Ankit Shah

Publications61
h-index14
Citations1,061
Highly Influential Citations122
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DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System
TLDR
This paper presents the setup of these tasks: task definition, dataset, experimental setup, and baseline system results on the development dataset.
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Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis
TLDR
The paper introduces Domestic Environment Sound Event Detection (DESED) dataset mixing a part of last year dataset and an additional synthetic, strongly labeled, dataset provided this year that’s described more in detail.
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Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording
TLDR
The work on Task 1 Acoustic Scene Classification and Task 3 Sound Event Detection in Real Life Recordings has low-level and high-level features, classifier optimization and other heuristics specific to each task.
View PDF on arXiv
XAspects: an extensible system for domain-specific aspect languages
TLDR
XAspects, a plug-in mechanism for domain-specific aspect languages, can be achieved at a level beyond what is possible for object-oriented programming languages, allowing for certain domain- specific solutions to be used as easily as a new language feature.
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A Closer Look at Weak Label Learning for Audio Events
TLDR
This work describes a CNN based approach for weakly supervised training of audio events and describes important characteristics, which naturally arise inweakly supervised learning of sound events, and shows how these aspects of weak labels affect the generalization of models.
View PDF on arXiv
A Survey of Lightweight Cryptographic Algorithms for IoT-Based Applications
  • Ankit Shah
  • Computer Science
    Smart Innovations in Communication and…
  • 20 November 2018
TLDR
This paper indicates a concise knowledge of IoT, and lightweight and implemented algorithms compare the performed cryptographic algorithms and yield a proficient conclusion in terms of security, reliance, speed, memory and throughput, applications, and so forth.
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Statistical Tuning of Walfisch-Ikegami Model in Urban and Suburban Environments
TLDR
The Cost231-Walfisch-Ikegami model is reviewed for prediction of path loss in mobile outdoor microcell environments and the proposed statistical model aligns in accordance to the measured data, considering roof height, road width as normal random variables.
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VULCON: A System for Vulnerability Prioritization, Mitigation, and Management
TLDR
VULCON provides valuable operational guidance for improving vulnerability response processes in CSOCs and demonstrates that it can determine monthly resources required to maintain a target TVE score.
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Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations
TLDR
This paper presents BayesLTL – a Bayesian probabilistic model for inferring contrastive explanations as linear temporal logic (LTL) specifications, and demonstrates the robustness and scalability of the model for inference accurate specifications from noisy data and across various benchmark planning domains.
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A methodology to measure and monitor level of operational effectiveness of a CSOC
In a cybersecurity operations center (CSOC), under normal operating conditions in a day, sufficient numbers of analysts are available to analyze the amount of alert workload generated by intrusion…
View on Springer
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