Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Surveying biomedical relation extraction: a critical examination of current datasets and the proposal of a new resource
MS Huang, JC Han, PY Lin, YT You… - Briefings in …, 2024 - academic.oup.com
Natural language processing (NLP) has become an essential technique in various fields,
offering a wide range of possibilities for analyzing data and develo** diverse NLP tasks. In …
offering a wide range of possibilities for analyzing data and develo** diverse NLP tasks. In …
Experiments on the use of feature selection and negative evidence in automated text categorization
We tackle two different problems of text categorization (TC), namely feature selection and
classifier induction. Feature selection (FS) refers to the activity of selecting, from the set of r …
classifier induction. Feature selection (FS) refers to the activity of selecting, from the set of r …
Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning
Computer aided synthesis planning of synthetic pathways with green process conditions has
become of increasing importance in organic chemistry, but the large search space inherent …
become of increasing importance in organic chemistry, but the large search space inherent …
Learning to laugh (automatically): Computational models for humor recognition
Humor is one of the most interesting and puzzling aspects of human behavior. Despite the
attention it has received in fields such as philosophy, linguistics, and psychology, there have …
attention it has received in fields such as philosophy, linguistics, and psychology, there have …
Systematic review using a spiral approach with machine learning
With the accelerating growth of the academic corpus, doubling every 9 years, machine
learning is a promising avenue to make systematic review manageable. Though several …
learning is a promising avenue to make systematic review manageable. Though several …
Improving rare disease classification using imperfect knowledge graph
Background Accurately recognizing rare diseases based on symptom description is an
important task in patient triage, early risk stratification, and target therapies. However, due to …
important task in patient triage, early risk stratification, and target therapies. However, due to …
MDTS: automatic complex materials design using Monte Carlo tree search
Complex materials design is often represented as a black-box combinatorial optimization
problem. In this paper, we present a novel python library called MDTS (Materials Design …
problem. In this paper, we present a novel python library called MDTS (Materials Design …
Decision making in open agent systems
In many real‐world applications of AI, the set of actors and tasks are not constant, but
instead change over time. Robots tasked with suppressing wildfires eventually run out of …
instead change over time. Robots tasked with suppressing wildfires eventually run out of …
Support vector machines for predicting HIV protease cleavage sites in protein
Abstract Knowledge of the polyprotein cleavage sites by HIV protease will refine our
understanding of its specificity, and the information thus acquired is useful for designing …
understanding of its specificity, and the information thus acquired is useful for designing …
How climate change skeptics (try to) spread their ideas: Using computational methods to assess the resonance among skeptics' and legacy media
We study the discursive resonance of online climate skepticism in traditional media in
Germany, a country where climate skeptics lack public prestige and thus form a political …
Germany, a country where climate skeptics lack public prestige and thus form a political …