Mahdieh Soleymani Baghshah

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An agent-based clustering algorithm using potential fields

Caro Lucas, Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.

Deep Learning-Based Proarrhythmia Analysis Using Field Potentials Recorded From Human Pluripotent Stem Cells Derived Cardiomyocytes

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Zeinab Golgooni, 2019, IEEE Journal of Translational Engineering in Health and Medicine.

An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels pdf

Mahdieh Soleymani Baghshah, Amirhossein Akbarnejad, M. Baghshah, 2016, ArXiv.

Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method

Mahdieh Soleymani Baghshah, Hamidreza Khodajou-Chokami, Adeleh Bitarafan, 2020, 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Universal Adversarial Attacks on Text Classifiers

Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Mahdieh Soleymani Baghshah, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Kernel-based metric learning for semi-supervised clustering

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, M. Baghshah, 2010, Neurocomputing.

Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, M. Baghshah, 2010, Pattern Recognit..

Efficient Kernel Learning from Constraints and Unlabeled Data

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2010, 2010 20th International Conference on Pattern Recognition.

PSSDL: Probabilistic Semi-supervised Dictionary Learning

Mahdieh Soleymani Baghshah, Mohammadreza Zolfaghari, Behnam Babagholami-Mohamadabadi, 2013, ECML/PKDD.

Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2009, Intell. Data Anal..

Cooperating of Local Searches based Hyperheuristic Approach for Solving Traveling Salesman Problem

Hossein Nezamabadi-pour, Mahdieh Soleymani Baghshah, Montazeri Mitra, 2011, IJCCI.

Selecting Efficient Features via a Hyper-Heuristic Approach pdf

Mahdieh Soleymani Baghshah, Aliakbar Niknafs, Montazeri Mitra, 2016, ArXiv.

Deep Graph Generators: A Survey pdf

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Faezeh Faez, 2020, IEEE Access.

Active Distance-Based Clustering Using K-Medoids pdf

Mahdieh Soleymani Baghshah, Mehrdad Ghadiri, Amin Aghaee, 2016, PAKDD.

An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels

Mahdieh Soleymani Baghshah, Amirhossein Hosseini Akbarnejad, M. Baghshah, 2019, IEEE Transactions on Knowledge and Data Engineering.

Low-rank kernel learning for semi-supervised clustering

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Multi-Modal Distance Metric Learning: ABayesian Non-parametric Approach

Mahdieh Soleymani Baghshah, Behnam Babagholami-Mohamadabadi, Ali Zarghami, 2014, ECCV Workshops.

Joint predictive model and representation learning for visual domain adaptation

Mahdieh Soleymani Baghshah, Marzieh Gheisari, M. Baghshah, 2017, Eng. Appl. Artif. Intell..

Unsupervised domain adaptation via representation learning and adaptive classifier learning

Mahdieh Soleymani Baghshah, Marzieh Gheisari, M. Baghshah, 2015, Neurocomputing.

A novel fuzzy approach to recognition of online Persian handwriting

Mahdieh Soleymani Baghshah, 2005 .

Jointly Measuring Diversity and Quality in Text Generation Models pdf

Mahdieh Soleymani Baghshah, Ehsan Montahaei, Danial Alihosseini, 2019, Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation.

MDL-CW: A Multimodal Deep Learning Framework with CrossWeights

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Sarah Rastegar, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A fuzzy clustering algorithm for finding arbitrary shaped clusters

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, M. Baghshah, 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.

Learning low-rank kernel matrices for constrained clustering

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2011, Neurocomputing.

Evolving fuzzy classifiers using a symbiotic approach

Caro Lucas, Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2007, 2007 IEEE Congress on Evolutionary Computation.

Semi-supervised Zero-Shot Learning by a Clustering-based Approach pdf

Mahdieh Soleymani Baghshah, Seyed Mohsen Shojaee, M. Baghshah, 2016, ArXiv.

Multi-modal deep distance metric learning

Mahdieh Soleymani Baghshah, Ehsan Imani, Seyed Mahdi Roostaiyan, 2017, Intell. Data Anal..

Hyper-Heuristic Algorithm for Finding Efficient Features in Diagnose of Lung Cancer Disease pdf

Mahdieh Soleymani Baghshah, Montazeri Mitra, Ahmad Enhesari, 2015, ArXiv.

DGSAN: Discrete Generative Self-Adversarial Network pdf

Mahdieh Soleymani Baghshah, Ehsan Montahaei, Danial Alihosseini, 2019, ArXiv.

Semi-Supervised Metric Learning Using Pairwise Constraints

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, 2009, IJCAI.

Paraphrase Generation by Learning How to Edit from Samples

Mahdieh Soleymani Baghshah, Mohammadreza Salehi, Amirhossein Kazemnejad, 2020, ACL.

A probabilistic multi-label classifier with missing and noisy labels handling capability

Mahdieh Soleymani Baghshah, Amirhossein Akbarnejad, 2017, Pattern Recognit. Lett..

A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks

Mahdieh Soleymani Baghshah, Hamidreza Khodajou-Chokami, Adeleh Bitarafan, 2020, 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Mahsa Ghorbani, 2018, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Multi-layered Graph Embedding with Graph Convolutional Networks pdf

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Mahsa Ghorbani, 2018, ArXiv.

Adversarial Classifier for Imbalanced Problems pdf

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Mahsa Ghorbani, 2018, ArXiv.

Scalable semi-supervised clustering by spectral kernel learning

Fatemeh Afsari, Esfandiar Eslami, Mahdieh Soleymani Baghshah, 2014, Pattern Recognit. Lett..

GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

Hamid R. Rabiee, Nassir Navab, Mahdieh Soleymani Baghshah, 2021, MICCAI.

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

Lisheng Wang, Dwarikanath Mahapatra, Mahdieh Soleymani Baghshah, 2021, IEEE Transactions on Medical Imaging.

RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

Hamid R. Rabiee, Nassir Navab, Mahdieh Soleymani Baghshah, 2021, Medical image analysis.

Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE pdf

Mahdieh Soleymani Baghshah, Sina Hajimiri, Aryo Lotfi, 2021, ArXiv.

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging pdf

Catarina Eloy, Mahdieh Soleymani Baghshah, Vincenzo Della Mea, 2021, J. Imaging.

Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning

Mahdieh Soleymani Baghshah, Shohreh Kasaei, Hassan Hafez-Kolahi, 2021, ICML.

DGSAN: Discrete Generative Self-Adversarial Network

Mahdieh Soleymani Baghshah, Ehsan Montahaei, Danial Alihosseini, 2019, Neurocomputing.

CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation pdf

Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Amirmojtaba Sabour, 2021, ArXiv.

Incremental Evolving Domain Adaptation

Mahdieh Soleymani Baghshah, Marzieh Gheisari, Adeleh Bitarafan, 2016, IEEE Transactions on Knowledge and Data Engineering.

Multi-label classification with feature-aware implicit encoding and generalized cross-entropy loss

Mahdieh Soleymani Baghshah, Fatemeh Farahnak-Ghazani, 2016, 2016 24th Iranian Conference on Electrical Engineering (ICEE).