Results 191 to 200 of about 273,034 (301)

DDI-AttendNet: cross attention with structured graph learning for inter-drug connectivity analysis. [PDF]

Front Pharmacol
Wang J, Du H, Li Y.
europepmc   +1 more source

Gradient-based boosting for statistical relational learning: The relational dependency network case [PDF]

, 2011
Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude Shavlik   +4 more
openalex   +1 more source

Equine-assisted learning and leadership transformation: an exploratory qualitative study of workplace behavior. [PDF]

Front Vet Sci
Sivagurunathan R, Senathirajah ARBS, Sivagurunathan L, Arokiasamy L, Qazi S, Haque R, Su Y.   +6 more
europepmc   +1 more source

Introduction to Statistical Relational Learning

Journal of the Royal Statistical Society Series A: Statistics in Society, 2010
openaire   +1 more source

Counseling Professionals’ Perspectives on AI Integration in Education and Supervision: A Concept Mapping Study

Counselor Education and Supervision, EarlyView.
ABSTRACT The rapid emergence of artificial intelligence (AI) has raised important questions about how new technologies will shape professional norms and practices in counseling. The purpose of this study was to understand how counseling professionals expect AI to be integrated into counselor education and supervision (CES).
Hank Crofford, Elif Bor, Gülşah Kemer
wiley   +1 more source

Inter-brain synchrony between undergraduate students during a naturalistic online seminar predicted greater relational satisfaction and task performance. [PDF]

Front Neurosci
Azhari A, Rai A, Ho HS, Jegathisan A, Gill S, Norfor N, Chen Z.   +6 more
europepmc   +1 more source

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records

, 2012
Jeremy C. Weiss, David Page, Sriraam Natarajan, Peggy Peissig, Catherine A. McCarty   +4 more
openalex   +1 more source

Statistical Relational Learning of Natural Language

, 2014
While understanding natural language is easy for humans, it is complex forcomputers. The main reasons for this can be found in the structural nature andthe inherent ambiguity of natural language. Correctly interpreting languagetherefore requires one to take into account the necessary context.
openaire   +1 more source

Asynchronous LGBTQ+ Affirming Counseling Training With Early Career Counselors: A Mixed Methods Program Evaluation

Counselor Education and Supervision, EarlyView.
ABSTRACT A growing body of research shows that training in LGBTQ+ affirming counseling (LGBTQ+ AC) positively impacts counselors’ perceived knowledge and skills in providing mental health services to LGBTQ+ communities. Existing program evaluations of LGBTQ+ AC, however, have primarily used synchronous delivery formats and cultural competency models ...
Amber L. Pope, Kelli Hartzell, Matt B. Siroty, Jeff Moe, Noelle St. Germain‐Sehr, Bianca R. Augustine, Amanda St. Germain‐Sehr, Tai Lexumé   +7 more
wiley   +1 more source

Learning Outcomes of Interactive Online Cases in Veterinary Epidemiology and Bacteriology Education: A Survey Study. [PDF]

Adv Med Educ Pract
Koort J, Koskinen HI, Virtala AM, Åvall-Jääskeläinen S.   +3 more
europepmc   +1 more source