Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review
P Csermely, T Korcsmáros, HJM Kiss, G London… - Pharmacology & …, 2013 - Elsevier
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …
methods and in rational drug design, the increase in approved drugs in the past decade did …
Sequential (quickest) change detection: Classical results and new directions
Online detection of changes in stochastic systems, referred to as sequential change
detection or quickest change detection, is an important research topic in statistics, signal …
detection or quickest change detection, is an important research topic in statistics, signal …
Active hypothesis testing for anomaly detection
The problem of detecting a single anomalous process among a finite number M of
processes is considered. At each time, a subset of the processes can be observed, and the …
processes is considered. At each time, a subset of the processes can be observed, and the …
Active anomaly detection in heterogeneous processes
An active inference problem of detecting anomalies among heterogeneous processes is
considered. At each time, a subset of processes can be probed. The objective is to design a …
considered. At each time, a subset of processes can be probed. The objective is to design a …
Anomaly search over discrete composite hypotheses in hierarchical statistical models
Detection of anomalies among a large number of processes is a fundamental task that has
been studied in multiple research areas, with diverse applications spanning from spectrum …
been studied in multiple research areas, with diverse applications spanning from spectrum …
Outlying sequence detection in large data sets: A data-driven approach
Outliers refer to observations that do not conform to the expected patterns in high-
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
Sequential anomaly detection under a nonlinear system cost
We consider the problem of anomaly detection among K heterogeneous processes. At each
given time, one process is probed, and the random observations follow two different …
given time, one process is probed, and the random observations follow two different …
Sequential anomaly detection with observation control
A Tsopelakos, G Fellouris… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The problem of anomaly detection is considered when multiple processes are observed
sequentially, but it is possible to sample only a subset of them at a time according to an …
sequentially, but it is possible to sample only a subset of them at a time according to an …
Deep multi-agent reinforcement learning for decentralized active hypothesis testing
H Szostak, K Cohen - IEEE Access, 2024 - ieeexplore.ieee.org
We consider a decentralized formulation of the active hypothesis testing (AHT) problem,
where multiple agents gather noisy observations from the environment with the purpose of …
where multiple agents gather noisy observations from the environment with the purpose of …
Asymptotically optimal anomaly detection via sequential testing
Sequential detection of independent anomalous processes among K processes is
considered. At each time, only M (1≤ M≤ K) processes can be observed, and the …
considered. At each time, only M (1≤ M≤ K) processes can be observed, and the …