83 citations · 232 across the 26 of their papers we have counts for
28 papers
Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation
Mohammad Mahdi Dehshibi
Continuous optimisation methods need to balance sharing information and maintaining alternative search directions. In this paper, we introduce Mycelial Search (Myco), a graph-struc…
Context-Aware Mixture of Domain Experts for Bodily Expression of Emotion in the Wild
Mohammad Mahdi Dehshibi, David Masip
The same body posture can convey entirely different emotions depending on its surrounding context, yet most methods for recognising bodily emotions treat scene and object cues as a…
EigenCoin: sassanid coins classification based on Bhattacharyya distance
Rahele Allahverdi, Mohammad Mahdi Dehshibi, Azam Bastanfard +1
Solving pattern recognition problems using imbalanced databases is a hot topic, which entices researchers to bring it into focus. Therefore, we consider this problem in the applica…
When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes
Freek Hens, Amirhossein Sadough, Aleksa Bokšan +2
Surface electromyography (sEMG) sensors are widely used in human-computer interaction, yet the failure of a single sensor can compromise system usability. We propose a methodologic…
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter +2
Knowledge distillation (KD) remains challenging due to the opaque nature of the knowledge transfer process from a Teacher to a Student, making it difficult to address certain issue…
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye +2
This paper presents the first application of spiking neural networks (SNNs) for the classification of chronic lower back pain (CLBP) using the EmoPain dataset. Our work has two mai…
L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection
Jorge Ortigoso-Narro, Fernando Diaz-de-Maria, Mohammad Mahdi Dehshibi +1
Chronic Low Back Pain (CLBP) afflicts millions globally, significantly impacting individuals' well-being and imposing economic burdens on healthcare systems. While artificial intel…
SoniWeight Shoes: Investigating Effects and Personalization of a Wearable Sound Device for Altering Body Perception and Behavior
A. D'Adamo, M. Roel-Lesur, L. Turmo-Vidal +6
Changes in body perception influence behavior and emotion and can be induced through multisensory feedback. Auditory feedback to one's actions can trigger such alterations; however…
Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging
Mona Ashtari-Majlan, David Masip
Glaucoma, a leading cause of irreversible blindness, necessitates early detection for accurate and timely intervention to prevent irreversible vision loss. In this study, we presen…
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions
Mohammad Mahdi Dehshibi, David Masip
In this study, we investigate how environmental factors, specifically the scenes and objects involved, can affect the expression of emotions through body language. To this end, we…
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
Glaucoma is the leading cause of irreversible blindness worldwide and poses significant diagnostic challenges due to its reliance on subjective evaluation. However, recent advances…
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-de-Maria +2
There is a growing body of studies on applying deep learning to biometrics analysis. Certain circumstances, however, could impair the objective measures and accuracy of the propose…
Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0
Max Talanov, Jordi Vallverdu, Andrew Adamatzky +18
This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon h…
A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer's disease using structural MRI images
Mona Ashtari-Majlan, Abbas Seifi, Mohammad Mahdi Dehshibi
Early diagnosis of Alzheimer's disease and its prodromal stage, also known as mild cognitive impairment (MCI), is critical since some patients with progressive MCI will develop the…
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane +1
To equip Convolutional Neural Networks (CNNs) with explainability, it is essential to interpret how opaque models take specific decisions, understand what causes the errors, improv…
Fungal electronics
Andrew Adamatzky, Phil Ayres, Alexander E. Beasley +11
Fungal electronics is a family of living electronic devices made of mycelium bound composites or pure mycelium. Fungal electronic devices are capable of changing their impedance an…
A deep convolutional neural network for classification of Aedes albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen sc…
On the use of uncertainty in classifying Aedes Albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of people each year, has been attributed to increased human population, migration, and environm…
On stimulating fungi with Cortisol
Mohammad Mahdi Dehshibi, Alessandro Chiolerio, Anna Nikolaidou +4
Fungi cells are capable of sensing extracellular cues through reception, transduction and response systems which allow them to communicate with their host and adapt to their enviro…
Reactive fungal wearable
Andrew Adamatzky, Anna Nikolaidou, Antoni Gandia +2
Smart wearables sense and process information from the user's body and environment and report results of their analysis as electrical signals. Conventional electronic sensors and c…
Electrical activity of fungi: Spikes detection and complexity analysis
Mohammad Mahdi Dehshibi, Andrew Adamatzky
Oyster fungi \emph{Pleurotus djamor} generate actin potential like spikes of electrical potential. The trains of spikes might manifest propagation of growing mycelium in a substrat…
A supervised active learning method for identifying critical nodes in Wireless Sensor Network
Behnam Ojaghi, Mohammad Mahdi Dehshibi
Energy Efficiency of a wireless sensor network (WSN) relies on its main characteristics, including hop-number, user's location, allocated power, and relay. Identifying nodes, which…
Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems
Mohammad Fazlali, Sara Moazezi Eftekhar, Mohammad Mahdi Dehshibi +2
One of the significant problem in peer-to-peer databases is collision problem. These databases do not rely on a central leader that is a reason to increase scalability and fault to…
VICSOM: VIsual Clues from SOcial Media for psychological assessment
Mohammad Mahdi Dehshibi, Gerard Pons, Bita Baiani +1
Sharing multimodal information (typically images, videos or text) in Social Network Sites (SNS) occupies a relevant part of our time. The particular way how users expose themselves…