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- 2024
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Mark
Necrorobotics: The Ethics of Resurrecting the Dead
2024)(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
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
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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
-
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
Ultrasensitive sequencing of STR markers utilizing unique molecular identifiers and the SiMSen-Seq method
(
- 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 feasibility study of applying generative deep learning models for map labeling
2024) In Cartography and Geographic Information Science(
- Contribution to journal › Article
-
Mark
Data-driven Train Delay Prediction
2024)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Benchmarking performance through efficiency analysis trees : Improvement strategies for colombian higher education institutions
(
- Contribution to journal › Article
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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
-
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
-
Mark
Machine learning in cartography
(
- Contribution to journal › Debate/Note/Editorial
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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
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
- 2023
-
Mark
Injury severity prediction of cyclist crashes using random forests and random parameters logit models
(
- Contribution to journal › Article
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Mark
Breast Cancer Diagnosis Using Extended-Wavelength–Diffuse Reflectance Spectroscopy (EW-DRS) : Proof of Concept in Ex Vivo Breast Specimens Using Machine Learning
(
- Contribution to journal › Article
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Mark
Machine Learning Based Digital Pre-Distortion in Massive MIMO Systems : Complexity-Performance Trade-offs
2023) 2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 In IEEE Wireless Communications and Networking Conference, WCNC 2023-March.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Data Analysis in High-Energy Physics as a Differentiable Program
2023)(
- Thesis › Doctoral thesis (monograph)
-
Mark
Application of soft computing and evolutionary algorithms to estimate hydropower potential in multi-purpose reservoirs
(
- Contribution to journal › Article
-
Mark
Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies
(
- Contribution to journal › Article
-
Mark
Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions
2023) In Working Papers(
- Working paper/Preprint › Working paper
-
Mark
Modeling the choice of shared micro-mobility services using XGBoost machine learning
(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Toward the end-to-end optimization of particle physics instruments with differentiable programming
(
- Contribution to journal › Scientific review
-
Mark
From senses to sensors : autonomous cars and probing what machine learning does to mobilities studies
(
- Contribution to journal › Article
-
Mark
Removing Biases in Communication of Severity Assessments of Intimate Partner Violence : Model Development and Evaluation
(
- Contribution to journal › Article
-
Mark
On the Challenges of Software Performance Optimization with Statistical Methods
2023)(
- Thesis › Doctoral thesis (compilation)
-
Mark
On the Utility of Representation Learning Algorithms for Myoelectric Interfacing
2023)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning : the SCARS model
(
- Contribution to journal › Article
-
Mark
Using machine learning to select variables in data envelopment analysis : Simulations and application using electricity distribution data
(
- Contribution to journal › Article
-
Mark
Machine-Learning Approach to Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Cultivation
(
- Contribution to journal › Article
-
Mark
Yield Prediction for Winter Wheat with Machine Learning Models Using Sentinel-1, Topography, and Weather Data
(
- Contribution to journal › Article
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Mark
Machine learning-assisted macro simulation for yard arrival prediction
(
- Contribution to journal › Article
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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
Soft computing assessment of current and future groundwater resources under CMIP6 scenarios in northwestern Iran
(
- Contribution to journal › Article
-
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
-
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
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
-
Mark
Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm
(
- Contribution to journal › Article
-
Mark
Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children
(
- Contribution to journal › Article
-
Mark
AI-Driven Drug Response Prediction for Personalized Cancer Medicine
(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
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
-
Mark
Evaluating the combined effect of climate and anthropogenic stressors on marine coastal ecosystems : Insights from a systematic review of cumulative impact assessment approaches
(
- Contribution to journal › Scientific review
-
Mark
Development of machine learning models to predict posterior capsule rupture based on the EUREQUO registry
(
- Contribution to journal › Article
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Mark
Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD) : Study Design and Protocol
2023) In Journal of Prevention of Alzheimer's Disease(
- Contribution to journal › Article
-
Mark
Using machine learning to determine acceptable levels of groundwater consumption in Iran
(
- Contribution to journal › Article
-
Mark
Convergence and stability analysis of stochastic optimization algorithms
(
- Thesis › Licentiate thesis
-
Mark
A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
(
- Contribution to journal › Scientific review
-
Mark
A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes
(
- Contribution to journal › Article
-
Mark
Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods
(
- Contribution to journal › Article
-
Mark
Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning
(
- Contribution to journal › Article
-
Mark
Four Facets of AI Transparency
2023) p.445-455(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea
(
- Contribution to journal › Article
-
Mark
PON-Fold : Prediction of Substitutions Affecting Protein Folding Rate
(
- Contribution to journal › Article
-
Mark
Personalized diagnosis in suspected myocardial infarction
(
- Contribution to journal › Article
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Mark
Computational modelling in systems biology: from rewriting cell fates to detecting tumours
2023)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Evaluation of novel data-driven metrics of amyloid β deposition for longitudinal PET studies
(
- Contribution to journal › Article
-
Mark
ChatGPT applications in medical, dental, pharmacy, and public health education : A descriptive study highlighting the advantages and limitations
(
- Contribution to journal › Article
-
Mark
Improving the Efficacy of Enuresis Alarm Treatment through Early Prediction of Treatment Outcome : A Machine Learning Approach
(
- Contribution to journal › Article
-
Mark
Does Climate Change Impact Long-Term Damage Detection in Bridges?
2023) Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2 In Lecture Notes in Civil Engineering 433 LNCE. p.432-440(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
ML-Enabled Outdoor User Positioning in 5G NR Systems via Uplink SRS Channel Estimates
2023) 2023 IEEE International Conference on Communications, ICC 2023 In IEEE International Conference on Communications 2023-May. p.2215-2220(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Multiclass risk models for ovarian malignancy : an illustration of prediction uncertainty due to the choice of algorithm
(
- Contribution to journal › Article
-
Mark
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning : External Validation and Further Model Development
(
- Contribution to journal › Article
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Mark
Data-driven analysis of parametrized acoustic systems in the frequency domain
(
- Contribution to journal › Article
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Multi-fidelity surrogate modeling using long short-term memory networks
(
- Contribution to journal › Article
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Prognosis of compressive strength of fly-ash-based geopolymer-modified sustainable concrete with ML algorithms
(
- Contribution to journal › Article
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Mark
Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders
(
- Contribution to journal › Article
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Mark
Chem2Side : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images
(
- Contribution to journal › Article
-
Mark
Breaking barriers : a statistical and machine learning-based hybrid system for predicting dementia
(
- Contribution to journal › Article
-
Mark
Virtual diagnostics for longitudinal phase space imaging
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
VAI-B : A multicenter platform for the external validation of artificial intelligence algorithms in breast imaging
(
- Contribution to journal › Article
- 2022
-
Mark
Artificial intelligence enabled radio propagation for communications – Part I: Channel characterization and antenna-channel optimization
(
- Contribution to journal › Scientific review
-
Mark
Benchopt : Reproducible, efficient and collaborative optimization benchmarks
2022) 36th Conference on Neural Information Processing Systems, NeurIPS 2022 In Advances in Neural Information Processing Systems 35. p.25404-25421(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A machine learning based approach for predicting usage efficiency of shared e-scooters using vehicle availability data
2022) 25th AGILE Conference on Geographic Information Science In AGILE: GIScience Series, 3, 20, 2022 3.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Feature Reduction and Selection for Use in Machine Learning for Manufacturing
2022) 19th International Conference on Manufacturing Research, ICMR 2022 In Advances in Transdisciplinary Engineering 25. p.289-296(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Safety and usability of wearable accelerometers for stroke detection the STROKE ALARM PRO 1 study
(
- Contribution to journal › Article
-
Mark
Comparing algorithms for assessing upper limb use with inertial measurement units
(
- Contribution to journal › Article
-
Mark
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
(
- Contribution to journal › Scientific review
-
Mark
Converting the genomic knowledge base to build protein specific machine learning prediction models; a classification study on thermophilic serine protease
(
- Contribution to journal › Article
-
Mark
Regeringarna antog förhandlingsmandat för AI-förordningen
(
- Contribution to specialist publication or newspaper › Specialist publication article
-
Mark
Predicting the Solubility of Inorganic Ion Pairs in Water
(
- Contribution to journal › Article
-
Mark
A new strategy for linking U.S. historical censuses : A case study for the IPUMS multigenerational longitudinal panel
(
- Contribution to journal › Article
-
Mark
Automatic Collection Selection using Machine Learning
2022)(
- Thesis › Licentiate thesis
-
Mark
A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer
(
- Contribution to journal › Article
-
Mark
Urban Flood-Risk Assessment : Integration of Decision-Making and Machine Learning
(
- Contribution to journal › Article
-
Mark
Structure of an Ultrathin Oxide on Pt3Sn(111) Solved by Machine Learning Enhanced Global Optimization**
(
- Contribution to journal › Article
-
Mark
Deep Learning for Modelling of Urban Drainage Networks: A Physics-informed Surrogate Model Using Measured and Simulated Data
2022) IWA World Water Congress and Exhibition, 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
(
- Contribution to journal › Article
-
Mark
Optimizing Exposome-wide Assessments in Cardiometabolic Risk
2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Machine Learning based Approach for the Prediction of Surface Integrity in Machining
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
SMIRK : A machine learning-based pedestrian automatic emergency braking system with a complete safety case
(
- Contribution to journal › Article
-
Mark
PON-All : Amino Acid Substitution Tolerance Predictor for All Organisms
(
- Contribution to journal › Article
-
Mark
100 miljoner ord : Reflektioner kring forskningsarbete med storskaliga dataset som historisk empiri
(
- Contribution to journal › Article
-
Mark
Extending GCC-PHAT using Shift Equivariant Neural Networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
On-line compositional measurements of AuAg aerosol nanoparticles using optical emission from spark ablation
2022) International Aerosol Conference 2022(
- Contribution to conference › Abstract
-
Mark
Linking Hydro-Physical Variables and Landscape Metrics using Advanced Data Mining for Stream-Flow Prediction
(
- Contribution to journal › Article
-
Mark
Estimation of actual evapotranspiration : A novel hybrid method based on remote sensing and artificial intelligence
(
- Contribution to journal › Article
-
Mark
A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level
(
- Contribution to journal › Article
-
Mark
Improving neural network classification of indigenous forest in New Zealand with phenological features
2022) In Journal of Environmental Management(
- Contribution to journal › Article
-
Mark
A GIS-Based Landslide Susceptibility Mapping and Variable Importance Analysis Using Artificial Intelligent Training-Based Methods
(
- Contribution to journal › Article
-
Mark
Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms
(
- Contribution to journal › Article
-
Mark
Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
(
- Contribution to journal › Article
-
Mark
Applications of Diversity and the Self-Attention Mechanism in Neural Networks
(
- Thesis › Licentiate thesis
-
Mark
Storage, patterns, and environmental controls of soil organic carbon stocks in the permafrost regions of the Northern Hemisphere
(
- Contribution to journal › Article
-
Mark
eVisits in the digital era of Swedish primary care
2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Data driven orthogonal basis selection for functional data analysis
(
- Contribution to journal › Article
-
Mark
Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
(
- Contribution to journal › Article
-
Mark
Soil moisture regulates warming responses of autumn photosynthetic transition dates in subtropical forests
(
- Contribution to journal › Article
-
Mark
GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches : Future Perspectives for Archaeological Prospection
(
- Contribution to journal › Article
-
Mark
Distinguishing tumor from healthy tissue in human liver ex vivo using machine learning and multivariate analysis of diffuse reflectance spectra
(
- Contribution to journal › Article
-
Mark
IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling
(
- Contribution to journal › Article
-
Mark
On-line compositional measurements of AuAg aerosol nanoparticles generated by spark ablation using optical emission spectroscopy
(
- Contribution to journal › Article
-
Mark
Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin
(
- Contribution to journal › Article
-
Mark
Application of Machine Learning and Remote Sensing in Hydrology
(
- Contribution to journal › Debate/Note/Editorial
-
Mark
Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
2022)(
- Thesis › Doctoral thesis (compilation)
-
Mark
A hybrid approach based on simulation, optimization, and estimation of conjunctive use of surface water and groundwater resources
(
- Contribution to journal › Article
-
Mark
Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models
(
- Contribution to journal › Article
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Mark
Prediction and exposure of delays from a base station perspective in 5G and beyond networks
2022) 2022 ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, 5G-MeMU 2022, co-located with ACM SIGCOMM 2022 In 5G-MeMU 2022 - Proceedings of the ACM SIGCOMM 2022 Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases - Part of SIGCOMM 2022 p.8-14(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Real-time Train Arrival Time Prediction at Multiple Stations and Arbitrary Times
2022) 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2022-October. p.793-798(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region
(
- Contribution to journal › Article
-
Mark
A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning : Proof of Concept
(
- Contribution to journal › Article
-
Mark
Roadmap on signal processing for next generation measurement systems
(
- Contribution to journal › Scientific review
-
Mark
Critical appraisal of technologies to assess electrical activity during atrial fibrillation : a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology
(
- Contribution to journal › Scientific review
-
Mark
Early Identification of Invalid Bug Reports in Industrial Settings – A Case Study
2022) 23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13709 LNCS. p.497-507(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Incremental Value of a Panel of Serum Metabolites for Predicting Risk of Atherosclerotic Cardiovascular Disease
(
- Contribution to journal › Letter
-
Mark
Multi-fidelity regression using artificial neural networks : Efficient approximation of parameter-dependent output quantities
(
- Contribution to journal › Article
-
Mark
Enhancing Sustainability of Corroded RC Structures : Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms
(
- Contribution to journal › Article
-
Mark
Virtual Diagnostic for Longitudinal Phase Space Imaging for the MAX IV SXL Project
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Artificial intelligence enabled radio propagation for communications – Part II: Scenario identification and channel modeling
(
- Contribution to journal › Scientific review
- 2021
-
Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
-
Mark
A review on the applications of machine learning for runoff modeling
(
- Contribution to journal › Article
-
Mark
The value of human data annotation for machine learning based anomaly detection in environmental systems
(
- Contribution to journal › Article
-
Mark
On Quality in Radiotherapy Treatment Plan Optimisation
2021)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
(
- Contribution to journal › Article
-
Mark
Machine learning algorithms comparison for manufacturing applications
2021) 18th International Conference on Manufacturing Research, ICMR 2021 In Advances in Transdisciplinary Engineering 15. p.377-382(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in morocco
(
- Contribution to journal › Article
-
Mark
The AIQ Meta-Testbed : Pragmatically Bridging Academic AI Testing and Industrial Q Needs
2021) 13th Software Quality Days Conference, SWQD 2021 In Lecture Notes in Business Information Processing 404. p.66-77(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Development of boosted machine learning models for estimating daily reference evapotranspiration and comparison with empirical approaches
(
- Contribution to journal › Article
-
Mark
Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy
(
- Contribution to journal › Article
-
Mark
Brain tissues have single-voxel signatures in multi-spectral MRI
(
- Contribution to journal › Article
-
Mark
Keyword Transformer: A Self-Attention Model for Keyword Spotting
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Detection of unilateral arm paresis after stroke by wearable accelerometers and machine learning
(
- Contribution to journal › Article
-
Mark
Unsupervised flow cytometry analysis in hematological malignancies : A new paradigm
(
- Contribution to journal › Scientific review
-
Mark
Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems
2021) 2nd IEEE/ACM International Workshop on Ethics in Software Engineering Research and Practice, SEthics 2021 In Proceedings - 2021 IEEE/ACM 2nd International Workshop on Ethics in Software Engineering Research and Practice, SEthics 2021 p.5-12(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
(
- Contribution to journal › Article
-
Mark
The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression : a simulation study
(
- Contribution to journal › Article
-
Mark
Predicting Monthly Community-Level Domestic Radon Concentrations in the Greater Boston Area with an Ensemble Learning Model
(
- Contribution to journal › Article
-
Mark
Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic : A scientometric review using text mining
(
- Contribution to journal › Scientific review
-
Mark
Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction
(
- Contribution to journal › Article
-
Mark
Realeasy: Real-Time capable Simulation to Reality Domain Adaptation
2021) 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) p.2009-2016(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
PEACE : Perception and expectations toward artificial intelligence in capsule endoscopy
(
- Contribution to journal › Article
-
Mark
Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology
(
- Contribution to journal › Scientific review
-
Mark
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence : A machine learning and free energy handshake
(
- Contribution to journal › Article
-
Mark
Random forest modelling of high-dimensional mixed-type data for breast cancer classification
(
- Contribution to journal › Article
-
Mark
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
(
- Contribution to journal › Article
-
Mark
ORKG : Facilitating the Transfer of Research Results with the Open Research Knowledge Graph
(
- Contribution to journal › Article
-
Mark
Futures Studies and Foresight for Science, Technology and Innovation: Trends of using Big Data and Machine Learning
2021)(
- Thesis › Doctoral thesis (monograph)
-
Mark
Placement Optimization in Refugee Resettlement
(
- Contribution to journal › Article
-
Mark
Improvement of tool utilization when hard turning with cBN tools at varying process parameters
(
- Contribution to journal › Article
-
Mark
PON-Sol2 : Prediction of effects of variants on protein solubility
(
- Contribution to journal › Article
-
Mark
Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction
(
- Contribution to journal › Article
-
Mark
Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models
2021) In Environmental Science and Pollution Research(
- Contribution to journal › Article
-
Mark
Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models
(
- Contribution to journal › Article
-
Mark
Parameterization of Ambiguity in Monocular Depth Prediction
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation
(
- Contribution to journal › Article
- 2020
-
Mark
Record linkage in the Cape of Good Hope Panel
(
- Contribution to journal › Article
-
Mark
Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
(
- Contribution to journal › Article
-
Mark
AI, Big Data, e-Health and the Right to be Forgotten
2020) p.275-275(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Improving risk prediction in heart failure using machine learning
(
- Contribution to journal › Article
-
Mark
A novel method for daylight harvesting optimization based on lighting simulation and data-driven optimal control
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Imaging biomarkers in neurodegeneration : Current and future practices
(
- Contribution to journal › Scientific review
-
Mark
Using the modis sensor for snow cover modeling and the assessment of drought effects on snow cover in a mountainous area
(
- Contribution to journal › Article
-
Mark
Chronological age assessment in young individuals using bone age assessment staging and nonradiological aspects : Machine learning multifactorial approach
(
- Contribution to journal › Article
-
Mark
Comparison of Different Methods for Spatial Downscaling of GPM IMERG V06B Satellite Precipitation Product Over a Typical Arid to Semi-Arid Area
(
- Contribution to journal › Article
-
Mark
Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector
(
- Contribution to journal › Article
-
Mark
Using machine learning to enrich building databases : Methods for tailored energy retrofits
(
- Contribution to journal › Article
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Mark
A new efficient method to detect genetic interactions for lung cancer GWAS
(
- Contribution to journal › Article
-
Mark
Content and Resource Management in Edge Networks
2020)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Crystal centering using deep learning in X-ray crystallography
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
(
- Contribution to journal › Article
-
Mark
A machine learning based approach for determining the stress-strain relation of grey cast iron from nanoindentation
(
- Contribution to journal › Article
-
Mark
Automatic Classification of Swedish Metadata Using Dewey Decimal Classification : A Comparison of Approaches
(
- Contribution to journal › Article
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Mark
Automated CPE Labeling of CVE Summaries with Machine Learning
2020) 17th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2020 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12223 LNCS. p.3-22(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
(
- Contribution to journal › Article
-
Mark
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
(
- Contribution to journal › Article
-
Mark
Data-driven software design with Constraint Oriented Multi-variate Bandit Optimization (COMBO)
2020) In Empirical Software Engineering(
- Contribution to journal › Article
-
Mark
Introducing reinforcement learning to the energy system design process
(
- Contribution to journal › Article
-
Mark
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach
(
- Contribution to journal › Article
-
Mark
Quantification of annual settlement growth in rural mining areas using machine learning
(
- Contribution to journal › Article
-
Mark
Self-aware machine learning for multimodal workload monitoring during manual labor on edge wearable sensors
(
- Contribution to journal › Article
-
Mark
A theoretical approach for forecasting different types of drought simultaneously, using entropy theory and machine-learning methods
(
- Contribution to journal › Article
-
Mark
Predicting outcomes of pelvic exenteration using machine learning
- Contribution to journal › Article
-
Mark
Application of machine learning for hydropower plant silt data analysis
2020) 2020 International Conference on Innovations in Clean Energy Technologies, ICET 2020 p.5575-5579(
- Contribution to conference › Paper, not in proceeding
- 2019
-
Mark
Skin Sensitization Testing-What's Next?
(
- Contribution to journal › Article
-
Mark
Essays in Applied Microeconomics
2019) In Lund Economic Studies(
- Thesis › Doctoral thesis (compilation)
-
Mark
The Impact of Local Taxes and Public Services on Property Values
2019) In Sveriges Riksbank Working Paper Series(
- Working paper/Preprint › Working paper
-
Mark
Human–Robot Interaction Based on Motion and Force Control
2019) In PhD Theses(
- Thesis › Doctoral thesis (monograph)
-
Mark
High-level software requirements and iteration changes : a predictive model
(
- Contribution to journal › Article
-
Mark
Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography : Machine Learning for Patient Safety
(
- Contribution to journal › Article
-
Mark
Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions
(
- Contribution to journal › Article
-
Mark
Building Knowledge Graphs : Processing Infrastructure and Named Entity Linking
2019)(
- Thesis › Doctoral thesis (compilation)
-
Mark
ProTstab - Predictor for cellular protein stability
(
- Contribution to journal › Article
-
Mark
Surface Classification with Millimeter-Wave Radar Using Temporal Features and Machine Learning
2019) European Radar Conference(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Pulsed Millimeter Wave Radar for Hand Gesture Sensing and Classification
(
- Contribution to journal › Letter
-
Mark
MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
(
- Contribution to journal › Article
-
Mark
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models
(
- Contribution to journal › Article
-
Mark
Letter to the Editor “Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China”
(
- Contribution to journal › Letter
-
Mark
Letter to the editor “Predicting total phosphorus levels as indicators for shallow lake management”
(
- Contribution to journal › Letter
-
Mark
Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran”
(
- Contribution to journal › Letter
-
Mark
Non-intrusive reduced-order modeling for fluid problems : A brief review
2019) In Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233(16). p.5896-5912(
- Contribution to journal › Scientific review
-
Mark
Data-driven reduced order modeling for time-dependent problems
(
- Contribution to journal › Article
-
Mark
Model order reduction for large-scale structures with local nonlinearities
(
- Contribution to journal › Article
- 2018
-
Mark
Using machine learning to detect events in eye-tracking data
(
- Contribution to journal › Article
-
Mark
Applying Entrepreneurial Teaching Methods to Advanced Technical STEM Courses
2018) 2018 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2018(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic classification using DDC on the Swedish union catalogue
2018) 18th European Networked Knowledge Organization Systems Workshop, NKOS 2018 In CEUR Workshop Proceedings 2200. p.4-16(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A machine learning approach to fault detection in district heating substations
2018) 16th International Symposium on District Heating and Cooling, DHC 2018 In Energy Procedia 149. p.226-235(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Law, Society and Digital Platforms: Normative Aspects of Large-scale Data-Driven Tech Companies
2018) The RCSL-SDJ Lisbon Meeting 2018 "Law and Citizenship Beyond The States”(
- Contribution to conference › Paper, not in proceeding
-
Mark
Refugee resettlement via machine learning and integer optimization
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Placement Optimization in Refugee Resettlement
2018) In Working Papers(
- Working paper/Preprint › Working paper
-
Mark
Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative
(
- Contribution to journal › Article
-
Mark
A search space strategy for pedestrian detection and localization in world coordinates
2018) 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 5. p.17-24(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic hand phantom map generation and detection using decomposition support vector machines
(
- Contribution to journal › Article
-
Mark
Record linkage in the Cape of Good Hope Panel
2018) In Lund Papers in Economic History. Population Economics(
- Working paper/Preprint › Working paper
-
Mark
Self-aware wearable systems in epileptic seizure detection
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Reduced order modeling for nonlinear structural analysis using Gaussian process regression
(
- Contribution to journal › Article
- 2017
-
Mark
StanceXplore: Visualization for the Interactive Exploration of Stance in Social Media
2017) 2nd Workshop on Visualization for the Digital Humanities(
- Contribution to conference › Paper, not in proceeding
-
Mark
Application of random forest and generalised linear model and their hybrid methods with geostatistical techniques to count data : Predicting sponge species richness
(
- Contribution to journal › Article
-
Mark
Spatial modelling and simulation for disease surveillance
2017)(
- Thesis › Doctoral thesis (monograph)
-
Mark
Predicting likelihood of requirement implementation within the planned iteration : An empirical study at IBM
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Early metabolic markers identify potential targets for the prevention of type 2 diabetes
(
- Contribution to journal › Article
-
Mark
Working toward precision medicine : Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
(
- Contribution to journal › Article
-
Mark
Aircraft fault forecasting at maintenance service on the basis of historic data and aircraft parameters
(
- Contribution to journal › Article
-
Mark
Applying Mondrian Cross-Conformal Prediction to Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets
(
- Contribution to journal › Article
- 2016
-
Mark
Esports Analytics Through Encounter Detection
2016) MIT Sloan Sports Analytics Conference(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography
(
- Contribution to journal › Article
-
Mark
Tools and pipelines for interpreting the impacts of genetic variants
2016)(
- Thesis › Doctoral thesis (compilation)
-
Mark
A Proposal for Improving Project Coordination using Data Mining and Proximity Tracking
2016) REFSQ-2016 Workshops, co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2016 1564.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Monitoring technology
(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2015
-
Mark
Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts
(
- Contribution to journal › Article
-
Mark
From Bugs to Decision Support – Leveraging Historical Issue Reports in Software Evolution
(
- Thesis › Doctoral thesis (compilation)
-
Mark
Improving the Detection of Relations Between Objects in an Image Using Textual Semantics
2015) 3rd International Conference on Pattern Recognition Applications an Methods (ICPRAM 2014) 9443. p.133-145(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Neural Network Approaches To Survival Analysis
2015)(
- Thesis › Doctoral thesis (monograph)
-
Mark
Identification of IT Incidents for Improved Risk Analysis by Using Machine Learning
2015) Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2015(
- Contribution to conference › Paper, not in proceeding
-
Mark
Real-time deep learning of robotic manipulator inverse dynamics
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2014
-
Mark
Rat Paw Tracking for Detailed Motion Analysis
2014) Visual observation and analysis of Vertebrate And Insect Behavior 2014(
- Contribution to conference › Paper, not in proceeding
-
Mark
Tackle 'em bugs! Managing the issue overflow in large-scale software engineering
(
- Contribution to journal › Published meeting abstract
-
Mark
Learning Based Image Segmentation of Pigs in a Pen
(
- Contribution to conference › Paper, not in proceeding