Andac Demir

Orcid: 0000-0002-2869-3879

According to our database1, Andac Demir authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction.
CoRR, 2023

Multiparameter Persistent Homology for Molecular Property Prediction.
CoRR, 2023

Topology-Aware Focal Loss for 3D Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG.
CoRR, 2022

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks.
Biomed. Signal Process. Control., 2021

AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference.
IEEE Access, 2021

EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis.
CoRR, 2020

2019
Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019


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