• Suche: "Multi-task learning"

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1

A multi-task learning framework for mortality prediction in liver transplant candidates
Halimi, Abdelghani ; Houmani, Nesma ; Garcia-Salicetti, Sonia ; et al.
38th International Symposium on Computer-Based Medical Systems (CBMS). :484-489

Madrid, Spain Organ Allocation Multi-Task Learning Model Explainability Liver Transplantation Hepatocellular Carcinoma …
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2

Joint Underwater Depth Estimation and Dehazing from a Single Image using Attention U-Net
Nazir, Saqib ; Asiyabi, Reza Mohammadi ; Lézoray, Olivier ; et al.
Design & Architectures for Signal & Image Processing (DASIP). :69-80

Barcelone, Spain Underwater Image Enhance... Depth estimation Image dehazing Multi-task learning [INFO]Computer Science [...
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3

Multi-Task Learning Approach for Hospital Bed Requirement Prediction
Bedada, Mihiretu ; Megdiche, Imen ; Lamine, Elyes ; et al.
2024 IEEE/ACS - 21st International Conference on Computer Systems and Applications (AICCSA). :1-6

Sousse, Tunisia Inpatient Department Emergency Department Time-series Prediction Multi-Task Learning [SPI]Engineering Science...
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4

Multi-task learning for identifying multi-activity situations and application type from network traffic
Boumhand, Ahcene ; Singh, Kamal ; Hadjadj-Aoul, Yassine ; et al.
WiMob 2024 - 20th International Conference on Wireless and Mobile Computing. :1-7

Paris, France Network traffic classifi... activity recognition multi-activity situation... deep learning multi-task learning …
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5

Kinetics Enhanced by Heterogeneous Transfer Learning
Abed, Youba ; Jacques, Julien ; Costa, Victor ; et al.
Workshop de clôture CIROQUO, May 2025, Ecully, France. 2025

Ecully, France Heterogeneous Transfer L... Heterogeneous Bayesian T... Deep Heterogeneous Trans... Multi-Task Learning Earlier Layers Fine-Tuni... …
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6

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
Le, Ngoc Luyen ; Abel, Marie-Hélène ; Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc) ; et al.
28th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2025), May 2025, Compiègne, France

Compiègne, France Deep Learning Group Recommender System Multi-task Learning Group Profiling Joint Learning …
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7

Multi-task convolution neural network-based lifting scheme for image compression
Dardouri, Tassnim ; Kaaniche, Mounir ; Benazza-Benyahia, Amel ; et al.
Pattern Recognition Letters. 195:66-72

[SPI]Engineering Science... Wavelet transforms [SPI] Engineering Scienc... multi-task learning adaptive lifting neural networks …
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8

Deep learning for quantified gait analysis: a systematic literature review
Khan, Adil ; Galarraga, Omar ; Garcia-Salicetti, Sonia ; et al.
IEEE Access. 12:138932-138957

deep learning gait rehabilitation joint angles multi-task learning quantified gait analysis systematic literature re... …
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9

Asymmetric multi-task learning for interpretable gaze-driven grasping action forecasting
González-Diaz, Iván ; Molina-Moreno, Miguel ; Benois-Pineau, Jenny ; et al.
IEEE Journal of Biomedical and Health Informatics. :1-17

constrained loss I interpretable attention... multi-task learning Grasping action forecast... Grasping action forecast... [INFO]Computer Science [... …
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10

Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation
Vongpaseut, Clarine ; Lumbreras, Alberto ; Gartrell, Mike ; et al.
18e Conférence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conférence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues. :73-81

Paris, France Prefix tuning Multi task learning Generalization property Data to text [INFO.INFO-CL]Computer S... …
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11

SegMorph: Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences: Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences
Ning, Bi ; Arezoo, Zakeri ; Yan, Xia ; et al.
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

motion estimation Image segmentation Biomedical imaging Multi-task learning Spatiotemporal phenomena Bayesian inference …
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12

A Unified Method for Patch Pruning in Vision Transformers to Achieve Efficient Model Deployment
Xiuying, Shui ; Harbin Institute of Technology (HIT)

Vision Transformers Patch Pruning Model Compression Computational Efficiency Self-Attention Heuristic-Based Pruning …
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13

Revisiting Fine-Tuning: A Survey of Parameter-Efficient Techniques for Large AI Models
Lei, Shufen ; Hua, Yin ; Zhihao, Shufen ; et al.

Parameter-Efficient Fine... Foundation Models Transfer Learning Adapters LoRA Prompt Tuning …
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14

Implementation of new normalisation-based feature transformation methodology for multi-task learning using residual TCN with multi-channel and spatial attention
Gawali, Swapnali Sunil ; Kshirsagar, Dhananjay B.
International Journal of System Assurance Engineering and Management. :1-26

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15

Enhancing inter-sentence coherence of extractive summarization with multitask learning
Jie, Renlong ; Meng, Xiaojun ; Lifeng, Shang ; et al.
Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies. 63(6):1891-1919

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16

A comprehensive performance evaluation method based on muti-task learning-assisted stacked performance-related autoencoder for hot strip mill process
Ma, Jian-hong ; Qin, Xin ; Peng, Kai-xiang ; et al.
Journal of Iron and Steel Research International. 32(12):4264-4280

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17

Enhanced multi-task learning using optimization methods
Bazikar, Fatemeh ; Sadeghi Bigham, Bahram ; Moosaei, Hossein
International Journal of Data Science and Analytics. 20(8):7189-7210

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18

Multi-task federated learning with encoder–decoder structure: enabling collaborative learning across different tasks
Zhou, Jingxuan ; Bao, Weidong ; Wang, Ji ; et al.
International Journal of Machine Learning and Cybernetics. 16(12):10403-10420

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19

PMDTC: progressive multi-task deep trajectory clustering
Liu, Baiqi ; Cheng, Yuan ; Zhang, Fuquan
Wireless Networks: The Journal of Mobile Communication, Computation and Information. :1-13

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20

An asymmetric lightweight multi-task network based on KAN convolution
Meng, Fanyun ; Sun, Yongqiang ; Zhu, Zhenyu ; et al.
Soft Computing: A Fusion of Foundations, Methodologies and Applications. 29(21-22):5845-5857

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