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5 days ago · What is Semantic Scholar? Semantic Scholar Pulling from publisher partnerships, data providers, and web crawls, this free-to-use AI-driven search and discovery toolset provides a streamlined search platform for over 200 million academic papers.
4 days ago · In this paper, we introduce a new concept of generalized convexity for E-differentiable vector optimization problems. Namely, the notion of exponentially E-invexity is defined. Further, some properties and results of exponentially E-invex functions are studied. The sufficient optimality conditions are derived under appropriate (generalized) exponentially E-invexity hypotheses. To exemplify the ...
4 days ago · Semantic Scholar helps researchers find better academic publications faster. Our engine analyzes publications and extracts important features using machine learning techniques.
3 days ago · Automating the annotation of scanned documents is challenging, requiring a balance between computational efficiency and accuracy. DocParseNet addresses this by combining deep learning and multi-modal learning to process both text and visual data. This model goes beyond traditional OCR and semantic segmentation, capturing the interplay between text and images to preserve contextual nuances in ...
4 days ago · Semantics is the study of linguistic meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends on its parts. Part of this process involves the distinction between sense and reference.
1 day ago · Research shows that semantics, activated by words, impacts object detection. Skocypec & Peterson (2022) indexed object detection via correct reports of where figures lie in bipartite displays depicting familiar objects on one side of a border. They reported 2 studies with intermixed Valid and Invalid labels shown before test displays and a third, control, study. Valid labels denoted display ...
3 days ago · Process mining algorithms essentially reflect the execution behavior of events in an event log for conformance checking, model discovery, or enhancement. Domain experts have developed several process mining algorithms based on theoretical frameworks such as linear integer programming, heuristics, and genetic algorithms, region-based and semantic-based approaches. The idea is to generate ...
