Saved in:
| Main Authors: | Ghosh, Partha, Sharma, Joy, Pandey, Nilesh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.02052 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the (In)Significance of Feature Selection in High-Dimensional Datasets
by: Neekhra, Bhavesh, et al.
Published: (2025)
by: Neekhra, Bhavesh, et al.
Published: (2025)
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
by: Mukherjee, Kunal, et al.
Published: (2023)
by: Mukherjee, Kunal, et al.
Published: (2023)
Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage
by: Guo, Alan J. X., et al.
Published: (2024)
by: Guo, Alan J. X., et al.
Published: (2024)
When Features Beat Noise: A Feature Selection Technique Through Noise-Based Hypothesis Testing
by: Sinha, Mousam, et al.
Published: (2025)
by: Sinha, Mousam, et al.
Published: (2025)
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
by: Mukherjee, Shrimon, et al.
Published: (2024)
by: Mukherjee, Shrimon, et al.
Published: (2024)
A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models
by: Kong, Jason, et al.
Published: (2026)
by: Kong, Jason, et al.
Published: (2026)
Principled Curriculum Learning using Parameter Continuation Methods
by: Pathak, Harsh Nilesh, et al.
Published: (2025)
by: Pathak, Harsh Nilesh, et al.
Published: (2025)
QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
by: Pandey, Nilesh Prasad, et al.
Published: (2026)
by: Pandey, Nilesh Prasad, et al.
Published: (2026)
Automated ultrasound doppler angle estimation using deep learning
by: Patil, Nilesh, et al.
Published: (2025)
by: Patil, Nilesh, et al.
Published: (2025)
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems
by: Dawn, Rudrajit, et al.
Published: (2025)
by: Dawn, Rudrajit, et al.
Published: (2025)
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features
by: Shah, Arjun, et al.
Published: (2024)
by: Shah, Arjun, et al.
Published: (2024)
A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets
by: Salta, Karim, et al.
Published: (2024)
by: Salta, Karim, et al.
Published: (2024)
Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
by: Moriano, Pablo, et al.
Published: (2024)
by: Moriano, Pablo, et al.
Published: (2024)
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
by: Fuhrman, Sean, et al.
Published: (2025)
by: Fuhrman, Sean, et al.
Published: (2025)
An Experiment on Feature Selection using Logistic Regression
by: Islam, Raisa, et al.
Published: (2024)
by: Islam, Raisa, et al.
Published: (2024)
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing
by: Pandey, Nilesh Prasad, et al.
Published: (2025)
by: Pandey, Nilesh Prasad, et al.
Published: (2025)
Evaluating False Alarm and Missing Attacks in CAN IDS
by: Hossain, Nirab, et al.
Published: (2026)
by: Hossain, Nirab, et al.
Published: (2026)
AgreeMate: Teaching LLMs to Haggle
by: Chatterjee, Ainesh, et al.
Published: (2024)
by: Chatterjee, Ainesh, et al.
Published: (2024)
C-IDS: Solving Contextual POMDP via Information-Directed Objective
by: Shi, Chongyang, et al.
Published: (2026)
by: Shi, Chongyang, et al.
Published: (2026)
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
by: Verma, Miki E., et al.
Published: (2020)
by: Verma, Miki E., et al.
Published: (2020)
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
by: Bhattacharjee, Shamik, et al.
Published: (2024)
by: Bhattacharjee, Shamik, et al.
Published: (2024)
Technical Report: Generating the WEB-IDS23 Dataset
by: Lanfer, Eric, et al.
Published: (2025)
by: Lanfer, Eric, et al.
Published: (2025)
Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
by: Manna, Alokesh, et al.
Published: (2025)
by: Manna, Alokesh, et al.
Published: (2025)
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
by: Ji, Anli, et al.
Published: (2024)
by: Ji, Anli, et al.
Published: (2024)
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
by: Ghosh, Partha, et al.
Published: (2024)
by: Ghosh, Partha, et al.
Published: (2024)
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats
by: Uddin, Md. Ashraf, et al.
Published: (2024)
by: Uddin, Md. Ashraf, et al.
Published: (2024)
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
by: Uddin, Md. Ashraf, et al.
Published: (2024)
by: Uddin, Md. Ashraf, et al.
Published: (2024)
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
by: Ceviz, Ozlem, et al.
Published: (2023)
by: Ceviz, Ozlem, et al.
Published: (2023)
A New Technique for AI Explainability using Feature Association Map
by: Ghosh, Sayantani, et al.
Published: (2026)
by: Ghosh, Sayantani, et al.
Published: (2026)
INRet: A General Framework for Accurate Retrieval of INRs for Shapes
by: Guan, Yushi, et al.
Published: (2025)
by: Guan, Yushi, et al.
Published: (2025)
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
by: Muñoz, J. Pablo, et al.
Published: (2025)
by: Muñoz, J. Pablo, et al.
Published: (2025)
Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
by: Foudhaili, Wadid, et al.
Published: (2024)
by: Foudhaili, Wadid, et al.
Published: (2024)
A Multi-Layer Cloud-IDS Pipeline with LLM and Adaptive Q-Learning Calibration
by: Ali, Syed Waqas, et al.
Published: (2026)
by: Ali, Syed Waqas, et al.
Published: (2026)
AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting Social Anxiety Using Facial Features
by: Sahu, Nilesh Kumar, et al.
Published: (2025)
by: Sahu, Nilesh Kumar, et al.
Published: (2025)
EntryPrune: Neural Network Feature Selection using First Impressions
by: Zimmer, Felix, et al.
Published: (2024)
by: Zimmer, Felix, et al.
Published: (2024)
Binary Feature Mask Optimization for Feature Selection
by: Lorasdagi, Mehmet E., et al.
Published: (2024)
by: Lorasdagi, Mehmet E., et al.
Published: (2024)
Geometric Limits of Knowledge Distillation: A Minimum-Width Theorem via Superposition Theory
by: Sarkar, Nilesh, et al.
Published: (2026)
by: Sarkar, Nilesh, et al.
Published: (2026)
A Hierarchical IDS for Zero-Day Attack Detection in Internet of Medical Things Networks
by: Uddin, Md Ashraf, et al.
Published: (2025)
by: Uddin, Md Ashraf, et al.
Published: (2025)
3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
by: Qiu, Chenyang, et al.
Published: (2023)
by: Qiu, Chenyang, et al.
Published: (2023)
Investigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types
by: Kalpande, Sharmad, et al.
Published: (2025)
by: Kalpande, Sharmad, et al.
Published: (2025)
Similar Items
-
On the (In)Significance of Feature Selection in High-Dimensional Datasets
by: Neekhra, Bhavesh, et al.
Published: (2025) -
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
by: Mukherjee, Kunal, et al.
Published: (2023) -
Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage
by: Guo, Alan J. X., et al.
Published: (2024) -
When Features Beat Noise: A Feature Selection Technique Through Noise-Based Hypothesis Testing
by: Sinha, Mousam, et al.
Published: (2025) -
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
by: Mukherjee, Shrimon, et al.
Published: (2024)