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ARTIFICIAL INTELLIGENCE AND GENDER EQUALITY: A SYSTEMATIC MAPPING STUDY
J. David Patón-Romero, Ricardo Vinuesa, Letizia Jaccheri and Maria Teresa Baldassarre
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IMPROVING PHISHING DETECTION VIA PSYCHOLOGICAL TRAIT SCORING
Sadat Shahriar, Arjun Mukherjee and Omprakash Gnawali
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HUMAN MOVEMENT VARIABILITY ANALYSIS IN OFFICE-WORKERS: A REVIEW
Maria Eduarda Oliosi, Catia Cepeda, Luís Silva, Daniel Zagalo, Phillip Probst, Ana Rita Pinheiro, João Paulo Vilas-Boas and Hugo Gamboa
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CHARACTERIZING MEDICAL ANDROID APPS
Raina Samuel, Iulian Neamtiu, Sydur Rahaman and James Geller
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COULD MEDICAL APPS KEEP THEIR PROMISES?
Raina Samuel, Iulian Neamtiu and Sydur Rahaman
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SINGLE MR IMAGE SUPER-RESOLUTION USING GENERATIVE ADVERSARIAL NETWORK
Shawkh Ibne Rashid, Elham Shakibapour and Mehran Ebrahimi
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CLINICAL DETERIORATION PREDICTION IN BRAZILIAN HOSPITALS BASED ON ARTIFICIAL NEURAL NETWORKS AND TREE DECISION MODELS
Hamed Yazdanpanah, Augusto C. M. Silva, Murilo Guedes, Hugo M. P. Morales, Leandro dos S. Coelho and Fernando G. Moro
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FEATURE UTILIZATION BY MACHINE LEARNING MODELS FOR COLON CANCER CLASSIFICATION
Douglas F. Redd, Qing Zeng-Treitler, Yijun Shao, Laura J. Myers, Barry C. Barker, Stuart J. Nelson and Thomas F. Imperiale
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CHARACTERIZING THE CLINICAL LANGUAGE OF OPIOID USE DISORDER
Terri Elizabeth Workman, Joel Kupersmith, Cynthia A. Brandt, Christopher J. Spevak and Qing Zeng-Treitler
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A PARSIMONIOUS MACHINE LEARNING APPROACH TO DETECT INAPPROPRIATE TREATMENTS IN SPINE SURGERY ON THE BASIS OF PATIENT-REPORTED OUTCOMES
Lorenzo Famiglini, Frida Milella, Pedro Berjano and Federico Cabitza
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A HUMAN-COMPUTER INTERACTION METHOD BASED ON U-NET CONVOLUTIONAL NEURAL NETWORK FOR TARGET MOLECULE OBSERVATION
Wenbin Yin, Xinfeng Zhang, Jinpeng Fang, Xudong Zhou and Bin Li
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TESTING PUBLIC WARNING SYSTEMAT SCHOOL WITH USER INVOLVEMENT - CASE STUDY FROM A RURAL COMMUNITY
Anna Maria Urbaniak-Brekke, Øyvind Heimset Larsen and Ivar Petter Grøtte
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