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Amir Ghasemian
University of Colorado Boulder
Machine learningCommunity structureOverfittingMathematicsControl theory
5Publications
3H-index
87Citations
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Publications 5
Newest
#1Amir GhasemianH-Index: 3
#2Homa HosseinmardiH-Index: 10
Last. Aaron ClausetH-Index: 33
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Most real-world networks are incompletely observed. Algorithms that can accurately predict which links are missing can dramatically speedup the collection of network data and improve the validity of network models. Many algorithms now exist for predicting missing links, given a partially observed network, but it has remained unknown whether a single best predictor exists, how link predictability varies across methods and networks from different domains, and how close to optimality current method...
1 Citations
#1Amir Ghasemian (CU: University of Colorado Boulder)H-Index: 3
#2Homa Hosseinmardi (SC: University of Southern California)H-Index: 10
Last. Aaron Clauset (CU: University of Colorado Boulder)H-Index: 33
view all 3 authors...
A common graph mining task is community detection, which seeks an unsupervised decomposition of a network into groups based on statistical regularities in network connectivity. Although many such algorithms exist, community detection's No Free Lunch theorem implies that no algorithm can be optimal across all inputs. However, little is known in practice about how different algorithms over or underfit to real networks, or how to reliably assess such behavior across algorithms. Here, we present a b...
28 CitationsSource
#1Homa HosseinmardiH-Index: 10
#2Amir GhasemianH-Index: 3
Last. Emilio FerraraH-Index: 38
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Today's densely instrumented world offers tremendous opportunities for continuous acquisition and analysis of multimodal sensor data providing temporal characterization of an individual's behaviors. Is it possible to efficiently couple such rich sensor data with predictive modeling techniques to provide contextual, and insightful assessments of individual performance and wellbeing? Prediction of different aspects of human behavior from these noisy, incomplete, and heterogeneous bio-behavioral te...
1 Citations
#1Amir Ghasemian (ZNU: University of Zanjan)H-Index: 3
#2Asghar Taheri (ZNU: University of Zanjan)H-Index: 8
Time-optimal (TO) control of dc–dc converters, using switching surface controllers, has been investigated extensively in the literature. Studies show that such controllers are of a minimum-switching and bang–bang nature and have the fastest possible response time. However, this method has three drawbacks: First, the inductors’ maximum current goes beyond practical limits. Second, due to a marginal status in existence condition of the switching surface, stability of the controller is sensitive to...
5 CitationsSource
#1Amir Ghasemian (CU: University of Colorado Boulder)H-Index: 3
#2Pan Zhang (CAS: Chinese Academy of Sciences)H-Index: 15
Last. Leto Peel (UCL: Université catholique de Louvain)H-Index: 11
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The detection of communities within a dynamic network is a common means for obtaining a coarse-grained view of a complex system and for investigating its underlying processes. While a number of methods have been proposed in the machine learning and physics literature, we lack a theoretical analysis of their strengths and weaknesses, or of the ultimate limits on when communities can be detected. Here, we study the fundamental limits of detecting community structure in dynamic networks. Specifical...
35 CitationsSource
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