Results 21 to 30 of about 13,074 (260)
Variant Ranker: a web-tool to rank genomic data according to functional significance
Background The increasing volume and complexity of high-throughput genomic data make analysis and prioritization of variants difficult for researchers with limited bioinformatics skills.
John Alexander +4 more
doaj +1 more source
Propose Data Mining System to Advance E-Learning Over Online Social Network (Facebook) [PDF]
This research presents a proposal to advance e-learning over online social network, facebook, through analyzing the structure of this network and the behavior of their users.
Soukaena Hassan Hashem +1 more
doaj +1 more source
EFSIS: Ensemble Feature Selection Integrating Stability [PDF]
Ensemble learning that can be used to combine the predictions from multiple learners has been widely applied in pattern recognition, and has been reported to be more robust and accurate than the individual learners.
Jonassen, Inge, Zhang, Xiaokang
core +2 more sources
12 ...
Fan, Xinyan +5 more
openaire +2 more sources
A scalable saliency-based Feature selection method with instance level information [PDF]
Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge extraction.
Alonso-Betanzos, Amparo +3 more
core +2 more sources
Understanding BERT Rankers Under Distillation [PDF]
Deep language models such as BERT pre-trained on large corpus have given a huge performance boost to the state-of-the-art information retrieval ranking systems. Knowledge embedded in such models allows them to pick up complex matching signals between passages and queries.
Gao, Luyu, Dai, Zhuyun, Callan, Jamie
openaire +2 more sources
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines.
Andre Esteva +6 more
doaj +1 more source
Design and Analysis of a Collaborative Story Generation Game for Social Robots
Storytelling plays a central role in human socializing and entertainment, and research on conducting storytelling with robots is gaining interest. However, much of this research assumes that story content is curated.
Eric Nichols +3 more
doaj +1 more source
Neural Response Ranking for Social Conversation: A Data-Efficient Approach [PDF]
The overall objective of 'social' dialogue systems is to support engaging, entertaining, and lengthy conversations on a wide variety of topics, including social chit-chat.
Dušek, Ondřej +2 more
core +2 more sources
The objective of this study was to isolate and identify the intracellular bioactive peptides from mouse lymphocytes before and after lipopolysaccharide (LPS) stimulation, to explore novel peptides and to research the bioactive function.
Juan Wang +6 more
doaj +1 more source

