E-LIB Suche - Ergebnisse für: Khosla, Megha

1

Model Selection with Model Zoo via Graph Learning:

, In: 2024 IEEE 40th International Conference on Data Engineering (ICDE),

Li, Ziyu ; Van Der Wilk, Hilco ; Zhan, Danning... - p. 1296-1309 , 2024

Link: https://doi.org/10.1109/..

2

DINE: Dimensional Interpretability of Node Embeddings:

Piaggesi, Simone ; Khosla, Megha ; Panisson, André.
IEEE Transactions on Knowledge and Data Engineering. , 2024

Link: https://doi.org/10.1109/..

3

Efficient Neural Ranking Using Forward Indexes and Lightwei..:

Leonhardt, Jurek ; Müller, Henrik ; Rudra, Koustav...
ACM Transactions on Information Systems. 42 (2024) 5 - p. 1-34 , 2024

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

4

Joint learning from multiple information sources for biolog..:

Dong, Thi Ngan , 2023

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

5

Graph learning-based generation of abstractions for reinfor..:

Xue, Yuan ; Kudenko, Daniel ; Khosla, Megha
Neural Computing and Applications. , 2023

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

6

Adhesion analysis via a tumor vasculature-like microfluidic..:

Camargo, Camila P. ; Muhuri, Abir K. ; Alapan, Yunus...
Cell Reports. 42 (2023) 3 - p. 112175 , 2023

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

7

Quantum machine learning of graph-structured data:

Beer, Kerstin ; Khosla, Megha ; Köhler, Julius..
Physical Review A. 108 (2023) 1 - p. , 2023

Link: https://doi.org/10.1103/..

8

Zorro: Valid, Sparse, and Stable Explanations in Graph Neur..:

Funke, Thorben ; Khosla, Megha ; Rathee, Mandeep.
IEEE Transactions on Knowledge and Data Engineering. 35 (2023) 8 - p. 8687-8698 , 2023

Link: https://doi.org/10.1109/..

9

General Movement Assessment in Prediction of Neurodevelopme..:

Juneja, Monica ; Einspieler, Christa ; Khosla, Megha
Indian Pediatrics. 59 (2022) 10 - p. 755-756 , 2022

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

10

Efficient Neural Ranking using Forward Indexes:

, In: Proceedings of the ACM Web Conference 2022,

Leonhardt, Jurek ; Rudra, Koustav ; Khosla, Megha.. - p. 266-276 , 2022

Link: https://dl.acm.org/doi/1..

11

MuCoMiD: A Multitask Graph Convolutional Learning Framework..:

Dong, Ngan ; Mücke, Stefanie ; Khosla, Megha
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19 (2022) 6 - p. 3081-3092 , 2022

Link: https://doi.org/10.1109/..

12

A message passing framework with multiple data integration ..:

Dong, Thi Ngan ; Schrader, Johanna ; Mücke, Stefanie.
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

13

A multitask transfer learning framework for the prediction ..:

Dong, Thi Ngan ; Brogden, Graham ; Gerold, Gisa.
BMC Bioinformatics. 22 (2021) 1 - p. , 2021

Link: https://doi.org/10.1186/..

14

Knowledge-Aware Neural Networks for Medical Forum Question ..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,

Roy, Soumyadeep ; Chakraborty, Sudip ; Mandal, Aishik... - p. 3398-3402 , 2021

Link: https://dl.acm.org/doi/1..

15

Membership Inference Attack on Graph Neural Networks:

, In: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA),

Olatunji, Iyiola E. ; Nejdl, Wolfgang ; Khosla, Megha - p. 11-20 , 2021

Link: https://doi.org/10.1109/..