Peyman Adibi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 35

Top Topics

Top Venues

IET Image Process.

Pattern Recognit.

Publications

Mohammad Saeid Mahdavinejad, Peyman Adibi, Seyed Amir Hassan Monadjemi, Pascal Hitzler
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models. CoRR (2024)
Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Jocelyn Chanussot
Local and soft feature selection for value function approximation in batch reinforcement learning for robot navigation. J. Supercomput. 80 (8) (2024)
Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas
FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR (2024)
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization. Neurocomputing 598 (2024)
Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot
Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Elham Hatefi, Hossein Karshenas, Peyman Adibi
Distribution shift alignment in visual domain adaptation. Expert Syst. Appl. 235 (2024)
Ali Mazraeh Farahani, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Hans-Peter Hutter, Alireza Darvishy
Automatic Chart Understanding: A Review. IEEE Access 11 (2023)
Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Hamidreza Baradaran Kashani, Jocelyn Chanussot
Soft dimensionality reduction for reinforcement data clustering. World Wide Web (WWW) 26 (5) (2023)
Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140 (2023)
Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy
Parallel encoder-decoder framework for image captioning. Knowl. Based Syst. 282 (2023)
Elahe Mousavi, Ammar Hasanzadeh Keshteli, Mohammadreza Sehhati, Ahmad Vaez, Peyman Adibi
Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Ali Abedi, Hossein Karshenas, Peyman Adibi
Multi-modal reward for visual relationships-based image captioning. CoRR (2023)
Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter
Mathematical expression recognition using a new deep neural model. Neural Networks 167 (2023)
Mehrnaz Aghanouri, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi
Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method. IET Image Process. 16 (14) (2022)
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization. CoRR (2021)
Ali Pournemat, Peyman Adibi, Jocelyn Chanussot
Semisupervised charting for spectral multimodal manifold learning and alignment. Pattern Recognit. 111 (2021)
Abbas K. Ali, Peyman Adibi, Mohammad Saeid Ehsani
Depth Map Reconstruction and Enhancement With Local and Patch Manifold Regularized Deep Depth Priors. IEEE Access 9 (2021)
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani
Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization. IEEE Trans. Signal Process. 69 (2021)
Azra Rasouli Kenari, Hossein Rabbani, Saeed Kermani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi
A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based On Sparse Representation. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Maysam Behmanesh, Peyman Adibi, Mohammad Saeid Ehsani, Jocelyn Chanussot
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. CoRR (2021)
Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR (2021)
Nima Farajian, Peyman Adibi
Minority manifold regularization by stacked auto-encoder for imbalanced learning. Expert Syst. Appl. 169 (2021)
Nima Farajian, Peyman Adibi
DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning. Prog. Artif. Intell. 9 (3) (2020)
Zahra Goudarzi, Peyman Adibi, Rolf-Rainer Grigat, Mohammad Saeid Ehsani
Making metric learning algorithms invariant to transformations using a projection metric on Grassmann manifolds. Int. J. Mach. Learn. Cybern. 10 (12) (2019)
A. Rasouli, Hossein Rabbani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi
Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data. EMBC (2019)
Mehrnaz Aghanouri, Ali Ghaffari, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi
New image-guided method for localisation of an active capsule endoscope in the stomach. IET Image Process. 13 (12) (2019)
Neda Noormohamadi, Peyman Adibi, Sayyed Mohammad Saeed Ehsani
Semantic image segmentation using an improved hierarchical graphical model. IET Image Process. 12 (11) (2018)
Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi
Abnormal event detection in crowded scenes using one-class SVM. Signal Image Video Process. 12 (6) (2018)
Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas
KNN-based multi-label twin support vector machine with priority of labels. Neurocomputing 322 (2018)
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks 4 (3) (2018)
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
Machine learning for Internet of Things data analysis: A survey. CoRR (2018)
Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi
Anomaly detection and localization in crowded scenes using connected component analysis. Multim. Tools Appl. 77 (12) (2018)
Alireza Sokhandan, Peyman Adibi, Mohammadreza Sajadi
Multitask fuzzy Bregman co-clustering approach for clustering data with multisource features. Neurocomputing 247 (2017)
Somaye Ahmadkhani, Peyman Adibi
Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework. IET Comput. Vis. 10 (3) (2016)
Abdollah Nazarpour, Peyman Adibi
Two-stage multiple kernel learning for supervised dimensionality reduction. Pattern Recognit. 48 (5) (2015)
Peyman Adibi, Reza Safabakhsh
Linear manifold topographic map formation based on an energy function with on-line adaptation rules. Neurocomputing 72 (7-9) (2009)
Peyman Adibi, Reza Safabakhsh
Information Maximization in a Linear Manifold Topographic Map. Neural Process. Lett. 29 (3) (2009)
Peyman Adibi, Reza Safabakhsh
Batch linear manifold topographic map with regional dimensionality estimation. IJCNN (2009)
Peyman Adibi, Reza Safabakhsh
Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map. IJCNN (2007)
Peyman Adibi, Mohammad Reza Meybodi, Reza Safabakhsh
Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering. Neurocomputing 64 (2005)