Peyman Adibi

According to our database, Peyman Adibi authored at least 35 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distribution shift alignment in visual domain adaptation.

Elham Hatefi, Hossein Karshenas, Peyman Adibi

Expert Syst. Appl., January, 2024

FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint.

Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas

CoRR, 2024

2023

Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach.

Elahe Mousavi, Ammar Hasanzadeh Keshteli, Mohammadreza Sehhati, Ahmad Vaez, Peyman Adibi

BMC Medical Informatics Decis. Mak., December, 2023

Parallel encoder-decoder framework for image captioning.

Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy

Knowl. Based Syst., December, 2023

Mathematical expression recognition using a new deep neural model.

Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter

Neural Networks, October, 2023

Soft dimensionality reduction for reinforcement data clustering.

Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Hamidreza Baradaran Kashani, Jocelyn Chanussot

World Wide Web (WWW), September, 2023

RMAML: Riemannian meta-learning with orthogonality constraints.

Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi

Pattern Recognit., August, 2023

Multi-modal reward for visual relationships-based image captioning.

Ali Abedi, Hossein Karshenas, Peyman Adibi

CoRR, 2023

Automatic Chart Understanding: A Review.

Ali Mazraeh Farahani, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Hans-Peter Hutter, Alireza Darvishy

IEEE Access, 2023

2022

Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method.

Mehrnaz Aghanouri, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi

IET Image Process., 2022

2021

Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization.

Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani

IEEE Trans. Signal Process., 2021

A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based On Sparse Representation.

Azra Rasouli Kenari, Hossein Rabbani, Saeed Kermani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi

IEEE J. Biomed. Health Informatics, 2021

Semisupervised charting for spectral multimodal manifold learning and alignment.

Ali Pournemat, Peyman Adibi, Jocelyn Chanussot

Pattern Recognit., 2021

Minority manifold regularization by stacked auto-encoder for imbalanced learning.

Nima Farajian, Peyman Adibi

Expert Syst. Appl., 2021

Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network.

Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot

CoRR, 2021

Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization.

Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani

CoRR, 2021

Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification.

Maysam Behmanesh, Peyman Adibi, Hossein Karshenas

CoRR, 2021

Depth Map Reconstruction and Enhancement With Local and Patch Manifold Regularized Deep Depth Priors.

Abbas K. Ali, Peyman Adibi, Sayyed Mohammad Saeed Ehsani

IEEE Access, 2021

2020

DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning.

Nima Farajian, Peyman Adibi

Prog. Artif. Intell., 2020

2019

Making metric learning algorithms invariant to transformations using a projection metric on Grassmann manifolds.

Zahra Goudarzi, Peyman Adibi, Rolf-Rainer Grigat, Sayyed Mohammad Saeed Ehsani

Int. J. Mach. Learn. Cybern., 2019

New image-guided method for localisation of an active capsule endoscope in the stomach.

Mehrnaz Aghanouri, Ali Ghaffari, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi

IET Image Process., 2019

Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data.

A. Rasouli, Hossein Rabbani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Abnormal event detection in crowded scenes using one-class SVM.

Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi

Signal Image Video Process., 2018

Anomaly detection and localization in crowded scenes using connected component analysis.

Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi

Multim. Tools Appl., 2018

KNN-based multi-label twin support vector machine with priority of labels.

Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas

Neurocomputing, 2018

Semantic image segmentation using an improved hierarchical graphical model.

Neda Noormohamadi, Peyman Adibi, Sayyed Mohammad Saeed Ehsani

IET Image Process., 2018

Machine learning for internet of things data analysis: a survey.

Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth

Digit. Commun. Networks, 2018

2017

Multitask fuzzy Bregman co-clustering approach for clustering data with multisource features.

Alireza Sokhandan, Peyman Adibi, Mohammadreza Sajadi

Neurocomputing, 2017

2016

Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework.

Somaye Ahmadkhani, Peyman Adibi

IET Comput. Vis., 2016

2015

Two-stage multiple kernel learning for supervised dimensionality reduction.

Abdollah Nazarpour, Peyman Adibi

Pattern Recognit., 2015

2009

Information Maximization in a Linear Manifold Topographic Map.

Peyman Adibi, Reza Safabakhsh

Neural Process. Lett., 2009

Linear manifold topographic map formation based on an energy function with on-line adaptation rules.

Peyman Adibi, Reza Safabakhsh

Neurocomputing, 2009

Batch linear manifold topographic map with regional dimensionality estimation.

Peyman Adibi, Reza Safabakhsh

Proceedings of the International Joint Conference on Neural Networks, 2009

2007

Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map.

Peyman Adibi, Reza Safabakhsh

Proceedings of the International Joint Conference on Neural Networks, 2007

2005

Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering.

Peyman Adibi, Mohammad Reza Meybodi, Reza Safabakhsh

Neurocomputing, 2005