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- 2024
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Mark
Necrorobotics: The Ethics of Resurrecting the Dead
2024) p.121-138(
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Factors most strongly associated with breathlessness in a population aged 50–64 years
(
- Contribution to journal › Article
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Mark
Data-driven Train Delay Prediction
2024)(
- Thesis › Doctoral thesis (compilation)
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Mark
Benchmarking performance through efficiency analysis trees : Improvement strategies for colombian higher education institutions
(
- Contribution to journal › Article
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Mark
Using machine learning to develop customer insights from user-generated content
(
- Contribution to journal › Article
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Predicting type 2 diabetes via machine learning integration of multiple omics from human pancreatic islets
(
- Contribution to journal › Article
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Mark
Smart real-time evaluation of tunnel fire risk and evacuation safety via computer vision
(
- Contribution to journal › Article
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Epidemiology and evaluation of breathlessness - A data-driven approach
2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Toward Gaze-enabled Programming Tool Assistance
2024)(
- Thesis › Licentiate thesis
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Mark
Developers’ Perspective on Today’s and Tomorrow’s Programming Tool Assistance: A Survey
2024)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
On the right track? Energy use, carbon emissions, and intensities of world rail transportation, 1840–2020
(
- Contribution to journal › Article
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Mark
Training deep learning based dynamic MR image reconstruction using open-source natural videos
(
- Contribution to journal › Article
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Mark
Big data, machine learning and uncertainty in foresight studies
2024) In Foresight(
- Contribution to journal › Article
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Mark
Impact of extruded mortar joints on the hygrothermal performance of brick veneer walls : A probabilistic study
(
- Contribution to journal › Article
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Mark
Application of multiple spatial interpolation approaches to annual rainfall data in the Wadi Cheliff basin (north Algeria)
(
- Contribution to journal › Article
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Mark
A feasibility study of applying generative deep learning models for map labeling
2024) In Cartography and Geographic Information Science(
- Contribution to journal › Article
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Mark
AlphaML : A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
(
- Contribution to journal › Article
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Mark
A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models
2024) 8th International Conference on Engineering of Computer-Based Systems, ECBS 2023 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14390 LNCS. p.259-262(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Coupling Downscaling and Calibrating Methods for Generating High-Quality Precipitation Data with Multisource Satellite Data in the Yellow River Basin
(
- Contribution to journal › Article
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Mark
Ultrasensitive sequencing of STR markers utilizing unique molecular identifiers and the SiMSen-Seq method
(
- Contribution to journal › Article
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Mark
Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau : Exploratory and Validation Cohort Study
(
- Contribution to journal › Article
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Mark
Very short sleep duration reveals a proteomic fingerprint that is selectively associated with incident diabetes mellitus but not with incident coronary heart disease : a cohort study
(
- Contribution to journal › Article
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Mark
Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach
(
- Contribution to journal › Article
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Mark
Machine learning evaluation for identification of M-proteins in human serum
(
- Contribution to journal › Article
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Mark
Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √s = 13 TeV with the ATLAS Detector
(
- Contribution to journal › Article
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Mark
Machine Learning Regression Analyses of Intensity Modulation Two-Photon Microscopy (ml-IM2PM) in Perovskite Microcrystals
(
- Contribution to journal › Article
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Mark
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
2024) In Clinical Physiology and Functional Imaging(
- Contribution to journal › Article
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Mark
Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning
(
- Contribution to journal › Article
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Mark
Machine learning in cartography
(
- Contribution to journal › Debate/Note/Editorial
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Mark
An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators
(
- Contribution to journal › Article
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Mark
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study
(
- Contribution to journal › Article
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Mark
Efficacy assessment of an active tau immunotherapy in Alzheimer's disease patients with amyloid and tau pathology : a post hoc analysis of the “ADAMANT” randomised, placebo-controlled, double-blind, multi-centre, phase 2 clinical trial
(
- Contribution to journal › Article
- 2023
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Mark
Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea
(
- Contribution to journal › Article
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Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
(
- Contribution to journal › Article
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Mark
Machine-Learning Approach to Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Cultivation
(
- Contribution to journal › Article
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Mark
AI-Driven Drug Response Prediction for Personalized Cancer Medicine
(
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Convergence and stability analysis of stochastic optimization algorithms
(
- Thesis › Licentiate thesis
-
Mark
Soft computing assessment of current and future groundwater resources under CMIP6 scenarios in northwestern Iran
(
- Contribution to journal › Article
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Mark
Identify novel elements of knowledge with word embedding
(
- Contribution to journal › Article
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Mark
Requirements Engineering for Automotive Perception Systems : An Interview Study
2023) 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023 In Lecture Notes in Computer Science 13975 LNCS. p.189-205(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
The Text-Package : An R-Package for Analyzing and Visualizing Human Language Using Natural Language Processing and Transformers
(
- Contribution to journal › Article
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Mark
The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer’s disease : a natural language processing study
(
- Contribution to journal › Article
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Mark
Recognition of drilling-induced defects in Fiber Reinforced Polymers using Machine Learning
2023) 19th CIRP Conference on Modeling of Machining Operations, CMMO 2023 In Procedia CIRP 117. p.384-389(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm
(
- Contribution to journal › Article
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Mark
Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning
(
- Contribution to journal › Article
-
Mark
Machine learning-assisted macro simulation for yard arrival prediction
(
- Contribution to journal › Article
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Mark
Data Analysis in High-Energy Physics as a Differentiable Program
2023)(
- Thesis › Doctoral thesis (monograph)
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Mark
On the Challenges of Software Performance Optimization with Statistical Methods
2023)(
- Thesis › Doctoral thesis (compilation)
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Mark
On the Utility of Representation Learning Algorithms for Myoelectric Interfacing
2023)(
- Thesis › Doctoral thesis (compilation)
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Mark
From senses to sensors : autonomous cars and probing what machine learning does to mobilities studies
(
- Contribution to journal › Article