14 citations · 21 across the 10 of their papers we have counts for
10 papers
A Novel Representation to Improve Team Problem Solving in Real-Time
Alex Doboli
This paper proposes a novel representation to support computing metrics that help understanding and improving in real-time a team's behavior during problem solving in real-life. Ev…
A Novel Model for Capturing the Multiple Representations during Team Problem Solving based on Verbal Discussions
Alex Doboli, Ryan Duke
Improving the effectiveness of problem solving in teams is an important research topic due to the complexity and cross-disciplinary nature of modern problems. It is unlikely that a…
Inching Towards Automated Understanding of the Meaning of Art: An Application to Computational Analysis of Mondrian's Artwork
Alex Doboli, Mahan Agha Zahedi, Niloofar Gholamrezaei
Deep Neural Networks (DNNs) have been successfully used in classifying digital images but have been less successful in classifying images with meanings that are not linear combinat…
diaLogic: Non-Invasive Speaker-Focused Data Acquisition for Team Behavior Modeling
Ryan Duke, Alex Doboli
This paper presents diaLogic system, a Human-In-A-Loop system for modeling the behavior of teams during solving open-ended problems. Team behavior is modeled through the hypotheses…
Dynamic Diagnosis of the Progress and Shortcomings of Student Learning using Machine Learning based on Cognitive, Social, and Emotional Features
Alex Doboli, Simona Doboli, Ryan Duke +2
Student diversity, like academic background, learning styles, career and life goals, ethnicity, age, social and emotional characteristics, course load and work schedule, offers uni…
How Deep is Your Art: An Experimental Study on the Limits of Artistic Understanding in a Single-Task, Single-Modality Neural Network
Mahan Agha Zahedi, Niloofar Gholamrezaei, Alex Doboli
Computational modeling of artwork meaning is complex and difficult. This is because art interpretation is multidimensional and highly subjective. This paper experimentally investig…
Cities of the Future: Employing Wireless Sensor Networks for Efficient Decision Making in Complex Environments
Alex Doboli, Daniel Curiac, Dan Pescaru +6
Decision making in large scale urban environments is critical for many applications involving continuous distribution of resources and utilization of infrastructure, such as ambien…
Integrated System for Malicious Node Discovery and Self-destruction in Wireless Sensor Networks
Madalin Plastoi, Ovidiu Banias, Daniel-Ioan Curiac +3
With the tremendous advances of the wireless devices technology, securing wireless sensor networks became more and more a vital but also a challenging task. In this paper we propos…
New measures for evaluating creativity in scientific publications
Simona Doboli, Fanshu Zhao, Alex Doboli
The goal of our research is to understand how ideas propagate, combine and are created in large social networks. In this work, we look at a sample of relevant scientific publicatio…
Buffer Insertion for Bridges and Optimal Buffer Sizing for Communication Sub-System of Systems-on-Chip
Sankalp S. Kallakuri, Alex Doboli, Eugene A. Feinberg
We have presented an optimal buffer sizing and buffer insertion methodology which uses stochastic models of the architecture and Continuous Time Markov Decision Processes CTMDPs. S…