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ELLAMPALLIL VENUGOPAL Vinu

Main Referenced Co-authors
THEOBALD, Martin  (8)
DALLE LUCCA TOSI, Mauro  (3)
Kumar, P Sreenivasa (2)
CHAYCHI, Samira  (1)
Chen, Jinchuan (1)
Main Referenced Keywords
Big Data (4); Stream data processing (4); sustainable-throughput (4); Neural Networks (2); Asynchronous Stochastic Gradient Descent (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (2)
Main Referenced Disciplines
Computer science (10)

Publications (total 10)

The most downloaded
176 downloads
ELLAMPALLIL VENUGOPAL, V., & Kumar, P. S. (2020). Difficulty-level modeling of ontology-based factual questions. Semantic Web. https://hdl.handle.net/10993/45328

The most cited

3 citations (OpenAlex)

ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (2020). Benchmarking Synchronous and Asynchronous Stream Processing Systems. In V. ELLAMPALLIL VENUGOPAL & M. THEOBALD, Benchmarking Synchronous and Asynchronous Stream Processing Systems (pp. 322-323). Esch-sur-Alzette, Luxembourg: ACM. doi:10.1145/3371158.3371206 https://hdl.handle.net/10993/45325

DALLE LUCCA TOSI, M., ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (2022). CONVERGENCE TIME ANALYSIS OF ASYNCHRONOUS DISTRIBUTED ARTIFICIAL NEURAL NETWORKS [Poster presentation]. 5th Joint International Conference on Data Science Management of Data (9th ACM IKDD CODS and 27th COMAD).
Peer reviewed

DALLE LUCCA TOSI, M., ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (2022). TensAIR: Real-Time Training of Neural Networks from Data-streams. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54534.

DALLE LUCCA TOSI, M., THEOBALD, M., & ELLAMPALLIL VENUGOPAL, V. (21 May 2021). Online Learning using Distributed Neural Networks [Poster presentation]. DTU DRIVEN Colloquium, Luxembourg.

ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (11 December 2020). Asynchronous Stream Data Processing using a Light-Weight and High-Performance Dataflow Engine [Paper presentation]. The Dutch-Belgian DataBase Day (DBDBD) 2020, Brussels, Belgium.

ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (10 December 2020). Effective Stream Data Processing using Asynchronous Iterative Routing Protocol [Poster presentation]. IEEE International Conference on Big Data (IEEE BigData 2020).

ELLAMPALLIL VENUGOPAL, V., THEOBALD, M., CHAYCHI, S., & TAWAKULI, A. (2020). AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. In AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing (pp. 51-58). IEEE.
Peer reviewed

Wu, Y., Chen, J., Haxhidauti, P., ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (2020). Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback. In Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback (pp. 92–106).
Peer reviewed

ELLAMPALLIL VENUGOPAL, V., & Kumar, P. S. (2020). Difficulty-level modeling of ontology-based factual questions. Semantic Web.
Peer reviewed

ELLAMPALLIL VENUGOPAL, V., & THEOBALD, M. (2020). Benchmarking Synchronous and Asynchronous Stream Processing Systems. In V. ELLAMPALLIL VENUGOPAL & M. THEOBALD, Benchmarking Synchronous and Asynchronous Stream Processing Systems (pp. 322-323). Esch-sur-Alzette, Luxembourg: ACM. doi:10.1145/3371158.3371206
Peer reviewed

ELLAMPALLIL VENUGOPAL, V., & Kumar, P. S. (2019). Improving Ontology Verbalization using Semantic-level Refinement. In Description Logics 2019: Oslo, Norway.
Peer reviewed

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