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ORCIDReza Monsefi
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2020 – today
- 2024
[j33]Seyed Hesamoddin Hosseini
, Reza Monsefi, Shabnam Shadroo:
Deep learning applications for lung cancer diagnosis: A systematic review. Multim. Tools Appl. 83(5): 14305-14335 (2024)- [j32]Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei:
Neural Generalization of Multiple Kernel Learning. Neural Process. Lett. 56(1): 12 (2024) - [j31]Zahra Mehravaran, Javad Hamidzadeh, Reza Monsefi:
Feature selection based on correlation label and B-R belief function (FSCLBF) in multi-label data. Soft Comput. 28(2): 1445-1457 (2024) - 2023
- [j30]Karrar Al-Kaabi, Reza Monsefi, Davood Zabihzadeh:
A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks. Appl. Intell. 53(8): 8693-8711 (2023) - [j29]Mona Moradi, Javad Hamidzadeh, Reza Monsefi:
ABT-SVDD: A method for uncertainty handling in domain adaptation using belief function theory. Appl. Soft Comput. 147: 110787 (2023) - [j28]Mona Moradi, Mohammad Rahmanimanesh, Ali Shahzadi, Reza Monsefi:
Smooth unsupervised domain adaptation considering uncertainties. Inf. Sci. 648: 119602 (2023) - 2022
- [j27]Saeedeh Eslami, Reza Monsefi, Mohammad Akbari:
Learning a Unified Latent Space for NAS: Toward Leveraging Structural and Symbolic Information. IEEE Access 10: 102945-102956 (2022) - [i11]Hesamoddin Hosseini, Reza Monsefi, Shabnam Shadroo:
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review. CoRR abs/2201.00227 (2022) - [i10]Ali Mousavi, Reza Monsefi, Víctor Elvira:
Hamiltonian Adaptive Importance Sampling. CoRR abs/2209.13716 (2022) - 2021
- [j26]Ali Mousavi, Reza Monsefi, Víctor Elvira:
Hamiltonian Adaptive Importance Sampling. IEEE Signal Process. Lett. 28: 713-717 (2021) - [c9]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML 2021: 1-16 - [i9]Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei:
Neural Generalization of Multiple Kernel Learning. CoRR abs/2102.13337 (2021) - [i8]Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini:
Accurate and fast matrix factorization for low-rank learning. CoRR abs/2104.10785 (2021) - [i7]Karrar Al-Kaabi, Reza Monsefi, Davood Zabihzadeh:
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks. CoRR abs/2106.06420 (2021) - [i6]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR abs/2108.11019 (2021) - 2020
- [j25]Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Reza Monsefi:
An Effective Semi-fragile Watermarking Method for Image Authentication Based on Lifting Wavelet Transform and Feed-Forward Neural Network. Cogn. Comput. 12(4): 863-890 (2020) - [j24]Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi, Hadi Sadoghi Yazdi:
Combination of loss functions for deep text classification. Int. J. Mach. Learn. Cybern. 11(4): 751-761 (2020)
2010 – 2019
- 2019
- [j23]Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi:
relf: robust regression extended with ensemble loss function. Appl. Intell. 49(4): 1437-1450 (2019) - [j22]Davood Zabihzadeh, Reza Monsefi, Hadi Sadoghi Yazdi:
Sparse Bayesian approach for metric learning in latent space. Knowl. Based Syst. 178: 11-24 (2019) - [c8]Hamideh Hajiabadi, Reza Godaz, Morteza Ghasemi, Reza Monsefi:
Layered Geometric Learning. ICAISC (1) 2019: 571-582 - [i5]Sumia Abdulhussien Razooqi Al-Obaidi, Davood Zabihzadeh, Ali Salim Rasheed, Reza Monsefi:
Robust Metric Learning based on the Rescaled Hinge Loss. CoRR abs/1904.11711 (2019) - 2018
- [j21]Davood Zabihzadeh, Reza Monsefi, Hadi Sadoghi Yazdi:
Sparse Bayesian similarity learning based on posterior distribution of data. Eng. Appl. Artif. Intell. 67: 173-186 (2018) - [j20]Nima Salehi-Moghaddami, Reza Monsefi, Hadi Sadoghi Yazdi:
Sparse online feature maps. Knowl. Based Syst. 151: 62-77 (2018) - [j19]Mohammad Reza Mohammadnia-Qaraei, Reza Monsefi, Kamaledin Ghiasi-Shirazi:
Convolutional kernel networks based on a convex combination of cosine kernels. Pattern Recognit. Lett. 116: 127-134 (2018) - [i4]Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Reza Monsefi:
TRLF: An Effective Semi-fragile Watermarking Method for Tamper Detection and Recovery based on LWT and FNN. CoRR abs/1802.07119 (2018) - [i3]Baida Hamdan, Davood Zabihzadeh, Reza Monsefi:
Large Scale Local Online Similarity/Distance Learning Framework based on Passive/Aggressive. CoRR abs/1804.01900 (2018) - [i2]Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi:
RELF: Robust Regression Extended with Ensemble Loss Function. CoRR abs/1810.11071 (2018) - 2017
- [j18]Mojtaba Nayyeri, Alaleh Maskooki, Reza Monsefi:
A New Sparse Learning Machine. Neural Process. Lett. 46(1): 15-28 (2017) - [c7]Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi:
On Extending Neural Networks with Loss Ensembles for Text Classification. ALTA 2017: 98-102 - [i1]Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi:
On Extending Neural Networks with Loss Ensembles for Text Classification. CoRR abs/1711.05170 (2017) - 2016
- [j17]Javad Hamidzadeh, Reza Monsefi, Hadi Sadoghi Yazdi:
Large symmetric margin instance selection algorithm. Int. J. Mach. Learn. Cybern. 7(1): 25-45 (2016) - 2015
- [j16]Javad Hamidzadeh, Reza Monsefi, Hadi Sadoghi Yazdi:
IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering. Pattern Recognit. 48(5): 1878-1889 (2015) - 2014
- [j15]Javad Hamidzadeh, Reza Monsefi, Hadi Sadoghi Yazdi:
LMIRA: Large Margin Instance Reduction Algorithm. Neurocomputing 145: 477-487 (2014) - [j14]Hadi Sadoghi Yazdi, Mohammad GhasemiGol, Sohrab Effati, Azam Jiriani, Reza Monsefi:
Hierarchical tree clustering of fuzzy number. J. Intell. Fuzzy Syst. 26(2): 541-550 (2014) - [j13]Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi:
Online neural network model for non-stationary and imbalanced data stream classification. Int. J. Mach. Learn. Cybern. 5(1): 51-62 (2014) - 2013
- [j12]Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi:
Recursive least square perceptron model for non-stationary and imbalanced data stream classification. Evol. Syst. 4(2): 119-131 (2013) - [j11]Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi:
Ensemble of online neural networks for non-stationary and imbalanced data streams. Neurocomputing 122: 535-544 (2013) - [j10]Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi:
Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams. Neural Comput. Appl. 23(5): 1283-1295 (2013) - [j9]H. Abbassi, Reza Monsefi, Hadi Sadoghi Yazdi:
Constrained classifier: a novel approach to nonlinear classification. Neural Comput. Appl. 23(7-8): 2367-2377 (2013) - [j8]Nazbanoo Farzaneh, Reza Monsefi, Mohammad Hossein Yaghmaee, Amir Hossein Mohajerzadeh:
A novel congestion control protocol with AQM support for IP-based networks. Telecommun. Syst. 52(1): 229-244 (2013) - 2012
- [j7]Gholam Hossein Ekbatani Fard, Reza Monsefi, Mohammad Hossien Yaghmaee, Seyed-Amin Hosseini-Seno:
Queen-MAC: A quorum-based energy-efficient medium access control protocol for wireless sensor networks. Comput. Networks 56(8): 2221-2236 (2012) - [j6]Gholam Hossein Ekbatani Fard, Reza Monsefi:
A Detailed Review of Multi-Channel Medium Access Control Protocols for Wireless Sensor Networks. Int. J. Wirel. Inf. Networks 19(1): 1-21 (2012) - [j5]Javad Hamidzadeh, Reza Monsefi, Hadi Sadoghi Yazdi:
DDC: distance-based decision classifier. Neural Comput. Appl. 21(7): 1697-1707 (2012) - 2011
- [j4]Morteza Maghrebi, Ali Abbasi, Saeid Amiri, Reza Monsefi, Ahad Harati:
A collective and abridged lexical query for delineation of nanotechnology publications. Scientometrics 86(1): 15-25 (2011) - [c6]Gholam Hossein Ekbatani Fard, Reza Monsefi:
MAMAC: A Multi-channel Asynchronous MAC Protocol for Wireless Sensor Networks. BWCCA 2011: 91-98 - 2010
- [j3]Gholam Hossein Ekbatani Fard, Mohammad Hossien Yaghmaee, Reza Monsefi:
A QoS-Based Multichannel MAC Protocol for Two-Tiered Wireless Multimedia Sensor Networks. Int. J. Commun. Netw. Syst. Sci. 3(7): 625-630 (2010) - [j2]Mohammad GhasemiGol, Reza Monsefi, Hadi Sadoghi Yazdi:
Intrusion Detection by Ellipsoid Boundary. J. Netw. Syst. Manag. 18(3): 265-282 (2010) - [c5]Amir Hossein Mohajerzadeh, Mohammad Hossein Yaghmaee, Reza Monsefi:
A QoS based data dissemination protocol for wireless multimedia sensor networks. IWACI 2010: 670-675
2000 – 2009
- 2009
- [c4]Mohammad GhasemiGol, Reza Monsefi, Hadi Sadoghi Yazdi:
Ellipse Support Vector Data Description. EANN 2009: 257-268 - [c3]Mohammad GhasemiGol, Mostafa Sabzekar, Reza Monsefi, Hadi Sadoghi Yazdi:
A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts. IC-AI 2009: 210-216 - [c2]Gholam Hossein Ekbatani Fard, Mohammad Hossien Yaghmaee Moghaddam, Reza Monsefi:
An adaptive Cross-Layer multichannel QoS-MAC protocol for cluster based wireless multimedia sensor networks. ICUMT 2009: 1-6 - 2008
- [c1]Yasser Mansouri, Reza Monsefi:
Optimal Number of Replicas with QoS Assurance in Data Grid Environment. Asia International Conference on Modelling and Simulation 2008: 168-173 - 2007
- [j1]Mahmood Amintoosi, Hadi Sadoghi Yazdi, Mahmood Fathy, Reza Monsefi:
Using pattern matching for tiling and packing problems. Eur. J. Oper. Res. 183(3): 950-960 (2007)
Coauthor Index
aka: Mohammad Hossien Yaghmaee Moghaddam
aka: Mohammad Hossein Yaghmaee
aka: Mohammad Hossien Yaghmaee
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