Topic Extraction and Bundling of Related Scientific Articles - Shameem Ahamed Puthiya Parambath (CoRR, 2012)

Optimizing F-Measures by Cost-Sensitive Classification. - Shameem Puthiya Parambath; Nicolas Usunier; Yves Grandvalet (NIPS, 2014)

Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. - Shameem Ahamed Puthiya Parambath; Nicolas Usunier; Yves Grandvalet (CoRR, 2015)

A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. - Shameem Puthiya Parambath; Nicolas Usunier; Yves Grandvalet (RecSys, 2016)

New methods for multi-objective learning. (Nouvelles méthodes pour l'apprentissage multi-objectifs). - Shameem Ahamed Puthiya Parambath (2016)

SAGA: A Submodular Greedy Algorithm for Group Recommendation. - Shameem Ahamed Puthiya Parambath; Nishant Vijayakumar; Sanjay Chawla (AAAI, 2018)

Reuse and Adaptation for Entity Resolution through Transfer Learning. - Saravanan Thirumuruganathan; Shameem Ahamed Puthiya Parambath; Mourad Ouzzani; Nan Tang 001; Shafiq R. Joty (CoRR, 2018)

Risk Aware Ranking for Top-k Recommendations. - Shameem Ahamed Puthiya Parambath; Nishant Vijayakumar; Sanjay Chawla (CoRR, 2019)

Re-ranking Based Diversification: A Unifying View. - Shameem Ahamed Puthiya Parambath (CoRR, 2019)

Popularity Agnostic Evaluation of Knowledge Graph Embeddings. - Aisha Mohamed; Shameem Puthiya Parambath; Zoi Kaoudi; Ashraf Aboulnaga (UAI, 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)

Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. - Shameem Ahamed Puthiya Parambath; Christos Anagnostopoulos 001; Roderick Murray-Smith; Sean MacAvaney; Evangelos Zervas (ACML, 2021)

Permutation-Invariant Subgraph Discovery. - Raghvendra Mall; Shameem Ahamed Puthiya Parambath; Han Yufei; Ting Yu 001; Sanjay Chawla (CoRR, 2021)

Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. - Shameem Puthiya Parambath; Siwei Liu 001; Christos Anagnostopoulos 001; Roderick Murray-Smith; Iadh Ounis (ICTIR, 2022)

Improving Sequential Query Recommendation with Immediate User Feedback. - Shameem Ahamed Puthiya Parambath; Christos Anagnostopoulos 001; Roderick Murray-Smith (CoRR, 2022)

FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. - Qianyu Long; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Daning Bi (ICDM, 2023)

LIFE: Leader-driven Hierarchical & Inclusive Federated Learning. - Wenhao Li 004; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Kevin Bryson 001 (IEEE Big Data, 2024)

CL-FML: Cluster-Based & Label-Aware Federated Meta-Learning for On-Demand Classification Tasks. - Tahani Aladwani; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Fani Deligianni (DSAA, 2024)

Sequential Block Elimination for Dynamic Pricing. - Shameem Puthiya Parambath; Saleh Abdullah M. Alfahad; Christos Anagnostopoulos 001; Kostas Kolomvatsos (ICDM (Workshops), 2024)

The Price of Labelling: A Two-Phase Federated Self-learning Approach. - Tahani Aladwani; Shameem Puthiya Parambath; Christos Anagnostopoulos 001; Fani Deligianni (ECML/PKDD (4), 2024)

Unified Semantic Log Parsing and Causal Graph Construction for Attack Attribution. - Zhuoran Tan; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Jeremy Singer (CoRR, 2024)

Unified Semantic Log Parsing and Causal Graph Construction for Attack Attribution. - Zhuoran Tan; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Jeremy Singer (Zenodo, 2024)

Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback. - Shameem Ahamed Puthiya Parambath; Christos Anagnostopoulos 001; Roderick Murray-Smith (Data Min. Knowl. Discov., 2024)

Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration. - Shameem Puthiya Parambath; Christos Anagnostopoulos 001; Saleh Abdullah M. Alfahad (Data Min. Knowl. Discov., 2025)

Node selection using adversarial expert-based multi-armed bandits in distributed computing. - Saleh ALFahad; Shameem Puthiya Parambath; Christos Anagnostopoulos 001; Kostas Kolomvatsos (Computing, 2025)

Advanced Persistent Threats Based on Supply Chain Vulnerabilities: Challenges, Solutions, and Future Directions. - Zhuoran Tan; Shameem Puthiya Parambath; Christos Anagnostopoulos 001; Jeremy Singer; Angelos K. Marnerides (IEEE Internet Things J., 2025)

Distributed Log-driven Anomaly Detection System based on Evolving Decision Making. - Zhuoran Tan; Qiyuan Wang 003; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Jeremy Singer; Sam Temple (CoRR, 2025)

STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data. - Maxmilian Forstenhäusler; Daniel Külzer; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Natascha Weber (CoRR, 2025)