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Naren Ramakrishnan

6 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. <i>NActSeer</i>

    2019

    Nowadays social network platforms like Twitter, Facebook, Weibo have created a new landscape to communicate with our friends and the world at large. In this landscape our social activities, purchase decisions, check-ins etc. become available …

  2. Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19

    2021 · Proceedings of the AAAI Conference on Artificial Intelligence

    Forecasting influenza in a timely manner aids health organizations and policymakers in adequate preparation and decision making. However, effective influenza forecasting still remains a challenge despite increasing research interest. It is even more challenging amidst …

  3. Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback

    2022 · arXiv (Cornell University)

    Anomaly detection is a ubiquitous and challenging task relevant across many disciplines. With the vital role communication networks play in our daily lives, the security of these networks is imperative for smooth functioning of society. …

  4. Improving Zero-Shot Event Extraction via Sentence Simplification

    2022

    The success of sites such as ACLED and Our World in Data have demonstrated the massive utility of extracting events in structured formats from large volumes of textual data in the formof news, social media, …

  5. Steering LLM Summarization with Visual Workspaces for Sensemaking

    2024 · arXiv (Cornell University)

    Large Language Models (LLMs) have been widely applied in summarization due to their speedy and high-quality text generation. Summarization for sensemaking involves information compression and insight extraction. Human guidance in sensemaking tasks can prioritize and …

  6. Deep Reinforcement Learning for Sequence-to-Sequence Models

    2019 · IEEE Transactions on Neural Networks and Learning Systems

    In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity and provide state-of-the-art performance in a wide variety of tasks, such as machine translation, headline generation, text summarization, speech-to-text conversion, and image caption …