Nazanin Moradinasab

15 papers B 1C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions. CoRR Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu, Donald E. Brown
2025	J	`jnl`	Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features. CoRR Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu, Donald E. Brown
2025	—	`conf`	Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment. ICCVW Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu, Sana Syed, Donald E. Brown
2025	J	`jnl`	Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment. CoRR Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu, Sana Syed, Donald E. Brown
2024	J	`jnl`	GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. CoRR Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown
2024	B	`conf`	Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation. ICIP Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown
2024	C	`conf`	ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. ICMLA Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown
2024	J	`jnl`	ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. CoRR Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown
2024	J	`jnl`	Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning. Data Min. Knowl. Discov. Nazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown
2023	—	`conf`	Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images. MILLanD@MICCAI Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2023	J	`jnl`	Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images. CoRR Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2022	—	`conf`	Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. MLHC Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2022	J	`jnl`	Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. CoRR Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2020	J	`jnl`	Universal Hysteresis Identification Using Extended Preisach Neural Network. CoRR Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji, Nazanin Moradinasab
2013	J	`jnl`	No-wait two stage hybrid flow shop scheduling with genetic and adaptive imperialist competitive algorithms. J. Exp. Theor. Artif. Intell. Nazanin Moradinasab, Rasoul Shafaei, Meysam Rabiee, Pezhman Ramezani