An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

Cited by (1,004)

Items 401–500 of 1,004

1. Analysing land cover and land use change in the Matobo National Park and surroundings in Zimbabwe
   Valeska Scharsich, Kupakwashe Mtata, Michael Hauhs, Holger Lange, Christina Bogner · 2017 · Remote Sensing of Environment
2. Development of an in silico prediction model for chemical-induced urinary tract toxicity by using naïve Bayes classifier
   Hui Zhang, Ji-Xia Ren, Jinxiang Ma, Lan Ding · 2018 · Molecular Diversity
3. Modifiable Risk Factors Discriminate Memory Trajectories in Non-Demented Aging: Precision Factors and Targets for Promoting Healthier Brain Aging and Preventing Dementia
   G. Peggy McFall, Kirstie L. McDermott, Roger A. Dixon · 2019 · Journal of Alzheimer s Disease
4. Spatial analyses of multi‐trophic terrestrial vertebrate assemblages in Europe
   João Braga, Laura J. Pollock, Ceres Barros, Núria Galiana, José M. Montoya, Dominique Gravel, Luigi Maiorano, Alessandro Montemaggiori, Gentile Francesco Ficetola, Stéphane Dray et al. · 2019 · Global Ecology and Biogeography
5. Spending reflects not only who we are but also who we are around: The joint effects of individual and geographic personality on consumption.
   Tobias Ebert, Friedrich Martin Götz, Joe J. Gladstone, Sandrine R. Müller, Sandra Matz · 2020 · Journal of Personality and Social Psychology
6. Who does not get screened? A simple model of the complex relationships in mammogram non-attendance
   Celia K. Naivar Sen, G. Tarcan Kumkale · 2015 · Journal of Health Psychology
7. Sociophonetic variation of like in British dialects: effects of function, context and predictability
   Erik Schleef, Danielle Turton · 2016 · English Language and Linguistics
8. Identifying factors that contribute to military veterans’ post‐military well‐being
   Dawne S. Vogt, Matthew W. King, Shelby C. Borowski, Erin P. Finley, Daniel Francis Perkins, Laurel Anne Copeland · 2021 · Applied Psychology Health and Well-Being
9. Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence
   Christine Anderson, Zerihun Bekele, Yongkai Joshua Qiu, Dana J. Tschannen, Ivo D. Dinov · 2021 · BMC Medical Informatics and Decision Making
10. Country, School and Students Factors Associated with Extreme Levels of Science Literacy Across 25 Countries
    Fabio Alivernini, Sara Manganelli · 2015 · International Journal of Science Education
11. The Association between Lesion Location and Functional Outcome after Ischemic Stroke
    Nawaf Yassi, Leonid P. Churilov, Bruce C.V. Campbell, Gagan Jyoti Sharma, Roland Bammer, Patricia M. Desmond, Mark William Parsons, Gregory W. Albers, Geoffrey Alan Donnan, Stephen M. Davis · 2015 · International Journal of Stroke
12. The process and utility of classification and regression tree methodology in nursing research
    Lisa Kühn, Karen Page, John Ward, Linda Worrall‐Carter · 2013 · Journal of Advanced Nursing
13. Do richness and rarity hotspots really matter for orchid conservation in light of anticipated habitat loss?
    Benjamin J. Crain, Raymond L. Tremblay · 2014 · Diversity and Distributions
14. The last shall be the first: Competencies, equity and the power of resilience in the Italian school system
    F. Alivernini, S. Manganelli, F. Lucidi · 2016 · Learning and Individual Differences
15. The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean
    Moritz Sebastian Schmid, Cyril Aubry, Jordan Grigor, Louis Fortier · 2016 · Methods in Oceanography
16. Most impactful factors on the health‐related quality of life of a geriatric population with cancer
    Maria Pisu, Andrés Azuero, Karina I. Halilova, Courtney Williams, Kelly Marie Kenzik, Elizabeth Ann Kvale, Grant Richard Williams, Karen Meneses, Margaret Sullivan, Supriya Kumar Yagnik et al. · 2017 · Cancer
17. Assessing the value of information of data-centric activities in the chemical processing industry 4.0
    M. Reis, Ron S. Kenett · 2018 · AIChE Journal
18. What makes a metaphor literary? Answers from two computational studies
    Arthur M. Jacobs, Annette Kinder · 2018 · Metaphor and Symbol
19. Precipitation pattern modeling using cross-station perception: regional investigation
    Sadeq Oleiwi Sulaiman, Jalal Shiri, Hamed Shiralizadeh, Özgür Kişi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · 2018 · Environmental Earth Sciences
20. Prediction of Essay Scores From Writing Process and Product Features Using Data Mining Methods
    Sandip Sinharay, Mo Zhang, Paul Deane · 2019 · Applied Measurement in Education
21. Modelling phonetic reduction in a corpus of spoken English using Random Forests and Mixed-Effects Regression
    Philip Dilts · 2013 · ERA: Education and Research Archive (University of Alberta)
22. Identifying Predictors of Opioid Overdose Death at a Neighborhood Level With Machine Learning
    Robert C. Schell, Bennett Allen, William C. Goedel, Benjamin D. Hallowell, Rachel P. Scagos, Yu Li, Maxwell S. Krieger, Daniel B. Neill, Brandon D. L. Marshall, Magdalena Cerdá et al. · 2021 · American Journal of Epidemiology
23. Predicting and understanding the response to short-term intensive insulin therapy in people with early type 2 diabetes
    Yury O. Núñez López, Ravi R. Retnakaran, Bernard Zinman, Richard E. Pratley, Attila A. Seyhan · 2018 · Molecular Metabolism
24. Environmental drivers of mixotrophs in boreal lakes
    Truls Hveem Hansson, Hans‐Peter Grossart, Paul A. del Giorgio, Nicolas Fortin St‐Gelais, Beatrix E. Beisner · 2019 · Limnology and Oceanography
25. Rapid Identification of Rainbow Trout Adulteration in Atlantic Salmon by Raman Spectroscopy Combined with Machine Learning
    Zeling Chen, Ting Wu, Cheng Xiang, Xiaoyan Xu, Xingguo Tian · 2019 · Molecules
26. Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures
    Chella Kamarajan, Babak Assai Ardekani, Ashwini Kumar Pandey, Sivan Kinreich, Gayathri Pandey, David Balin Chorlian, Jacquelyn Leigh Meyers, Jian Zhang, Elaine Bermudez, Arthur T. Stimus et al. · 2020 · Brain Sciences
27. Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval® thermal analysis (PARTY SOC v2.0 and PARTY SOC v2.0 EU )
    Lauric Cécillon, François Baudin, Claire Chenu, Bent Tolstrup Christensen, Uwe Franko, Sabine Houot, Eva Kanari, Thomas Kätterer, Ines Merbach, Folkert van Oort et al. · 2021 · Geoscientific model development
28. Energy Production Forecasting From Solar Photovoltaic Plants Based on Meteorological Parameters for Qassim Region, Saudi Arabia
    Muhannad Alaraj, Astitva Kumar, Ibrahim Saad Alsaidan, Mohammad Rizwan, Majid Jamil · 2021 · IEEE Access
29. Recursive partitioning on incomplete data using surrogate decisions and multiple imputation
    Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm · 2011 · Computational Statistics & Data Analysis
30. Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry
    Katuwal, Gajendra J., Baum, Stefi A., Cahill, Nathan D., Michael, Andrew M. · 2016 · PLOS ONE
31. Bilinguals’ Sensitivity to Grammatical Gender Cues in Russian: The Role of Cumulative Input, Proficiency, and Dominance
    Natalia Mitrofanova, Yulia Rodina, Olga Urek, Marit Richardsen Westergaard · 2018 · Frontiers in Psychology
32. Costs, contracts and the narrative of prosperity: an economic analysis of smallholder tobacco farming livelihoods in Kenya
    Peter Magati, Raphael Lencucha, Qing Li, Jeffrey M. Drope, Ronald Labonté, Adriana Appau, Donald Makoka, Fastone Mathew Goma, Richard Zulu · 2018 · Tobacco Control
33. Country-level conditions like prosperity, democracy, and regulatory culture predict individual climate change belief
    Sebastian Levi · 2021 · Communications Earth & Environment
34. Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models
    Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis, Haris Doukas · 2023 · Applied Sciences
35. The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory
    Muhammad Tariq Badshah, Khadim Hussain, Arif Ur Rehman, Kaleem Mehmood, Bilal Muhammad, Rinto Wiarta, Rato Firdaus Silamon, Muhammad Anas Khan, Jinghui Meng · 2024 · Frontiers in Forests and Global Change
36. Characteristics and anxiety symptom presentation associated with autism spectrum traits in youth with anxiety disorders
    Cara A. Settipani, Connor Morrow Puleo, Bradley T. Conner, Philip C. Kendall · 2012 · Journal of Anxiety Disorders
37. Prediction of rebound phenomenon after removal of hemiepiphyseal staples in patients with idiopathic genu valgum deformity
    Sung Sup Park, Sang‐Hyun Kang, J. Y. Kim · 2016 · The Bone & Joint Journal
38. Treatment effect of methylphenidate on intrinsic functional brain network in medication-naïve ADHD children: A multivariate analysis
    Jae Hyun Yoo, Dohyun Kim, Jeewook Choi, Bumseok Jeong · 2017 · Brain Imaging and Behavior
39. Neuromyths in Music Education: Prevalence and Predictors of Misconceptions among Teachers and Students
    Nina Düvel, Anna D. Wolf, Reinhard Kopiez · 2017 · Frontiers in Psychology
40. Decrypting the electrophysiological individuality of the human brain: Identification of individuals based on resting-state EEG activity
    Seyed Abolfazl Valizadeh, Robert Riener, Stefan Elmer, Lutz Jäncke · 2019 · NeuroImage
41. Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data
    Sharad Indur Wadhwani, Evelyn Kanyu Hsu, Michele L. Shaffer, Ravinder Anand, Vicky L. Ng, John C. Bucuvalas · 2019 · Pediatric Transplantation
42. Soil organic carbon estimation using VNIR–SWIR spectroscopy: The effect of multiple sensors and scanning conditions
    Asa Gholizadeh, Carsten Neumann, Sabine Chabrillat, Bas van Wesemael, Fabio Castaldi, Luboš Borůvka, Jonathan Sanderman, Aleš Klement, Christian Hohmann · 2021 · Soil and Tillage Research
43. Ceftolozane/tazobactam versus meropenem in patients with ventilated hospital-acquired bacterial pneumonia: subset analysis of the ASPECT-NP randomized, controlled phase 3 trial
    JF Timsit, Jennifer A. Huntington, Richard G. Wunderink, Nobuaki Shime, Marin H. Kollef, Ülo Kivistik, Martin Nováček, Álvaro Réa-Neto, Ignacio Martín‐Loeches, Brian Yu et al. · 2021 · Critical Care
44. Differential efficacy of cognitive behavioral therapy and psychodynamic therapy for major depression: a study of prescriptive factors
    Ellen Driessen, Niels Smits, Jack Dekker, Jaap Peen, Frank J. Don, Simone Kool, Dieuwertje Westra, Mariëlle Hendriksen, Pim J. Cuijpers, Henricus L. Van · 2016 · Psychological Medicine
45. Adaptive rangeland decision-making and coping with drought
    Roche, Leslie · 2016 · Sustainability
46. Source identification of western Oregon Douglas‐fir wood cores using mass spectrometry and random forest classification
    Kristen N. Finch, Edgard O. Espinoza, F. Andrew Jones, Richard Cronn · 2017 · Applications in Plant Sciences
47. The Potential of Multisource Remote Sensing for Mapping the Biomass of a Degraded Amazonian Forest
    Clément Bourgoin, Lilian Blanc, Jean‐Stéphane Bailly, Guillaume Cornu, Érika Berenguer, Johan Oszwald, Isabelle Tritsch, François Laurent, Ali Hasan, Plinio L. J. Sist et al. · 2018 · Forests
48. Forest degradation and biomass loss along the Chocó region of Colombia
    Victoria Meyer, Sassan S Saatchi, António Ferraz, Liang Xu, Álvaro Duque, Mariano Garcı́a, Jérôme Chave · 2019 · Carbon Balance and Management
49. Start-ups survival through a crisis. Combining machine learning with econometrics to measure innovation
    Marco Guerzoni, Consuelo Rubina Nava, Massimiliano Nuccio · 2020 · Economics of Innovation and New Technology
50. Combining genetic markers with stable isotopes in otoliths reveals complexity in the stock structure of Atlantic bluefin tuna (Thunnus thynnus)
    Deirdre Brophy, Naiara Rodríguez‐Ezpeleta, Igaratza Fraile, Haritz Arrizabalaga · 2020 · Scientific Reports
51. Predicting the rental value of houses in household surveys in Tanzania, Uganda and Malawi: Evaluations of hedonic pricing and machine learning approaches
    Weldensie T. Embaye, Yacob Abrehe Zereyesus, Bowen Chen · 2021 · PLoS ONE
52. Lessons and tips for designing a machine learning study using EHR data
    Arbet, Jaron, Brokamp, Cole, Meinzen-Derr, Jareen, Trinkley, Katy E., Spratt, Heidi M. · 2021 · Journal of Clinical and Translational Science
53. Predicting resistance to stripe (yellow) rust (Puccinia striiformis)in wheat genetic resources using focused identification of germplasm strategy
    A. Bari, Ahmed Amri, Kenneth Street, Michael Mackay, Eddy De Pauw, R. SANDERS, K. Nazari, Bilal O. Humeid, J. Konôpka, Fida Alo · 2014 · The Journal of Agricultural Science
54. Geographic Origin Discrimination of Millet Using Vis-NIR Spectroscopy Combined with Machine Learning Techniques
    Muhammad Hilal Kabir, Mahamed Lamine Guindo, Rongqin Chen, Fei Liu · 2021 · Foods
55. Exploring nationally and regionally defined models for large area population mapping
    Andrea Elizabeth Gaughan, Forrest Robert Stevens, Catherine Linard, Nirav N. Patel, Andrew J. Tatem · 2014 · International Journal of Digital Earth
56. Towards Unbiased and Accurate Deferral to Multiple Experts
    Keswani, Vijay, Lease, Matthew, Kenthapadi, Krishnaram · 2021 · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
57. Land cover controls on summer discharge and runoff solution chemistry of semi-arid urban catchments
    Erika L. Gallo, Paul D. Brooks, Kathleen A. Lohse, Jean E. McLain · 2012 · Journal of Hydrology
58. Combat high or traumatic stress: violent offending is associated with appetitive aggression but not with symptoms of traumatic stress
    Anke Koebach, Susanne Schaal, Thomas R. Elbert · 2015 · Frontiers in Psychology
59. A Random Forest Approach for Predicting Online Buying Behavior of Indian Customers
    Rohit Joshi, Rohan Gupte, Palanisamy Saravanan · 2018 · Theoretical Economics Letters
60. A Regression Tree for Identifying Risk Factors for Fear of Falling: The International Mobility in Aging Study (IMIAS)
    Carmen‐Lucía Curcio, Yan Yan Wu, Afshin Vafaei, Juliana F. S. Barbosa, Ricardo Oliveira Guerra, Jack M. Guralnik, Fernando Gómez · 2019 · The Journals of Gerontology Series A
61. Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil
    Bárbara Pereira Christófaro Silva, Marx Leandro Naves Silva, Fabio Arnaldo Pomar Avalos, Michele Duarte de Menezes, Nilton Curi · 2019 · Scientific Reports
62. Exploring Relationships Among Peripheral Amyloid Beta, Tau, Cytokines, Cognitive Function, and Psychosomatic Symptoms in Breast Cancer Survivors
    Ashley M. Henneghan, Andreana P. Haley, Shelli R. Kesler · 2019 · Biological Research For Nursing
63. Fingerprints Classification through Image Analysis and Machine Learning Method
    Nguyễn Thu Hương, Long The Nguyen · 2019 · Algorithms
64. Prediction and causal analysis of defects in steel products: Handling nonnegative and highly overdispersed count data
    Xinmin Zhang, Manabu Kano, Masahiro Tani, Junichi Mori, Junji Ise, Kohhei Harada · 2019 · Control Engineering Practice
65. Prognostic significance of and risk prediction model for lymph node metastasis in resectable intrahepatic cholangiocarcinoma: do all require lymph node dissection?
    Jonathan Geograpo Navarro, Jin Ho Lee, Incheon Kang, Seoung Yoon Rho, Gi Hong Choi, Dai Hoon Han, Kyung Sik Kim, Jin Sub Choi · 2020 · HPB
66. Decoding river pollution trends and their landscape determinants in an ecologically fragile karst basin using a machine learning model
    Guoyu Xu, Hongxiang Fan, David M. Oliver, Yibin Dai, Hengpeng Li, Yunjie Shi, Haifei Long, Kangning Xiong, Zhongming Zhao · 2022 · Environmental Research
67. Grey-matter network disintegration as predictor of cognitive and motor function with aging
    Marisa Koini, Marco Duering, Benno G. Gesierich, Serge A.R.B. Rombouts, Stefan Ropele, Fabian Wagner, Christian Enzinger, Reinhold Schmidt · 2018 · Brain Structure and Function
68. May the best-sighted win? The relationship between visual function and performance in Para judo
    Kai J. Krabben, Evgeny Mashkovskiy, H. J. C. Ravensbergen, David Lindsay Mann · 2020 · Journal of Sports Sciences
69. Modeling of pan evaporation based on the development of machine learning methods
    Mustafa Al-Mukhtar · 2021 · Theoretical and Applied Climatology
70. A Comparative Study of Machine Learning and Spatial Interpolation Methods for Predicting House Prices
    Jeonghyeon Kim, Youngho Lee, Myeong-Hun Lee, Seong‐Yun Hong · 2022 · Sustainability
71. Developmental data science: How machine learning can advance theory formation in Developmental Psychology
    Caspar J. Van Lissa · 2022 · Infant and Child Development
72. Novel Prognostic Staging System for Patients With De Novo Metastatic Breast Cancer
    Jennifer Kay Plichta, Samantha Marie Thomas, Daniel F. Hayes, Mariana Chávez‐MacGregor, Kimberly H. Allison, Jennifer De Los Santos, Amy M. Fowler, Armando E. Giuliano, Priyanka Sharma, Benjamin D. Smith et al. · 2023 · Journal of Clinical Oncology
73. Emergent clustering methods for empirical OM research
    Michael J. Brusco, Douglas Steinley, J. Dennis Cradit, Renu Singh · 2012 · Journal of Operations Management
74. RELATIONSHIP BETWEEN FINANCIAL IMPACT AND COVERAGE OF DRUGS IN AUSTRALIA
    Josephine Mauskopf, Costel Chirila, Catherine Masaquel, Kristina Secnik Boye, Lee Bowman, Julie A. Birt, David L. Grainger · 2012 · International Journal of Technology Assessment in Health Care
75. Psychometric Properties of the Nottwil Environmental Factors Inventory Short Form
    Carolina Saskia Ballert, Marcel W. M. Post, Martin W. G. Brinkhof, Jan Dietrich Reinhardt · 2014 · Archives of Physical Medicine and Rehabilitation
76. DNA methylation associated with healthy aging of elderly twins
    Sangkyu Kim, Jennifer Wyckoff, Anne-T Morris, Annemarie Succop, Ally R. Avery, Glen E. Duncan, S. Michal Jazwinski · 2018 · GeroScience
77. Fitting Prediction Rule Ensembles with R Package pre
    Marjolein Fokkema · 2020 · Journal of Statistical Software
78. Surrogate minimal depth as an importance measure for variables in random forests
    Stephan Seifert, Sven Gundlach, Silke Szymczak · 2019 · Bioinformatics
79. A methodological comparison of risk scores versus decision trees for predicting drug-resistant infections: A case study using extended-spectrum beta-lactamase (ESBL) bacteremia
    Katherine E Goodman, Justin Lessler, Anthony D. Harris, Aaron Michael Milstone, Pranita D. Tamma · 2019 · Infection Control and Hospital Epidemiology
80. Negatively phrased items of the Autism Spectrum Quotient function differently for groups with and without autism
    Joost A. Agelink van Rentergem, Anne Geeke Lever, Hilde M. Geurts · 2019 · Autism
81. Individualized treatment response prediction of dialectical behavior therapy for borderline personality disorder using multimodal magnetic resonance imaging
    Mike Michael Schmitgen, Inga Niedtfeld, Ruth Schmitt, Falk Mancke, Dorina Winter, Christian G. Schmahl, Sabine Christiane Herpertz · 2019 · Brain and Behavior
82. Classifying grass-dominated habitats from remotely sensed data: The influence of spectral resolution, acquisition time and the vegetation classification system on accuracy and thematic resolution
    Ute Bradter, Jerome O’Connell, William E. Kunin, Caroline W.H. Boffey, Richard J. Ellis, Tim G. Benton · 2019 · The Science of The Total Environment
83. Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making
    M. Pilar Romero, Yu‐Mei Chang, Lucy A. Brunton, Jessica E. Parry, Alison Prosser, Paul A. Upton, Eleanor M. Rees, Oliver Tearne, Mark Arnold, Kim Stevens et al. · 2019 · Preventive Veterinary Medicine
84. High genomic diversity in the bank vole at the northern apex of a range expansion: The role of multiple colonizations and end‐glacial refugia
    Silvia Marková, Michaela Horníková, Hayley C. Lanier, Heikki A. Henttonen, Jeremy B. Searle, Lawrence J. Weider, Petr Kotlı́k · 2020 · Molecular Ecology
85. Exploring the Potential of High-Resolution Satellite Imagery for the Detection of Soybean Sudden Death Syndrome
    Muhammad M. Raza, Chris Harding, Matt Liebman, L. F. S. Leandro · 2020 · Remote Sensing
86. Modeling Anthropogenic and Environmental Influences on Freshwater Harmful Algal Bloom Development Detected by MERIS Over the Central United States
    John S. Iiames, Wilson B. Salls, Megan H. Mehaffey, Maliha S. Nash, Jay R. Christensen, Blake A. Schaeffer · 2021 · Water Resources Research
87. Downstream Processing Technologies/Capturing and Final Purification
    Nripen Singh, Sibylle Herzer · 2017 · Advances in biochemical engineering, biotechnology
88. Algal biomass mapping of eutrophic lakes using a machine learning approach with MODIS images
    Lai, Lai, Zhang, Yuchao, Cao, Zhen, Liu, Zhaomin, Yang, Qiduo · 2023 · Science of The Total Environment
89. The most salient global predictors of adolescents’ subjective Well-Being: parental support, peer support, and anxiety
    Yi-Jhen Wu, Jihyun Lee · 2022 · Child Indicators Research
90. Associations of novel genetic variations in the folate‐related and ARID 5 B genes with the pharmacokinetics and toxicity of high‐dose methotrexate in paediatric acute lymphoblastic leukaemia
    Katalin Csordás, Orsolya Lautner‐Csorba, Ágnes F. Semsei, Andrea Harnos, Márta Hegyi, Daniel Janos Erdelyi, Olivér Eipel, Csaba Szalai, Gábor Kovács · 2014 · British Journal of Haematology
91. Small‐mammal isotope ecology tracks climate and vegetation gradients across western North America
    Tara M. Smiley, Jennifer M. Cotton, Catherine E. Badgley, Thure E. Cerling · 2015 · Oikos
92. Sparse Modeling Reveals miRNA Signatures for Diagnostics of Inflammatory Bowel Disease
    Matthias Hübenthal, Georg Hemmrich‐Stanisak, Frauke C. Degenhardt, Silke Szymczak, Zhipei Gracie Du, Abdou ElSharawy, Andreas Keller, Stefan Schreiber, André Franke · 2015 · PLoS ONE
93. Understanding the role of personality and alexithymia in food preferences and PROP taste perception
    Antonietta Robino, Massimo Mezzavilla, Nicola Pirastu, Martina La Bianca, Paolo Gasparini, Davide Carlino, Beverly J. Tepper · 2016 · Physiology & Behavior
94. Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach
    Lien T.H. Pham, Lars K. Brabyn, Salman Ashraf · 2016 · International Journal of Applied Earth Observation and Geoinformation
95. Typing pictures: Linguistic processing cascades into finger movements
    Michele Scaltritti, Barbara Arfé, Mark Torrance, Francesca Peressotti · 2016 · Cognition
96. Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root Traits
    Jiangsan Zhao, Gernot Bodner, Boris Rewald · 2016 · Frontiers in Plant Science
97. EMA remaining useful life prediction with weighted bagging GPR algorithm
    Yujie Zhang, Datong Liu, Jinxiang Yu, Yu Peng, Xiyuan Peng · 2017 · Microelectronics Reliability
98. Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children
    Stacey Alexeeff, Vincent M. Yau, Yinge Qian, Meghan N. Davignon, Frances L. Lynch, Phillip M. Crawford, Robert E. Davis, Lisa Croen · 2017 · Journal of Autism and Developmental Disorders
99. Progress and Bottlenecks in the Early Domestication of the Perennial Oilseed Silphium integrifolium, a Sunflower Substitute
    Alejandra E. Vilela, Luciana González‐Paleo, M. Kathryn Turner, Kelsey Peterson, Damián Andrés Ravetta, Timothy E. Crews, David L. Van Tassel · 2018 · Sustainability
100. Positron emission tomography–computed tomography predictors of progression after DA-R-EPOCH for PMBCL
     Chelsea Camille Pinnix, Andrea K. Ng, Bouthaina Shbib Dabaja, Sarah A. Milgrom, Jillian Rebecca Gunther, Clifton David Fuller, Grace L. Smith, Zeinab Abou Yehia, Wei Qiao, Christine F. Wogan et al. · 2018 · Blood Advances