Results 201 to 210 of about 261,614 (261)

Cultural Adaptation of an Eating Disorders Measure for South Asian American Women. [PDF]

Asian Am J Psychol
Goel NJ, Kaur B, Sullivan T, Perez M, Tummala-Narra P, Mazzeo SE.   +5 more
europepmc   +1 more source

Development and Delphi Validation of a Comprehensive High Reliability Program to Improve Nursing Work Environment and Patient Safety. [PDF]

Cureus
Almutairi AS, Said FM.
europepmc   +1 more source

Evaluation of a Hybrid Case-Based Learning and Small-Group Teaching Model Using Artificial Intelligence-Assisted Case Generation: An Innovative Dental Education Study. [PDF]

Adv Med Educ Pract
Malpe Gopal S, Venkatesh Murthy S, B R S, Patil V, Shetty T, Ramnarayan K.   +5 more
europepmc   +1 more source

Neuromorphic Technologies for Neuroengineering: From Adaptive Stimulation to SNN-Based Inference and Deployable Biointerfaces. [PDF]

Sensors (Basel)
Sun Z, Mu A, Hao F, Wang H.
europepmc   +1 more source

Bidirectional regulatory effects of exercise on emotional eating in depression: an ERP-based narrative review. [PDF]

Front Nutr
Ma W, Hou W, Zhai J, Yang H, Zhang B, Luo L.   +5 more
europepmc   +1 more source

Co-developing preoperative therapy for Dupuytren's fasciectomy: lived experience and clinical expertise. [PDF]

Res Involv Engagem
Babiker-Moore T, Schurer A, Hughes M, Clark CJ, Crook TB, Kavanagh E.   +5 more
europepmc   +1 more source

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Pseudo relevance feedback optimization

Information Retrieval Journal, 2021
We propose a method for automatic optimization of pseudo relevance feedback (PRF) in information retrieval. Based on the conjecture that the initial query’s contribution to the final query may not be necessary once a good model is built from pseudo relevant documents, we set out to optimize per query only the number of top-retrieved documents to be ...
Avi Arampatzis, Georgios Peikos, Symeon Symeonidis   +2 more
openaire   +2 more sources

Contextual relevance feedback

Proceedings of the 1st international conference on Information interaction in context - IIiX, 2006
We present results of a preliminary study of a pile-based information retrieval interface that supports contextual relevance feedback. We designed two interfaces based on the pile metaphor, one which supported contextual relevance feedback and the other which did not, and conducted a within-subjects laboratory evaluation with 24 subjects.
David J. Harper, Diane Kelly 0001
openaire   +1 more source