Avanti Bhandarkar
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View article: Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities
Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities Open
Relation extraction is a Natural Language Processing task that aims to extract relationships from textual data. It is a critical step for information extraction. Due to its wide-scale applicability, research in relation extraction has rapi…
View article: Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era?
Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era? Open
In the era of generative AI, the widespread adoption of Neural Text Generators (NTGs) presents new cybersecurity challenges, particularly within the realms of Digital Forensics and Incident Response (DFIR). These challenges primarily invol…
View article: Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities
Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities Open
Relation extraction is a Natural Language Processing task that aims to extract relationships from textual data. It is a critical step for information extraction. Due to its wide-scale applicability, research in relation extraction has rapi…
View article: Investigating the Practicality of Existing Reinforcement Learning Algorithms: A Performance Comparison
Investigating the Practicality of Existing Reinforcement Learning Algorithms: A Performance Comparison Open
Abstract---Reinforcement learning (RL) has become more popular due to promising results in applications such as chat-bots, healthcare, and autonomous driving. However, one significant challenge in current RL research is the difficulty in u…
View article: Investigating the Practicality of Existing Reinforcement Learning Algorithms: A Performance Comparison
Investigating the Practicality of Existing Reinforcement Learning Algorithms: A Performance Comparison Open
Abstract---Reinforcement learning (RL) has become more popular due to promising results in applications such as chat-bots, healthcare, and autonomous driving. However, one significant challenge in current RL research is the difficulty in u…
View article: TraSE: Towards Tackling Authorial Style from a Cognitive Science Perspective
TraSE: Towards Tackling Authorial Style from a Cognitive Science Perspective Open
Stylistic analysis of text is a key task in research areas ranging from authorship attribution to forensic analysis and personality profiling. The existing approaches for stylistic analysis are plagued by issues like topic influence, lack …
View article: SQSE: A Measure to Assess Sample Quality of Authorial Style as a Cognitive Biometric Trait
SQSE: A Measure to Assess Sample Quality of Authorial Style as a Cognitive Biometric Trait Open
Florida Institute for Cyber Security research Inter Topic (FICSIT) corpus is controlled precisely for cross-topic samples. The corpus was compiled from data dumps provided by StackExchange. The StackExchange network contains a large collec…
View article: Brake Pressure Sensing System
Brake Pressure Sensing System Open
Brake system testing is normally carried out during various stages of the manufacturing process.It starts in the initial development stage, followed by endurance, lab and track testing, and continues through the production process for adde…
View article: V-I Meter Based Autoswitch
V-I Meter Based Autoswitch Open
In a country like India, which largely depends on rainfall, many a times due to weather changes, the total rainfall in a particular area may be either insufficient, or ill-timed.In order to get the maximum yield, it is essential to supply …