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)

Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map. - Peyman Adibi; Reza Safabakhsh (IJCNN, 2007)

Batch linear manifold topographic map with regional dimensionality estimation. - Peyman Adibi; Reza Safabakhsh (IJCNN, 2009)

Linear manifold topographic map formation based on an energy function with on-line adaptation rules. - Peyman Adibi; Reza Safabakhsh (Neurocomputing, 2009)

Information Maximization in a Linear Manifold Topographic Map. - Peyman Adibi; Reza Safabakhsh (Neural Process. Lett., 2009)

Two-stage multiple kernel learning for supervised dimensionality reduction. - Abdollah Nazarpour; Peyman Adibi (Pattern Recognit., 2015)

Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework. - Somaye Ahmadkhani; Peyman Adibi (IET Comput. Vis., 2016)

Multitask fuzzy Bregman co-clustering approach for clustering data with multisource features. - Alireza Sokhandan; Peyman Adibi; Mohammadreza Sajadi (Neurocomputing, 2017)

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)

Semantic image segmentation using an improved hierarchical graphical model. - Neda Noormohamadi; Peyman Adibi; Sayyed Mohammad Saeed Ehsani (IET Image Process., 2018)

KNN-based multi-label twin support vector machine with priority of labels. - Zahra Hanifelou; Peyman Adibi; Sayyed Amirhassan Monadjemi; Hossein Karshenas (Neurocomputing, 2018)

Anomaly detection and localization in crowded scenes using connected component analysis. - Somaieh Amraee; Abbas Vafaei; Kamal Jamshidi; Peyman Adibi (Multim. Tools Appl., 2018)

Abnormal event detection in crowded scenes using one-class SVM. - Somaieh Amraee; Abbas Vafaei; Kamal Jamshidi; Peyman Adibi (Signal Image Video Process., 2018)

Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data. - A. Rasouli; Hossein Rabbani; Mostafa Raisi; Maryam Soheilipour; Peyman Adibi (EMBC, 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)

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)

DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning. - Nima Farajian; Peyman Adibi (Prog. Artif. Intell., 2020)

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)

Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. - Maysam Behmanesh; Peyman Adibi; Hossein Karshenas (CoRR, 2021)

Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. - Maysam Behmanesh; Peyman Adibi; Sayyed Mohammad Saeed Ehsani; Jocelyn Chanussot (CoRR, 2021)

Minority manifold regularization by stacked auto-encoder for imbalanced learning. - Nima Farajian; Peyman Adibi (Expert Syst. Appl., 2021)

Semisupervised charting for spectral multimodal manifold learning and alignment. - Ali Pournemat; Peyman Adibi; Jocelyn Chanussot (Pattern Recognit., 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)

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)

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)

Automatic Chart Understanding: A Review. - Ali Mazraeh Farahani; Peyman Adibi; Sayyed Mohammad Saeed Ehsani; Hans-Peter Hutter; Alireza Darvishy (IEEE Access, 2023)

Multi-modal reward for visual relationships-based image captioning. - Ali Abedi 009; Hossein Karshenas; Peyman Adibi (CoRR, 2023)

RMAML: Riemannian meta-learning with orthogonality constraints. - Hadi Tabealhojeh; Peyman Adibi; Hossein Karshenas; Soumava Kumar Roy; Mehrtash Harandi (Pattern Recognit., 2023)

Soft dimensionality reduction for reinforcement data clustering. - Fatemeh Fathinezhad; Peyman Adibi; Bijan Shoushtarian; Hamidreza Baradaran Kashani; Jocelyn Chanussot (World Wide Web (WWW), 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, 2023)

Parallel encoder-decoder framework for image captioning. - Reyhane Saeidimesineh; Peyman Adibi; Hossein Karshenas; Alireza Darvishy (Knowl. Based Syst., 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., 2023)

FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. - Hadi Tabealhojeh; Soumava Kumar Roy; Peyman Adibi; Hossein Karshenas (CoRR, 2024)

They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models. - Mohammad Saeid Mahdavinejad; Peyman Adibi; Seyed Amir Hassan Monadjemi; Pascal Hitzler (CoRR, 2024)

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 (Neurocomputing, 2024)

Multiple representation contrastive self-supervised learning for pulmonary nodule detection✰. - Asghar Torki; Peyman Adibi; Hamidreza Baradaran Kashani (Knowl. Based Syst., 2024)

Distribution shift alignment in visual domain adaptation. - Elham Hatefi; Hossein Karshenas; Peyman Adibi (Expert Syst. Appl., 2024)

Local and soft feature selection for value function approximation in batch reinforcement learning for robot navigation. - Fatemeh Fathinezhad; Peyman Adibi; Bijan Shoushtarian; Jocelyn Chanussot (J. Supercomput., 2024)

Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network. - Maysam Behmanesh; Peyman Adibi; Sayyed Mohammad Saeed Ehsani; Jocelyn Chanussot (IEEE Trans. Neural Networks Learn. Syst., 2024)

Chart question answering with multimodal graph representation learning and zero-shot classification. - Ali Mazraeh Farahani; Peyman Adibi; Sayyed Mohammad Saeed Ehsani; Hans-Peter Hutter; Alireza Darvishy (Expert Syst. Appl., 2025)

Multimodal Image Classification Based on Convolutional Network and Attention-Based Hidden Markov Random Field. - Elham Kordi Ghasrodashti; Peyman Adibi; Hossein Karshenas; Hamidreza Baradaran Kashani; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2025)

A new geometry-aware non-euclidean distance metric. - Mehran Ghaziasgar; Hossein Mahvash Mohammadi; Peyman Adibi (Mach. Learn., 2025)