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ORCIDMohammad Mahdi Dehshibi
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2020 – today
- 2024
[j25]Mona Ashtari-Majlan
, Mohammad Mahdi Dehshibi, David Masip:
Glaucoma diagnosis in the era of deep learning: A survey. Expert Syst. Appl. 256: 124888 (2024)- [j24]Behnam Ojaghi, Mohammad Mahdi Dehshibi, Angelos Antonopoulos:
A supervised active learning method for identifying critical nodes in IoT networks. J. Supercomput. 80(12): 16775-16794 (2024) - [j23]Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip:
ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks. Vis. Comput. 40(8): 5407-5419 (2024) - [c17]Amar D'Adamo, Marte Roel Lesur, Laia Turmo Vidal, Mohammad Mahdi Dehshibi, Daniel De La Prida, Joaquín R. Díaz Durán, Luis Antonio Azpicueta-Ruiz, Aleksander Väljamäe, Ana Tajadura-Jiménez:
SoniWeight Shoes: Investigating Effects and Personalization of a Wearable Sound Device for Altering Body Perception and Behavior. CHI 2024: 93:1-93:20 - [i23]Mohammad Mahdi Dehshibi, David Masip:
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions. CoRR abs/2402.13955 (2024) - [i22]Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip:
Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging. CoRR abs/2403.05702 (2024) - [i21]Amar D'Adamo, Marte Roel Lesur, Laia Turmo Vidal, Mohammad Mahdi Dehshibi, Daniel De La Prida, Joaquín R. Díaz Durán, Luis Antonio Azpicueta-Ruiz, Aleksander Väljamäe, Ana Tajadura-Jiménez:
SoniWeight Shoes: Investigating Effects and Personalization of a Wearable Sound Device for Altering Body Perception and Behavior. CoRR abs/2403.06651 (2024) - [i20]Jorge Ortigoso-Narro, Fernando Díaz-de-María, Mohammad Mahdi Dehshibi, Ana Tajadura-Jiménez:
L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection. CoRR abs/2406.16913 (2024) - [i19]Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Mahyar Shahsavari, Ana Tajadura-Jiménez:
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data. CoRR abs/2407.08362 (2024) - 2023
- [j22]Mohammad Mahdi Dehshibi, Temitayo A. Olugbade, Fernando Díaz-de-María, Nadia Bianchi-Berthouze, Ana Tajadura-Jiménez:
Pain Level and Pain-Related Behaviour Classification Using GRU-Based Sparsely-Connected RNNs. IEEE J. Sel. Top. Signal Process. 17(3): 677-688 (2023) - [j21]Mohammad Mahdi Dehshibi, Bita Baiani, Gerard Pons, David Masip:
A Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile. IEEE Trans. Affect. Comput. 14(2): 944-956 (2023) - [c16]Laia Turmo Vidal, José Manuel Vega-Cebrián, Amar D'Adamo, Marte Roel Lesur, Mohammad Mahdi Dehshibi, Joaquín Díaz Durán, Ana Tajadura-Jiménez:
On Futuring Body Perception Transformation Technologies: Roles, Goals and Values. MindTrek 2023: 169-181 - [p4]Mohammad Mahdi Dehshibi, Andrew Adamatzky:
Complexity of Electrical Spiking of Fungi. Fungal Machines 2023: 33-60 - [p3]Andrew Adamatzky, Anna Nikolaidou, Antoni Gandia, Alessandro Chiolerio, Mohammad Mahdi Dehshibi:
Reactive Fungal Wearable. Fungal Machines 2023: 93-104 - [p2]Mohammad Mahdi Dehshibi, Alessandro Chiolerio, Anna Nikolaidou, Richard Mayne, Antoni Gandia, Mona Ashtari-Majlan, Andrew Adamatzky:
On Stimulating Fungi Pleurotus Ostreatus with Hydrocortisone. Fungal Machines 2023: 105-121 - [i18]Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip:
Deep Learning and Computer Vision for Glaucoma Detection: A Review. CoRR abs/2307.16528 (2023) - 2022
- [j20]Andrew Adamatzky, Phil Ayres, Alexander E. Beasley, Alessandro Chiolerio, Mohammad Mahdi Dehshibi, Antoni Gandia, Elena Albergati, Richard Mayne, Anna Nikolaidou, Nic Roberts, Martin Tegelaar, Michail-Antisthenis I. Tsompanas, Neil Phillips, Han A. B. Wösten:
Fungal electronics. Biosyst. 212: 104588 (2022) - [j19]Alessandro Chiolerio, Mohammad Mahdi Dehshibi, Diego Manfredi, Andrew Adamatzky:
Living wearables: Bacterial reactive glove. Biosyst. 218: 104691 (2022) - [j18]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes. IEEE J. Sel. Top. Signal Process. 16(2): 224-233 (2022) - [j17]Alessandro Chiolerio, Mohammad Mahdi Dehshibi, Giuseppe Vitiello, Andrew Adamatzky:
Molecular Collective Response and Dynamical Symmetry Properties in Biopotentials of Superior Plants: Experimental Observations and Quantum Field Theory Modeling. Symmetry 14(9): 1792 (2022) - [j16]Mona Ashtari-Majlan, Abbas Seifi, Mohammad Mahdi Dehshibi:
A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer's Disease Using Structural MRI Images. IEEE J. Biomed. Health Informatics 26(8): 3918-3926 (2022) - [c15]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training. COINS 2022: 1-5 - [c14]Dana Alsagheer, Hadi Mansourifar, Mohammad Mahdi Dehshibi, Weidong Shi:
Detecting Hate Speech Against Athletes in Social Media. IDSTA 2022: 75-81 - [i17]Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip:
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks. CoRR abs/2203.01289 (2022) - [i16]Mona Ashtari-Majlan, Abbas Seifi, Mohammad Mahdi Dehshibi:
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images. CoRR abs/2203.01944 (2022) - [i15]Max Talanov, Jordi Vallverdú, Andrew Adamatzky, Alexander S. Toschev, Alina Suleimanova, Alexey Leukhin, Ann Posdeeva, Yulia Mikhailova, Alice Rodionova, Alexey N. Mikhaylov, Alexander Serb, Sergey Shchanikov, Svetlana A. Gerasimova, Mohammad Mahdi Dehshibi, Alexander E. Hramov, Victor B. Kazantsev, Tatyana Tsoy, Evgeni Magid, Igor Lavrov, Victor Erokhin, Kevin Warwick:
Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0. CoRR abs/2205.06538 (2022) - [i14]Mohammad Mahdi Dehshibi, Temitayo A. Olugbade, Fernando Díaz-de-María, Nadia Bianchi-Berthouze, Ana Tajadura-Jiménez:
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs. CoRR abs/2212.14806 (2022) - 2021
- [j15]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes. IEEE Access 9: 72681-72690 (2021) - [j14]Andrew Adamatzky, Anna Nikolaidou, Antoni Gandia, Alessandro Chiolerio, Mohammad Mahdi Dehshibi:
Reactive fungal wearable. Biosyst. 199: 104304 (2021) - [j13]Mohammad Mahdi Dehshibi, Andrew Adamatzky:
Electrical activity of fungi: Spikes detection and complexity analysis. Biosyst. 203: 104373 (2021) - [i13]Mohammad Mahdi Dehshibi, Alessandro Chiolerio, Anna Nikolaidou, Richard Mayne, Antoni Gandia, Mona Ashtari, Andrew Adamatzky:
On stimulating fungi Pleurotus ostreatus with Cortisol. CoRR abs/2106.00837 (2021) - [i12]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
On the use of uncertainty in classifying Aedes Albopictus mosquitoes. CoRR abs/2110.15912 (2021) - [i11]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
A deep convolutional neural network for classification of Aedes albopictus mosquitoes. CoRR abs/2110.15956 (2021) - [i10]Andrew Adamatzky, Phil Ayres, Alexander E. Beasley, Alessandro Chiolerio, Mohammad Mahdi Dehshibi, Antoni Gandia, Elena Albergati, Richard Mayne, Anna Nikolaidou, Nic Roberts, Martin Tegelaar, Michail-Antisthenis I. Tsompanas, Neil Phillips, Han A. B. Wösten:
Fungal electronics. CoRR abs/2111.11231 (2021) - 2020
- [j12]Neda Gholami, Mohammad Mahdi Dehshibi, Andrew Adamatzky, Antonio Rueda-Toicen, Hector Zenil, Mahmood Fazlali, David Masip:
A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach. J. Inf. Process. 28: 161-168 (2020) - [j11]Mohammad Mahdi Dehshibi, Jamshid Shanbehzadeh, Mir Mohsen Pedram:
A robust image-based cryptology scheme based on cellular nonlinear network and local image descriptors. Int. J. Parallel Emergent Distributed Syst. 35(5): 514-534 (2020) - [i9]Behnam Ojaghi Kahjogh, Mohammad Mahdi Dehshibi:
A supervised active learning method for identifying critical nodes in Wireless Sensor Network. CoRR abs/2004.08885 (2020) - [i8]Mohammad Mahdi Dehshibi, Andrew Adamatzky:
Electrical activity of fungi: Spikes detection and complexity analysis. CoRR abs/2008.10276 (2020) - [i7]Andrew Adamatzky, Anna Nikolaidou, Antoni Gandia, Alessandro Chiolerio, Mohammad Mahdi Dehshibi:
Reactive fungal wearable. CoRR abs/2009.05670 (2020)
2010 – 2019
- 2019
- [j10]Mohammad Mahdi Dehshibi, Jamshid Shanbehzadeh:
Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification. Vis. Comput. 35(1): 23-40 (2019) - [p1]Andrew Adamatzky, Mohammad Mahdi Dehshibi:
Exploring Tehran with Excitable Medium. From Parallel to Emergent Computing 2019: 445-488 - [i6]Mohammad Mahdi Dehshibi, Jitka Cejková, Dominik Svara, Andrew Adamatzky:
On complexity of branching droplets in electrical field. CoRR abs/1901.05043 (2019) - [i5]Mohammad Mahdi Dehshibi, Gerard Pons, Bita Baiani, David Masip:
VICSOM: VIsual Clues from SOcial Media for psychological assessment. CoRR abs/1905.06203 (2019) - [i4]Mahmood Fazlali, Sara Moazezi Eftekhar, Mohammad Mahdi Dehshibi, Hadi Tabatabaee Malazi, Masoud Nosrati:
Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems. CoRR abs/1911.01231 (2019) - 2018
- [i3]Andrew Adamatzky, Mohammad Mahdi Dehshibi:
Exploring Tehran with excitable medium. CoRR abs/1807.09023 (2018) - [i2]Neda Gholami, Mohammad Mahdi Dehshibi, Mahmood Fazlali, Antonio Rueda-Toicen, Hector Zenil, Andrew Adamatzky:
On complexity of post-processing in analyzing GATE-driven X-ray spectrum. CoRR abs/1807.09063 (2018) - [i1]Mohammad Mahdi Dehshibi, Jamshid Shanbehzadeh, Mir Mohsen Pedram:
A robust image-based cryptology scheme based on cellular non-linear network and local image descriptors. CoRR abs/1808.03702 (2018) - 2017
- [j9]Seyyedeh-Sahar Parsa, Mohamad Sourizaei, Mohammad Mahdi Dehshibi, Reza Esmaeilzadeh Shateri, Mohammad Reza Parsaei:
Coarse-grained correspondence-based ancient Sasanian coin classification by fusion of local features and sparse representation-based classifier. Multim. Tools Appl. 76(14): 15535-15560 (2017) - [j8]Mohammad Mahdi Dehshibi, Mohamad Sourizaei, Mahmood Fazlali, Omid Talaee, Hossein Samadyar, Jamshid Shanbehzadeh:
A hybrid bio-inspired learning algorithm for image segmentation using multilevel thresholding. Multim. Tools Appl. 76(14): 15951-15986 (2017) - 2016
- [j7]Nassim Taghipour, Hamid Haj Seyyed Javadi, Mohammad Mahdi Dehshibi, Andrew Adamatzky:
On Complexity of Persian Orthography: L-Systems Approach. Complex Syst. 25(2) (2016) - [j6]Mahmood Fazlali, Peyman Khodamoradi, Farhad Mardukhi, Masoud Nosrati, Mohammad Mahdi Dehshibi:
Metamorphic malware detection using opcode frequency rate and decision tree. Int. J. Inf. Secur. Priv. 10(3): 67-86 (2016) - 2015
- [j5]Mohammad Mahdi Dehshibi, Ali Shirmohammadi, Andrew Adamatzky:
On Growing Persian Words with L-Systems: Visual Modeling of Neyname. Int. J. Image Graph. 15(3): 1550011:1-1550011:16 (2015) - [c13]Ali Samei, Alireza Tavakoli Targhi, Mohammad Mahdi Dehshibi:
MedLab: Medical laboratory test document analysis using HoG and SVM. ICDIM 2015: 95-98 - [c12]Mohsen Ghorbani, Alireza Tavakoli Targhi, Mohammad Mahdi Dehshibi:
HOG and LBP: Towards a robust face recognition system. ICDIM 2015: 138-141 - [c11]Arezoo Abdollahi, Alireza Tavakoli Targhi, Mohammad Mahdi Dehshibi:
Optimized SIFT: An efficient algorithm for matching medical products images. ICDIM 2015: 160-163 - [c10]Meraj Yousefi, Pouya Zarmehr, Alireza Tavakoli Targhi, Mohammad Mahdi Dehshibi:
Art gallery in hand: Towards creating a mobile application for retrieving painting information. ICDIM 2015: 256-259 - 2014
- [j4]Mohammad Mahdi Dehshibi, Mahmood Fazlali, Jamshid Shanbehzadeh:
Linear principal transformation: toward locating features in N-dimensional image space. Multim. Tools Appl. 72(3): 2249-2273 (2014) - 2013
- [j3]Mohammad Aghaahmadi, Mohammad Mahdi Dehshibi, Azam Bastanfard, Mahmood Fazlali:
Clustering Persian viseme using phoneme subspace for developing visual speech application. Multim. Tools Appl. 65(3): 521-541 (2013) - [c9]Mohammad Mahdi Dehshibi, Amir Vafanezhad, Jamshid Shanbehzadeh:
Kernel-based object tracking using particle filter with incremental Bhattacharyya similarity. HIS 2013: 49-53 - [c8]Mohammad Mahdi Dehshibi, Meysam Alavi, Jamshid Shanbehzadeh:
Kernel-based Persian viseme clustering. HIS 2013: 129-133 - 2012
- [j2]Seyyed Amir Hadi Minoofam, Mohammad Mahdi Dehshibi, Azam Bastanfard, Parvin Eftekhari:
Ad-hoc Ma'qeli Script Generation Using Block Cellular Automata. J. Cell. Autom. 7(4): 321-334 (2012) - [c7]Danial Yazdani, Alireza Arabshahi, Alireza Sepas-Moghaddam, Mohammad Mahdi Dehshibi:
A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach. HIS 2012: 137-142 - [c6]Alireza Sepas-Moghaddam, Alireza Arabshahi, Danial Yazdani, Mohammad Mahdi Dehshibi:
A novel hybrid algorithm for optimization in multimodal Dynamic environments. HIS 2012: 143-148 - [c5]Marjan Ramin, Payam Ahmadvand, Alireza Sepas-Moghaddam, Mohammad Mahdi Dehshibi:
Counting the number of cells in immunocytochemical images using genetic algorithm. HIS 2012: 185-190 - [c4]Mohammad Mahdi Dehshibi, Jamshid Shanbehzadeh, Meysam Alavi:
Facial family similarity recognition using Local Gabor Binary Pattern Histogram Sequence. HIS 2012: 219-224 - 2011
- [c3]Hadi Mansourifar, Mohammad Mahdi Dehshibi, Azam Bastanfard:
Shoulder Point Detection: A Fast Geometric Data Fitting Algorithm. CW 2011: 152-159 - 2010
- [j1]Mohammad Mahdi Dehshibi, Azam Bastanfard:
A new algorithm for age recognition from facial images. Signal Process. 90(8): 2431-2444 (2010) - [c2]Mohammad Mahdi Dehshibi, Azam Bastanfard:
Portability: A New Challenge on Designing Family Image Database. IPCV 2010: 270-276 - [c1]Mohammad Mahdi Dehshibi, Azam Bastanfard, Alireza Abdi Kelishami:
LPT: Eye Features Localizer in an N-Dimensional Image Space. IPCV 2010: 347-352
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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