| EEG-GNN: Graph neural networks for classification of electroencephalogram (EEG) signals A Demir, T Koike-Akino, Y Wang, M Haruna, D Erdogmus 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 59 | 2021 |
| ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery A Demir, B Coskunuzer, I Segovia-Dominguez, Y Chen, Y Gel, B Kiziltan Advances in Neural Information Processing Systems 35, 27978-27993, 2022 | 10 | 2022 |
| EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals A Demir, T Koike-Akino, Y Wang, D Erdogmus 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 9 | 2022 |
| EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks O Özdenizci, S Eldeeb, A Demir, D Erdoğmuş, M Akcakaya Biomedical signal processing and control 67, 102507, 2021 | 7 | 2021 |
| AutoBayes: Automated Bayesian graph exploration for nuisance-robust inference A Demir, T Koike-Akino, Y Wang, D Erdogmus IEEE Access 9, 39955-39972, 2021 | 7 | 2021 |
| EEG-based trial-by-trial texture classification during active touch S Eldeeb, D Weber, J Ting, A Demir, D Erdogmus, M Akcakaya Scientific reports 10 (1), 20755, 2020 | 7 | 2020 |
| Remote Monitoring of the Soil Quality with the Internet of Things A Demir https://sites.tufts.edu/eeseniordesignhandbook/files/2017/05/Azure_Demir_F1.pdf, 2017 | 7 | 2017 |
| Automated Construction of Neural Network Architecture with Bayesian Graph Exploration T Koike-Akino, Y Wang, A Demir, D Erdogmus US Patent App. 16/919,211, 2022 | 6 | 2022 |
| Topology-aware focal loss for 3d image segmentation A Demir, E Massaad, B Kiziltan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit A Demir, M Yarossi, D Hyde, M Shafi, D Brooks, D Erdoğmuş 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019 | 2 | 2019 |
| Multiparameter Persistent Homology for Molecular Property Prediction A Demir, B Kiziltan ICLR 2023, Machine Learning for Drug Discovery Workshop, 2023 | 1 | 2023 |
| SE (3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction A Demir, F Prael III, B Kiziltan NeurIPS 2023, AI for Science Workshop, 2023 | | 2023 |
| Automated Bayesian Network Exploration for Nuisance-Robust Inference A Demir Northeastern University, 2022 | | 2022 |
| AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis A Demir, T Koike-Akino, Y Wang, D Erdogmus arXiv preprint arXiv:2007.01255, 2020 | | 2020 |
| Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments A Demir, S Eldeeb, M Akçakaya, D Erdoğmuş 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | | 2019 |
| sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures A Demir, E Solovyeva, J Boylan, M Xiao, F Serluca, S Hoersch, ... ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 0 | | |
Deniz ErdogmusProfessor of ECE, Northeastern UniversityVerified email at ece.neu.edu
