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Puthiya Parambath, Shameem A.
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1

Parameter Tuning of Reranking-based Diversification Algorit..:

, In: Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval,
Puthiya Parambath, Shameem ; Liu, Siwei ; Anagnostopoulos, Christos.. - p. 108-114 , 2022
Link: https://dl.acm.org/doi/1..
 
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2

Simple and effective neural-free soft-cluster embeddings fo..:

Puthiya Parambath, Shameem A. ; Chawla, Sanjay
Data Mining and Knowledge Discovery.  34 (2020)  5 - p. 1560-1588 , 2020
Link: https://doi.org/10.1007/..
 
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3

A Coverage-Based Approach to Recommendation Diversity On Si..:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Puthiya Parambath, Shameem A. ; Usunier, Nicolas ; Grandvalet, Yves - p. 15-22 , 2016
Link: https://dl.acm.org/doi/1..
 
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4

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

, In: 2023 IEEE International Conference on Data Mining (ICDM),
Long, Qianyu ; Anagnostopoulos, Christos ; Parambath, Shameem Puthiya. - p. 1187-1192 , 2023
Link: https://doi.org/10.1109/..
 
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5

Parameter Tuning of Reranking-based Diversification Algorit..:

Puthiya Parambath, Shameem A ; Liu, Siwei ; Anagnostopoulos, Christos..
https://eprints.gla.ac.uk/273316/3/273316.pdf.  , 2022
Link: https://eprints.gla.ac.u..
 
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6

Simple and effective neural-free soft-cluster embeddings fo..:

Puthiya Parambath, Shameem A ; Chawla, Sanjay
http://eprints.gla.ac.uk/226171/1/226171.pdf.  , 2020
Link: http://eprints.gla.ac.uk..
 
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7

New methods for multi-objective learning ; Nouvelles méthod..:

Puthiya Parambath, Shameem Ahamed
NNT: 2016COMP2322.  , 2016
Link: https://tel.archives-ouv..
 
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8

New methods for multi-objective learning ; Nouvelles méthod..:

Puthiya Parambath, Shameem Ahamed
http://www.theses.fr/2016COMP2322/document.  , 2016
Link: http://www.theses.fr/201..
 
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9

New methods for multi-objective learning ; Nouvelles méthod..:

Puthiya Parambath, Shameem Ahamed
NNT: 2016COMP2322.  , 2016
Link: https://theses.hal.scien..
 
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10

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

Long, Qianyu ; Anagnostopoulos, Christos ; Parambath, Shameem Puthiya.
http://arxiv.org/abs/2309.06805.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Improving Sequential Query Recommendation with Immediate Us..:

Parambath, Shameem A Puthiya ; Anagnostopoulos, Christos ; Murray-Smith, Roderick
http://arxiv.org/abs/2205.06297.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Max-Utility Based Arm Selection Strategy For Sequential Que..:

Parambath, Shameem A. Puthiya ; Anagnostopoulos, Christos ; Murray-Smith, Roderick..
http://arxiv.org/abs/2108.13810.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Risk Aware Ranking for Top-$k$ Recommendations:

Parambath, Shameem A Puthiya ; Vijayakumar, Nishant ; Chawla, Sanjay
http://arxiv.org/abs/1904.05325.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

Re-ranking Based Diversification: A Unifying View:

Parambath, Shameem A Puthiya
http://arxiv.org/abs/1906.11285.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

Reuse and Adaptation for Entity Resolution through Transfer..:

Thirumuruganathan, Saravanan ; Parambath, Shameem A Puthiya ; Ouzzani, Mourad..
http://arxiv.org/abs/1809.11084.  , 2018
Link: http://arxiv.org/abs/180..
 
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