Search Results - "AGICHTEIN, EUGENE"

Detecting cognitive impairment by eye movement analysis using automatic classification algorithms by Lagun, Dmitry, Manzanares, Cecelia, Zola, Stuart M., Buffalo, Elizabeth A., Agichtein, Eugene

“…► A novel application of automatic classification methods from computer science to improve the accuracy of detecting Mild Cognitive Impairment during the…”
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Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation by Lin, Chen, Yousefi, Safoora, Kahoro, Elvis, Karisani, Payam, Liang, Donghai, Sarnat, Jeremy, Agichtein, Eugene

“…Real-time air pollution monitoring is a valuable tool for public health and environmental surveillance. In recent years, there has been a dramatic increase in…”
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CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation by Salle, Alexandre, Malmasi, Shervin, Rokhlenko, Oleg, Agichtein, Eugene

“…A key application of conversational search is refining a user’s search intent by asking a series of clarification questions, aiming to improve the relevance of…”
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Finding similar questions in collaborative question answering archives: toward bootstrapping-based equivalent pattern learning by Hao, Tianyong, Agichtein, Eugene

“…Many questions submitted to Collaborative Question Answering (CQA) sites have similar questions answered before. We propose a precise approach of automatically…”
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Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval by Karisani, Payam, Qin, Zhaohui S, Agichtein, Eugene

“…The bioCADDIE dataset retrieval challenge brought together different approaches to retrieval of biomedical datasets relevant to a user’s query, expressed as a…”
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Finding similar questions in collaborative question answering archives: toward bootstrapping-based equivalent pattern learning: Information Retrieval for Social Media by TIANYONG HAO, AGICHTEIN, Eugene

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GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation by Dhole, Kaustubh, Agichtein, Eugene

“…Query Reformulation(QR) is a set of techniques used to transform a user's original search query to a text that better aligns with the user's intent and…”
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P2–287: Characterizing eye movement as a predictor of cognitive decline: Applying machine learning to improve prediction accuracy by Lagun, Dmitry, Manzanares, Cecelia, Buffalo, Elizabeth, Agichtein, Eugene, Zola, Stuart

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Characterizing eye movement as a predictor of cognitive decline: Applying machine learning to improve prediction accuracy by Lagun, Dmitry, Manzanares, Cecelia, Buffalo, Elizabeth, Agichtein, Eugene, Zola, Stuart

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Extracting synonymous gene and protein terms from biological literature by Yu, Hong, Agichtein, Eugene

“…Motivation: Genes and proteins are often associated with multiple names. More names are added as new functional or structural information is discovered…”
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Using Twitter to Study Public Discourse in the Wake of Judicial Decisions: PUBLIC REACTIONS TO THE SUPREME COURT'S SAME-SEX-MARRIAGE CASES by CLARK, TOM S., STATON, JEFFREY K., WANG, YU, AGICHTEIN, EUGENE

“…At the intersection of behavioral and institutional studies of policy making lie a series of questions about how elite choices affect mass public opinion…”
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RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search by Zhou, Jianghong, Agichtein, Eugene

“…WWW '20: Proceedings of The Web Conference 2020 April 2020 Pages 2842-2848 To support complex search tasks, where the initial information requirements are…”
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Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback by Dhole, Kaustubh D, Chandradevan, Ramraj, Agichtein, Eugene

“…Query Reformulation (QR) is a set of techniques used to transform a user's original search query to a text that better aligns with the user's intent and…”
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DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation by Chandradevan, Ramraj, Dhole, Kaustubh D, Agichtein, Eugene

“…State-of-the-art neural rankers pre-trained on large task-specific training data such as MS-MARCO, have been shown to exhibit strong performance on various…”
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An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback by Dhole, Kaustubh D, Chandradevan, Ramraj, Agichtein, Eugene

“…While search is the predominant method of accessing information, formulating effective queries remains a challenging task, especially for situations where the…”
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FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems by Wang, Zihao, Agichtein, Eugene, Choi, Jinho

“…Response ranking in dialogues plays a crucial role in retrieval-based conversational systems. In a multi-turn dialogue, to capture the gist of a conversation,…”
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Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces by Vedula, Nikhita, Castellucci, Giuseppe, Agichtein, Eugene, Rokhlenko, Oleg, Malmasi, Shervin

“…Conversational Task Assistants (CTAs) guide users in performing a multitude of activities, such as making recipes. However, ensuring that interactions remain…”
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QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration by Dhole, Kaustubh D, Bajaj, Shivam, Chandradevan, Ramraj, Agichtein, Eugene

“…Formulating effective search queries remains a challenging task, particularly when users lack expertise in a specific domain or are not proficient in the…”
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A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback by Zhou, Jianghong, Ho, Joyce C, Lin, Chen, Agichtein, Eugene

“…Interactive search can provide a better experience by incorporating interaction feedback from the users. This can significantly improve search accuracy as it…”
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Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research by Sahijwani, Harshita, Dhole, Kaustubh, Purwar, Ankur, Vasudevan, Venugopal, Agichtein, Eugene

“…Structured interviews are used in many settings, importantly in market research on topics such as brand perception, customer habits, or preferences, which are…”
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