Mahdieh Soleymani Baghshah

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 54

Top Topics

Distance Metric Learning

Domain Adaptation

Top Venues

IEEE Trans. Knowl. Data Eng.

Pattern Recognit. Lett.

Publications

Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. CoRR (2024)
Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models. ICLR (2024)
Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP. CoRR (2024)
Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language? CoRR (2024)
Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, HamidReza Yaghoubi Araghi, Mahdieh Soleymani Baghshah
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation. CoRR (2024)
Matina Mahdizadeh Sani, Ali Royat, Mahdieh Soleymani Baghshah
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method. CoRR (2024)
Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. CoRR (2024)
Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari
Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. SemEval@ACL (2023)
Pooya Esmaeil Akhoondi, Mahdieh Soleymani Baghshah
Semantic Segmentation With Multiple Contradictory Annotations Using a Dynamic Score Function. IEEE Access 11 (2023)
Mahdi Ghaznavi, Hesam Asadollahzadeh, HamidReza Yaghoubi Araghi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
Annotation-Free Group Robustness via Loss-Based Resampling. CoRR (2023)
Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. MICCAI (2) (2023)
Seyyed AmirHossein Ameli Kalkhoran, Mohammadamin Banayeeanzade, Mahdi Samiei, Mahdieh Soleymani Baghshah
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning. CoRR (2023)
Adeleh Bitarafan, Mohammad Farid Azampour, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. MICCAI (4) (2022)
Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. J. Imaging 8 (8) (2022)
Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, Mahdieh Soleymani Baghshah
BIMRL: Brain Inspired Meta Reinforcement Learning. CoRR (2022)
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. Medical Image Anal. 75 (2022)
Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
SCGG: A Deep Structure-Conditioned Graph Generative Model. CoRR (2022)
Yassaman Ommi, Matin Yousefabadi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation. WWW (Companion Volume) (2022)
Faezeh Faez, Ali Akhoondian Amiri, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
DMNP: A Deep Learning Approach for Missing Node Prediction in Partially Observed Graphs. ASONAM (2022)
Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, Mahdieh Soleymani Baghshah
BIMRL: Brain Inspired Meta Reinforcement Learning. IROS (2022)
Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. CoRR (2021)
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. CoRR (2021)
Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. CoRR (2021)
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. ICML (2021)
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-e-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. MICCAI (5) (2021)
Alireza Roshanzamir, Hamid Aghajan, Mahdieh Soleymani Baghshah
Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. CoRR (2021)
Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. CoRR (2021)
Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah
DGSAN: Discrete generative self-adversarial network. Neurocomputing 448 (2021)
Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
Deep Graph Generators: A Survey. IEEE Access 9 (2021)
Adeleh Bitarafan, Mahdi Nikdan, Mahdieh Soleymani Baghshah
3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Matin Yousefabadi, Yassaman Ommi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation. CoRR (2021)
Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
Deep Graph Generators: A Survey. CoRR (2020)
Hamidreza Khodajou-Chokami, Adeleh Bitarafan, Dmitry V. Dylov, Mahdieh Soleymani Baghshah, Seyed Abolfazl Hosseini
Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method. MeMeA (2020)
Hosein Hasani, Adeleh Bitarafan, Mahdieh Soleymani Baghshah
Classification of 12-lead ECG Signals With Adversarial Multi-Source Domain Generalization. CinC (2020)
Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah
Paraphrase Generation by Learning How to Edit from Samples. ACL (2020)
Adeleh Bitarafan, Afra Amini, Mahdieh Soleymani Baghshah, Hamidreza Khodajou-Chokami
A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks. MeMeA (2020)
Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah
Jointly Measuring Diversity and Quality in Text Generation Models. CoRR (2019)
Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah
DGSAN: Discrete Generative Self-Adversarial Network. CoRR (2019)
Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah
An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels. IEEE Trans. Knowl. Data Eng. 31 (2) (2019)
Melika Behjati, Seyed-Mohsen Moosavi-Dezfooli, Mahdieh Soleymani Baghshah, Pascal Frossard
Universal Adversarial Attacks on Text Classifiers. ICASSP (2019)
Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
MGCN: semi-supervised classification in multi-layer graphs with graph convolutional networks. ASONAM (2019)
Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
Multi-layered Graph Embedding with Graph Convolutional Networks. CoRR (2018)
Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
Adversarial Classifier for Imbalanced Problems. CoRR (2018)
Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah
A probabilistic multi-label classifier with missing and noisy labels handling capability. Pattern Recognit. Lett. 89 (2017)
Marzieh Gheisari, Mahdieh Soleymani Baghshah
Joint predictive model and representation learning for visual domain adaptation. Eng. Appl. Artif. Intell. 58 (2017)
Seyed Mahdi Roostaiyan, Ehsan Imani, Mahdieh Soleymani Baghshah
Multi-modal deep distance metric learning. Intell. Data Anal. 21 (6) (2017)
Adeleh Bitarafan, Mahdieh Soleymani Baghshah, Marzieh Gheisari
Incremental Evolving Domain Adaptation. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Mitra Montazeri, Mahdieh Soleymani Baghshah, Aliakbar Niknafs
Selecting Efficient Features via a Hyper-Heuristic Approach. CoRR (2016)
Sarah Rastegar, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Seyed Mohsen Shojaee
MDL-CW: A Multimodal Deep Learning Framework with CrossWeights. CVPR (2016)
Seyed Mohsen Shojaee, Mahdieh Soleymani Baghshah
Semi-supervised Zero-Shot Learning by a Clustering-based Approach. CoRR (2016)
Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah
Active Distance-Based Clustering Using K-Medoids. PAKDD (1) (2016)
Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah
An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels. CoRR (2016)
Marzieh Gheisari, Mahdieh Soleymani Baghshah
Unsupervised domain adaptation via representation learning and adaptive classifier learning. Neurocomputing 165 (2015)
Mehrdad Ghadiri, Amin Aghaee, Mahdieh Soleymani Baghshah
Active Distance-Based Clustering using K-medoids. CoRR (2015)
Mitra Montazeri, Mahdieh Soleymani Baghshah, Ahmad Enhesari
Hyper-Heuristic Algorithm for Finding Efficient Features in Diagnose of Lung Cancer Disease. CoRR (2015)
Mahdieh Soleymani Baghshah, Fatemeh Afsari, Saeed Bagheri Shouraki, Esfandiar Eslami
Scalable semi-supervised clustering by spectral kernel learning. Pattern Recognit. Lett. 45 (2014)
Behnam Babagholami-Mohamadabadi, Seyed Mahdi Roostaiyan, Ali Zarghami, Mahdieh Soleymani Baghshah
Multi-Modal Distance Metric Learning: ABayesian Non-parametric Approach. ECCV Workshops (3) (2014)
Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah
PSSDL: Probabilistic Semi-supervised Dictionary Learning. ECML/PKDD (3) (2013)
Montazeri Mitra, Abbas Bahrololoum, Hossein Nezamabadi-pour, Mahdieh Soleymani Baghshah, Mahdieh Montazeri
Cooperating of Local Searches based Hyperheuristic Approach for Solving Traveling Salesman Problem. IJCCI (ECTA-FCTA) (2011)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Learning low-rank kernel matrices for constrained clustering. Neurocomputing 74 (12-13) (2011)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Efficient Kernel Learning from Constraints and Unlabeled Data. ICPR (2010)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Low-rank kernel learning for semi-supervised clustering. IEEE ICCI (2010)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Kernel-based metric learning for semi-supervised clustering. Neurocomputing 73 (7-9) (2010)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data. Pattern Recognit. 43 (8) (2010)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data. Intell. Data Anal. 13 (6) (2009)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
Semi-Supervised Metric Learning Using Pairwise Constraints. IJCAI (2009)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Caro Lucas
An agent-based clustering algorithm using potential fields. AICCSA (2008)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
A fuzzy clustering algorithm for finding arbitrary shaped clusters. AICCSA (2008)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki
A Novel Semi-supervised Clustering Algorithm for Finding Clusters of Arbitrary Shapes. CSICC (2008)
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Ramin Halavati, Caro Lucas
Evolving fuzzy classifiers using a symbiotic approach. IEEE Congress on Evolutionary Computation (2007)