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ACM Transactions on Intelligent Systems and Technology
ACM Press
 
   
 
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  1-10 of 20 reviews Date Reviewed 
  Reinforcement learning for quantitative trading
Sun S., Wang R., An B. ACM Transactions on Intelligent Systems and Technology 12(2): 2023.  Type: Article

This paper is a good starting point for both learners and practitioners in the fields of algorithmic trading, portfolio management, order execution, market making, and even reinforcement learning (RL), as they launch their deep dives into the inte...

Aug 10 2023
  A real-time framework for task assignment in hyperlocal spatial crowdsourcing
Tran L., To H., Fan L., Shahabi C. ACM Transactions on Intelligent Systems and Technology 9(3): 1-26, 2018.  Type: Article

Hyperspatial crowdsourcing is a low-cost methodology that uses capable individuals, located in the vicinity of task location, to acquire fine-grain data for spatially distributed tasks. However, it is constrained by the budget. This pa...

Sep 9 2020
  Learning k for kNN classification
Zhang S., Li X., Zong M., Zhu X., Cheng D. ACM Transactions on Intelligent Systems and Technology 8(3): 1-19, 2017.  Type: Article

This paper aims to improve the performance of the k-nearest neighbors (kNN) approach and its variants in three data mining applications--classification, regression, and missing data imputa...

Mar 27 2018
  Cyber security and the role of intelligent systems in addressing its challenges
Harel Y., Ben-Gal I., Elovici Y. ACM Transactions on Intelligent Systems and Technology 8(4): 1-12, 2017.  Type: Article

Individuals, organizations, and societies have come to rely more and more on computational infrastructure, ranging from our personal computing devices to cloud computing and the Internet of Things (IoT)....

Nov 8 2017
  Unveiling correlations via mining human-thing interactions in the Web of Things
Yao L., Sheng Q., Ngu A., Li X., Benattalah B. ACM Transactions on Intelligent Systems and Technology 8(5): 1-25, 2017.  Type: Article

Today we find ourselves in a situation where there is an overabundance of data in information networks. This being the case, there is an overwhelming need to identify pieces of data that could be critical in decision making. Time and t...

Sep 11 2017
  Daehr: a discriminant analysis framework for electronic health record data and an application to early detection of mental health disorders
Xiong H., Zhang J., Huang Y., Leach K., Barnes L. ACM Transactions on Intelligent Systems and Technology 8(3): 1-21, 2017.  Type: Article

Xiong et al. present an extension of the linear discriminant analysis (LDA) framework using electronic health record (EHR) data for early disease detection, called Daehr. Two important challenges exist in the conventional LDA model: (a...

Jun 1 2017
  Multiagent resource allocation for dynamic task arrivals with preemption
Doucette J., Pinhey G., Cohen R. ACM Transactions on Intelligent Systems and Technology 8(1): 1-27, 2016.  Type: Article

The authors describe a new approach to multiagent resource allocation problems. A typical problem would be the allocation of resources in an emergency room situation as new cases arrive continually. The model consists of four component...

Sep 15 2016
  S-SMART: a unified Bayesian framework for simultaneous semantic mapping, activity recognition, and tracking
Hardegger M., Roggen D., Calatroni A., Tröster G. ACM Transactions on Intelligent Systems and Technology 7(3): 1-28, 2016.  Type: Article

Tracking activity via body-attached sensors is aimed at helping people who suffer from neurodegenerative diseases including Alzheimer’s disease and dementia, or those with some ongoing neurologic-related symptoms like memory ...

Jul 25 2016
  A crowd-powered system for fashion similarity search
Semertzidis T., Novak J., Lazaridis M., Melenhorst M., Micheel I., Michalopoulos D., Böckle M., Strintzis M., Daras P. ACM Transactions on Intelligent Systems and Technology 7(4): 1-24, 2016.  Type: Article

Analyzing fashion images and trends in online social networks offers a wide range of commercial opportunities, most of which are still completely unexplored. However, despite the enthusiastic approach typical of social network analysis...

Jun 7 2016
   Participatory cultural mapping based on collective behavior data in location-based social networks
Yang D., Zhang D., Qu B. ACM Transactions on Intelligent Systems and Technology 7(3): 1-23, 2016.  Type: Article

Cultural mapping provides a simple and direct visual tool to identify and analyze different aspects of culture from a local perspective. By adopting traditional methods (for example, a large-scale survey), building cultural maps is an ...

May 11 2016
 
 
 
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