Results 251 to 260 of about 1,259,858 (300)

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Benchmarking retrieval augmented generation LLMs for Arabic noise robustness. [PDF]

Front Big Data
Almohaimeed S, Alabduljabbar A, Jari M, Alkhowaiter M, Almohaimeed S, Al Rahhal MM.   +5 more
europepmc   +1 more source

Towards robust foundation models for digital pathology. [PDF]

Nat Commun
Kömen J, de Jong ED, Hense J, Marienwald H, Dippel J, Naumann P, Marcus E, Ruff L, Alber M, Teuwen J, Klauschen F, Müller KR.   +11 more
europepmc   +1 more source

Causal deconfounding for robust link prediction in multimodal knowledge networks. [PDF]

Sci Rep
Li B, Xiao C.
europepmc   +1 more source

AgroPatch AutoStrike for adversarial patch attacks on plant disease detection models. [PDF]

iScience
Wu Y, Wang M, Jin X, Dai Y, Liu L, Yuan W, Ye Y, Zhu Z, Gu L, Zhang Y.   +9 more
europepmc   +1 more source

The relationship between parity and late-life frailty: companion dogs as a preclinical model for evaluating factors that aggravate or mitigate the frailty cost of reproduction. [PDF]

J Gerontol A Biol Sci Med Sci
Waters DJ, Maras AH, Fu R, Carrillo AE, Chiang EC, Suckow CL.   +5 more
europepmc   +1 more source

Bayesian selective scan for robust long-horizon action recognition via reliability-aware discretization. [PDF]

Front Robot AI
Wang C.
europepmc   +1 more source

Robust robust model reduction

Proceedings of the 2004 American Control Conference, 2004
The problem of linear model reduction is addressed. Given a state-space model of a linear time-invariant system, a model of prescribed order is obtained such that the H/sub 2/-norm of the difference between the transference of the two models is minimized. The reduced model is modeled as having the same order as the system but with a nonminimal observer
Yoram Halevi, Uri Shaked
openaire   +1 more source

Robust kernels for robust location estimation

Neurocomputing, 2021
Abstract This paper shows that least-square estimation (mean calculation) in a reproducing kernel Hilbert space (RKHS) F corresponds to different M-estimators in the original space depending on the kernel function associated with F . In particular, we present a proof of the correspondence of mean estimation in an RKHS for the Gaussian ...
Joseph Alejandro Gallego, Fabio A. González 0001, Olfa Nasraoui   +2 more
openaire   +2 more sources

Robust Matchings

SIAM Journal on Discrete Mathematics, 2002
Summary: We consider complete graphs with nonnegative edge weights. A \(p\)-matching is a set of \(p\) disjoint edges. We prove the existence of a maximal (with respect to inclusion) matching \(M\) that contains for any \(p\leq|M|\) \(p\) edges whose total weight is at least \({1\over \sqrt 2}\) of the maximum weight of a \(p\)-matching.
Refael Hassin, Shlomi Rubinstein
openaire   +3 more sources