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1

STEM Workshops and Students’ Interest in Mathematics, Physics, and Computer Science: Machine Learning Approach.
Milenković, Aleksandar ; Ostojić, Dragutin ; Rajković, Dalibor ; et al.
International Journal of Instruction. Jan2026, Vol. 19 Issue 1, p367-386. 20p.

STEM education Mathematics Physics Student engagement Sociodemographic factors Computer science
*Academic Journal*
2

Counterfactual explanations for linear optimization
Jannis Kurtz ; Ş. İlker Birbil ; Dick den Hertog
European Journal of Operational Research. 329:24-41

FOS: Computer and inform... Computer Science - Machi... Optimization and Control... FOS: Mathematics Mathematics - Optimizati... Machine Learning (cs.LG)
*Academic Journal*
3

Soft regression trees: A model variant and a decomposition training algorithm
Antonio Consolo ; Edoardo Amaldi ; Andrea Manno
European Journal of Operational Research. 328:607-619

FOS: Computer and inform... Computer Science - Machi... Decomposition algorithms Machine learning Nonlinear programming Regression trees
*Academic Journal*
4

Predicting space tourism demand using explainable AI
Tan-Hanh Pham ; Jingchen Bi ; Rodrigo Mesa-Arango ; et al.
Acta Astronautica. 238:1225-1237

FOS: Computer and inform... Computer Science - Machi... Machine Learning (cs.LG)
*Academic Journal*
5

Optimizing treatment allocation in the presence of interference
Daan Caljon ; Jente Van Belle ; Jeroen Berrevoets ; et al.
European Journal of Operational Research. 328:620-632

Social and Information N... FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... Computer Science - Socia... Machine Learning (stat.M...
*Academic Journal*
6

Adaptive random Fourier features training stabilized by resampling with applications in image regression
Kammonen, Aku ; Pandey, Anamika ; von Schwerin, Erik ; et al.
Foundations of Data Science. 8:200-235

FOS: Computer and inform... Computer Science - Machi... Machine Learning (cs.LG)
*Academic Journal*
7

Neural networks for threshold dynamics reconstruction
Negrini, Elisa ; Gao, Almanzo Jiahe ; Bowering, Abigail ; et al.
Inverse Problems and Imaging. 20:202-235

Computer Science - Machi... Mathematics - Dynamical... 68T07 (Primary), 65P99,...
*Academic Journal*
8

Text clustering with large language model embeddings
Alina Petukhova ; João P. Matos-Carvalho ; Nuno Fachada ; et al.
International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 100-108 (2025)

I.7.m FOS: Computer and inform... Computer Science - Machi... Information Systems and... Computer Science - Compu... Computer Science - Artif...
*Academic Journal*
9

A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network
Kwanghyuk Park ; Xinjuan Chen ; Dongjin Lee ; et al.
Applied Numerical Mathematics. 218:1-21

FOS: Computer and inform... Computer Science - Machi... FOS: Mathematics Computer Science - Neura... Mathematics - Numerical... Numerical Analysis (math...
*Academic Journal*
10

Application of machine learning and convex limiting to subgrid flux modeling in the shallow-water equations
Ilya Timofeyev ; Alexey Schwarzmann ; Dmitri Kuzmin
Mathematics and Computers in Simulation. 238:163-178

FOS: Computer and inform... Computer Science - Machi... Physics - Atmospheric an... Statistics - Machine Lea... 65M99 Atmospheric and Oceanic...
*Academic Journal*
11

Scalarisation-based risk concepts for robust multi-objective optimisation
Ben Tu ; Nikolas Kantas ; Robert M. Lee ; et al.
European Journal of Operational Research. 327:559-576

FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... Optimization and Control... FOS: Mathematics Machine Learning (stat.M...
*Academic Journal*
12

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
Luijkx, Jelle ; Ajanovic, Zlatan ; Ferranti, Laura ; et al.
NeurIPS 2022-5th Robot Learning Workshop: Trustworthy Robotics

FOS: Computer and inform... Computer Science - Machi... I.2.10 0209 industrial biotechn... I.2.6 I.2.7
*Academic Journal*
13

What Exactly Does Guidance Do in Masked Discrete Diffusion Models
Ye, He ; Kevin, Rojas ; Molei, Tao

Statistics - Machine Lea... Computer Science - Machi...
*Report*
14

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Berner, Julius ; Liu-Schiaffini, Miguel ; Kossaifi, Jean ; et al.

Computer Science - Machi... Computer Science - Artif... Mathematics - Functional... Mathematics - Numerical...
*Report*
15

SpectralAR: Spectral Autoregressive Visual Generation
Huang, Yuanhui ; Chen, Weiliang ; Zheng, Wenzhao ; et al.

Computer Science - Compu... Computer Science - Artif... Computer Science - Machi...
*Report*
16

Build the web for agents, not agents for the web
Lù, Xing Han ; Kamath, Gaurav ; Mosbach, Marius ; et al.

Computer Science - Machi... Computer Science - Compu...
*Report*
17

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems
Karan, Aayush ; Shah, Kulin ; Chen, Sitan

Computer Science - Machi... Computer Science - Artif... Computer Science - Compu...
*Report*
18

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
Zhang, Mozhi ; Tissue, Howe ; Wang, Lu ; et al.

Computer Science - Compu... Computer Science - Artif... Computer Science - Machi...
*Report*
19

Spurious Rewards: Rethinking Training Signals in RLVR
Shao, Rulin ; Li, Shuyue Stella ; Xin, Rui ; et al.

Computer Science - Artif... Computer Science - Machi...
*Report*
20

Coupled reaction and diffusion governing interface evolution in solid-state batteries
Ding, Jingxuan ; Zichi, Laura ; Carli, Matteo ; et al.

Condensed Matter - Mater... Computer Science - Machi... Physics - Chemical Physi... Physics - Computational...
*Report*

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