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Found 14 papers, 3 papers with code
CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills
The search for an appropriate sentence embedding that can enable an effective scoring mechanism has been the focus of several research works in this domain.
Multitask Learning based Deep Learning Model for Music Artist and Language Recognition
Artist and music language recognitions of music recordings are crucial tasks in the music information retrieval domain.
Comparative Analysis of Melodia and Time-Domain Adaptive Filtering based Model for Melody Extraction from Polyphonic Music
Additionally, a summary of the evaluation matrices based on which methodologies have been examined on various datasets is also present in this paper.
DCC: A Cascade based Approach to Detect Communities in Social Networks
In this paper, we have introduced a novel method called \emph{Disjoint Community detection using Cascades (DCC)} which demonstrates the effectiveness of a new local density based tie strength measure on detecting communities.
Beyond Information Exchange: An Approach to Deploy Network Properties for Information Diffusion
Although several mathematical models have been developed till date, but previous works lacked systematic analysis and exploration of the influence of neighborhood for information diffusion.
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks
Nature-inspired optimization Algorithms (NIOAs) are nowadays a popular choice for community detection in social networks.
The Ties that matter: From the perspective of Similarity Measure in Online Social Networks
Online Social Networks have embarked on the importance of connection strength measures which has a broad array of applications such as, analyzing diffusion behaviors, community detection, link predictions, recommender systems.
Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms
In this paper, a direct comparison approach is proposed to analyze the performance of evolutionary optimization algorithms.
Design Perspectives of Multitask Deep Learning Models and Applications
In recent years, multi-task learning has turned out to be of great success in various applications.
Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation
With the advent of the digital era, every day-to-day task is automated due to technological advances.
Towards Direct Comparison of Community Structures in Social Networks
Community detection algorithms are in general evaluated by comparing evaluation metric values for the communities obtained with different algorithms.
Introductory Review of Swarm Intelligence Techniques
This chapter deals with the Swarm intelligence (SI) based algorithms or Swarm Optimization Algorithms, which are a subset of the greater Nature Inspired Optimization Algorithms (NIOAs).
Prayatul Matrix: A Direct Comparison Approach to Evaluate Performance of Supervised Machine Learning Models
In this paper, an alternative approach is proposed for direct comparison of supervised ML models in terms of individual instances within the dataset.
DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning
In this article, we present a novel malicious URL detection technique, called deepBF (deep learning and Bloom Filter).
