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Publication search results
found 569 matches
- 2024
- Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic:
Finding core labels for maximizing generalization of graph neural networks. Neural Networks 180: 106635 (2024) - Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng:
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. npj Digit. Medicine 7(1) (2024) - Yuqing Liang, Dongpo Xu, Naimin Zhang, Danilo P. Mandic:
Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. Optim. Lett. 18(9): 2113-2131 (2024) - Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, Danilo P. Mandic:
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. Sensors 24(3): 877 (2024) - Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic:
Price's Theorem for Quaternion Variables. IEEE Signal Process. Lett. 31: 1424-1428 (2024) - Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 59-71 (2024) - Clive Cheong Took, Sayed Pouria Talebi, Rosa M. Fernández-Alcalá, Danilo P. Mandic:
Augmented Statistics of Quaternion Random Variables: A lynchpin of quaternion learning machines [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 72-87 (2024) - Harry J. Davies, Ghena Hammour, Marek Zylinski, Amir Nassibi, Ljubisa Stankovic, Danilo P. Mandic:
The Deep-Match Framework: R-Peak Detection in Ear-ECG. IEEE Trans. Biomed. Eng. 71(7): 2014-2021 (2024) - Marek Zylinski, Amir Nassibi, Ildar Rakhmatulin, Adil Malik, Christos Michael Papavassiliou, Danilo P. Mandic:
Deployment of Artificial Intelligence Models on Edge Devices: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1738-1743 (2024) - Shengxi Li, Xuelong Li, Leonardo Chiariglione, Jiebo Luo, Wenwu Wang, Zhengyuan Yang, Danilo P. Mandic, Hamido Fujita:
Introduction to the Special Issue on AI-Generated Content for Multimedia. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6809-6813 (2024) - Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14903-14917 (2024) - Isidora Stankovic, Milos Brajovic, Cornel Ioana, Milos Dakovic, Danilo P. Mandic, Ljubisa Stankovic:
Matched Filtering on Directed Graphs. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5857-5861 (2024) - Harry J. Davies, Yuyang Miao, Amir Nassibi, Morteza Khaleghimeybodi, Danilo P. Mandic:
Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data. ICASSP 2024: 5215-5219 - Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. ICASSP Workshops 2024: 55-56 - Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML 2024 - Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion. IJCNN 2024: 1-8 - Yuyang Miao, Haolin Li, Danilo P. Mandic:
GPINN: Physics-Informed Neural Network with Graph Embedding. IJCNN 2024: 1-8 - Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic:
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. IJCNN 2024: 1-8 - Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic:
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. CoRR abs/2401.16729 (2024) - Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. CoRR abs/2401.17380 (2024) - Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion. CoRR abs/2402.14227 (2024) - Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides, Danilo P. Mandic:
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications. CoRR abs/2403.12285 (2024) - Nina Moutonnet, Steven White, Benjamin P. Campbell, Danilo Mandic, Gregory Scott:
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: a systematic review. CoRR abs/2404.15332 (2024) - Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR abs/2405.07024 (2024) - Harry J. Davies, James Monsen, Danilo P. Mandic:
Interpretable Pre-Trained Transformers for Heart Time-Series Data. CoRR abs/2407.20775 (2024) - Edoardo Occhipinti, Marek Zylinski, Harry J. Davies, Amir Nassibi, Matteo Bermond, Patrik Bachtiger, Nicholas S. Peters, Danilo P. Mandic:
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders. CoRR abs/2409.05891 (2024) - Zeyang Yu, Shengxi Li, Danilo P. Mandic:
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers. CoRR abs/2409.12610 (2024) - 2023
- Harry J. Davies, Danilo P. Mandic:
Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach. Biomed. Signal Process. Control. 85: 104992 (2023) - Sayed Pouria Talebi, Simon J. Godsill, Danilo P. Mandic:
Filtering Structures for α-Stable Systems. IEEE Control. Syst. Lett. 7: 553-558 (2023) - Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic:
Last-iterate convergence analysis of stochastic momentum methods for neural networks. Neurocomputing 527: 27-35 (2023)
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