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Tirtharaj Dash
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2020 – today
- 2024
- [j16]Ashwin Srinivasan
, A. Baskar, Tirtharaj Dash, Devanshu Shah:
Composition of relational features with an application to explaining black-box predictors. Mach. Learn. 113(3): 1091-1132 (2024) - [c23]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: 21-29 - 2023
- [j15]Biswa Ranjan Senapati
AI-assisted Emergency Healthcare using Vehicular Network and Support Vector Machine. Wirel. Pers. Commun. 130(3): 1929-1962 (2023) - [c22]Soham Rohit Chitnis
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC 2023: 1-4 - [c21]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP 2023: 2400-2404 - [c20]Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig:
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV 2023: 1541-1549 - [i25]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 abs/2302.09833 (2023) - [i24]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR abs/2303.02310 (2023) - 2022
- [j14]Tirtharaj Dash
Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment. Mach. Learn. 111(2): 575-623 (2022) - [j13]Rakesh Ranjan Swain
Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey. Wirel. Pers. Commun. 127(4): 3211-3243 (2022) - [c19]Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash:
Superpixel-based knowledge infusion in deep neural networks for image classification. ACM Southeast Regional Conference 2022: 243-247 - [c18]Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash:
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI 2022: 13055-13056 - [c17]Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy 2022: 142-154 - [i23]Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah:
Composition of Relational Features with an Application to Explaining Black-Box Predictors. CoRR abs/2206.00738 (2022) - [i22]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 abs/2206.09258 (2022) - [i21]Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR abs/2209.08750 (2022) - [i20]Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig:
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR abs/2212.10005 (2022) - 2021
- [j12]Rohit Kaushik
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. CAAI Trans. Intell. Technol. 6(3): 265-280 (2021) - [j11]Tirtharaj Dash
Incorporating symbolic domain knowledge into graph neural networks. Mach. Learn. 110(7): 1609-1636 (2021) - [c16]Het Shah
Empirical Study of Data-Free Iterative Knowledge Distillation. ICANN (3) 2021: 546-557 - [c15]Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy:
Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP 2021: 78-94 - [c14]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: 189-198 - [i19]Abheesht Sharma, Harshit Pandey
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. CoRR abs/2102.12255 (2021) - [i18]Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan:
Incorporating Domain Knowledge into Deep Neural Networks. CoRR abs/2103.00180 (2021) - [i17]Gunjan Chhablani, Abheesht Sharma, Harshit Pandey
Superpixel-based Domain-Knowledge Infusion in Computer Vision. CoRR abs/2105.09448 (2021) - [i16]Tirtharaj Dash, Ashwin Srinivasan, A. Baskar:
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment. CoRR abs/2105.10709 (2021) - [i15]Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan:
How to Tell Deep Neural Networks What We Know. CoRR abs/2107.10295 (2021) - [i14]Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR abs/2110.09947 (2021) - [i13]Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash:
Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR abs/2111.10361 (2021) - 2020
- [j10]Rakesh Ranjan Swain, Pabitra Mohan Khilar
Multifault diagnosis in WSN using a hybrid metaheuristic trained neural network. Digit. Commun. Networks 6(1): 86-100 (2020) - [j9]Rakesh Ranjan Swain
Lightweight approach to automated fault diagnosis in WSNs. IET Networks 9(3): 110-119 (2020) - [j8]Tirtharaj Dash
Adversarial neural networks for playing hide-and-search board game Scotland Yard. Neural Comput. Appl. 32(8): 3149-3164 (2020) - [c13]Sharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan:
An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression. ESANN 2020: 217-222 - [c12]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: 61-73 - [c11]Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 138-145 - [i12]Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig:
Incorporating Symbolic Domain Knowledge into Graph Neural Networks. CoRR abs/2010.13900 (2020) - [i11]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 abs/2012.10787 (2020)
2010 – 2019
- 2019
- [j7]Rakesh Ranjan Swain, Tirtharaj Dash
A complete diagnosis of faulty sensor modules in a wireless sensor network. Ad Hoc Networks 93 (2019) - [j6]Tirtharaj Dash
A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty. Expert Syst. J. Knowl. Eng. 36(1) (2019) - [j5]Rakesh Ranjan Swain
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): 593-610 (2019) - [c10]Tirtharaj Dash
Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines. ICANN (2) 2019: 29-45 - [i10]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 abs/1911.06704 (2019) - 2018
- [j4]Rakesh Ranjan Swain
Fault diagnosis and its prediction in wireless sensor networks using regressional learning to achieve fault tolerance. Int. J. Commun. Syst. 31(14) (2018) - [c9]Tirtharaj Dash
Large-Scale Assessment of Deep Relational Machines. ILP 2018: 22-37 - [i9]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 abs/1809.05611 (2018) - 2017
- [j3]Rakesh Ranjan Swain, Tirtharaj Dash
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) - [j2]Tirtharaj Dash
A study on intrusion detection using neural networks trained with evolutionary algorithms. Soft Comput. 21(10): 2687-2700 (2017) - [c8]Ashutosh Saboo, Anant Sharma, Tirtharaj Dash
GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps. ICONIP (1) 2017: 230-239 - [c7]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 - [c6]Sethurathienam Iyer, Shubham Chaturvedi, Tirtharaj Dash
Image Captioning-Based Image Search Engine: An Alternative to Retrieval by Metadata. SocProS (2) 2017: 181-191 - [c5]Puneeth Srinivas Mohan Saladi, Tirtharaj Dash
Genetic Algorithm-Based Oversampling Technique to Learn from Imbalanced Data. SocProS (1) 2017: 387-397 - 2016
- [c4]Tanistha Nayak, Tirtharaj Dash
Evolutionary Neural Networks versus Adaptive Resonance Theory Net for Breast Cancer Diagnosis. ICIA 2016: 97:1-97:6 - [i8]Tirtharaj Dash, Himansu Sekhar Behera:
A Fuzzy MLP Approach for Non-linear Pattern Classification. CoRR abs/1601.03481 (2016) - [i7]Siddharth Dinesh, Tirtharaj Dash:
Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data. CoRR abs/1612.00671 (2016) - 2015
- [j1]Tirtharaj Dash
Gradient gravitational search: An efficient metaheuristic algorithm for global optimization. J. Comput. Chem. 36(14): 1060-1068 (2015) - [c3]Tirtharaj Dash
Controlling Wall Following Robot Navigation Based on Gravitational Search and Feed Forward Neural Network. PerMIn 2015: 196-200 - 2014
- [c2]Janmenjoy Nayak
GA Based Polynomial Neural Network for Data Classification. ICIT 2014: 234-239 - [c1]Rakesh Mohanty, Tirtharaj Dash, Biswadeep Khan
An Experimental Study of a Novel Move-to-Front-or-Middle (MFM) List Update Algorithm. ICAA 2014: 187-197 - 2013
- [i6]Tirtharaj Dash:
Time Efficient Approach To Offline Hand Written Character Recognition Using Associative Memory Net. CoRR abs/1306.4592 (2013) - [i5]Tirtharaj Dash, Tanistha Nayak:
English Character Recognition using Artificial Neural Network. CoRR abs/1306.4621 (2013) - [i4]Tanistha Nayak, Tirtharaj Dash:
Solution to Quadratic Equation Using Genetic Algorithm. CoRR abs/1306.4622 (2013) - [i3]Tirtharaj Dash, Tanistha Nayak:
Parallel Algorithm for Longest Common Subsequence in a String. CoRR abs/1306.4627 (2013) - [i2]Tirtharaj Dash, Tanistha Nayak:
Non-Correlated Character Recognition using Artificial Neural Network. CoRR abs/1306.4629 (2013) - [i1]Tirtharaj Dash, Goutam Mishra, Tanistha Nayak:
A Novel Approach for Intelligent Robot Path Planning. CoRR abs/1306.4672 (2013)
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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