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Books and Theses
- 2016
[b1]Shameem Ahamed Puthiya Parambath:
New methods for multi-objective learning. (Nouvelles méthodes pour l'apprentissage multi-objectifs). University of Technology of Compiègne, France, 2016
Journal Articles
- 2020
- [j1]Shameem Ahamed Puthiya Parambath, Sanjay Chawla:
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations. Data Min. Knowl. Discov. 34(5): 1560-1588 (2020)
Conference and Workshop Papers
- 2023
- [c6]Qianyu Long
, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi:
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. ICDM 2023: 1187-1192 - 2022
- [c5]Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis:
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. ICTIR 2022: 108-114 - 2020
- [c4]Aisha Mohamed, Shameem Puthiya Parambath, Zoi Kaoudi, Ashraf Aboulnaga:
Popularity Agnostic Evaluation of Knowledge Graph Embeddings. UAI 2020: 1059-1068 - 2018
- [c3]Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
SAGA: A Submodular Greedy Algorithm for Group Recommendation. AAAI 2018: 3900-3908 - 2016
- [c2]Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet:
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. RecSys 2016: 15-22 - 2014
- [c1]Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet:
Optimizing F-Measures by Cost-Sensitive Classification. NIPS 2014: 2123-2131
Informal and Other Publications
- 2023
- [i8]Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi:
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. CoRR abs/2309.06805 (2023) - 2021
- [i7]Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla:
Permutation-Invariant Subgraph Discovery. CoRR abs/2104.01063 (2021) - 2019
- [i6]Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
Risk Aware Ranking for Top-k Recommendations. CoRR abs/1904.05325 (2019) - [i5]Shameem Ahamed Puthiya Parambath:
Re-ranking Based Diversification: A Unifying View. CoRR abs/1906.11285 (2019) - 2018
- [i4]Saravanan Thirumuruganathan, Shameem Ahamed Puthiya Parambath, Mourad Ouzzani, Nan Tang, Shafiq R. Joty:
Reuse and Adaptation for Entity Resolution through Transfer Learning. CoRR abs/1809.11084 (2018) - 2017
- [i3]Shameem Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
SAGA: A Submodular Greedy Algorithm For Group Recommendation. CoRR abs/1712.09123 (2017) - 2015
- [i2]Shameem Ahamed Puthiya Parambath, Nicolas Usunier, Yves Grandvalet:
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. CoRR abs/1505.00199 (2015) - 2012
- [i1]Shameem Ahamed Puthiya Parambath:
Topic Extraction and Bundling of Related Scientific Articles. CoRR abs/1212.5423 (2012)
Coauthor Index
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