Dr. Arnab Sharma

Data Science / Heinz Nixdorf Institut

Postdoc

E-Mail:
arnab.sharma@uni-paderborn.de
Telefon:
+49 5251 60-1764
ORCID:
0009-0007-8515-5253
Web:
Homepage
Büro­anschrift:
Fürstenallee 11
33102 Paderborn
Raum:
F1.301

Publikationen

Aktuelle Publikationen

Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees

A. Sharma, D. Leite, C. Demir, A.-C.N. Ngomo, in: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2024.

DOI

Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers

D. Leite, A. Sharma, C. Demir, A.-C. Ngomo, in: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2024.

DOI

Inference over Unseen Entities, Relations and Literals on Knowledge Graphs

C. Demir, N.J. KOUAGOU, A. Sharma, A.-C. Ngonga Ngomo, Arxiv (2024).

DOI

EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams

D. Leite, A. Silva, G. Casalino, A. Sharma, D. Fortunato, A.-C. Ngomo, in: 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), IEEE, 2024.

DOI

Resilience in Knowledge Graph Embeddings

A. Sharma, N.J. KOUAGOU, A.-C. Ngonga Ngomo, Arxiv (2024).

DOI

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Lehre


Laufende Lehrveranstaltungen

  • Seminar: Large AI Models (in English)