Results 161 to 170 of about 2,622 (248)

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

British Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao   +4 more
wiley   +1 more source

Management of a Uterine Fibroid Originating From a Rudimentary Horn in a Patient With Mayer-Rokitansky-Küster-Hauser Syndrome: Report of a Rare Case. [PDF]

Cureus
Tsakos E, Xydias EM, Emmanouil V, Ziogas AC, Tsagias N.   +4 more
europepmc   +1 more source

Pregnancy in a Unicornuate Uterus with Non-Communicating Rudimentary Horn: Diagnostic and Therapeutic Challenges. [PDF]

Acta Med Litu, 2020
Delić R.
europepmc   +1 more source

Too good to be true: Synthetic AI faces are more average than real faces and super‐recognizers know it

British Journal of Psychology, EarlyView.
Abstract The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super‐recognizers – people with exceptional ability to recognize human faces (N = 36) – outperformed a typical
James D. Dunn, David White, Clare A. M. Sutherland, Elizabeth J. Miller, Ben A. Steward, Amy Dawel   +5 more
wiley   +1 more source

Imaging diagnosis of rudimentary horn pregnancy: a case report. [PDF]

AME Case Rep
Ji J, Tan L, Lv K.
europepmc   +1 more source

Rupture of Non-communicating Rudimentary Horn of Uterus at 12 Weeks' Gestation. [PDF]

Cureus, 2020
Bruand M, Thubert T, Winer N, Gueudry P, Dochez V.   +4 more
europepmc   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Pregnancy in a rudimentary horn

Journal of Obstetrics and Gynaecology, 1995
Caroline E. Overton, D. J. C. Felton
openaire   +1 more source

Extending reliability to intensive longitudinal data with the Kalman filter

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley   +1 more source

Rupture of non-communicating rudimentary horn at 35 weeks ending with a live birth: A case report. [PDF]

Int J Surg Case Rep
Taifour W, Aljammal G, Bhsass R, Almnashef R, Alshikh Y, Adwan D.   +5 more
europepmc   +1 more source