Deepak Venugopal

Deepak Venugopal, Saikat Das, Ahmed M. Mahfouz, 2019, 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C).

Scalable Training of Markov Logic Networks Using Approximate Counting

Somdeb Sarkhel, Parag Singla, Vibhav Gogate, 2016, AAAI.

Taxonomy and Survey of Interpretable Machine Learning Method

Frederick T. Sheldon, Deepak Venugopal, Saikat Das, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models

Somdeb Sarkhel, Deepak Venugopal, Craig Kelly, 2019, AISTATS.

Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack

Frederick T. Sheldon, Deepak Venugopal, Saikat Das, 2020, 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom).

Efficient Inference for Untied MLNs

Nicholas Ruozzi, Somdeb Sarkhel, Vibhav Gogate, 2017, IJCAI.

Adaptive blocked Gibbs sampling for inference in probabilistic graphical models

Deepak Venugopal, Mohammad Maminur Islam, Mohammad Khan Al Farabi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Comparative Analysis of ML Classifiers for Network Intrusion Detection

Sajjan G. Shiva, Deepak Venugopal, Ahmed M. Mahfouz, 2019, ICICT.

Advances in Inference Methods for Markov Logic Networks

Deepak Venugopal, D. Venugopal, 2017, IEEE Intell. Informatics Bull..

Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models

Liangfei Qiu, Deepak Venugopal, Subodha Kumar, 2019, J. Manag. Inf. Syst..

Scaling-up Importance Sampling for Markov Logic Networks

Vibhav Gogate, Deepak Venugopal, D. Venugopal, 2014, NIPS.

Scalable inference techniques for markov logic Scalable inference techniques for Markov logic

Deepak Venugopal, 2015 .

On Lifting the Gibbs Sampling Algorithm

Vibhav Gogate, Deepak Venugopal, D. Venugopal, 2012, StarAI@UAI.

Efficient signature based malware detection on mobile devices

Deepak Venugopal, Guoning Hu, D. Venugopal, 2008, Mob. Inf. Syst..

A Holistic Approach for Detecting DDoS Attacks by Using Ensemble Unsupervised Machine Learning

Sajjan G. Shiva, Deepak Venugopal, Saikat Das, 2020, Advances in Intelligent Systems and Computing.

An efficient signature representation and matching method for mobile devices

Deepak Venugopal, D. Venugopal, 2006, WICON '06.

Network Intrusion Detection Model Using One-Class Support Vector Machine

Sajjan G. Shiva, Deepak Venugopal, Abdullah Abuhussein, 2020 .

Efficient Weight Learning in High-Dimensional Untied MLNs

Somdeb Sarkhel, Deepak Venugopal, Khan Mohammad Al Farabi, 2018, AISTATS.

Fine-Grained Explanations Using Markov Logic

Somdeb Sarkhel, Deepak Venugopal, Sanorita Dey, 2019, ECML/PKDD.

Evidence-Based Clustering for Scalable Inference in Markov Logic

Vibhav Gogate, Deepak Venugopal, 2014, ECML/PKDD.

Fine-Grained Crime Prediction in an Urban Neighborhood

Christopher Kent, Deepak Venugopal, 2018, 2018 IEEE International Smart Cities Conference (ISC2).

Joint Inference for Mode Identification in Tutorial Dialogues

Vasile Rus, Deepak Venugopal, V. Rus, 2016, COLING.

Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs

Somdeb Sarkhel, Vibhav Gogate, Deepak Venugopal, 2015, AAAI.

Scaling-Up Inference in Markov Logic

Deepak Venugopal, 2015, AAAI.

Scaling up Inference in MLNs with Spark

Somdeb Sarkhel, Deepak Venugopal, Mohammad Maminur Islam, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs

Somdeb Sarkhel, Deepak Venugopal, Kyle Cherry, 2016, UAI.

Advances in Lifted Importance Sampling

Vibhav Gogate, Deepak Venugopal, Abhay Jha, 2012, AAAI.

Learning Mixtures of MLNs

Somdeb Sarkhel, Deepak Venugopal, Mohammad Maminur Islam, 2018, AAAI.

Ensemble Classifiers for Network Intrusion Detection Using a Novel Network Attack Dataset

Sajjan G. Shiva, Deepak Venugopal, Abdullah Abuhussein, 2020, Future Internet.

On Lifted Inference Using Neural Embeddings

Somdeb Sarkhel, Deepak Venugopal, Maminur Islam, 2019, AAAI.

CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space

Deepak Venugopal, Kishor Datta Gupta, Nirman Kumar, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Intelligent virus detection on mobile devices

Nicoleta Roman, Deepak Venugopal, Guoning Hu, 2006, PST.

An Information-theoretic approach to dimensionality reduction in data science

Lih-Yuan Deng, Max H. Garzon, Deepak Venugopal, 2021, International Journal of Data Science and Analytics.

Contrastive Learning in Neural Tensor Networks using Asymmetric Examples

Somdeb Sarkhel, Deepak Venugopal, Mohammad Maminur Islam, 2021, 2021 IEEE International Conference on Big Data (Big Data).