Publications related to Phase Transitions in Group Testing

Pavlos Nikolopoulos, Christina Fragouli, Suhas Diggavi, Sundara Rajan Srinivasavaradhan

Group testing is a technique that can reduce the number of tests needed to identify infected members in a population, by pooling together multiple diagnostic samples. Despite the variety and importance of prior results, traditional work on group testing ha ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Wearable IoT devices and novel continuous monitoring algorithms are essential components of the healthcare transition from reactive interventions focused on symptom treatment to more proactive prevention, from one-size-fits-all to personalized medicine, an ...

IEEE2022

Group testing for connected communities

Pavlos Nikolopoulos, Christina Fragouli, Suhas Diggavi, Sundara Rajan Srinivasavaradhan

In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in disjoint communities: each individual participates in a community, and its infection probability depe ...

MICROTOME PUBLISHING2021

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

René Uwe Schneider, Marcello Farina

In modern engineering systems, reliability and safety can be conferred by efficient automatic monitoring and fault detection algorithms, allowing for the early identification and isolation of incipient faults. In case of large-scale and complex systems, sc ...

2020

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Giovanni De Micheli, Massimiliano Di Ventra

As demands for computing have been continuously increasing, various solutions have been proposed. Some approaches deal with improving algorithms and software programs, mainly through the tuning of advanced heuristics and learning methods. Some other tackle ...

2020

String Matching: Communication, Circuits, and Learning

Mika Tapani Göös

String matching is the problem of deciding whether a given n-bit string contains a given k-bit pattern. We study the complexity of this problem in three settings. - Communication complexity. For small k, we provide near-optimal upper and lower bounds on th ...

Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany2019

Super Resolution Phase Retrieval for Sparse Signals

Martin Vetterli, Juri Ranieri, Gilles Baechler, Amina Chebira, Miranda Krekovic

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attempts to recover the phase information of a signal from the magnitude of its Fo ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Definition of Accurate Reference Synchrophasors for Static and Dynamic Characterization of PMUs

Mario Paolone, Asja Derviskadic, Guglielmo Frigo, Marco Pignati, Daniele Colangelo

The calibration of phasor measurement units (PMUs) consists of comparing coordinated universal time time-aligned phasors (synchrophasors) measured by the PMU under test, against reference synchrophasors generated through a PMU calibrator. The IEEE Standard ...

Institute of Electrical and Electronics Engineers2017

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Phase Transitions in Group Testing

Community-Aware Group Testing

Combinatory Array Logic with Sums

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

Group testing for connected communities

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

The Complexity of Splitting Necklaces and Bisecting Ham Sandwiches

String Matching: Communication, Circuits, and Learning

Super Resolution Phase Retrieval for Sparse Signals

Definition of Accurate Reference Synchrophasors for Static and Dynamic Characterization of PMUs

Graph Chatbot

Chat with Graph Search

String Matching: Communication, Circuits, and Learning

Community-Aware Group Testing

Group testing for connected communities

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

The Complexity of Splitting Necklaces and Bisecting Ham Sandwiches

Super Resolution Phase Retrieval for Sparse Signals

Definition of Accurate Reference Synchrophasors for Static and Dynamic Characterization of PMUs

Combinatory Array Logic with Sums

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation