Results 191 to 200 of about 8,838,426 (323)

Radiomics-based causal machine learning for exploratory treatment-effect estimation of neoadjuvant chemotherapy cycle intensity in osteosarcoma: a proof-of-concept study. [PDF]

BMC Med Imaging
Yuan Z, Wang R, Zhang H, Zheng Z, Zhou X, Xing J, Zhai W, Cao X, Zhao C, Zhou T, Fan L, Yang C.   +11 more
europepmc   +1 more source

Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

Advanced Functional Materials, EarlyView.
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Pham Anh Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou   +7 more
wiley   +1 more source

Position: topological deep learning is the new frontier for relational learning

Topological deep learning (TDL) is a rapidly evolving field that uses topological features to understand and design deep learning models. This paper posits that TDL is the new frontier for relational learning.
Nasrin, F, Ramamurthy, KN, Curry, J, Liò, P, Maroulas, V, Gao, Y, Carlsson, G, Kwitt, R, Wang, Y, Zamzmi, G, Veličković, P, Wang, B, Papamarkou, T, Hajij, M, Schaub, MT, Wei, GW, Scardapane, S, Bronstein, M, Birdal, T, Rieck, B, Miolane, N, Di Lorenzo, P   +21 more
core  

Hybrid Ferroelectric Tunnel Junctions with Intrinsic Nonlinearity and Self‐Rectification via Interfacial Reconstruction

Advanced Functional Materials, EarlyView.
Rapid thermal annealing reconstructs the BCFO/Nb:STO interface into an atomically thin reconstructed interfacial layer, which reshapes the tunneling barrier and converts a high‐TER ferroelectric tunnel junction into an intrinsically nonlinear, self‐rectifying device.
Hojin Lee, Joonbong Lee, Jinho Byun, Sang‐Hyeok Yang, A young Cho, Sangwoo Lee, Dae Haa Ryu, Hyunbin Chung, Hee Seo Yun, Moon Seop Choi, Yesul Choi, Sungkyun Park, Min‐Hyung Jung, Dongwon Lee, Yoon‐Uk Heo, Hu Young Jeong, Hongseok Kim, Shinhyeong Lee, Yunseok Kim, Young‐Min Kim, Jaekwang Lee, Taekjib Choi   +21 more
wiley   +1 more source

Consistent analgesic effect of intravenous dexamethasone on rebound pain after brachial plexus block: a causal machine learning approach. [PDF]

Korean J Pain
Hong B, Jo Y, Shin M, Min W, Chung W, Oh C.   +5 more
europepmc   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Invariance & Causal Representation Learning: Prospects and Limitations [PDF]

Learning causal representations without assumptions is known to be fundamentally impossible, thus establishing the need for suitable inductive biases. At the same time, the invariance of causal mechanisms has emerged as a promising principle to address
Runge, Jakob, Bing, Simon, Ninad, Urmi, Wahl, Jonas, Hochsprung, Tom   +4 more
core  

Causal machine learning methods for understanding land use and land cover change. [PDF]

Landsc Ecol
Eigenbrod F, Alexander P, Apfel N, Athanasiadis IN, Berger T, Bullock JM, Duveiller G, Equihua J, Menezes I, Moreira R, Paudel D, Sitokonstantinou V, Reichstein M, Willcock S, Woodman T.   +14 more
europepmc   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

Gaussian Processes with Bayesian Inference of Covariate Couplings

Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Gaussian processes are powerful probabilistic models that are often coupled with Automatic Relevance Determination (ard) capable of uncovering the importance of ...
Rosso, Mattia, Filippone, Maurizio, Ylä-Jääski, Juho, Heinonen, Markus, Shen, Zheyang   +4 more
core