Shameem Puthiya Parambath

According to our database, Shameem Puthiya Parambath authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization.

Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis.

Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

2021

Permutation-Invariant Subgraph Discovery.

Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla

CoRR, 2021

2020

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations.

Shameem Ahamed Puthiya Parambath, Sanjay Chawla

Data Min. Knowl. Discov., 2020

Popularity Agnostic Evaluation of Knowledge Graph Embeddings.

Aisha Mohamed, Shameem Puthiya Parambath, Zoi Kaoudi, Ashraf Aboulnaga

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Re-ranking Based Diversification: A Unifying View.

Shameem Ahamed Puthiya Parambath

CoRR, 2019

Risk Aware Ranking for Top-k Recommendations.

Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla

CoRR, 2019

2018

Reuse and Adaptation for Entity Resolution through Transfer Learning.

Saravanan Thirumuruganathan, Shameem Ahamed Puthiya Parambath, Mourad Ouzzani, Nan Tang, Shafiq R. Joty

CoRR, 2018

SAGA: A Submodular Greedy Algorithm for Group Recommendation.

Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

New methods for multi-objective learning. (Nouvelles méthodes pour l'apprentissage multi-objectifs).

Shameem Ahamed Puthiya Parambath

PhD thesis, 2016

A Coverage-Based Approach to Recommendation Diversity On Similarity Graph.

Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure.

Shameem Ahamed Puthiya Parambath, Nicolas Usunier, Yves Grandvalet

CoRR, 2015

2014

Optimizing F-Measures by Cost-Sensitive Classification.

Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

Topic Extraction and Bundling of Related Scientific Articles

Shameem Ahamed Puthiya Parambath

CoRR, 2012