Tirtharaj Dash

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Image Classification

Top Venues

Wirel. Pers. Commun.

Publications

Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. AAAI (2024)
Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah
Composition of relational features with an application to explaining black-box predictors. Mach. Learn. 113 (3) (2024)
Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC (2023)
Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP (2023)
Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq M. Khan, Erik Meijering, Ashwin Srinivasan
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR (2023)
Biswa Ranjan Senapati, Pabitra Mohan Khilar, Tirtharaj Dash, Rakesh Ranjan Swain
AI-assisted Emergency Healthcare using Vehicular Network and Support Vector Machine. Wirel. Pers. Commun. 130 (3) (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR (2023)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR (2022)
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR (2022)
Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah
Composition of Relational Features with an Application to Explaining Black-Box Predictors. CoRR (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy (2022)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI (2022)
Abhinav Lalwani, Aman Saraiya, Apoorv Singh, Aditya Jain, Tirtharaj Dash
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches. CoRR (2022)
Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey. Wirel. Pers. Commun. 127 (4) (2022)
Tirtharaj Dash, Ashwin Srinivasan, A. Baskar
Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment. Mach. Learn. 111 (2) (2022)
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash
Superpixel-based knowledge infusion in deep neural networks for image classification. ACM Southeast Regional Conference (2022)
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
How to Tell Deep Neural Networks What We Know. CoRR (2021)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR (2021)
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash
Superpixel-based Domain-Knowledge Infusion in Computer Vision. CoRR (2021)
Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. SemEval@ACL/IJCNLP (2021)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy
Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP (2021)
Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR (2021)
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
Incorporating Domain Knowledge into Deep Neural Networks. CoRR (2021)
Tirtharaj Dash, Ashwin Srinivasan, A. Baskar
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment. CoRR (2021)
Rohit Kaushik, Shikhar Jain, Siddhant Jain, Tirtharaj Dash
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. CAAI Trans. Intell. Technol. 6 (3) (2021)
Het Shah, Ashwin Vaswani, Tirtharaj Dash, Ramya Hebbalaguppe, Ashwin Srinivasan
Empirical Study of Data-Free Iterative Knowledge Distillation. ICANN (3) (2021)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
Incorporating symbolic domain knowledge into graph neural networks. Mach. Learn. 110 (7) (2021)
Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. CoRR (2021)
Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash
Multifault diagnosis in WSN using a hybrid metaheuristic trained neural network. Digit. Commun. Networks 6 (1) (2020)
Sharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan
An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression. ESANN (2020)
Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. CoRR (2020)
Tirtharaj Dash, Sahith N. Dambekodi, Preetham N. Reddy, Ajith Abraham
Adversarial neural networks for playing hide-and-search board game Scotland Yard. Neural Comput. Appl. 32 (8) (2020)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
Incorporating Symbolic Domain Knowledge into Graph Neural Networks. CoRR (2020)
Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
Lightweight approach to automated fault diagnosis in WSNs. IET Networks 9 (3) (2020)
Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI (2020)
Tirtharaj Dash, Himansu Sekhar Behera
A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty. Expert Syst. J. Knowl. Eng. 36 (1) (2019)
Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
A complete diagnosis of faulty sensor modules in a wireless sensor network. Ad Hoc Networks 93 (2019)
Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash
Neural network based automated detection of link failures in wireless sensor networks and extension to a study on the detection of disjoint nodes. J. Ambient Intell. Humaniz. Comput. 10 (2) (2019)
Shikhar Jain, Rohit Kaushik, Siddhant Jain, Tirtharaj Dash
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. CoRR (2019)
Tirtharaj Dash, Ashwin Srinivasan, Ramprasad S. Joshi, A. Baskar
Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines. ICANN (2) (2019)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
Large-Scale Assessment of Deep Relational Machines. ILP (2018)
Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash
Fault diagnosis and its prediction in wireless sensor networks using regressional learning to achieve fault tolerance. Int. J. Commun. Syst. 31 (14) (2018)
Wazeer Zulfikar, Sebastin Santy, Sahith N. Dambekodi, Tirtharaj Dash
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance. CoRR (2018)
Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
An effective graph-theoretic approach towards simultaneous detection of fault(s) and cut(s) in wireless sensor networks. Int. J. Commun. Syst. 30 (13) (2017)
Sethurathienam Iyer, Shubham Chaturvedi, Tirtharaj Dash
Image Captioning-Based Image Search Engine: An Alternative to Retrieval by Metadata. SocProS (2) (2017)
Ashutosh Saboo, Anant Sharma, Tirtharaj Dash
GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps. ICONIP (1) (2017)
Tirtharaj Dash
A study on intrusion detection using neural networks trained with evolutionary algorithms. Soft Comput. 21 (10) (2017)
Preetham N. Reddy, Sahith N. Dambekodi, Tirtharaj Dash
Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach. DIAS/EDUDM@ISEC (2017)
Puneeth Srinivas Mohan Saladi, Tirtharaj Dash
Genetic Algorithm-Based Oversampling Technique to Learn from Imbalanced Data. SocProS (1) (2017)
Tirtharaj Dash, Himansu Sekhar Behera
A Fuzzy MLP Approach for Non-linear Pattern Classification. CoRR (2016)
Siddharth Dinesh, Tirtharaj Dash
Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data. CoRR (2016)
Tanistha Nayak, Tirtharaj Dash, D. Chandrasekhar Rao, Prabhat K. Sahu
Evolutionary Neural Networks versus Adaptive Resonance Theory Net for Breast Cancer Diagnosis. ICIA (2016)
Tirtharaj Dash, Prabhat K. Sahu
Gradient gravitational search: An efficient metaheuristic algorithm for global optimization. J. Comput. Chem. 36 (14) (2015)
Tirtharaj Dash, Tanistha Nayak, Rakesh Ranjan Swain
Controlling Wall Following Robot Navigation Based on Gravitational Search and Feed Forward Neural Network. PerMIn (2015)
Rakesh Mohanty, Tirtharaj Dash, Biswadeep Khan, Shiba Prasad Dash
An Experimental Study of a Novel Move-to-Front-or-Middle (MFM) List Update Algorithm. ICAA (2014)
Janmenjoy Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, Himansu Sekhar Behera
GA Based Polynomial Neural Network for Data Classification. ICIT (2014)
Tirtharaj Dash
Time Efficient Approach To Offline Hand Written Character Recognition Using Associative Memory Net. CoRR (2013)
Tanistha Nayak, Tirtharaj Dash
Solution to Quadratic Equation Using Genetic Algorithm. CoRR (2013)
Tirtharaj Dash, Tanistha Nayak
English Character Recognition using Artificial Neural Network. CoRR (2013)
Tirtharaj Dash, Tanistha Nayak
Non-Correlated Character Recognition using Artificial Neural Network. CoRR (2013)
Tirtharaj Dash, Tanistha Nayak
Parallel Algorithm for Longest Common Subsequence in a String. CoRR (2013)
Tirtharaj Dash, Goutam Mishra, Tanistha Nayak
A Novel Approach for Intelligent Robot Path Planning. CoRR (2013)