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Found 9 papers, 1 papers with code
The complementary contributions of academia and industry to AI research
Artificial intelligence (AI) has seen tremendous development in industry and academia.
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
The rapid advancement of AI technology has made text generation tools like GPT-3 and ChatGPT increasingly accessible, scalable, and effective.
Predicting the longevity of resources shared in scientific publications
We discover that the most important factors are related to where and how the resource is shared, and surprisingly little is explained by the author's reputation or prestige of the journal.
EILEEN: A recommendation system for scientific publications and grants
Finding relevant scientific articles is crucial for advancing knowledge.
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations
When there is a suspicious figure reuse case in science, research integrity investigators often find it difficult to rebut authors claiming that "it happened by chance".
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets
Scientific image tampering is a problem that affects not only authors but also the general perception of the research community.
Assigning credit to scientific datasets using article citation networks
We evaluate the quality of DataRank by estimating its accuracy at predicting the usage of real datasets: web visits to GenBank and downloads of Figshare datasets.
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models
Detecting biases in artificial intelligence has become difficult because of the impenetrable nature of deep learning.
Science Concierge: A fast content-based recommendation system for scientific publications
Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles.
