activity
20162026
most citedMachine Learning for E-mail Spam Filtering: Review,Techniques and Trends

33 citations · 36 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Rethinking Fisher Vectors for Second-order Multi-scale Deep Feature Aggregation in Scalable Scene Retrieval

Alexy Bhowmick, Sarat Saharia, Shyamanta M. Hazarika

Aggregating CNN responses into a compact discriminative vector, given their lack of geometric invariance, is a challenge. To address this challenge, we propose a codebook-free meth…

cs.LG2026

A Temporally Augmented Graph Attention Network for Affordance Classification

Ami Chopra, Supriya Bordoloi, Shyamanta M. Hazarika

Graph attention networks (GATs) provide one of the best frameworks for learning node representations in relational data; but, existing variants such as Graph Attention Network (GAT…

q-bio.NC2025

Influence of Object Affordance on Action Language Understanding: Evidence from Dynamic Causal Modeling Analysis

Supriya Bordoloi, Cota Navin Gupta, Shyamanta M. Hazarika

This study investigates the causal neural dynamics by which affordance representations influence action language comprehension. In this study, 18 participants observed stimuli disp…

cs.RO2024

Understanding Grasp Synergies during Reach-to-grasp using an Instrumented Data Glove

Subhash Pratap, Yoshiyuki Hatta, Kazuaki Ito +1

Data gloves play a crucial role in study of human grasping, and could provide insights into grasp synergies. Grasp synergies lead to identification of underlying patterns to develo…

cs.RO2023

Grasp Force Optimization as a Bilinear Matrix Inequality Problem: A Deep Learning Approach

Hirakjyoti Basumatary, Daksh Adhar, Riddhiman Shaw +1

Grasp force synthesis is a non-convex optimization problem involving constraints that are bilinear. Traditional approaches to this problem involve general-purpose gradient-based no…

cs.RO2023

Reinforcement Learning-Based Bionic Reflex Control for Anthropomorphic Robotic Grasping exploiting Domain Randomization

Hirakjyoti Basumatary, Daksh Adhar, Atharva Shrawge +2

Achieving human-level dexterity in robotic grasping remains a challenging endeavor. Robotic hands frequently encounter slippage and deformation during object manipulation, issues r…

cs.AI2020★ 3 cited

Declarative Memory-based Structure for the Representation of Text Data

Sumant Pushp, Pragya Kashmira, Shyamanta M Hazarika

In the era of intelligent computing, computational progress in text processing is an essential consideration. Many systems have been developed to process text over different langua…

eess.SY2018

Bionic Reflex Control Strategy for Robotic Finger with Kinematic Constraints

Narkhede Kunal Sanjay, Shyamanta M. Hazarika

This paper presents a bionic reflex control strategy for a kinematically constrained robotic finger. Here, the bionic reflex is achieved through a force tracking impedance control…

cs.RO2017

C3A: A Cognitive Collaborative Control Architecture For an Intelligent Wheelchair

Rupam Bhattacharyya, Adity Saikia, Shyamanta M. Hazarika

Retention of residual skills for persons who partially lose their cognitive or physical ability is of utmost importance. Research is focused on developing systems that provide need…

cs.LG2016★ 33 cited

Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends

Alexy Bhowmick, Shyamanta M. Hazarika

We present a comprehensive review of the most effective content-based e-mail spam filtering techniques. We focus primarily on Machine Learning-based spam filters and their variants…