Publications

12 / 3,661 publications found.


  •  Pan, Z., Wichern, G., Germain, F.G., Khurana, S., Le Roux, J., "NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP48485.2024.10446333, March 2024, pp. 11456-11460.
    BibTeX TR2024-025 PDF
    • @inproceedings{Pan2024mar,
    • author = {Pan, Zexu and Wichern, Gordon and Germain, François G and Khurana, Sameer and Le Roux, Jonathan},
    • title = {NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2024,
    • pages = {11456--11460},
    • month = mar,
    • doi = {10.1109/ICASSP48485.2024.10446333},
    • url = {https://www.merl.com/publications/TR2024-025}
    • }
  •  Fujihashi, T., Koike-Akino, T., "Graph-Based EEG Signal Compression for Human-Machine Interaction", IEEE Access, DOI: 10.1109/​ACCESS.2023.3347592, Vol. 12, No. IEEE, pp. 1163-1171, March 2024.
    BibTeX TR2024-015 PDF
    • @article{Fujihashi2024mar,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki},
    • title = {Graph-Based EEG Signal Compression for Human-Machine Interaction},
    • journal = {IEEE Access},
    • year = 2024,
    • volume = 12,
    • number = {IEEE},
    • pages = {1163--1171},
    • month = mar,
    • doi = {10.1109/ACCESS.2023.3347592},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2024-015}
    • }
  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., Bicer, Y., Erdogmus, D., "Stabilizing Subject Transfer in EEG Classification with Divergence Estimation", arXiv, October 2023.
    BibTeX arXiv
    • @article{Smedemark-Margulies2023oct,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran and Bicer, Yunus and Erdogmus, Deniz},
    • title = {Stabilizing Subject Transfer in EEG Classification with Divergence Estimation},
    • journal = {arXiv},
    • year = 2023,
    • month = oct,
    • url = {https://arxiv.org/abs/2310.08762}
    • }
  •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), DOI: 10.1109/​BHI56158.2022.9926814, September 2022.
    BibTeX TR2022-121 PDF Video Presentation
    • @inproceedings{Koike-Akino2022sep,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {quEEGNet: Quantum AI for Biosignal Processing},
    • booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
    • year = 2022,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/BHI56158.2022.9926814},
    • issn = {2641-3604},
    • isbn = {978-1-6654-8791-7},
    • url = {https://www.merl.com/publications/TR2022-121}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871984, July 2022.
    BibTeX TR2022-097 PDF
    • @inproceedings{Demir2022jul,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871984},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-097}
    • }
  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871649, July 2022.
    BibTeX TR2022-098 PDF Software
    • @inproceedings{Smedemark-Margulies2022jul,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
    • booktitle = {International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871649},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-098}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., Haruna, M., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​EMBC46164.2021.9630194, October 2021.
    BibTeX TR2021-136 PDF Video Presentation
    • @inproceedings{Demir2021oct,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz and Haruna, Masaki},
    • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC46164.2021.9630194},
    • issn = {2694-0604},
    • isbn = {978-1-7281-1179-7},
    • url = {https://www.merl.com/publications/TR2021-136}
    • }
  •  Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Learning Invariant Representations from EEG via Adversarial Inference", IEEE Access, DOI: 10.1109/​ACCESS.2020.2971600, Vol. 8, pp. 27074-27085, April 2020.
    BibTeX TR2020-049 PDF
    • @article{Ozdenizci2020apr,
    • author = {Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {Learning Invariant Representations from EEG via Adversarial Inference},
    • journal = {IEEE Access},
    • year = 2020,
    • volume = 8,
    • pages = {27074--27085},
    • month = apr,
    • doi = {10.1109/ACCESS.2020.2971600},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2020-049}
    • }
  •  Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Adversarial Deep Learning in EEG Biometrics", IEEE Signal Processing Letters, DOI: 10.1109/​LSP.2019.2906826, Vol. 26, No. 5, pp. 710-714, March 2019.
    BibTeX TR2019-017 PDF
    • @article{Ozdenizci2019mar2,
    • author = {Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {Adversarial Deep Learning in EEG Biometrics},
    • journal = {IEEE Signal Processing Letters},
    • year = 2019,
    • volume = 26,
    • number = 5,
    • pages = {710--714},
    • month = mar,
    • doi = {10.1109/LSP.2019.2906826},
    • url = {https://www.merl.com/publications/TR2019-017}
    • }
  •  Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​NER.2019.8716897, March 2019.
    BibTeX TR2018-184 PDF
    • @inproceedings{Ozdenizci2019mar,
    • author = {Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2019,
    • month = mar,
    • doi = {10.1109/NER.2019.8716897},
    • url = {https://www.merl.com/publications/TR2018-184}
    • }
  •  Wei, C.-S., Koike-Akino, T., Wang, Y., "Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​NER.2019.8716937, March 2019.
    BibTeX TR2018-210 PDF
    • @inproceedings{Wei2019mar,
    • author = {Wei, Chun-Shu and Koike-Akino, Toshiaki and Wang, Ye},
    • title = {Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2019,
    • month = mar,
    • doi = {10.1109/NER.2019.8716937},
    • url = {https://www.merl.com/publications/TR2018-210}
    • }
  •  Koike-Akino, T., Mahajan, R., Marks, T.K., Tuzel, C.O., Wang, Y., Watanabe, S., Orlik, P.V., "High-Accuracy User Identification Using EEG Biometrics", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), DOI: 10.1109/​EMBC.2016.7590835, August 2016, pp. 854-858.
    BibTeX TR2016-105 PDF Presentation
    • @inproceedings{Koike-Akino2016aug,
    • author = {Koike-Akino, Toshiaki and Mahajan, Ruhi and Marks, Tim K. and Tuzel, C. Oncel and Wang, Ye and Watanabe, Shinji and Orlik, Philip V.},
    • title = {High-Accuracy User Identification Using EEG Biometrics},
    • booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
    • year = 2016,
    • pages = {854--858},
    • month = aug,
    • doi = {10.1109/EMBC.2016.7590835},
    • url = {https://www.merl.com/publications/TR2016-105}
    • }