Kishlay Jha

Orcid: 0000-0003-0826-445X

According to our database1, Kishlay Jha authored at least 25 papers between 2016 and 2024.

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Bibliography

2024
Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023
Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Continual knowledge infusion into pre-trained biomedical language models.
Bioinform., 2022

Demystify Hyperparameters for Stochastic Optimization with Transferable Representations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes.
ACM Trans. Knowl. Discov. Data, 2021

Knowledge-Base Enriched Word Embeddings for Biomedical Domain.
CoRR, 2021

Continual representation learning for evolving biomedical bipartite networks.
Bioinform., 2021

Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge-Guided Efficient Representation Learning for Biomedical Domain.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

InterHG: an Interpretable and Accurate Model for Hypothesis Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Correlation Networks for Extreme Multi-label Text Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
DWE-Med: Dynamic Word Embeddings for Medical Domain.
ACM Trans. Knowl. Discov. Data, 2019

A survey on literature based discovery approaches in biomedical domain.
J. Biomed. Informatics, 2019

MeSHProbeNet: a self-attentive probe net for MeSH indexing.
Bioinform., 2019

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Topic Discovery for Biomedical Corpus Using MeSH Embeddings.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Towards self-learning based hypotheses generation in biomedical text domain.
Bioinform., 2018

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Interpretable Word Embeddings for Medical Domain.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Generating Medical Hypotheses Based on Evolutionary Medical Concepts.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Augmenting word embeddings through external knowledge-base for biomedical application.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Discovering Semantic Relationships between Concepts from MEDLINE.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach.
Proceedings of the Natural Language Processing and Information Systems, 2016

Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016


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