Peyman Adibi - RankMe

47 papers B 2C 1Journal 43Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning. CoRR Kian Majlessi, Amir Masoud Soltani, Mohammad Ebrahim Mahdavi, Aurelien Gourrier, Peyman Adibi
2025	J	`jnl`	A new geometry-aware non-euclidean distance metric. Mach. Learn. Mehran Ghaziasgar, Hossein Mahvash Mohammadi, Peyman Adibi
2025	J	`jnl`	Chart question answering with multimodal graph representation learning and zero-shot classification. Expert Syst. Appl. Ali Mazraeh Farahani, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Hans-Peter Hutter, Alireza Darvishy
2025	J	`jnl`	Multimodal Image Classification Based on Convolutional Network and Attention-Based Hidden Markov Random Field. IEEE Trans. Geosci. Remote. Sens. Elham Kordi Ghasrodashti, Peyman Adibi, Hossein Karshenas, Hamidreza Baradaran Kashani, Jocelyn Chanussot
2025	J	`jnl`	PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning. CoRR Melika Shirian, Kianoosh Vadaei, Kian Majlessi, Audrina Ebrahimi, Arshia Hemmat, Peyman Adibi, Hossein Karshenas
2025	C	`conf`	Towards Explainable Depression Detection: A Neurosymbolic Approach to Uncover Social Media Signals with Generative AI. NeSy Mohammad Saeid Mahdavinejad, Peyman Adibi, Amirhassan Monajemi, Pascal Hitzler
2024	J	`jnl`	Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization. Neurocomputing Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
2024	J	`jnl`	Distribution shift alignment in visual domain adaptation. Expert Syst. Appl. Elham Hatefi, Hossein Karshenas, Peyman Adibi
2024	J	`jnl`	FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint. CoRR Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi, Hossein Karshenas
2024	J	`jnl`	Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot
2024	J	`jnl`	Local and soft feature selection for value function approximation in batch reinforcement learning for robot navigation. J. Supercomput. Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Jocelyn Chanussot
2024	J	`jnl`	Multiple representation contrastive self-supervised learning for pulmonary nodule detection✰. Knowl. Based Syst. Asghar Torki, Peyman Adibi, Hamidreza Baradaran Kashani
2024	J	`jnl`	They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models. CoRR Mohammad Saeid Mahdavinejad, Peyman Adibi, Seyed Amir Hassan Monadjemi, Pascal Hitzler
2023	J	`jnl`	Automatic Chart Understanding: A Review. IEEE Access Ali Mazraeh Farahani, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Hans-Peter Hutter, Alireza Darvishy
2023	J	`jnl`	Mathematical expression recognition using a new deep neural model. Neural Networks Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter
2023	J	`jnl`	Multi-modal reward for visual relationships-based image captioning. CoRR Ali Abedi, Hossein Karshenas, Peyman Adibi
2023	J	`jnl`	Parallel encoder-decoder framework for image captioning. Knowl. Based Syst. Reyhane Saeidimesineh, Peyman Adibi, Hossein Karshenas, Alireza Darvishy
2023	J	`jnl`	RMAML: Riemannian meta-learning with orthogonality constraints. Pattern Recognit. Hadi Tabealhojeh, Peyman Adibi, Hossein Karshenas, Soumava Kumar Roy, Mehrtash Harandi
2023	J	`jnl`	Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach. BMC Medical Informatics Decis. Mak. Elahe Mousavi, Ammar Hasanzadeh Keshteli, Mohammadreza Sehhati, Ahmad Vaez, Peyman Adibi
2023	J	`jnl`	Soft dimensionality reduction for reinforcement data clustering. World Wide Web (WWW) Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Hamidreza Baradaran Kashani, Jocelyn Chanussot
2022	J	`jnl`	Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method. IET Image Process. Mehrnaz Aghanouri, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi
2021	J	`jnl`	A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based On Sparse Representation. IEEE J. Biomed. Health Informatics Azra Rasouli Kenari, Hossein Rabbani, Saeed Kermani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi
2021	J	`jnl`	Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization. CoRR Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
2021	J	`jnl`	Depth Map Reconstruction and Enhancement With Local and Patch Manifold Regularized Deep Depth Priors. IEEE Access Abbas K. Ali, Peyman Adibi, Sayyed Mohammad Saeed Ehsani
2021	J	`jnl`	Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. CoRR Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot
2021	J	`jnl`	Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization. IEEE Trans. Signal Process. Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani
2021	J	`jnl`	Minority manifold regularization by stacked auto-encoder for imbalanced learning. Expert Syst. Appl. Nima Farajian, Peyman Adibi
2021	J	`jnl`	Semisupervised charting for spectral multimodal manifold learning and alignment. Pattern Recognit. Ali Pournemat, Peyman Adibi, Jocelyn Chanussot
2021	J	`jnl`	Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
2020	J	`jnl`	DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning. Prog. Artif. Intell. Nima Farajian, Peyman Adibi
2019	—	`conf`	Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data. EMBC A. Rasouli, Hossein Rabbani, Mostafa Raisi, Maryam Soheilipour, Peyman Adibi
2019	J	`jnl`	Making metric learning algorithms invariant to transformations using a projection metric on Grassmann manifolds. Int. J. Mach. Learn. Cybern. Zahra Goudarzi, Peyman Adibi, Rolf-Rainer Grigat, Sayyed Mohammad Saeed Ehsani
2019	J	`jnl`	New image-guided method for localisation of an active capsule endoscope in the stomach. IET Image Process. Mehrnaz Aghanouri, Ali Ghaffari, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi
2018	J	`jnl`	Abnormal event detection in crowded scenes using one-class SVM. Signal Image Video Process. Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi
2018	J	`jnl`	Anomaly detection and localization in crowded scenes using connected component analysis. Multim. Tools Appl. Somaieh Amraee, Abbas Vafaei, Kamal Jamshidi, Peyman Adibi
2018	J	`jnl`	KNN-based multi-label twin support vector machine with priority of labels. Neurocomputing Zahra Hanifelou, Peyman Adibi, Sayyed Amirhassan Monadjemi, Hossein Karshenas
2018	J	`jnl`	Machine learning for Internet of Things data analysis: A survey. CoRR Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
2018	J	`jnl`	Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
2018	J	`jnl`	Semantic image segmentation using an improved hierarchical graphical model. IET Image Process. Neda Noormohamadi, Peyman Adibi, Sayyed Mohammad Saeed Ehsani
2017	J	`jnl`	Multitask fuzzy Bregman co-clustering approach for clustering data with multisource features. Neurocomputing Alireza Sokhandan, Peyman Adibi, Mohammadreza Sajadi
2016	J	`jnl`	Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework. IET Comput. Vis. Somaye Ahmadkhani, Peyman Adibi
2015	J	`jnl`	Two-stage multiple kernel learning for supervised dimensionality reduction. Pattern Recognit. Abdollah Nazarpour, Peyman Adibi
2009	B	`conf`	Batch linear manifold topographic map with regional dimensionality estimation. IJCNN Peyman Adibi, Reza Safabakhsh
2009	J	`jnl`	Information Maximization in a Linear Manifold Topographic Map. Neural Process. Lett. Peyman Adibi, Reza Safabakhsh
2009	J	`jnl`	Linear manifold topographic map formation based on an energy function with on-line adaptation rules. Neurocomputing Peyman Adibi, Reza Safabakhsh
2007	B	`conf`	Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map. IJCNN Peyman Adibi, Reza Safabakhsh
2005	J	`jnl`	Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering. Neurocomputing Peyman Adibi, Mohammad Reza Meybodi, Reza Safabakhsh