Solving difficult LR parsing conflicts by postponing them
C. Rodrı́guez, Luis García-Forte
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets. [PDF]
Rani R +7 more
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prPred: A Predictor to Identify Plant Resistance Proteins by Incorporating k-Spaced Amino Acid (Group) Pairs. [PDF]
Wang Y +5 more
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Sentiment Analysis of Persian Movie Reviews Using Deep Learning. [PDF]
Dashtipour K +4 more
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Bottom up Fuzzy Parsers: Fuzzy Simple LR, Fuzzy Canonical LR and Fuzzy LALR Parsers for Parsing Natural language [PDF]
Suvarna G. Kanakaraddi +1 more
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Pulse, Parse, and Ponder: Using Invisible XML to Dissect a Scientific Domain Specific Language. [PDF]
Courtney JM, Gryk MR.
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Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction. [PDF]
Khan B, Nadeem A.
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Efficient incremental LR parsing for syntax-directed editors [PDF]
Pierpaolo Degano, S. Mannucci, B. Mojana
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Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy. [PDF]
Shakeri A, Farmanbar M.
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A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications. [PDF]
Mcmurray S, Sodhro AH.
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