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Andac Demir
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2020 – today
- 2024
- [i9]Andac Demir, Elizaveta Solovyeva, James Boylan, Mei Xiao, Fabrizio Serluca, Sebastian Hoersch, Jeremy Jenkins, Murthy V. Devarakonda, Bulent Kiziltan:
sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures. CoRR abs/2405.03726 (2024) - 2023
- [c6]Andac Demir, Elie Massaad, Bulent Kiziltan:
Topology-Aware Focal Loss for 3D Image Segmentation. CVPR Workshops 2023: 580-589 - [i8]Andac Demir, Elie Massaad, Bülent Kiziltan:
Topology-Aware Focal Loss for 3D Image Segmentation. CoRR abs/2304.12223 (2023) - [i7]Andac Demir, Bulent Kiziltan:
Multiparameter Persistent Homology for Molecular Property Prediction. CoRR abs/2311.10808 (2023) - [i6]Andac Demir, Francis Prael III, Bulent Kiziltan:
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction. CoRR abs/2312.07633 (2023) - 2022
- [c5]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2022: 30-35 - [c4]Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS 2022 - [i5]Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR abs/2211.03808 (2022) - [i4]Andac Demir, Iya Khalil, Bulent Kiziltan:
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG. CoRR abs/2212.04951 (2022) - 2021
- [j2]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access 9: 39955-39972 (2021) - [j1]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. Biomed. Signal Process. Control. 67: 102507 (2021) - [c3]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2021: 1061-1067 - [i3]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. CoRR abs/2102.08976 (2021) - [i2]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR abs/2106.09135 (2021) - 2020
- [i1]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR abs/2007.01255 (2020)
2010 – 2019
- 2019
- [c2]Andac Demir, Safaa Eldeeb, Murat Akçakaya, Deniz Erdogmus:
Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. MLSP 2019: 1-6 - [c1]Andac Demir, Mathew Yarossi, Damon Hyde, Mouhsin Shafi, Dana H. Brooks, Deniz Erdogmus:
Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit. NER 2019: 1109-1112
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