Number of items: 18.
2025
Forstenhaeusler, M., Anagnostopoulos, C. , Puthiya Parambath, S. , Külzer, D. and Weber, N.
(2025)
Leveraging Federated Learning for Decentralized Semi-Supervised Task-Informed Representation Learning on Sequential Data.
In: 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025), Glasgow, UK, 20-23 July 2025,
(Accepted for Publication)
Tan, Z., Wang, Q., Anagnostopoulos, C. , Puthiya Parambath, S. , Singer, J. and Temple, S.
(2025)
Distributed Log-driven Anomaly Detection System Based on Evolving Decision Making.
In: 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025), Glasgow, UK, 20-23 July 2025,
(Accepted for Publication)
Al-Fahad, S., Puthiya Parambath, S. , Anagnostopoulos, C. and Kolomvatsos, K.
(2025)
Node selection using adversarial expert-based multi-armed bandits in distributed computing.
Computing,
(Accepted for Publication)
2024
Puthiya Parambath, S. , Anagnostopoulos, C. and Alfahad, S. A. M.
(2024)
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration.
Data Mining and Knowledge Discovery,
(Accepted for Publication)
Puthiya Parambath, S. A. , Anagnostopoulos, C. and Murray-Smith, R.
(2024)
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback.
Data Mining and Knowledge Discovery, 38(6),
pp. 3758-3782.
(doi: 10.1007/s10618-024-01057-4)
Li, W., Anagnostopoulos, C. , Puthiya Parambath, S. and Bryson, K.
(2024)
LIFE: Leader-driven Hierarchical & Inclusive Federated Learning.
In: 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Washington D.C., USA, 15-18 Dec 2024,
(Accepted for Publication)
Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F.
(2024)
CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks.
In: 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), San Diego, CA, United States, 6-10 October 2024,
(doi: 10.1109/DSAA61799.2024.10722828)
Puthiya Parambath, S. A. , Al-Fahad, S. A. M., Anagnostopoulos, C. and Kolomvatsos, K.
(2024)
Sequential Block Elimination for Dynamic Pricing.
In: The 2nd International Workshop on Data Mining in Finance (DMF 2024) at the IEEE International Conference on Data Mining, Abu Dhabi, United Arab Emirates, 09-12 Dec 2024,
(Accepted for Publication)
Aladwani, T., Parambath, S. , Anagnostopoulos, C. and Deligianni, F.
(2024)
The Price of Labelling: A Two-Phase Federated Self-Learning Approach.
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, 9-13 September 2024,
(Accepted for Publication)
Long, Q. , Anagnostopoulos, C. , Puthiya, S. and Bi, D.
(2024)
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization.
In: IEEE ICDM 2023, Shanghai, China, 1-4 December 2023,
pp. 1187-1192.
ISBN 9798350307887
(doi: 10.1109/ICDM58522.2023.00146)
2022
Puthiya Parambath, S. A. , Liu, S., Anagnostopoulos, C. , Murray-Smith, R. and Ounis, I.
(2022)
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis.
In: 8th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2022), Madrid, Spain, 11-12 July 2022,
ISBN 9781450394123
(doi: 10.1145/3539813.3545135)
2021
Puthiya Parambath, S. , Anagnostopoulos, C. , Murray-Smith, R. , MacAvaney, S. and Zervas, E.
(2021)
Max-Utility Based Arm Selection Strategy for Sequential Query Recommendations.
In: 13th Asian Conference on Machine Learning (ACML 2021), 17-19 Nov 2021,
pp. 564-579.
2020
Puthiya Parambath, S. A. and Chawla, S.
(2020)
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations.
Data Mining and Knowledge Discovery, 34(5),
pp. 1560-1588.
(doi: 10.1007/s10618-020-00708-6)
Mohamed, A., Parambath, S. A. , Kaoudi, Z. and Aboulnaga, A.
(2020)
Popularity Agnostic Evaluation of Knowledge Graph Embeddings.
In: Thirty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI 2020), 3-6 Aug 2020,
pp. 1059-1068.
2018
Puthiya Parambath, S. A. , Vijayakumar, N. and Chawla, S.
(2018)
SAGA: A Submodular Greedy Algorithm for Group Recommendation.
In: Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA, USA, 2-7 Feb 2018,
pp. 3900-3908.
2017
Sarkar, S., Chawla, S., Ahmad, S. , Srivastava, J., Hammady, H., Filali, F., Znaidi, W. and Borge-Holthoefer, J.
(2017)
Effective urban structure inference from traffic flow dynamics.
IEEE Transactions on Big Data, 3(2),
pp. 181-193.
(doi: 10.1109/TBDATA.2016.2641003)
2016
Puthiya Parambath, S. A. , Usunier, N. and Grandvalet, Y.
(2016)
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph.
In: Proceedings of the 10th ACM Conference on Recommender Systems (RecSys '16), Boston, MA, USA, 15-19 Sept 2016,
pp. 15-22.
ISBN 9781450340359
(doi: 10.1145/2959100.2959149)
2014
Puthiya Parambath, S. , Usunier, N. and Grandvalet, Y.
(2014)
Optimizing F-measures by Cost-sensitive Classification.
In: Advances in Neural Information Processing Systems 27 (NIPS 2014), Montreal, Canada, 8-13 Dec 2014,
pp. 2123-2131.
This list was generated on Fri Mar 28 22:41:48 2025 GMT.