Mina Rezaei - RankMe

56 papers A* 3A 2B 2C 2Misc 1Journal 33Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GAN: a promising approach to trustworthiness of AI. AI Ethics Mina Rezaei, Saeedeh Babaii, Faezeh Norouzi
2025	A*	`conf`	Calibrating LLMs with Information-Theoretic Evidential Deep Learning. ICLR Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei
2025	J	`jnl`	Calibrating LLMs with Information-Theoretic Evidential Deep Learning. CoRR Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei
2025	J	`jnl`	Explorers' Intangible Power. Commun. ACM Mina Rezaei
2025	J	`jnl`	Mitigating Catastrophic Forgetting in Continual Learning through Model Growth. CoRR Ege Süalp, Mina Rezaei
2025	J	`jnl`	Revisiting Theory of Contrastive Learning for Domain Generalization. CoRR Ali Alvandi, Mina Rezaei
2025	J	`jnl`	crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. CoRR Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria G. Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Ji-Wung Han, Li Zhang, Jonathan Shapey, Tom Vercauteren
2024	J	`jnl`	A Dual-Perspective Approach to Evaluating Feature Attribution Methods. Trans. Mach. Learn. Res. Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
2024	—	`conf`	Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings. ECML/PKDD (1) Fabian Stermann, Ilias Chalkidis, Amihossein Vahidi, Bernd Bischl, Mina Rezaei
2024	—	`conf`	Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning. ECML/PKDD (1) Amihossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2024	J	`jnl`	FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. CoRR Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
2024	A	`conf`	Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities. ECAI JaeEun Nam, Ilias Chalkidis, Mina Rezaei
2024	A*	`conf`	Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization. ICLR Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2024	—	`conf`	Uncertainty-Aware Vision Transformers for Medical Image Analysis. UNSURE@MICCAI Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz
2023	J	`jnl`	A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
2023	J	`jnl`	AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip H. S. Torr, Ashkan Khakzar, Kenji Kawaguchi
2023	J	`jnl`	Deep Bregman divergence for self-supervised representations learning. Comput. Vis. Image Underst. Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
2023	J	`jnl`	Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning. CoRR Amirhossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2023	—	`conf`	Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. ACL (Findings) Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis
2023	J	`jnl`	Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. CoRR Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis
2023	C	`conf`	Neural Architecture Search for Genomic Sequence Data. CIBCB Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder
2023	J	`jnl`	Probabilistic Self-supervised Learning via Scoring Rules Minimization. CoRR Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
2023	J	`jnl`	Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz
2023	C	`conf`	Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. ICMLA Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei
2023	J	`jnl`	Young Humans Make Change, Young Users Click: Creating Youth-Centered Networked Social Movements. CoRR Mina Rezaei, Patsy Eubanks Owens
2022	J	`jnl`	Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models. CoRR Ashkan Khakzar, Yawei Li, Yang Zhang, Mirac Sanisoglu, Seong Tae Kim, Mina Rezaei, Bernd Bischl, Nassir Navab
2022	—	`conf`	Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images. Computer-Aided Diagnosis Mina Rezaei, Janne J. Näppi, Bernd Bischl, Hiroyuki Yoshida
2022	B	`conf`	Deep variational clustering framework for self-labeling large-scale medical images. Image Processing Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
2022	J	`jnl`	Evaluating User Experience in Literary and Film Geography-based Apps with a Cartographical User-Centered Design Lens. CoRR Mina Rezaei, Patsy Eubanks Owens, Darnel Degand
2022	A*	`conf`	FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. NeurIPS Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler
2022	J	`jnl`	FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. CoRR Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
2022	—	`conf`	Joint Debiased Representation Learning and Imbalanced Data Clustering. ICDM (Workshops) Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
2022	J	`jnl`	Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei
2022	J	`jnl`	Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. CoRR Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl
2022	J	`jnl`	Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. CoRR Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei
2021	J	`jnl`	Deep Bregman Divergence for Contrastive Learning of Visual Representations. CoRR Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
2021	J	`jnl`	Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images. CoRR Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
2021	J	`jnl`	Learning Statistical Representation with Joint Deep Embedded Clustering. CoRR Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
2020	J	`jnl`	Generative multi-adversarial network for striking the right balance in abdominal image segmentation. Int. J. Comput. Assist. Radiol. Surg. Mina Rezaei, Janne J. Näppi, Christoph Lippert, Christoph Meinel, Hiroyuki Yoshida
2020	—	`conf`	Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. Computer-Aided Diagnosis Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel
2020	J	`jnl`	Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. Multim. Tools Appl. Mina Rezaei, Haojin Yang, Christoph Meinel
2019	A	`conf`	Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation. WACV Mina Rezaei, Haojin Yang, Konstantin Harmuth, Christoph Meinel
2019	—	`—`	Deep representation learning from imbalanced medical imaging Mina Rezaei
2019	—	`conf`	Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks. Computer-Aided Diagnosis Mina Rezaei, Haojin Yang, Christoph Meinel
2018	J	`jnl`	Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. CoRR Mina Rezaei, Haojin Yang, Christoph Meinel
2018	Misc	`conf`	Generative Adversarial Framework for Learning Multiple Clinical Tasks. DICTA Mina Rezaei, Haojin Yang, Christoph Meinel
2018	B	`conf`	Instance Tumor Segmentation using Multitask Convolutional Neural Network. IJCNN Mina Rezaei, Haojin Yang, Christoph Meinel
2018	J	`jnl`	Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. CoRR Mina Rezaei, Haojin Yang, Christoph Meinel
2018	—	`conf`	Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks. Bildverarbeitung für die Medizin Mina Rezaei, Haojin Yang, Christoph Meinel
2018	—	`conf`	voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation. BrainLes@MICCAI (2) Mina Rezaei, Haojin Yang, Christoph Meinel
2017	—	`conf`	A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. BrainLes@MICCAI Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel
2017	J	`jnl`	Brain Abnormality Detection by Deep Convolutional Neural Network. CoRR Mina Rezaei, Haojin Yang, Christoph Meinel
2017	J	`jnl`	Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. CoRR Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel
2017	J	`jnl`	Deep Learning for Medical Image Analysis. CoRR Mina Rezaei, Haojin Yang, Christoph Meinel
2017	—	`conf`	Deep Neural Network with l2-Norm Unit for Brain Lesions Detection. ICONIP (4) Mina Rezaei, Haojin Yang, Christoph Meinel
2017	J	`jnl`	Deep Neural Network with l2-norm Unit for Brain Lesions Detection. CoRR Mina Rezaei, Haojin Yang, Christoph Meinel