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Academic Journal

Prediction of 30-day, 90-day, and 1-year mortality after colorectal cancer surgery using a data-driven approach

Subjects: Colorectal cancer; Machine learning; Mortality

  • Source: Bräuner , K B , Tsouchnika , A , Mashkoor , M , Williams , R , Rosen , A W , Hartwig , M F S , Bulut , M , Dohrn , N , Rijnbeek , P & Gögenur , I 2024 , ' Prediction of 30-day, 90-day, and 1-year

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Academic Journal

Machine learning for predicting shallow groundwater levels in urban areas

Subjects: CatBoost; Machine learning; SHAP

  • Source: LaBianca , A , Koch , J , Jensen , K H , Sonnenborg , T O & Kidmose , J 2024 , ' Machine learning for predicting shallow groundwater levels in urban areas ' , Journal of

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Academic Journal

Machine-Learning-Assisted Leak Detection Using Distributed Temperature and Acoustic Sensors

Subjects: Distributed fiber-optic sensing; image segmentation; leak detection

  • Source: Gemeinhardt , H & Sharma , J 2024 , ' Machine-Learning-Assisted Leak Detection Using Distributed Temperature and Acoustic Sensors ' , IEEE

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Academic Journal

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau:Exploratory and Validation Cohort Study

Subjects: causal discovery; child mortality; Guinea-Bissau

  • Source: Rieckmann , A , Nielsen , S , Dworzynski , P , Amini , H , Mogensen , S W , Silva , I B , Chang , A Y , Arah , O A , Samek , W , Rod , N H , Ekstrøm , C T , Benn , C S , Aaby , P & Fisker , A B 2024

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Academic Journal

Refining risk prediction in pediatric acute lymphoblastic leukemia through DNA methylation profiling

Subjects: Artificial intelligence; DNA methylation; Epigenetics

  • Source: Mosquera Orgueira , A , Krali , O , Pérez Míguez , C , Peleteiro Raíndo , A , Díaz Arias , J Á , González Pérez , M S , Pérez Encinas , M M , Fernández Sanmartín , M , Sinnet , D , Heyman ,

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Academic Journal

Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

Subjects: Cardiovascular Disease; Diagnostics; Digital Health

  • Source: Muse , V P , Placido , D , Haue , A D & Brunak , S 2024 , ' Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for

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Academic Journal

Can large language models reason about medical questions?

Subjects: GPT-3.5; large language models; Llama 2

  • Source: Liévin , V , Hother , C E , Motzfeldt , A G & Winther , O 2024 , ' Can large language models reason about medical questions? ' , Patterns , vol. 5 , no. 3 , 100943 .

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Academic Journal

POMFinder:identifying polyoxometallate cluster structures from pair distribution function data using explainable machine learning

Subjects: computational modelling; machine learning; polyoxometallate clusters

  • Source: Anker , A S , Kjær , E T S , Juelsholt , M & Jensen , K M Ø 2024 , ' POMFinder : identifying polyoxometallate cluster structures from pair distribution function data using explainable

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Conference

Detection, identification and clustering of palynomorphs using AI and machine learning

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfScience; Faculty of Science; palynology

  • Source: Stefanowicz , S , Ask , M , Juliani , C & Lindström , S 2023 , ' Detection, identification and clustering of palynomorphs using AI and machine learning ' , EGU General

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Academic Journal

A machine learning approach for prediction of auditory brain stem response in patients after head-and-neck radiation therapy

Subjects: Auditory brain stem response; computed tomography; head-and-neck cancer

  • Source: Amiri , S , Abdolali , F , Neshastehriz , A , Nikoofar , A , Farahani , S , Firoozabadi , L A , Askarabad , Z A & Cheraghi , S 2023 , ' A machine learning approach for

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Academic Journal

Enlarged Vestibular Aqueduct and Associated Inner Ear Malformations:Hearing Loss Prognostic Factors and Data Modeling from an International Cohort

Subjects: Hearing loss; machine learning; modeling

  • Source: Saeed , H S , Fergie , M , Mey , K , West , N , Caye-Thomasen , P , Nash , R , Saeed , S R , Stivaros , S M , Black , G & Bruce , I A 2023 , ' Enlarged Vestibular Aqueduct and Associated Inner Ear

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Academic Journal

Predicting obsessive-compulsive disorder episodes in adolescents using a wearable biosensor — A wrist angel feasibility study

Subjects: adolescents; children; machine learning

  • Source: Lønfeldt , N N , Olesen , K V , Das , S , Mora-Jensen , A R C , Pagsberg , A K & Clemmensen , L K H 2023 , ' Predicting obsessive-compulsive disorder episodes in adolescents using a wearable

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Academic Journal

Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC:a sub-study of the TNM-I trial

Subjects: immune phenotypes; KEAP1; machine learning

  • Source: Rakaee , M , Andersen , S , Giannikou , K , Paulsen , E E , Kilvaer , T K , Busund , L T R , Berg , T , Richardsen , E , Lombardi , A P , Adib , E , Pedersen , M I , Tafavvoghi , M , Wahl , S G F ,

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Academic Journal

Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild Using a Wearable Biosensor (Wrist Angel):Protocol for the Analysis Plan of a Nonrandomized Pilot Study

Subjects: adolescents; AI; artificial intelligence

  • Source: Olesen , K V , Lønfeldt , N N , Das , S , Pagsberg , A K & Clemmensen , L K H 2023 , ' Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild Using a Wearable

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Academic Journal

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer:a report of the international immuno-oncology biomarker working group

Subjects: deep learning; digital pathology; guidelines

  • Source: Thagaard , J , Broeckx , G , Page , D B , Jahangir , C A , Verbandt , S , Kos , Z , Gupta , R , Khiroya , R , Abduljabbar , K , Acosta Haab , G , Acs , B , Akturk , G , Almeida , J S ,

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Academic Journal

Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu, Pakistan

Subjects: DVI; machine learning; random forest

  • Source: Haq , Y U , Shahbaz , M , Asif , H M S , Al-Laith , A & Alsabban , W H 2023 , ' Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu,

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Academic Journal

A Wearable Artificial Intelligence Feedback Tool (Wrist Angel) for Treatment and Research of Obsessive Compulsive Disorder:Protocol for a Nonrandomized Pilot Study

Subjects: adolescents; automatic assessment tool; children

  • Source: Lønfeldt , N N , Clemmensen , L K H & Pagsberg , A K 2023 , ' A Wearable Artificial Intelligence Feedback Tool (Wrist Angel) for Treatment and Research of Obsessive Compulsive Disorder : Protocol for

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Academic Journal

Prediction of pulp exposure before caries excavation using artificial intelligence:Deep learning-based image data versus standard dental radiographs

Subjects: Artificial intelligence; Dental caries; Endodontics

  • Source: Ramezanzade , S , Dascalu , T L , Ibragimov , B , Bakhshandeh , A & Bjørndal , L 2023 , ' Prediction of pulp exposure before caries excavation using artificial intelligence : Deep

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Academic Journal

Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using machine learning

Subjects: 13C; 15N; Deep resource uptake

  • Source: Changdar , S , Popovic , O , Wacker , T S , Markussen , B , Dam , E B & Thorup-Kristensen , K 2023 , ' Non-invasive phenotyping for water and nitrogen uptake by deep roots explored using

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Academic Journal

Ambulatory Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Combining Actigraphy and Questionnaire

Subjects: actigraphy; machine learning; Parkinson's disease

  • Source: Brink-Kjaer , A , Gupta , N , Marin , E , Zitser , J , Sum-Ping , O , Hekmat , A , Bueno , F , Cahuas , A , Langston , J , Jennum , P , Sorensen , H B D , Mignot , E & During , E 2023 , ' Ambulatory

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Academic Journal

Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke:A Systematic Review

Subjects: artificial intelligence; machine learning; MR DWI/FLAIR mismatch

  • Source: Offersen , C M , Sørensen , J , Sheng , K , Carlsen , J F , Langkilde , A R , Pai , A , Truelsen , T C & Nielsen , M B 2023 , ' Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on

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Academic Journal

Predicting weight loss success on a new Nordic diet:an untargeted multi-platform metabolomics and machine learning approach

Subjects: machine learning; metabolomics; new Nordic diet

  • Source: Pigsborg , K , Stentoft-Larsen , V , Demharter , S , Aldubayan , M A , Trimigno , A , Khakimov , B , Engelsen , S B , Astrup , A , Hjorth , M F , Dragsted , L O & Magkos , F 2023 , ' Predicting weight

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Academic Journal

Soil assessment in Denmark:Towards soil functional mapping and beyond

Subjects: digital soil mapping; ecosystem services; machine learning

  • Source: Gomes , L C , Beucher , A M , Møller , A B , Iversen , B V , Børgesen , C D , Adetsu , D V , Sechu , G L , Heckrath , G J , Koch , J , Adhikari , K , Knadel , M , Lamandé , M , Greve , M B , Jensen

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Academic Journal

Features characterising cardiac autonomic neuropathy in diabetes using ensembled classification

Subjects: Decision tree; Diabetes; Ensembling

  • Source: Nedergaard , R B , Scott , M , Wegeberg , A-M , Okdahl , T , Størling , J , Brock , B , Drewes , A M & Brock , C 2023 , ' Features characterising cardiac autonomic neuropathy in diabetes using

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Academic Journal

Predicting Hearing Loss in Testicular Cancer Patients after Cisplatin-Based Chemotherapy

Subjects: chemotherapy regimen; genetics; hearing loss

  • Source: Garcia , S L , Lauritsen , J , Christiansen , B K , Hansen , I F , Bandak , M , Dalgaard , M D , Daugaard , G & Gupta , R 2023 , ' Predicting Hearing Loss in Testicular Cancer Patients after

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Academic Journal

Assessment of portal hypertension severity using machine learning models in patients with compensated cirrhosis

Subjects: hepatic venous pressure gradient; machine learning; non-invasive testing

  • Source: Reiniš , J , Petrenko , O , Simbrunner , B , Hofer , B S , Schepis , F , Scoppettuolo , M , Saltini , D , Indulti , F , Guasconi , T , Albillos , A , Téllez , L , Villanueva , C , Brujats , A ,

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Academic Journal

Clinician-Facing AI in the Wild:Taking Stock of the Sociotechnical Challenges and Opportunities for HCI

Subjects: artificial intelligence; clinician-facing systems; conceptual framework

  • Source: Zajac , H D , Li , D , Dai , X , Carlsen , J F , Kensing , F & Andersen , T O 2023 , ' Clinician-Facing AI in the Wild : Taking Stock of the Sociotechnical Challenges and Opportunities for HCI ' , ACM

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Academic Journal

Quantum Differential Privacy:An Information Theory Perspective

Subjects: Computational modeling; Differential privacy; Machine learning

  • Source: Hirche , C , Rouze , C & Franca , D S 2023 , ' Quantum Differential Privacy : An Information Theory Perspective ' , IEEE Transactions on Information Theory , vol. 69 , no. 9 , pp. 5771-5787 .

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Academic Journal

Machine Learning and Postcolonial Critique:Homologous Challenges to Sociological Notions of Human Agency

Subjects: actor-network theory; agency; Latour

  • Source: Borch , C 2023 , ' Machine Learning and Postcolonial Critique : Homologous Challenges to Sociological Notions of Human Agency ' , Sociology , vol. 57 , no. 6 , pp.

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Academic Journal

Behavioral encoding across timescales by region-specific dopamine dynamics

Subjects: cocaine; dopamine release; dopamine sensors

  • Source: Jørgensen , S H , Ejdrup , A L , Lycas , M D , Posselt , L P , Madsen , K L , Tian , L , Dreyer , J K , Herborg , F , Sørensen , A T & Gether , U 2023 , ' Behavioral encoding across timescales by

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Academic Journal

Image-based weed recognition and control:Can it select for crop mimicry?

Subjects: machine learning; site-specific weed control; Vavilovian mimicry

  • Source: Coleman , G R Y , Bender , A , Walsh , M J & Neve , P 2023 , ' Image-based weed recognition and control : Can it select for crop mimicry? ' , Weed Research , vol. 63 , no. 2 , pp. 77-82 .

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Academic Journal

The efficiency of artificial intelligence methods for finding radiographic features in different endodontic treatments - a systematic review

Subjects: Artificial intelligence; deep learning; endodontic diagnosis

  • Source: Ramezanzade , S , Laurentiu , T , Bakhshandah , A , Ibragimov , B , Kvist , T , EndoReCo & Bjørndal , L 2023 , ' The efficiency of artificial intelligence methods for finding radiographic features in

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Academic Journal

Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data

Subjects: diagnostics; machine learning; mass spectrometry

  • Source: Torun , F M , Virreira Winter , S , Doll , S , Riese , F M , Vorobyev , A , Mueller-Reif , J B , Geyer , P E & Strauss , M T 2023 , ' Transparent Exploration of Machine

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Academic Journal

The KNee OsteoArthritis Prediction (KNOAP2020) challenge:An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Subjects: Deep learning; Knee osteoarthritis; Machine learning

  • Source: Hirvasniemi , J , Runhaar , J , van der Heijden , R A , Zokaeinikoo , M , Yang , M , Li , X , Tan , J , Rajamohan , H R , Zhou , Y , Deniz , C M , Caliva , F , Iriondo , C , Lee , J J , Liu , F ,

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Academic Journal

Seizure forecasting using minimally invasive, ultra-long-term subcutaneous EEG:Generalizable cross-patient models

Subjects: deep neural networks; epilepsy; LSTM neural networks

  • Source: Pal Attia , T , Viana , P F , Nasseri , M , Duun-Henriksen , J , Biondi , A , Winston , J S , P. Martins , I , Nurse , E S , Dümpelmann , M , Worrell , G A , Schulze-Bonhage , A , Freestone , D R ,

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Academic Journal

Neural network predictions of drawdown from groundwater abstraction in the Egebjerg catchment, Denmark

Subjects: decision support; groundwater modelling; machine learning

  • Source: Dahl , M B , Vilhelmsen , T N , Enemark , T & Hansen , T M 2023 , ' Neural network predictions of drawdown from groundwater abstraction in the Egebjerg catchment, Denmark ' , GEUS Bulletin , vol. 53 ,

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Academic Journal

Discourse developments within the public agenda on Danish nature management 2016–2021:Animal welfare ethics as a barrier to rewilding projects

Subjects: Environmental discourse; Environmental policy administration; Machine learning

  • Source: Christensen , R V K & Bentsen , N S 2023 , ' Discourse developments within the public agenda on Danish nature management 2016–2021 : Animal welfare ethics as a barrier to rewilding projects ' ,

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Academic Journal

Artificial Intelligence Outperforms Kaplan–Meier Analyses Estimating Survival after Elective Treatment of Abdominal Aortic Aneurysms

Subjects: AAA; Abdominal aortic aneurysm; AI

  • Source: Kiessling , J , Brunnberg , A , Holte , G , Eldrup , N & Sörelius , K 2023 , ' Artificial Intelligence Outperforms Kaplan–Meier Analyses Estimating Survival after Elective Treatment of Abdominal

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Academic Journal

Biochemical identification of prepubertal boys with Klinefelter syndrome by combined reproductive hormone profiling using machine learning

Subjects: classification; early diagnosis; Klinefelter syndrome

  • Source: Madsen , A , Juul , A & Aksglaede , L 2023 , ' Biochemical identification of prepubertal boys with Klinefelter syndrome by combined reproductive hormone profiling using machine

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Academic Journal

Deep learning for detection of clinical operations in robot-assisted percutaneous renal access

Subjects: Human factors; human performance analysis; Kidney

  • Source: Ibragimov , B , Zhen , J & Ayvali , E 2023 , ' Deep learning for detection of clinical operations in robot-assisted percutaneous renal access ' , IEEE Access , vol. 11 ,

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Conference

AI Augmented Analysis in digital biostratigraphy—palynology

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfScience; Faculty of Science; Machine learning

  • Source: Stefanowicz , S , Ask , M , Juliani , C & Lindström , S 2022 , ' AI Augmented Analysis in digital biostratigraphy—palynology ' , 11th European Palaeobotany and Palynology Conference , Stockholm ,

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Academic Journal

Politics of data reuse in machine learning systems:Theorizing reuse entanglements

Subjects: algorithms; Data reuse; datasets

  • Source: Thylstrup , N B , Hansen , K B , Flyverbom , M & Amoore , L 2022 , ' Politics of data reuse in machine learning systems : Theorizing reuse entanglements ' , Big Data and

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Academic Journal

SPiP:Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing

Subjects: machine learning; RNA; sequence variants

  • Source: Leman , R , Parfait , B , Vidaud , D , Girodon , E , Pacot , L , Le Gac , G , Ka , C , Ferec , C , Fichou , Y , Quesnelle , C , Aucouturier , C , Muller , E , Vaur , D , Castera , L , Boulouard , F ,

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Academic Journal

Interpretable surface-based detection of focal cortical dysplasias:a Multi-centre Epilepsy Lesion Detection study

Subjects: epilepsy; focal cortical dysplasia; machine learning

  • Source: Spitzer , H , Ripart , M , Whitaker , K , D’Arco , F , Mankad , K , Chen , A A , Napolitano , A , De Palma , L , De Benedictis , A , Foldes , S , Humphreys , Z , Zhang , K , Hu , W , Mo , J ,

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Academic Journal

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

Subjects: Ambulatory impairments; Fitbit; Free-living conditions

  • Source: Sun , S , Folarin , A A , Zhang , Y , Cummins , N , Liu , S , Stewart , C , Ranjan , Y , Rashid , Z , Conde , P , Laiou , P , Sankesara , H , Dalla Costa , G , Leocani , L , Sørensen , P S , Magyari

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Academic Journal

Particulate air pollution in the Copenhagen metro part 2:Low-cost sensors and micro-environment classification

Subjects: Low-cost sensors; Machine learning; Metro

  • Source: Russell , H S , Kappelt , N , Fessa , D , Frederickson , L B , Bagkis , E , Apostolidis , P , Karatzas , K , Schmidt , J A , Hertel , O & Johnson , M S 2022 , ' Particulate air pollution in the

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Academic Journal

Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents:Protocol for a Statistical and Machine Learning Analysis

Subjects: adolescents; AI; artificial intelligence

  • Source: Clemmensen , L K H , Lønfeldt , N N , Das , S , Lund , N L , Uhre , V F , Mora-Jensen , A R C , Pretzmann , L , Uhre , C F , Ritter , M , Korsbjerg , N L J , Hagstrøm , J , Thoustrup , C L ,

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Academic Journal

Seasonal Patterns of Greenland Ice Velocity From Sentinel-1 SAR Data Linked to Runoff

Subjects: Greenland Ice Sheet; ice dynamics; ice velocity

  • Source: Solgaard , A M , Rapp , D , Noël , B P Y & Hvidberg , C S 2022 , ' Seasonal Patterns of Greenland Ice Velocity From Sentinel-1 SAR Data Linked to Runoff ' , Geophysical Research Letters , vol. 49 ,

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Academic Journal

Chemoinformatics and artificial intelligence colloquium:progress and challenges in developing bioactive compounds

Subjects: ADME profile; Antibiotic resistance; Artificial intelligence

  • Source: Bajorath , J , Chávez-Hernández , A L , Duran-Frigola , M , Fernández-de Gortari , E , Gasteiger , J , López-López , E , Maggiora , G M , Medina-Franco , J L , Méndez-Lucio , O , Mestres , J ,

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Academic Journal

Evaluation of Boulder Characteristics for Improved Boulder Detection Based on Machine Learning Techniques

Subjects: boulder characteristics; boulder detection; boulder predictors

  • Source: Hansen , S S , Ernstsen , V B , Andersen , M S , Al-Hamdani , Z , Baran , R , Niederwieser , M , Steinbacher , F & Kroon , A 2022 , ' Evaluation of Boulder Characteristics for Improved Boulder

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