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Journal Articles
- 2024
[j31]Elham Hatefi, Hossein Karshenas
, Peyman Adibi:
Distribution shift alignment in visual domain adaptation. Expert Syst. Appl. 235: 121210 (2024)- [j30]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: 128062 (2024) - [j29]Asghar Torki, Peyman Adibi, Hamidreza Baradaran Kashani:
Multiple representation contrastive self-supervised learning for pulmonary nodule detection✰. Knowl. Based Syst. 301: 112307 (2024) - [j28]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): 10720-10745 (2024) - [j27]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): 6991-7005 (2024) - 2023
- [j26]Ali Mazraeh Farahani, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Hans-Peter Hutter, Alireza Darvishy:
Automatic Chart Understanding: A Review. IEEE Access 11: 76202-76221 (2023) - [j25]Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy:
Parallel encoder-decoder framework for image captioning. Knowl. Based Syst. 282: 111056 (2023) - [j24]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): 167 (2023) - [j23]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: 865-874 (2023) - [j22]Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi:
RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. 140: 109563 (2023) - [j21]Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Hamidreza Baradaran Kashani, Jocelyn Chanussot:
Soft dimensionality reduction for reinforcement data clustering. World Wide Web (WWW) 26(5): 3027-3054 (2023) - 2022
- [j20]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): 3842-3853 (2022) - 2021
- [j19]Abbas K. Ali, Peyman Adibi, Sayyed Mohammad Saeed Ehsani:
Depth Map Reconstruction and Enhancement With Local and Patch Manifold Regularized Deep Depth Priors. IEEE Access 9: 136111-136125 (2021) - [j18]Nima Farajian, Peyman Adibi:
Minority manifold regularization by stacked auto-encoder for imbalanced learning. Expert Syst. Appl. 169: 114317 (2021) - [j17]Ali Pournemat, Peyman Adibi, Jocelyn Chanussot:
Semisupervised charting for spectral multimodal manifold learning and alignment. Pattern Recognit. 111: 107645 (2021) - [j16]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): 3576-3586 (2021) - [j15]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: 1271-1286 (2021) - 2020
- [j14]Nima Farajian, Peyman Adibi:
DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning. Prog. Artif. Intell. 9(3): 263-274 (2020) - 2019
- [j13]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): 2321-2327 (2019) - [j12]Zahra Goudarzi, Peyman Adibi, Rolf-Rainer Grigat, Sayyed Mohammad Saeed Ehsani:
Making metric learning algorithms invariant to transformations using a projection metric on Grassmann manifolds. Int. J. Mach. Learn. Cybern. 10(12): 3407-3416 (2019) - 2018
- [j11]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): 161-175 (2018) - [j10]Neda Noormohamadi, Peyman Adibi, Sayyed Mohammad Saeed Ehsani:
Semantic image segmentation using an improved hierarchical graphical model. IET Image Process. 12(11): 1943-1950 (2018) - [j9]Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas:
KNN-based multi-label twin support vector machine with priority of labels. Neurocomputing 322: 177-186 (2018) - [j8]Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi:
Anomaly detection and localization in crowded scenes using connected component analysis. Multim. Tools Appl. 77(12): 14767-14782 (2018) - [j7]Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi:
Abnormal event detection in crowded scenes using one-class SVM. Signal Image Video Process. 12(6): 1115-1123 (2018) - 2017
- [j6]Alireza Sokhandan, Peyman Adibi, Mohammadreza Sajadi:
Multitask fuzzy Bregman co-clustering approach for clustering data with multisource features. Neurocomputing 247: 102-114 (2017) - 2016
- [j5]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): 193-201 (2016) - 2015
- [j4]Abdollah Nazarpour, Peyman Adibi:
Two-stage multiple kernel learning for supervised dimensionality reduction. Pattern Recognit. 48(5): 1854-1862 (2015) - 2009
- [j3]Peyman Adibi, Reza Safabakhsh:
Linear manifold topographic map formation based on an energy function with on-line adaptation rules. Neurocomputing 72(7-9): 1817-1825 (2009) - [j2]Peyman Adibi, Reza Safabakhsh:
Information Maximization in a Linear Manifold Topographic Map. Neural Process. Lett. 29(3): 155-178 (2009) - 2005
- [j1]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: 335-357 (2005)
Conference and Workshop Papers
- 2019
- [c3]A. Rasouli, Hossein Rabbani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi:
Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data. EMBC 2019: 4636-4639 - 2009
- [c2]Peyman Adibi, Reza Safabakhsh:
Batch linear manifold topographic map with regional dimensionality estimation. IJCNN 2009: 63-70 - 2007
- [c1]Peyman Adibi, Reza Safabakhsh:
Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map. IJCNN 2007: 1133-1138
Informal and Other Publications
- 2024
- [i7]Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas:
FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR abs/2402.18605 (2024) - [i6]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 abs/2407.21041 (2024) - 2023
- [i5]Ali Abedi, Hossein Karshenas, Peyman Adibi:
Multi-modal reward for visual relationships-based image captioning. CoRR abs/2303.10766 (2023) - 2021
- [i4]Maysam Behmanesh, Peyman Adibi, Hossein Karshenas:
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR abs/2105.01198 (2021) - [i3]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 abs/2105.05631 (2021) - [i2]Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot:
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. CoRR abs/2111.13361 (2021) - 2018
- [i1]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 abs/1802.06305 (2018)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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