Publications
2025
Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
arXiv Preprint
·
28 Aug 2025
Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition
IEEE Access
·
12 Jun 2025
Conversion-aware forecasting of Alzheimer’s disease via featurewise attention
Springer London
·
20 Mar 2025
2024
Out-of-Distribution Detection with Prototype Similarity
IEEE
·
11 Dec 2024
Channel-Attentive Graph Neural Networks
2024 IEEE International Conference on Data Mining (ICDM)
·
09 Dec 2024
Adversarial Robustness for Deep Metric Learning
2024 IEEE International Conference on Image Processing (ICIP)
·
27 Oct 2024
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
IEEE Access
·
13 Sep 2024
Perturbation Augmentation for Adversarial Training with Diverse Attacks
Gazi University Journal of Science Part A: Engineering and Innovation
·
29 Jun 2024
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks
IEEE Journal of Biomedical and Health Informatics
·
01 Jun 2024
Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
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27 May 2024
Signer-independent sign language recognition with feature disentanglement
Turkish Journal of Electrical Engineering and Computer Sciences
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20 May 2024
2023
Multi-cue temporal modeling for skeleton-based sign language recognition
Frontiers in Neuroscience
·
05 Apr 2023
Editorial: Pattern recognition for healthcare analytics
Frontiers in Digital Health
·
30 Mar 2023
Robustness-via-synthesis: Robust training with generative adversarial perturbations
Neurocomputing
·
01 Jan 2023
2022
Image Classification on Accelerated Neural Networks
arXiv Preprint
·
21 Mar 2022
2020
Adversarial Training with Orthogonal Regularization
2020 28th Signal Processing and Communications Applications Conference (SIU)
·
05 Oct 2020
2018
Heterogeneous Hyper-Network Embedding
2018 IEEE International Conference on Data Mining (ICDM)
·
01 Nov 2018
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
·
19 Jul 2018
An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence
Scientific Reports
·
29 Jan 2018
2017
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates
KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
·
13 Aug 2017
Patient Subtyping via Time-Aware LSTM Networks
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
·
04 Aug 2017
2016
Asynchronous Multi-task Learning
2016 IEEE 16th International Conference on Data Mining (ICDM)
·
01 Dec 2016
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records
IEEE Transactions on Multimedia
·
01 Nov 2016
Stochastic convex sparse principal component analysis
EURASIP Journal on Bioinformatics and Systems Biology
·
09 Sep 2016
Multi-Task Feature Interaction Learning
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
·
13 Aug 2016
2015
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval
arXiv Preprint
·
06 Dec 2015
2014
Head motion classification with 2D motion estimation
2014 22nd Signal Processing and Communications Applications Conference (SIU)
·
01 Apr 2014
Investigating conversion from mild cognitive impairment to alzheimer's disease using latent space manipulation
The International Symposium on Health Informatics and Bioinformatics
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