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521 results on '"Helal, Sumi"'

1. When Search Engine Services meet Large Language Models: Visions and Challenges

Author

Xiong, Haoyi, Bian, Jiang, Li, Yuchen, Li, Xuhong, Du, Mengnan, Wang, Shuaiqiang, Yin, Dawei, and Helal, Sumi

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Combining Large Language Models (LLMs) with search engine services marks a significant shift in the field of services computing, opening up new possibilities to enhance how we search for and retrieve information, understand content, and interact with internet services. This paper conducts an in-depth examination of how integrating LLMs with search engines can mutually benefit both technologies. We focus on two main areas: using search engines to improve LLMs (Search4LLM) and enhancing search engine functions using LLMs (LLM4Search). For Search4LLM, we investigate how search engines can provide diverse high-quality datasets for pre-training of LLMs, how they can use the most relevant documents to help LLMs learn to answer queries more accurately, how training LLMs with Learning-To-Rank (LTR) tasks can enhance their ability to respond with greater precision, and how incorporating recent search results can make LLM-generated content more accurate and current. In terms of LLM4Search, we examine how LLMs can be used to summarize content for better indexing by search engines, improve query outcomes through optimization, enhance the ranking of search results by analyzing document relevance, and help in annotating data for learning-to-rank tasks in various learning contexts. However, this promising integration comes with its challenges, which include addressing potential biases and ethical issues in training models, managing the computational and other costs of incorporating LLMs into search services, and continuously updating LLM training with the ever-changing web content. We discuss these challenges and chart out required research directions to address them. We also discuss broader implications for service computing, such as scalability, privacy concerns, and the need to adapt search engine architectures for these advanced models., Comment: Under Review

Published
2024

2. Feature-context driven Federated Meta-Learning for Rare Disease Prediction

Author

Chen, Bingyang, Chen, Tao, Zeng, Xingjie, Zhang, Weishan, Lu, Qinghua, Hou, Zhaoxiang, Zhou, Jiehan, and Helal, Sumi

Subjects
Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Millions of patients suffer from rare diseases around the world. However, the samples of rare diseases are much smaller than those of common diseases. In addition, due to the sensitivity of medical data, hospitals are usually reluctant to share patient information for data fusion citing privacy concerns. These challenges make it difficult for traditional AI models to extract rare disease features for the purpose of disease prediction. In this paper, we overcome this limitation by proposing a novel approach for rare disease prediction based on federated meta-learning. To improve the prediction accuracy of rare diseases, we design an attention-based meta-learning (ATML) approach which dynamically adjusts the attention to different tasks according to the measured training effect of base learners. Additionally, a dynamic-weight based fusion strategy is proposed to further improve the accuracy of federated learning, which dynamically selects clients based on the accuracy of each local model. Experiments show that with as few as five shots, our approach out-performs the original federated meta-learning algorithm in accuracy and speed. Compared with each hospital's local model, the proposed model's average prediction accuracy increased by 13.28%.

Published
2021

3. Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task

Author

Wu, Han, Ruan, Wenjie, Wang, Jiangtao, Zheng, Dingchang, Liu, Bei, Gen, Yayuan, Chai, Xiangfei, Chen, Jian, Li, Kunwei, Li, Shaolin, and Helal, Sumi

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis. It is risky to put one's life in the hands of models that medical researchers do not fully understand. However, through model interpretation, black-box models can promptly reveal significant biomarkers that medical practitioners may have overlooked due to the surge of infected patients in the COVID-19 pandemic. This research leverages a database of 92 patients with confirmed SARS-CoV-2 laboratory tests between 18th Jan. 2020 and 5th Mar. 2020, in Zhuhai, China, to identify biomarkers indicative of severity prediction. Through the interpretation of four machine learning models, decision tree, random forests, gradient boosted trees, and neural networks using permutation feature importance, Partial Dependence Plot (PDP), Individual Conditional Expectation (ICE), Accumulated Local Effects (ALE), Local Interpretable Model-agnostic Explanations (LIME), and Shapley Additive Explanation (SHAP), we identify an increase in N-Terminal pro-Brain Natriuretic Peptide (NTproBNP), C-Reaction Protein (CRP), and lactic dehydrogenase (LDH), a decrease in lymphocyte (LYM) is associated with severe infection and an increased risk of death, which is consistent with recent medical research on COVID-19 and other research using dedicated models. We further validate our methods on a large open dataset with 5644 confirmed patients from the Hospital Israelita Albert Einstein, at S\~ao Paulo, Brazil from Kaggle, and unveil leukocytes, eosinophils, and platelets as three indicative biomarkers for COVID-19., Comment: Accepted by IEEE Transactions on Artificial Intelligence, 2021

Published
2020
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4. Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study

Author

Chen, Dawei, Wang, Jiangtao, Ruan, Wenjie, Ni, Qiang, and Helal, Sumi

Subjects
Statistics - Applications
Abstract

Because of its important role in health policy-shaping, population health monitoring (PHM) is considered a fundamental block for public health services. However, traditional public health data collection approaches, such as clinic-visit-based data integration or health surveys, could be very costly and time-consuming. To address this challenge, this paper proposes a cost-effective approach called Compressive Population Health (CPH), where a subset of a given area is selected in terms of regions within the area for data collection in the traditional way, while leveraging inherent spatial correlations of neighboring regions to perform data inference for the rest of the area. By alternating selected regions longitudinally, this approach can validate and correct previously assessed spatial correlations. To verify whether the idea of CPH is feasible, we conduct an in-depth study based on spatiotemporal morbidity rates of chronic diseases in more than 500 regions around London for over ten years. We introduce our CPH approach and present three extensive analytical studies. The first confirms that significant spatiotemporal correlations do exist. In the second study, by deploying multiple state-of-the-art data recovery algorithms, we verify that these spatiotemporal correlations can be leveraged to do data inference accurately using only a small number of samples. Finally, we compare different methods for region selection for traditional data collection and show how such methods can further reduce the overall cost while maintaining high PHM quality.

Published
2020

7. Blockchain-Supported Health Registry: The Claim for a Personal Health Trajectory Traceability and How It Can Be Achieved

Author

Rojo, Javier, Hernández, Juan, Helal, Sumi, Murillo, Juan M., García-Alonso, José, Lovell, Nigel H., Advisory Editor, Oneto, Luca, Advisory Editor, Piotto, Stefano, Advisory Editor, Rossi, Federico, Advisory Editor, Samsonovich, Alexei V., Advisory Editor, Babiloni, Fabio, Advisory Editor, Liwo, Adam, Advisory Editor, Magjarevic, Ratko, Advisory Editor, García-Alonso, José, editor, and Fonseca, César, editor

Published
2022
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10. Context Awareness Computing in Smart Spaces Using Stochastic Analysis of Sensor Data

Author

Lee, Jae Woong, Helal, Sumi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Karwowski, Waldemar, editor, and Ahram, Tareq, editor

Published
2019
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12. PARMTRD: Parallel Association Rules Based Multiple-Topic Relationships Detection

Author

Liu, Xin, Zhang, Xiaomiao, Wang, Yiwen, Zhou, Jiehan, Helal, Sumi, Xu, Zhidong, Zhang, Weishan, Cao, Shuai, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Jin, Hai, editor, Wang, Qingyang, editor, and Zhang, Liang-Jie, editor

Published
2018
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14. High Fidelity Simulation and Visualization of Activities of Daily Living in Persim 3D

Author

Liu, Sirui, Helal, Sumi, Lee, Jae Woong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Mokhtari, Mounir, editor, Abdulrazak, Bessam, editor, and Aloulou, Hamdi, editor

Published
2017
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16. Cicero: Middleware for Developing Persuasive Mobile Applications

Author

D’Aloia, Antonello, Lelli, Matteo, Lee, Duckki, Helal, Sumi, Bellavista, Paolo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Meschtscherjakov, Alexander, editor, De Ruyter, Boris, editor, Fuchsberger, Verena, editor, Murer, Martin, editor, and Tscheligi, Manfred, editor

Published
2016
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17. Venture Scientists and Technology Entrepreneurship

Author

Helal, Sumi and Treleaven, Philip

Abstract

This special issue introduces the concept of “venture scientists” and the role of technology entrepreneurship in driving innovation across various fields. It discusses challenges posed by recent advances in emerging technologies and efforts to adapt.

Published
2024
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18. Activity Playback Modeling for Smart Home Simulation

Author

Liu, Sirui, Helal, Sumi, Lee, Jae Woong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Geissbühler, Antoine, editor, Demongeot, Jacques, editor, Mokhtari, Mounir, editor, Abdulrazak, Bessam, editor, and Aloulou, Hamdi, editor

Published
2015
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21. Android

Author

Helal, Sumi, Bose, Raja, Li, Wendong, Helal, Sumi, Bose, Raja, and Li, Wendong

Published
2012
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24. Mobile Web

Author

Helal, Sumi, Bose, Raja, Li, Wendong, Helal, Sumi, Bose, Raja, and Li, Wendong

Published
2012
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25. iOS

Author

Helal, Sumi, Bose, Raja, Li, Wendong, Helal, Sumi, Bose, Raja, and Li, Wendong

Published
2012
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39. From Activity Recognition to Situation Recognition

Author

Lee, Duckki, Helal, Sumi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Biswas, Jit, editor, Kobayashi, Hisato, editor, Wong, Lawrence, editor, Abdulrazak, Bessam, editor, and Mokhtari, Mounir, editor

Published
2013
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40. Fuzzy Logic Based Activity Life Cycle Tracking and Recognition

Author

Kim, Eunju, Helal, Sumi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Biswas, Jit, editor, Kobayashi, Hisato, editor, Wong, Lawrence, editor, Abdulrazak, Bessam, editor, and Mokhtari, Mounir, editor

Published
2013
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41. Assessing Behavioral Responses in Persuasive Ubiquitous Systems

Author

Lee, Duckki, Helal, Sumi, Sung, Yunsick, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Biswas, Jit, editor, Kobayashi, Hisato, editor, Wong, Lawrence, editor, Abdulrazak, Bessam, editor, and Mokhtari, Mounir, editor

Published
2013
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42. Revisiting Human Activity Frameworks

Author

Kim, Eunju, Helal, Sumi, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Par, Gerard, editor, and Morrow, Philip, editor

Published
2011
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43. Modeling Human Activity Semantics for Improved Recognition Performance

Author

Kim, Eunju, Helal, Sumi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Hsu, Ching-Hsien, editor, Yang, Laurence T., editor, Ma, Jianhua, editor, and Zhu, Chunsheng, editor

Published
2011
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45. The Making of a Dataset for Smart Spaces

Author

Kim, Eunju, Helal, Sumi, Lee, Jaewoong, Hossain, Shantonu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Yu, Zhiwen, editor, Liscano, Ramiro, editor, Chen, Guanling, editor, Zhang, Daqing, editor, and Zhou, Xingshe, editor

Published
2010
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46. An Action-Based Behavior Model for Persuasive Telehealth

Author

Lee, Duckki, Helal, Sumi, Johnson, Brian David, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lee, Yeunsook, editor, Bien, Z. Zenn, editor, Mokhtari, Mounir, editor, Kim, Jeong Tai, editor, Park, Mignon, editor, Kim, Jongbae, editor, Lee, Heyoung, editor, and Khalil, Ismail, editor

Published
2010
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47. Participatory Medicine: Leveraging Social Networks in Telehealth Solutions

Author

Weitzel, Mark, Smith, Andy, Lee, Duckki, de Deugd, Scott, Helal, Sumi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Mokhtari, Mounir, editor, Khalil, Ismail, editor, Bauchet, Jérémy, editor, Zhang, Daqing, editor, and Nugent, Chris, editor

Published
2009
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48. Experience of Enhancing the Space Sensing of Networked Robots Using Atlas Service-Oriented Architecture

Author

Helal, Sumi, Lim, Shinyoung, Bose, Raja, Yang, Hen-I, Kim, Hyun, Cho, Young-Jo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lee, Seongil, editor, Choo, Hyunseung, editor, Ha, Sungdo, editor, and Shin, In Chul, editor

Published
2008
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50. Context-Aware Service Composition for Mobile Network Environments

Author

Lee, Choonhwa, Ko, Sunghoon, Lee, Seungjae, Lee, Wonjun, Helal, Sumi, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Indulska, Jadwiga, editor, Ma, Jianhua, editor, Yang, Laurence T., editor, Ungerer, Theo, editor, and Cao, Jiannong, editor

Published
2007
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