Marcin Budka
YOU?
Author Swipe
View article: The applications of complex network analysis in aquaculture and capture fisheries: a systematic review of trends, challenges, and future directions
The applications of complex network analysis in aquaculture and capture fisheries: a systematic review of trends, challenges, and future directions Open
View article: Towards the Automation of Last Planner System ®
Towards the Automation of Last Planner System ® Open
View article: Predicting spatio-temporal dynamics in aquaculture networks: An extended Katz index approach
Predicting spatio-temporal dynamics in aquaculture networks: An extended Katz index approach Open
View article: Supply network disruption: A framework for assessing vulnerability and implementing resilience strategies
Supply network disruption: A framework for assessing vulnerability and implementing resilience strategies Open
View article: Towards 4D BIM: A Systematic Literature Review on Challenges, Strategies and Tools in Leveraging AI with BIM
Towards 4D BIM: A Systematic Literature Review on Challenges, Strategies and Tools in Leveraging AI with BIM Open
In moving toward the fourth dimension of building information modeling (4D BIM), this study systematically reviews the literature on challenges, strategies, and tools in 4D BIM-related research. To address the limitation of the static natu…
View article: Automatic detection of the lumbar spine using transfer learning for Quantitative Fluoroscopy
Automatic detection of the lumbar spine using transfer learning for Quantitative Fluoroscopy Open
View article: Old and New Approaches in Rock Art: Using Animal Motifs to Identify Palaeohabitats
Old and New Approaches in Rock Art: Using Animal Motifs to Identify Palaeohabitats Open
Humans are well known to have made paintings and engravings on rock surfaces, both geometric motifs with an unclear representation, and representative motifs that refer to their activities and aspects of their environment. This kind of art…
View article: GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool
GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool Open
In the study of reading, eye-tracking technology offers unique insights into the time-course of how individuals extract information from text. A significant hurdle in using multi-line paragraph stimuli is the need to align eye gaze positio…
View article: Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network
Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network Open
In aquaculture, disease spread models often neglect the dynamic interactions between farms, hindering accuracy. This study enhances the Katz index (KI) to incorporate spatial and temporal patterns of fish movement, improving the prediction…
View article: Automatic Detection of the Lumbar Spine using Transfer Learning for Quantitative Fluoroscopy
Automatic Detection of the Lumbar Spine using Transfer Learning for Quantitative Fluoroscopy Open
Quantitative assessment of spinal motion plays a pivotal role in diagnosing and understanding lower back pain. This paper utilises a Convolutional Neural Network for precise landmark localisation of bounding boxes encompassing the lumbar s…
View article: Dual input stream transformer for vertical drift correction in eye-tracking reading data
Dual input stream transformer for vertical drift correction in eye-tracking reading data Open
We introduce a novel Dual Input Stream Transformer (DIST) for the challenging problem of assigning fixation points from eye-tracking data collected during passage reading to the line of text that the reader was actually focused on. This po…
View article: CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition Open
Multilingual speech processing requires understanding emotions, a task made difficult by limited labelled data. CLARA, minimizes reliance on labelled data, enhancing generalization across languages. It excels at fostering shared representa…
View article: A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism
A Model Architecture for Public Transport Networks Using a Combination of a Recurrent Neural Network Encoder Library and a Attention Mechanism Open
This study presents a working concept of a model architecture allowing to leverage the state of an entire transport network to make estimated arrival time (ETA) and next-step location predictions. To this end, a combination of an attention…
View article: SmartStim: A Recurrent Neural Network Assisted Adaptive Functional Electrical Stimulation for Walking
SmartStim: A Recurrent Neural Network Assisted Adaptive Functional Electrical Stimulation for Walking Open
According to the Neuro Patience report of the Neurological Alliance, 1 in 6 people in the UK has a neurological condition. With the growth in technology, rehabilitation for neurological problems is one of the fastgrowing fields. Functional…
View article: An Attention Mechanism Based Prediction Method for Estimation of Arrival Time and Next-Step Position in Urban Traffic Networks
An Attention Mechanism Based Prediction Method for Estimation of Arrival Time and Next-Step Position in Urban Traffic Networks Open
View article: Bus journey simulation to develop public transport predictive algorithms
Bus journey simulation to develop public transport predictive algorithms Open
Encouraging the use of public transport is essential to combat congestion and pollution in an urban environment. To achieve this, the reliability of arrival time prediction should be improved as this is one area of improvement frequently r…
View article: An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease Open
Since the outbreak of Coronavirus Disease 2019 (COVID-19), most of the impacted patients have been diagnosed with high fever, dry cough, and soar throat leading to severe pneumonia. Hence, to date, the diagnosis of COVID-19 from lung imagi…
View article: When is enough, enough? Questions of sampling in vertebrate ichnology
When is enough, enough? Questions of sampling in vertebrate ichnology Open
Sample size is a challenge for most field scientists determined not by the statistically ideal, but by the available. In vertebrate ichnology, track length is an important variable correlating well with the track‐maker’s biology. It is als…
View article: Deep multilabel CNN for forensic footwear impression descriptor identification
Deep multilabel CNN for forensic footwear impression descriptor identification Open
View article: Do readers use character information when programming return-sweep saccades?
Do readers use character information when programming return-sweep saccades? Open
View article: Deep Multilabel CNN for Forensic Footwear Impression Descriptor\n Identification
Deep Multilabel CNN for Forensic Footwear Impression Descriptor\n Identification Open
In recent years deep neural networks have become the workhorse of computer\nvision. In this paper, we employ a deep learning approach to classify footwear\nimpression's features known as \\emph{descriptors} for forensic use cases.\nWithin …
View article: Walking in mud: Remarkable Pleistocene human trackways from White Sands National Park (New Mexico)
Walking in mud: Remarkable Pleistocene human trackways from White Sands National Park (New Mexico) Open
View article: A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems Open
The exponential growth of volume, variety and velocity of data is raising the need for investigations of automated or semi-automated ways to extract useful patterns from the data. It requires deep expert knowledge and extensive computation…
View article: Do readers use character information when programming return-sweep\n saccades?
Do readers use character information when programming return-sweep\n saccades? Open
Reading saccades that occur within a single line of text are guided by the\nsize of letters. However, readers occasionally need to make longer saccades\n(known as return-sweeps) that take their eyes from the end of one line of text\nto the…
View article: Proof of concept for a syndromic surveillance system based on routine ambulance records in the South West of England, for the influenza season 2016/2017
Proof of concept for a syndromic surveillance system based on routine ambulance records in the South West of England, for the influenza season 2016/2017 Open
Introduction: The introduction of electronic patient records in the ambulance service provides new opportunities to monitor the population. Approximately 36% of patients presenting to English ambulance services are discharged at scene. Amb…
View article: Simulation and Augmentation of Social Networks for Building Deep Learning Models
Simulation and Augmentation of Social Networks for Building Deep Learning Models Open
A limitation of the Graph Convolutional Networks (GCNs) is that it assumes at a particular $l^{th}$ layer of the neural network model only the $l^{th}$ order neighbourhood nodes of a social network are influential. Furthermore, the GCN has…
View article: Simulation and Augmentation of Social Networks for Building Deep Learning Models
Simulation and Augmentation of Social Networks for Building Deep Learning Models Open
A limitation of the Graph Convolutional Networks (GCNs) is that it assumes at a particular $l^{th}$ layer of the neural network model only the $l^{th}$ order neighbourhood nodes of a social network are influential. Furthermore, the GCN has…
View article: How to predict social relationships — Physics-inspired approach to link prediction
How to predict social relationships — Physics-inspired approach to link prediction Open
View article: Survey of ETA prediction methods in public transport networks
Survey of ETA prediction methods in public transport networks Open
The majority of public transport vehicles are fitted with Automatic Vehicle Location (AVL) systems generating a continuous stream of data. The availability of this data has led to a substantial body of literature addressing the development…
View article: Enabling Responsible Online Gambling by Real-time Persuasive Technologies
Enabling Responsible Online Gambling by Real-time Persuasive Technologies Open
Online gambling, unlike other offline addiction forms, provides unprecedented opportunities for monitoring users’ behaviour in real-time, along with the ability to adapt persuasive interactions and messages that would match the gamblers us…