E-LIB Suche - Ergebnisse für: Menkovski, Vlado

1

Node Classification in Random Trees:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,

Nuijten, Wouter W. L. ; Menkovski, Vlado - p. 105-116 , 2024

2

Deep Reinforcement Learning for One-Warehouse Multi-Retaile..:

Kaynov, Illya ; van Knippenberg, Marijn ; Menkovski, Vlado..
International Journal of Production Economics. 267 (2024) - p. 109088 , 2024

Link: https://doi.org/10.1016/..

3

Small time asymptotics of the entropy of the heat kernel on..:

Menkovski, Vlado ; Portegies, Jacobus W. ; Ravelonanosy, Mahefa Ratsisetraina
Applied and Computational Harmonic Analysis. 71 (2024) - p. 101642 , 2024

Link: https://doi.org/10.1016/..

4

Equivariant Parameter Sharing for Porous Crystalline Materi..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,

Petković, Marko ; Romero Marimon, Pablo ; Menkovski, Vlado. - p. 129-140 , 2024

Link: https://doi.org/10.1007/..

5

Multi-Class and Cross-Tokamak Disruption Prediction using S..:

Artigues, Victor Maria Allan , 2023

Link: http://nbn-resolving.de/..

6

Hop-Count Based Self-supervised Anomaly Detection on Attrib..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Huang, Tianjin ; Pei, Yulong ; Menkovski, Vlado. - p. 225-241 , 2023

Link: https://doi.org/10.1007/..

7

Comparison of neural closure models for discretised PDEs:

Melchers, Hugo ; Crommelin, Daan ; Koren, Barry..
Computers & Mathematics with Applications. 143 (2023) - p. 94-107 , 2023

Link: https://doi.org/10.1016/..

8

Supervised learning of process discovery techniques using g..:

Sommers, Dominique ; Menkovski, Vlado ; Fahland, Dirk
Information Systems. 115 (2023) - p. 102209 , 2023

Link: https://doi.org/10.1016/..

9

Enhancing Adversarial Training via Reweighting Optimization..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,

Huang, Tianjin ; Liu, Shiwei ; Chen, Tianlong... - p. 113-130 , 2023

Link: https://doi.org/10.1007/..

10

Fast dynamic 1D simulation of divertor plasmas with neural ..:

Poels, Yoeri ; Derks, Gijs ; Westerhof, Egbert...
Nuclear Fusion. 63 (2023) 12 - p. 126012 , 2023

Link: https://doi.org/10.1088/..

11

Out-of-Distribution Generalisation with Symmetry-Based Dise..:

, In: Advances in Intelligent Data Analysis XXI; Lecture Notes in Computer Science,

Tonnaer, Loek ; Holenderski, Mike ; Menkovski, Vlado - p. 433-445 , 2023

Link: https://doi.org/10.1007/..

12

Semantic-Based Few-Shot Classification by Psychometric Lear..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,

Yin, Lu ; Menkovski, Vlado ; Pei, Yulong. - p. 392-403 , 2022

Link: https://doi.org/10.1007/..

13

Direction-aggregated Attack for Transferable Adversarial Ex..:

Huang, Tianjin ; Menkovski, Vlado ; Pei, Yulong..
ACM Journal on Emerging Technologies in Computing Systems. 18 (2022) 3 - p. 1-22 , 2022

Link: https://doi.org/10.1145/..

14

VAE-CE: Visual Contrastive Explanation Using Disentangled V..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,

Poels, Yoeri ; Menkovski, Vlado - p. 237-250 , 2022

Link: https://doi.org/10.1007/..

15

Simulation of Scientific Experiments with Generative Models:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,

Veretennikov, Stepan ; Minartz, Koen ; Menkovski, Vlado.. - p. 341-353 , 2022

Link: https://doi.org/10.1007/..