22 citations · 23 across the 4 of their papers we have counts for
5 papers
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
Understanding an information forager's actions during interaction is very important for the study of interactive information retrieval. Although information spread in uncertain inf…
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
User implicit feedback plays an important role in recommender systems. However, finding implicit features is a tedious task. This paper aims to identify users' preferences through…
Effects of Foraging in Personalized Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the…
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin +2
Pathologists find tedious to examine the status of the sentinel lymph node on a large number of pathological scans. The examination process of such lymph node which encompasses met…
Parsec: A State Channel for the Internet of Value
Amit Kumar Jaiswal
We propose Parsec, a web-scale State channel for the Internet of Value to exterminate the consensus bottleneck in Blockchain by leveraging a network of state channels which enable…