Tirtharaj Dash

According to our database, Tirtharaj Dash authored at least 56 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Composition of relational features with an application to explaining black-box predictors.

Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah

Mach. Learn., 2024

Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback.

Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AI-assisted Emergency Healthcare using Vehicular Network and Support Vector Machine.

Biswa Ranjan Senapati, Pabitra Mohan Khilar, Tirtharaj Dash, Rakesh Ranjan Swain

Wirel. Pers. Commun., June, 2023

Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

CoRR, 2023

Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning.

Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification.

Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan

Proceedings of the IEEE International Conference on Image Processing, 2023

Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey.

Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar

Wirel. Pers. Commun., 2022

Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment.

Tirtharaj Dash, Ashwin Srinivasan, A. Baskar

Mach. Learn., 2022

Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches.

Abhinav Lalwani, Aman Saraiya, Apoorv Singh, Aditya Jain, Tirtharaj Dash

CoRR, 2022

Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces.

Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract).

Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Superpixel-based knowledge infusion in deep neural networks for image classification.

Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash

Proceedings of the ACM SE '22: 2022 ACM Southeast Conference, Virtual Event, April 18, 2022

2021

Incorporating symbolic domain knowledge into graph neural networks.

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig

Mach. Learn., 2021

Solving Visual Analogies Using Neural Algorithmic Reasoning.

Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

CoRR, 2021

Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems.

Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan

CoRR, 2021

How to Tell Deep Neural Networks What We Know.

Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

CoRR, 2021

Superpixel-based Domain-Knowledge Infusion in Computer Vision.

Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash

CoRR, 2021

Incorporating Domain Knowledge into Deep Neural Networks.

Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

CoRR, 2021

Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility.

Rohit Kaushik, Shikhar Jain, Siddhant Jain, Tirtharaj Dash

CAAI Trans. Intell. Technol., 2021

LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting.

Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design.

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Empirical Study of Data-Free Iterative Knowledge Distillation.

Het Shah, Ashwin Vaswani, Tirtharaj Dash, Ramya Hebbalaguppe, Ashwin Srinivasan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Adversarial neural networks for playing hide-and-search board game Scotland Yard.

Tirtharaj Dash, Sahith N. Dambekodi, Preetham N. Reddy, Ajith Abraham

Neural Comput. Appl., 2020

Lightweight approach to automated fault diagnosis in WSNs.

Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar

IET Networks, 2020

Multifault diagnosis in WSN using a hybrid metaheuristic trained neural network.

Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash

Digit. Commun. Networks, 2020

Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays.

Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan

CoRR, 2020

CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays.

Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

A Case Study of Transfer of Lesion-Knowledge.

Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression.

Sharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Neural network based automated detection of link failures in wireless sensor networks and extension to a study on the detection of disjoint nodes.

Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash

J. Ambient Intell. Humaniz. Comput., 2019

A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty.

Tirtharaj Dash, Himansu Sekhar Behera

Expert Syst. J. Knowl. Eng., 2019

A complete diagnosis of faulty sensor modules in a wireless sensor network.

Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar

Ad Hoc Networks, 2019

Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines.

Tirtharaj Dash, Ashwin Srinivasan, Ramprasad S. Joshi, A. Baskar

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Fault diagnosis and its prediction in wireless sensor networks using regressional learning to achieve fault tolerance.

Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash

Int. J. Commun. Syst., 2018

A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance.

Wazeer Zulfikar, Sebastin Santy, Sahith N. Dambekodi, Tirtharaj Dash

CoRR, 2018

Large-Scale Assessment of Deep Relational Machines.

Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

2017

A study on intrusion detection using neural networks trained with evolutionary algorithms.

Tirtharaj Dash

Soft Comput., 2017

An effective graph-theoretic approach towards simultaneous detection of fault(s) and cut(s) in wireless sensor networks.

Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar

Int. J. Commun. Syst., 2017

Genetic Algorithm-Based Oversampling Technique to Learn from Imbalanced Data.

Puneeth Srinivas Mohan Saladi, Tirtharaj Dash

Proceedings of the Soft Computing for Problem Solving, 2017

Image Captioning-Based Image Search Engine: An Alternative to Retrieval by Metadata.

Sethurathienam Iyer, Shubham Chaturvedi, Tirtharaj Dash

Proceedings of the Soft Computing for Problem Solving, 2017

Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach.

Preetham N. Reddy, Sahith N. Dambekodi, Tirtharaj Dash

Proceedings of the Joint Proceedings of the 3rd Modelling Symposium (ModSym), 2017

GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps.

Ashutosh Saboo, Anant Sharma, Tirtharaj Dash

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data.

Siddharth Dinesh, Tirtharaj Dash

CoRR, 2016

A Fuzzy MLP Approach for Non-linear Pattern Classification.

Tirtharaj Dash, Himansu Sekhar Behera

CoRR, 2016

Evolutionary Neural Networks versus Adaptive Resonance Theory Net for Breast Cancer Diagnosis.

Tanistha Nayak, Tirtharaj Dash, D. Chandrasekhar Rao, Prabhat K. Sahu

Proceedings of the International Conference on Informatics and Analytics, 2016

2015

Gradient gravitational search: An efficient metaheuristic algorithm for global optimization.

Tirtharaj Dash, Prabhat K. Sahu

J. Comput. Chem., 2015

Controlling Wall Following Robot Navigation Based on Gravitational Search and Feed Forward Neural Network.

Tirtharaj Dash, Tanistha Nayak, Rakesh Ranjan Swain

Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

2014

An Experimental Study of a Novel Move-to-Front-or-Middle (MFM) List Update Algorithm.

Rakesh Mohanty, Tirtharaj Dash, Biswadeep Khan, Shiba Prasad Dash

Proceedings of the Applied Algorithms - First International Conference, 2014

GA Based Polynomial Neural Network for Data Classification.

Janmenjoy Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, Himansu Sekhar Behera

Proceedings of the 2014 International Conference on Information Technology, 2014

2013

Solution to Quadratic Equation Using Genetic Algorithm.

Tanistha Nayak, Tirtharaj Dash

CoRR, 2013

Non-Correlated Character Recognition using Artificial Neural Network.

Tirtharaj Dash, Tanistha Nayak

CoRR, 2013

Parallel Algorithm for Longest Common Subsequence in a String.

Tirtharaj Dash, Tanistha Nayak

CoRR, 2013

English Character Recognition using Artificial Neural Network.

Tirtharaj Dash, Tanistha Nayak

CoRR, 2013

A Novel Approach for Intelligent Robot Path Planning.

Tirtharaj Dash, Goutam Mishra, Tanistha Nayak

CoRR, 2013

Time Efficient Approach To Offline Hand Written Character Recognition Using Associative Memory Net.

Tirtharaj Dash

CoRR, 2013