| Contrastive representation learning for electroencephalogram classification MN Mohsenvand, MR Izadi, P Maes Machine Learning for Health, 238-253, 2020 | 187 | 2020 |
| Optimization of graph neural networks with natural gradient descent MR Izadi, Y Fang, R Stevenson, L Lin 2020 IEEE international conference on big data (big data), 171-179, 2020 | 48 | 2020 |
| Toward a computer aided diagnosis system for lumbar disc herniation disease based on MR images analysis M Nikravan, E Ebrahimzadeh, MR Izadi, M Mikaeili Biomedical Engineering: Applications, Basis and Communications 28 (06), 1650042, 2016 | 24 | 2016 |
| Separation of overlapping sources in bioacoustic mixtures MR Izadi, R Stevenson, LN Kloepper The Journal of the Acoustical Society of America 147 (3), 1688-1696, 2020 | 9 | 2020 |
| Feature level fusion from facial attributes for face recognition MR Izadi arXiv preprint arXiv:1909.13126, 2019 | 6 | 2019 |
| Hissnet: Sound event detection and speaker identification via hierarchical prototypical networks for low-resource headphones N Shashaank, B Banar, MR Izadi, J Kemmerer, S Zhang, CCJ Huang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Affinity mixup for weakly supervised sound event detection MR Izadi, R Stevenson, L Kloepper 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 2 | 2021 |
| Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model T Karchkhadze, MR Izadi, K Chen, G Assayag, S Dubnov arXiv preprint arXiv:2409.02845, 2024 | 1 | 2024 |
| Latent CLAP Loss for Better Foley Sound Synthesis T Karchkhadze, HS Kavaki, MR Izadi, B Irvin, M Kegler, A Hertz, S Zhang, ... arXiv preprint arXiv:2403.12182, 2024 | 1 | 2024 |
| Segmentation of overlapping sources in mixtures of bat echolocation calls MR Izadi, RL Stevenson, L Kloepper The Journal of the Acoustical Society of America 146 (4_Supplement), 3026-3026, 2019 | 1 | 2019 |
| Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models T Karchkhadze, MR Izadi, S Dubnov arXiv preprint arXiv:2409.12346, 2024 | | 2024 |
| Towards Optimal Voice Disentanglement with Weak Supervision MR Izadi, Y Yan, S Zhang, R Stevenson ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| “It os Okay to be Uncommon”: Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support Y Wu, X Quan, MR Izadi, CCJ Huang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Audio Representation Learning with Deep Neural Networks MR Izadi University of Notre Dame, 2024 | | 2024 |
| Out of the bat lab and into the field: Sensorimotor strategies of bats at high-speed flight L Kloepper, I Bentley, C Harding, C Brighton, M Izadi, R Stevenson, ... The Journal of the Acoustical Society of America 153 (3_supplement), A131-A131, 2023 | | 2023 |
| Affinity Mixup for Weakly Supervised Sound Event Detection M Rasool Izadi, R Stevenson, LN Kloepper arXiv e-prints, arXiv: 2106.11233, 2021 | | 2021 |
| Optimization of Graph Neural Networks with Natural Gradient Descent M Rasool Izadi, Y Fang, R Stevenson, L Lin arXiv e-prints, arXiv: 2008.09624, 2020 | | 2020 |
| Improving Source Extraction with Diffusion and Consistency Models T Karchkhadze, MR Izadi, S Zhang Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 0 | | |
