Search Results - "multi-task learning"

Confounding factors-aware hierarchical deep learning for sustainable edge wildfire detection

Authors: El Madafri, Ismail

Contributors: University/Department: Universitat Politècnica de Catalunya. Institut Universitari de Recerca en Ciència i Tecnologies de la Sostenibilitat

Thesis Advisors: Peña Carrera, Marta, Olmedo Torre, Noelia

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: wildfire detection, deep learning, confounding elements, multi-task learning, knowledge distillation, hierarchical learning, domain adaptation, edge devices, sustainable AI, environmental monitoring., detecció d'incendis forestals, aprenentatge profund, elements confusos, aprenentatge multitarea, destil·lació de coneixement, aprenentatge jeràrquic, adaptació al domini, dispositius edge, IA sostenible, monitoratge ambiental, detección de incendios forestales, aprendizaje profundo, elementos confusos, aprendizaje multitarea, destilación de conocimiento, aprendizaje jerárquico, adaptación al dominio, dispositivos edge, monitoreo ambiental., Àrees temàtiques de la UPC::Desenvolupament humà i sostenible, 502 - Natura. Estudi, conservació i protecció de la natura, 630 - Silvicultura. Arboricultura

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695130
https://dx.doi.org/10.5821/dissertation-2117-440594

Multi-task convolution neural network-based lifting scheme for image compression

Authors: Dardouri, Tassnim Kaaniche, Mounir Benazza-Benyahia, Amel et al.

Contributors: Dardouri, Tassnim Kaaniche, Mounir Benazza-Benyahia, Amel et al.

Source: Pattern Recognition Letters. 195:66-72

Subject Terms: [SPI]Engineering Sciences [physics], Wavelet transforms, [SPI] Engineering Sciences [physics], multi-task learning, adaptive lifting, neural networks, Wavelet transforms adaptive lifting neural networks multi-task learning optimization, optimization

File Description: application/pdf

Access URL: https://hal.science/hal-04464338v2

Securing IoT: unveiling attacks with multiview-multitask learning

Authors: Clinton, Urkhimbam Boby Hoque, Nazrul Raza, Shahid et al.

Source: IEEE Transactions on Artificial Intelligence.

Subject Terms: AutoEncoder, IoT, LSTM, Multi-task learning, Multi-view learning, Network traffic

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-245603
https://doi.org/10.1109/TAI.2025.3615565

DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery

Authors: Hafner, Sebastian Gerard, Sebastian Sullivan, Josephine, Prof. et al.

Source: International Journal of Applied Earth Observation and Geoinformation. 143

Subject Terms: Deep learning, Earth observation, Model conditioning, Multi-task learning

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369922
https://doi.org/10.1016/j.jag.2025.104756

Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach

Authors: Ko, Haneul Seo, Sangwon Pack, Sangheon

Source: IEEE Access.

Subject Terms: deep deterministic policy gradient, inference, multi-task learning, reinforcement learning, Split computing

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-366573
https://doi.org/10.1109/ACCESS.2025.3578009

A multi-task network approach for calculating discrimination-free insurance prices

Authors: Lindholm, Mathias Richman, Ronald Tsanakas, Andreas et al.

Source: European Actuarial Journal. 14:329-369

Subject Terms: Indirect discrimination, Proxy discrimination, Discrimination-free insurance pricing, Unawareness price, Best-estimate price, Protected information, Discriminatory covariates, Fairness, Incomplete information, Multi-task learning, Multi-output network

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-224229
https://doi.org/10.1007/s13385-023-00367-z

A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization

Authors: Dinh, Canh T. Vu, Thanh Tung Tran, Nguyen H. et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 35(6):8075-8085

Subject Terms: Federated learning (FL), federated multi-task learning (FMTL), Laplacian regularization, personalized learning

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-190795
https://liu.diva-portal.org/smash/get/diva2:1723306/FULLTEXT01.pdf

SegMorph: Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences: Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences

Authors: Ning, Bi Arezoo, Zakeri Yan, Xia et al.

Source: Bi, N, Zakeri, A, Xia, Y, Cheng, N, Taylor, Z A, Frangi, A F & Gooya, A 2025, 'SegMorph : Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences', IEEE transactions on medical imaging, vol. PP. https://doi.org/10.1109/TMI.2024.3435000

Subject Terms: motion estimation, Image segmentation, Biomedical imaging, Multi-task learning, Spatiotemporal phenomena, Bayesian inference, Task analysis, segmentation, recurrent variational modelling, Motion segmentation, Motion estimation, Probabilistic logic

Access URL: https://pubmed.ncbi.nlm.nih.gov/39102320
https://research.manchester.ac.uk/en/publications/6d0347bf-c009-4e91-b7d8-ebf1a9b1f7a2
https://doi.org/10.1109/TMI.2024.3435000
http://www.scopus.com/inward/record.url?scp=85200811921&partnerID=8YFLogxK
https://eprints.gla.ac.uk/332276/
https://research.manchester.ac.uk/en/publications/6d0347bf-c009-4e91-b7d8-ebf1a9b1f7a2
https://doi.org/10.1109/TMI.2024.3435000

A Multi-Task Learning Approach for News Classification and Number of Reader Prediction

Authors: Freecenta, Helna Fatichah, Chastine

Source: Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi; Vol. 10 No. 2 (2025): In Press: July, 2025; 97-102

Subject Terms: Prediction News, Classification News, Multi-Task Learning, CNN

File Description: application/pdf

Access URL: https://ejournal.unitomo.ac.id/index.php/inform/article/view/9549

To Write or Not to Write as a Machine? That’s the Question

Authors: Robiert Sepúlveda-Torres Iván Martínez-Murillo Estela Saquete et al.

Contributors: Robiert Sepúlveda-Torres Iván Martínez-Murillo Estela Saquete et al.

Source: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Subject Terms: Large Language Models, Multilingual, Multi-task Learning, Natural Language Processing, AI-Generated Content

Access URL: http://hdl.handle.net/10045/151504

DSPCI-MTL: Dynamic split point computing in multi-task learning implementation with collaborative intelligence

Authors: M.Faruk Sahin S. Faegheh Yeganli Farzad Kiani

Source: Alexandria Engineering Journal, Vol 124, Iss, Pp 404-421 (2025)

Subject Terms: IoT, Data reconstruction, Collaborative intelligence, Multi-task learning, Auto encoder, Deep neural network, TA1-2040, Engineering (General). Civil engineering (General)

Access URL: https://doaj.org/article/71fa56eaaca44aab98753ad7c69d0376

Multi-Task Learning for Forward Prediction of Dispersion Diagrams in 2D Acoustic Metamaterials

Authors: Mishra, Sourava Prasad Kudela, Pawel

Source: 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI). :1-5

Subject Terms: metamaterials, Multi-task learning, transfer learning, phononic crystals

Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation

Authors: Stolle, K.H.W.

Source: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). :3301-3309

Subject Terms: transformer networks, SDG 3 - Good Health and Well-being, segmentation, Computer Science - Computer Vision and Pattern Recognition, multi-task learning, monocular depth estimation, scene understanding, SDG 3 – Goede gezondheid en welzijn, computer vision, object tracking

Access URL: http://arxiv.org/abs/2412.07966
https://research.tue.nl/en/publications/2ab13614-b549-4a4a-bb24-9052f75e4241
https://doi.org/10.1109/WACV61041.2025.00326

A MULTI-TASK NEURAL NETWORK FOR SIMULTANEOUS REGRESSION AND CLASSIFICATION OF REGIONAL SECURITY AND QUALITY OF LIFE INDICES IN UKRAINE

Source: Advanced Information Systems; Vol. 9 No. 4 (2025): Advanced Information Systems; 89-99
Современные информационные системы-Sučasnì ìnformacìjnì sistemi; Том 9 № 4 (2025): Сучасні інформаційні системи; 89-99
Сучасні інформаційні системи; Том 9 № 4 (2025): Сучасні інформаційні системи; 89-99

Subject Terms: якість життя, територіальні громади, cybersecurity, предиктивне моделювання, багатозадачне навчання, multi-task learning, deep learning, глибоке навчання, regional security, регіональна безпека, quality of life, territorial communities, predictive modelling, кібербезпека

File Description: application/pdf

Access URL: http://ais.khpi.edu.ua/article/view/340697

A boundary enhanced multi-task neural attention approach for Chinese named entity recognition

Authors: Jun Pan Mingcheng Xiao Mengpei Li et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Subject Terms: Multi-task learning, Convolutional attention network, Encoder-decoder, Chinese named entity recognition, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/0bbf9a09c47449a7aa22d0e5d215aa49

Uncertainty weighted multi task learning for robust traffic scene semantic understanding

Authors: Zhiping Wan Shitong Ye Feng Wang et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Subject Terms: Uncertainty weighting, Multi-task learning, BEV representation, Mixture of experts transformer, Semantic understanding of traffic scenes, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/6cdbd8846dd54232a80391979331d877

Multi-task learning for estimation of remote PPG and respiration signals with complex valued convolutional neural network

Authors: Junghwan Lee YuSang Nam Jihwan Won et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Subject Terms: Complex-valued neural network, Multi-task Learning, Remote photoplethysmography, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/c7ccc76f43b74e918a39de3a7371c553

Enhancing multi-task in vivo toxicity prediction via integrated knowledge transfer of chemical knowledge and in vitro toxicity information

Authors: Minsu Park Yewon Shin Hyunho Kim et al.

Source: Journal of Cheminformatics, Vol 17, Iss 1, Pp 1-15 (2025)

Subject Terms: Graph neural networks, Transfer learning, Multi-task learning, In vivo toxicity, Information technology, T58.5-58.64, Chemistry, QD1-999

File Description: electronic resource

Relation: https://doaj.org/toc/1758-2946

Access URL: https://doaj.org/article/478fe2634f46436689843ebf951ac076

Multi-source heterogeneous data fusion and intelligent prediction modeling for chemical engineering construction projects based on improved transformer architecture

Authors: Dongfeng Xin

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Subject Terms: Transformer architecture, Heterogeneous data fusion, Chemical engineering construction, Multi-scale attention mechanism, Intelligent prediction modeling, Multi-task learning, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/d1e318355f664054907a7272db6a6b77

AS-SOMTF: A novel multi-task learning model for water level prediction by satellite remoting

Authors: Xin Su Zijian Qin Weikang Feng et al.

Source: Digital Communications and Networks, Vol 11, Iss 5, Pp 1554-1566 (2025)

Subject Terms: Fish passages, Water-level prediction, Time series forecasting, Multi-task learning, Hierarchical clustering, Satellite communication, Information technology, T58.5-58.64

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352864825000690; https://doaj.org/toc/2352-8648

Access URL: https://doaj.org/article/42c6b15013c54e88baa741fcdabfaf10