Arnab Sharma

29 papers A 2B 2C 3Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AI.
CoRR
Fadel Mamar Seydou, Arnab Sharma
2025 J jnl
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies.
CoRR
Ding Ning, Varvara Vetrova, Karin R. Bryan, Yun Sing Koh, Andreas Voskou, N'Dah Jean Kouagou, Arnab Sharma
2025 J jnl
Learning to Retrieve with Weakened Labels: Robust Training under Label Noise.
CoRR
Arnab Sharma
2025 — conf
Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
ISWC (1)
Adel Memariani, Michael Röder, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2025 — conf
LoSA: A Local Structural Approach to Adversarial Attack on the Knowledge Graph-based Question Answering System.
Wikidata
Neha Pokharel, Arnab Sharma, Adel Memariani, Michael Röder, Axel-Cyrille Ngonga Ngomo
2025 B conf
Parameter Averaging in Link Prediction.
K-CAP
Rupesh Sapkota, Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2025 J jnl
Parameter Averaging in Link Prediction.
CoRR
Rupesh Sapkota, Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2025 J jnl
Resilience in Knowledge Graph Embeddings.
Trans. Graph Data Knowl.
Arnab Sharma, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo
2025 — conf
Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks.
ESWC (1)
Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Adaptive Stochastic Weight Averaging.
CoRR
Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2024 — conf
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams.
EAIS
Daniel F. Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo
2024 J jnl
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams.
CoRR
Daniel Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs.
CoRR
Caglar Demir, N'Dah Jean Kouagou, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2024 — conf
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.
FUZZ
Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks.
CoRR
Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Resilience in Knowledge Graph Embeddings.
CoRR
Arnab Sharma, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo
2024 — conf
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.
FUZZ
Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 C conf
Property-Driven Black-Box Testing of Numeric Functions.
Software Engineering
Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim
2023 — —
Testing of machine learning algorithms and models.
Arnab Sharma
2022 — conf
Property-Driven Testing of Black-Box Functions.
FormaliSE@ICSE
Arnab Sharma, Vitalik Melnikov, Eyke Hüllermeier, Heike Wehrheim
2021 C conf
MLCHECK- Property-Driven Testing of Machine Learning Classifiers.
ICMLA
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
2021 J jnl
MLCheck- Property-Driven Testing of Machine Learning Models.
CoRR
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
2020 C conf
Automatic Fairness Testing of Machine Learning Models.
ICTSS
Arnab Sharma, Heike Wehrheim
2020 A conf
Higher income, larger loan? monotonicity testing of machine learning models.
ISSTA
Arnab Sharma, Heike Wehrheim
2020 J jnl
Testing Monotonicity of Machine Learning Models.
CoRR
Arnab Sharma, Heike Wehrheim
2019 B conf
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.
IM
Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim
2019 — conf
Testing Balancedness of ML Algorithms.
SE/SWM
Arnab Sharma, Heike Wehrheim
2019 A conf
Testing Machine Learning Algorithms for Balanced Data Usage.
ICST
Arnab Sharma, Heike Wehrheim
2018 J jnl
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.
CoRR
Stefan Schneider, Arnab Sharma, Holger Karl, Heike Wehrheim