdl.handle.net/10316/116355

Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders

Authors: Babaey, Vahid Faragardi, Hamid Reza

Source: Computers. 14(6)

Subject Terms: autoencoder, ensemble classification, GRU, LSTM, neural networks, stacked, tokenization, zero-day attacks

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368654
https://doi.org/10.3390/computers14060205

Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection

Authors: Niaz, Asim Ul Amin, Sareer Soomro, Shafiullah et al.

Source: IEEE Access. 12:104770-104784

Subject Terms: Videos, Anomaly detection, Surveillance, Feature extraction, Predictive models, Pedestrians, Optical flow, autoencoders, computer vision, intelligent surveillance systems, three-dimensional convolutional neural network (3DCNN), video-based abnormal event detection, Computer Science, Datavetenskap

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-132046
https://doi.org/10.1109/ACCESS.2024.3435144

Autoencoders: application to forecasting

Authors: Alves, Jorge Miguel Mendes

Subject Terms: Automodeladores, Modelos de previsão

File Description: application/pdf

Availability: http://hdl.handle.net/10216/59109

Enhanced Adaptive Autoencoder Framework for Continuous Monitoring and Fault Management in Industrial Sensors

Authors: Lincoln Moura de Oliveira Menaouar Berrehil El Kattel Demercil de Souza Oliveira et al.

Source: Oliveira, L M D, Kattel, M B E, Oliveira, D D S, Vasquez, J C, Guerrero, J M & Antunes, F L M 2025, 'Enhanced Adaptive Autoencoder Framework for Continuous Monitoring and Fault Management in Industrial Sensors', IEEE Sensors Journal, vol. 25, no. 13, pp. 25682-25692. https://doi.org/10.1109/JSEN.2025.3565982

Subject Terms: autoencoder (AE), sensor fault diagnosis and isolation, Autoencoder (AE), Industrial process monitoring, industrial process monitoring, name=SDG 11 - Sustainable Cities and Communities

A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data

Authors: Pei Xue Tianshun Li

Source: Journal of Economy and Technology, Vol 4, Iss, Pp 9-19 (2026)

Subject Terms: High-dimensional data, Socioeconomic forecasting, Economics as a science, Electronic computers. Computer science, Supervised variational autoencoder, Social Sciences, QA75.5-76.95, Dimensionality reduction, HB71-74, Nonlinear representation learning, Predictive modeling

Access URL: https://doaj.org/article/38a6a8d09a8045ceaf6f58f757d3bf5e

Context-Dependent Manifold Learning in Dynamical Systems: A Neuromodulated Constrained Autoencoder Approach

Authors: Adriaens, Jérôme Drion, Guillaume Sacré, Pierre

Source: Symmetry and Geometry in Neural Representations workshop, NeurIPS 2025, San Diego, United States - California [US-CA], Tuesday Dec 2nd through Sunday Dec 7th

Subject Terms: Nonlinear dimensionality reduction, Neuromodulation, Context-dependent learning, Constrained autoencoder, Engineering, computing & technology, Ingénierie, informatique & technologie

Access URL: https://orbi.uliege.be/handle/2268/336469

Model-Free Multiphase AC Signals Downscaling Method Using Orthogonal Phase-Lock Autoencoder and Circular Harmonic Decomposition

Authors: Xing Qi Tingting Qiu Lassi Aarniovuori et al.

Contributors: Xing Qi Tingting Qiu Lassi Aarniovuori et al.

Source: IEEE Transactions on Industrial Electronics. 72:6573-6582

Subject Terms: Standards, circular harmonic function decomposition, Permanent magnets, signal downscaling, Autoencoder, Vectors, Transforms, multiphase systems, Harmonic analysis, Induction motors, model-free, Rotors, Power system harmonics, Feature extraction, Gold

File Description: fulltext

Access URL: https://lutpub.lut.fi/handle/10024/168838

Uncertainty-Aware Data Reconstruction in Autoencoders

Authors: Carratu' M. Gallo V. Laino V. et al.

Source: 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). :1-6

Subject Terms: Autoencoder, DNN, ISO-GUM, Law of Propagation of Uncertainty, Uncertainty, VAE

MEGA: Masked Generative Autoencoder for Human Mesh Recovery

Authors: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Contributors: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Source: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :5366-5378

Subject Terms: FOS: Computer and information sciences, masked autoencoder, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Human mesh recovery, masked generative modeling, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2405.18839
https://hal.science/hal-04980723v1

Generating Synthetic EEG Data for Psychiatric Disorders with Variational Autoencoders

Authors: Çınar, Burcu OpenMETU

Contributors: Çınar, Burcu OpenMETU

Source: 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). :1-9

Subject Terms: synthetic data generation, psychiatric disorders, generative modelling, electroencephalography (EEG), variational autoencoders (VAEs)

Access URL: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105008417099&origin=inward
https://hdl.handle.net/11511/115370

AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder

Authors: Sadok, Samir Leglaive, Simon Girin, Laurent et al.

Contributors: Sadok, Samir Leglaive, Simon Girin, Laurent et al.

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Subject Terms: Pitch estimation and modification, FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), Masked autoencoder, Speech enhancement, FOS: Electrical engineering, electronic engineering, information engineering, Speech analysis/transformation/synthesis, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

File Description: application/pdf

Access URL: http://arxiv.org/abs/2501.05332
https://hal.science/hal-04891286v1

On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction

Authors: Ida Egendal Rasmus Froberg Brøndum Marta Pelizzola et al.

Source: Egendal, I, Brøndum, R F, Pelizzola, M, Hobolth, A & Bøgsted, M 2025, 'On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction', Journal of Computational Biology, vol. 32, no. 5, pp. 461-472. https://doi.org/10.1089/cmb.2024.0784
Egendal, I, Brøndum, R F, Pelizzola, M, Hobolth, A & Bøgsted, M 2025, 'On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction', Journal of computational biology : a journal of computational molecular cell biology, vol. 32, no. 5, pp. 461-472. https://doi.org/10.1089/cmb.2024.0784

Subject Terms: non-negative matrix factorization, convex non-negative matrix factorization, mutational signatures, non-negative autoencoders

Access URL: https://pubmed.ncbi.nlm.nih.gov/40113251

Enhancing Weather Monitoring for Agriculture with Deep Learning: Anomaly Detection in East Java Using LSTM Autoencoder and OCSVM

Authors: Maulana Ahsan Fadillah Yenni Angraini Rahma Anisa

Source: JOIN: Jurnal Online Informatika, Vol 10, Iss 1, Pp 227-238 (2025)

Subject Terms: ocsvm, weather, Electronic computers. Computer science, QA75.5-76.95, lstm autoencoder, lstm, anomaly detection

Access URL: https://doaj.org/article/40bb9600e82a47f0a6decd94607ceb8a

Analisis Cluster untuk Pengelompokan Kemampuan Penguasaan ICT Menggunakan K-Means dan Autoencoder

Authors: Daru Prasetyawan Rahmadhan Gatra

Source: JISKA (Jurnal Informatika Sunan Kalijaga), Vol 10, Iss 2 (2025)

Subject Terms: Davies-Bouldin Index, ICT, K-Means, Autoencoder, Information technology, T58.5-58.64, Clustering, Silhoutte

Access URL: https://doaj.org/article/fe969d32fdef407bbb312a87276cc52e

Deep Learning-Based Video Anomaly Detection Using Optimised Attention-Enhanced Autoencoders

Authors: Anjali, S. Don, S.

Source: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 24, Iss 1 (2025)

Subject Terms: TK7885-7895, Computer engineering. Computer hardware, Optimal threshold detection, Electronic computers. Computer science, Video surveillance, Computer Vision, Autoencoder, Deep learning, Computer vision, QA75.5-76.95

File Description: application/pdf

Access URL: https://doaj.org/article/d35dfc29dc54403ead135789f320ee6b
https://ddd.uab.cat/record/311974

Detection of Buried Landmines using a Convolutional Autoencoder trained on Simulated prompt Gamma Spectra

Authors: Konstantinos KARAFASOULIS

Source: Bulletin of "Carol I" National Defense University, Vol 14, Iss 2 (2025)

Subject Terms: Neutron Activation, Gamma Radiation, Landmine Detection, Military Science, Artificial Intelligence, Anomaly Detection, Autoencoders, International relations, JZ2-6530

Access URL: https://doaj.org/article/88b87bc7ab854f759c7e1f0098baf8ec