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Mohammad Rostami
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with a similar name
- Mohammad Rostami Mehr
- Amir Mohammad Rostami
- Mohammad-Ali Rostami (aka: M. Ali Rostami) — University of Leipzig, Database Group, Germany (and 2 more)
- Mohammad-Amin Rostami
- Mohammad Ghomi Rostami
- Mohammad Javad Rostami — disambiguation page
- Mohammad Saleh Rostami
- Seyyed Mohammad Hosseini Rostami
- Mohammad Javad Rostami 0001 (aka: Mohamad Javad Rostami 0001) — Shahid Bahonar University of Kerman, Department of Electrical Engineering, Iran
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2020 – today
- 2024
- [j28]Serban Stan, Mohammad Rostami:
Source-free domain adaptation for semantic image segmentation using internal representations. Frontiers Big Data 7 (2024) - [j27]Mohammad Rostami:
Continuous unsupervised domain adaptation using stabilized representations and experience replay. Neurocomputing 597: 128017 (2024) - [j26]Mohammad Rostami, Salman Goli-Bidgoli:
An overview of QoS-aware load balancing techniques in SDN-based IoT networks. J. Cloud Comput. 13(1): 89 (2024) - [j25]Serban Stan, Mohammad Rostami:
Unsupervised model adaptation for source-free segmentation of medical images. Medical Image Anal. 95: 103179 (2024) - [j24]Mohammad Rostami:
Improving unsupervised domain adaptation through class-conditional compact representations. Neural Comput. Appl. 36(25): 15237-15254 (2024) - [j23]Zeyu Shangguan, Mohammad Rostami:
Improved region proposal network for enhanced few-shot object detection. Neural Networks 180: 106699 (2024) - [j22]Mohammad Rostami, Milad Mohammadi:
Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system. Oper. Res. 24(3): 39 (2024) - [c47]Mohammad Rostami, Alan Liu, Karthikeyan Sundaresan:
Scalable Acoustic IoT through Composable Distributed Beamforming Tags. IPSN 2024: 39-50 - [c46]Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami:
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) 2024: 497-500 - [i55]Serban Stan, Mohammad Rostami:
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations. CoRR abs/2401.01035 (2024) - [i54]Mohammad Rostami, Dayuan Jian:
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation. CoRR abs/2401.01042 (2024) - [i53]Navapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami:
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images. CoRR abs/2401.02941 (2024) - [i52]Mohammad Rostami:
Unsupervised Domain Adaptation Using Compact Internal Representations. CoRR abs/2401.07207 (2024) - [i51]Yuliang Cai, Mohammad Rostami:
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks. CoRR abs/2401.15275 (2024) - [i50]Mohammad Rostami:
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay. CoRR abs/2402.00580 (2024) - [i49]Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle:
Meta-Tasks: An alternative view on Meta-Learning Regularization. CoRR abs/2402.18599 (2024) - [i48]Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee:
CRISPR: Ensemble Model. CoRR abs/2403.03018 (2024) - [i47]Zeyu Shangguan, Daniel Seita, Mohammad Rostami:
Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR abs/2403.16188 (2024) - [i46]Zizhao Hu, Shaochong Jia, Mohammad Rostami:
An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models. CoRR abs/2403.16530 (2024) - [i45]Zizhao Hu, Mohammad Rostami:
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion. CoRR abs/2405.16098 (2024) - [i44]Yuliang Cai, Mohammad Rostami:
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering. CoRR abs/2408.11742 (2024) - [i43]Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami:
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning. CoRR abs/2408.16939 (2024) - [i42]Mengxi Wu, Hao Huang, Yi Fang, Mohammad Rostami:
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud. CoRR abs/2410.02720 (2024) - [i41]Ruitong Sun, Mohammad Rostami:
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images. CoRR abs/2410.09210 (2024) - 2023
- [j21]Mohammad Rostami, Salman Goli-Bidgoli:
TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation. IEEE Access 11: 97037-97056 (2023) - [j20]Mohammad Rostami:
Robust internal representations for domain generalization. AI Mag. 44(4): 467-481 (2023) - [j19]Mohammad Rostami, Ali Yousefzadeh:
A gamified teaching-learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment. Appl. Soft Comput. 146: 110598 (2023) - [c45]Mohammad Rostami, Aram Galstyan:
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. AAAI 2023: 9623-9631 - [c44]Mohammad Rostami:
Internal Robust Representations for Domain Generalization. AAAI 2023: 15451 - [c43]Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) 2023: 7740-7755 - [c42]Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason:
I2I: Initializing Adapters with Improvised Knowledge. CoLLAs 2023: 923-935 - [c41]Yuliang Cai, Jesse Thomason, Mohammad Rostami:
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. EMNLP (Findings) 2023: 6986-7000 - [c40]Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) 2023: 11484-11498 - [c39]Dayuan Jian, Mohammad Rostami:
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. ICCV 2023: 18675-18685 - [c38]Zeyu Shangguan, Mohammad Rostami:
Identification of Novel Classes for Improving Few-Shot Object Detection. ICCV (Workshops) 2023: 3348-3358 - [c37]Mohammad Rostami, Aram Galstyan:
Cognitively Inspired Learning of Incremental Drifting Concepts. IJCAI 2023: 3058-3066 - [i40]Mengxi Wu, Mohammad Rostami:
Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment. CoRR abs/2301.12361 (2023) - [i39]Serban Stan, Mohammad Rostami:
Preserving Fairness in AI under Domain Shift. CoRR abs/2301.12369 (2023) - [i38]Zeyu Shangguan, Mohammad Rostami:
Identification of Novel Classes for Improving Few-Shot Object Detection. CoRR abs/2303.10422 (2023) - [i37]Zizhao Hu, Mohammad Rostami:
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation. CoRR abs/2303.12255 (2023) - [i36]Dayuan Jian, Mohammad Rostami:
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. CoRR abs/2303.12424 (2023) - [i35]Yuliang Cai, Jesse Thomason, Mohammad Rostami:
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. CoRR abs/2303.14423 (2023) - [i34]Ruitong Sun, Mohammad Rostami:
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning. CoRR abs/2303.14615 (2023) - [i33]Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason:
I2I: Initializing Adapters with Improvised Knowledge. CoRR abs/2304.02168 (2023) - [i32]Viswanath Chadalapaka, Derek Nguyen, JoonWon Choi, Shaunak Joshi, Mohammad Rostami:
Low-Shot Learning for Fictional Claim Verification. CoRR abs/2304.02769 (2023) - [i31]Zizhao Hu, Mohammad Rostami:
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models. CoRR abs/2305.18433 (2023) - [i30]Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR abs/2305.18675 (2023) - [i29]Zeyu Shangguan, Mohammad Rostami:
Improved Region Proposal Network for Enhanced Few-Shot Object Detection. CoRR abs/2308.07535 (2023) - [i28]Mohammad Rostami:
Robust Internal Representations for Domain Generalization. CoRR abs/2309.15522 (2023) - [i27]Zizhao Hu, Mohammad Rostami:
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization. CoRR abs/2310.03898 (2023) - [i26]Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle:
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. CoRR abs/2310.13085 (2023) - [i25]Zizhao Hu, Shaochong Jia, Mohammad Rostami:
Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net. CoRR abs/2311.16488 (2023) - 2022
- [j18]Serban Stan, Mohammad Rostami:
Secure Domain Adaptation with Multiple Sources. Trans. Mach. Learn. Res. 2022 (2022) - [c36]Serban Stan, Mohammad Rostami:
Domain Adaptation for the Segmentation of Confidential Medical Images. BMVC 2022: 1007 - [c35]Mohammad Rostami:
Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. CoLLAs 2022: 281-293 - [c34]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP 2022: 3973-3977 - [c33]Mohammad Rostami, Karthikeyan Sundaresan:
Enabling high accuracy pervasive tracking with ultra low power UWB tags. MobiCom 2022: 459-472 - [c32]Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason:
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. NeurIPS 2022 - [i24]Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason:
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. CoRR abs/2206.09059 (2022) - [i23]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR abs/2207.04565 (2022) - [i22]Mohammad Rostami:
Increasing Model Generalizability for Unsupervised Domain Adaptation. CoRR abs/2209.14644 (2022) - [i21]Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images. CoRR abs/2211.00807 (2022) - 2021
- [j17]Mohammad Rostami, Armin Jabbarzadeh:
Integrated hub location and flow processing schedule problem under renewable capacity constraint. Comput. Appl. Math. 40(5) (2021) - [j16]Mohammad Rostami:
Minimizing maximum tardiness subject to collect the EOL products in a single machine scheduling problem with capacitated batch delivery and pickup systems. Comput. Ind. Eng. 161: 107634 (2021) - [c31]Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Continual Semantic Segmentation. AAAI 2021: 2593-2601 - [c30]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. AKBC 2021 - [c29]Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren:
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) 2021: 714-729 - [c28]Ziping Hu, Zepei Zhao, Mohammad Rostami, Filip Ilievski, Basel Shbita:
Demo: Knowledge Graph-Based Housing Market Analysis. KGCW@ESWC 2021 - [c27]Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita:
Open Drug Knowledge Graph. KGCW@ESWC 2021 - [c26]Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed:
Detection and Continual Learning of Novel Face Presentation Attacks. ICCV 2021: 14831-14840 - [c25]Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan:
MIXIQ: re-thinking ultra-low power receiver design for next-generation on-body applications. MobiCom 2021: 364-377 - [c24]Mohammad Rostami:
Lifelong Domain Adaptation via Consolidated Internal Distribution. NeurIPS 2021: 11172-11183 - [c23]Xingda Chen, Deepak Ganesan, Jeremy Gummeson, Mohammad Rostami:
COCOON: A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication. SenSys 2021: 84-96 - [i20]Serban Stan, Mohammad Rostami:
Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. CoRR abs/2101.00522 (2021) - [i19]Xisen Jin, Mohammad Rostami, Xiang Ren:
Lifelong Learning of Few-shot Learners across NLP Tasks. CoRR abs/2104.08808 (2021) - [i18]Serban Stan, Mohammad Rostami:
Secure Domain Adaptation with Multiple Sources. CoRR abs/2106.12124 (2021) - [i17]Mohammad Rostami, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. CoRR abs/2107.01598 (2021) - [i16]Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed:
Detection and Continual Learning of Novel Face Presentation Attacks. CoRR abs/2108.12081 (2021) - [i15]Mohammad Rostami, Aram Galstyan:
Cognitively Inspired Learning of Incremental Drifting Concepts. CoRR abs/2110.04662 (2021) - 2020
- [j15]Mohammad Rostami, David Isele, Eric Eaton:
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. 67: 673-704 (2020) - [j14]Mohammad Rostami, Morteza Bagherpour:
A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems. Oper. Res. 20(2): 857-897 (2020) - [j13]Mohammad Rostami, Shiva Nikravesh, Mahdi Shahin:
Minimizing total weighted completion and batch delivery times with machine deterioration and learning effect: a case study from wax production. Oper. Res. 20(3): 1255-1287 (2020) - [c22]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland:
Generative Continual Concept Learning. AAAI 2020: 5545-5552 - [c21]Mohammad Rostami, Karthik Sundaresan, Eugene Chai, Sampath Rangarajan, Deepak Ganesan:
Redefining passive in backscattering with commodity devices. MobiCom 2020: 3:1-3:13 - [i14]Mohammad Rostami, Aram Galstyan:
Sequential Unsupervised Domain Adaptation through Prototypical Distributions. CoRR abs/2007.00197 (2020) - [i13]Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Continual Semantic Segmentation. CoRR abs/2009.12518 (2020) - [i12]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. CoRR abs/2010.12144 (2020)
2010 – 2019
- 2019
- [j12]Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. 11(11): 1374 (2019) - [c20]Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton 2019: 352-359 - [c19]Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops 2019: 907-915 - [c18]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Explainability Methods for Graph Convolutional Neural Networks. CVPR 2019: 10772-10781 - [c17]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI 2019: 3339-3345 - [i11]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR abs/1903.04566 (2019) - [i10]Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly:
Generative Continual Concept Learning. CoRR abs/1906.03744 (2019) - [i9]Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim:
Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR abs/1906.10509 (2019) - [i8]Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR abs/1907.02271 (2019) - 2018
- [c16]Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. AAAI 2018: 3431-3439 - [c15]Mohammad Rostami, Eric Eaton:
Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. AAAI 2018: 8145-8146 - [c14]Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton:
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS 2018: 712-720 - [c13]Mohammad Rostami, David J. Huber, Tsai-Ching Lu:
A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys 2018: 377-381 - [c12]Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan:
Polymorphic radios: a new design paradigm for ultra-low power communication. SIGCOMM 2018: 446-460 - [i7]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR abs/1812.00265 (2018) - 2017
- [j11]Hamed Kazemi, Mohammad Mahdavi Mazdeh, Mohammad Rostami:
The two stage assembly flow-shop scheduling problem with batching and delivery. Eng. Appl. Artif. Intell. 63: 98-107 (2017) - [j10]Mohammad Rostami, Morteza Bagherpour, Mohammad Mahdavi Mazdeh, Ahmad Makui:
Resource Pool Location for Periodic Services in Decentralized Multi-Project Scheduling Problems. J. Comput. Civ. Eng. 31(5) (2017) - [c11]Mohammad Rostami:
Transfer of Knowledge through Collective Learning. AAAI 2017: 5050-5051 - [i6]Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. CoRR abs/1709.03688 (2017) - [i5]Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton:
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR abs/1709.05412 (2017) - [i4]David Isele, Mohammad Rostami, Eric Eaton:
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR abs/1710.03850 (2017) - 2016
- [c10]Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung:
Efficient Environmental Temperature Monitoring Using Compressed Sensing. DCC 2016: 602 - [c9]David Isele, Mohammad Rostami, Eric Eaton:
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. IJCAI 2016: 1620-1626 - [c8]Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento:
Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. IPDPS Workshops 2016: 835-844 - [c7]Pengyu Zhang, Mohammad Rostami, Pan Hu, Deepak Ganesan:
Enabling Practical Backscatter Communication for On-body Sensors. SIGCOMM 2016: 370-383 - [c6]Pan Hu, Pengyu Zhang, Mohammad Rostami, Deepak Ganesan:
Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets. SIGCOMM 2016: 384-397 - [i3]Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento:
Testing fine-grained parallelism for the ADMM on a factor-graph. CoRR abs/1603.02526 (2016) - [i2]Mohammad Rostami, Zhou Wang:
Image Super-Resolution Based on Sparsity Prior via Smoothed l0 Norm. CoRR abs/1603.06680 (2016) - 2015
- [j9]Mohammad Rostami, Amir Ebrahimzadeh Pilerood, Mohammad Mahdavi Mazdeh:
Multi-objective parallel machine scheduling problem with job deterioration and learning effect under fuzzy environment. Comput. Ind. Eng. 85: 206-215 (2015) - [j8]Mohammad Rostami, Mohammad Haeri:
Undamped oscillations in fractional-order Duffing oscillator. Signal Process. 107: 361-367 (2015) - [j7]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing. IEEE Trans. Image Process. 24(5): 1628-1638 (2015) - [j6]Hojatollah Yeganeh, Mohammad Rostami, Zhou Wang:
Objective Quality Assessment of Interpolated Natural Images. IEEE Trans. Image Process. 24(11): 4651-4663 (2015) - 2013
- [b1]Mohammad Rostami:
Compressed Sensing with Side Information on the Feasible Region. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-3-319-00365-8, pp. i-xiii, 1-69 - [j5]Mohammad Mahdavi Mazdeh, Mohammad Rostami, Mohammad Hossein Namaki:
Minimizing maximum tardiness and delivery costs in a batched delivery system. Comput. Ind. Eng. 66(4): 675-682 (2013) - [j4]Mohammad Rostami, Mohammad Haeri:
Study of Limit Cycles and Stability Analysis of Fractional Arneodo Oscillator. J. Optim. Theory Appl. 156(1): 68-78 (2013) - [c5]Mohammad Rostami, Ngai-Man Cheung, Tony Q. S. Quek:
Compressed sensing of diffusion fields under heat equation constraint. ICASSP 2013: 4271-4274 - 2012
- [j3]Abdul Rehman, Mohammad Rostami, Zhou Wang, Dominique Brunet, Edward R. Vrscay:
SSIM-inspired image restoration using sparse representation. EURASIP J. Adv. Signal Process. 2012: 16 (2012) - [j2]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. IEEE Trans. Image Process. 21(7): 3139-3149 (2012) - [c4]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Gradient-based surface reconstruction using compressed sensing. ICIP 2012: 913-916 - [c3]Hojatollah Yeganeh, Mohammad Rostami, Zhou Wang:
Objective quality assessment for image super-resolution: A natural scene statistics approach. ICIP 2012: 1481-1484 - 2011
- [j1]Reza Khosravi-Farsani, Mohammad Rostami:
Two-Way Writing on Dirty Paper. IEEE Commun. Lett. 15(7): 689-691 (2011) - [c2]Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray:
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. IJCNN 2011: 2733-2740 - [i1]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. CoRR abs/1107.5790 (2011) - 2010
- [c1]Saeed Masoudnia, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour:
Evidence-based mixture of MLP-experts. IJCNN 2010: 1-7
Coauthor Index
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