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Harshit Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c36]Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj:
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI 2024: 22962-22968 - [c35]Karan Bhukar, Harshit Kumar, Seema Nagar, Pooja Aggarwal, Ian Manning, Rohan Arora, Ruchi Mahindru, Amit M. Paradkar, Matthew Thornhill, Stephen Cook, Jack Buggins:
Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps. COMSNETS 2024: 291-293 - [c34]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR 2024 - [c33]Karan Bhukar
, Harshit Kumar
, Ruchi Mahindru
, Rohan Arora
, Seema Nagar
, Pooja Aggarwal
, Amit M. Paradkar
:
Dynamic Alert Suppression Policy for Noise Reduction in AIOps. ICSE-SEIP 2024: 178-188 - [c32]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. L4DC 2024: 1357-1369 - [i15]Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay:
Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. CoRR abs/2402.15163 (2024) - [i14]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. CoRR abs/2403.03409 (2024) - [i13]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction. CoRR abs/2404.06460 (2024) - [i12]Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. CoRR abs/2404.13125 (2024) - 2023
- [j9]Harshit Kumar
, Biswadeep Chakraborty
, Sudarshan Sharma, Saibal Mukhopadhyay
:
XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. IEEE Trans. Inf. Forensics Secur. 18: 5906-5919 (2023) - [c31]Harshit Kumar, Nikhil Deep Gupta:
Hole Transport Layer Free Photovoltaic Cell Based on Inorganic Perovskite for Indoor Energy Harvesting for IoT Applications. ANTS 2023: 656-661 - [c30]Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CLOUD 2023: 155-166 - [c29]Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta:
End-to-End Deep Reinforcement Learning for Conversation Disentanglement. AAAI 2023: 12571-12579 - [i11]Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CoRR abs/2308.11526 (2023) - [i10]Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj:
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR abs/2310.20280 (2023) - 2022
- [j8]Amit Kumar Sharma, Rakshith Alaham Gangeya, Harshit Kumar, Sandeep Chaurasia, Devesh Kumar Srivastava:
Ensemble Rumor Text Classification Model Applied to Different Tweet Features. Int. J. Fuzzy Log. Intell. Syst. 22(3): 325-338 (2022) - [j7]Harshit Kumar
, Manjit Panigrahi
, Anuradha Panwar, Divya Rajawat, Sonali Sonejita Nayak, K. A. Saravanan, Kaiho Kaisa, Subhashree Parida, Bharat Bhushan, Triveni Dutt:
Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data. J. Comput. Biol. 29(9): 943-960 (2022) - [c28]Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern:
Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. AAAI 2022: 12440-12446 - [c27]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN 2022: 1-8 - [c26]Harshit Kumar, Ruchi Mahindru, Debanjana Kar:
Metadata-based retrieval for resolution recommendation in AIOps. ESEC/SIGSOFT FSE 2022: 1379-1389 - [i9]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. CoRR abs/2206.12447 (2022) - [i8]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR abs/2207.12323 (2022) - [i7]Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay:
Forecasting local behavior of multi-agent system and its application to forest fire model. CoRR abs/2210.17289 (2022) - 2021
- [j6]Nikhil Chawla
, Arvind Singh
, Harshit Kumar
, Monodeep Kar
, Saibal Mukhopadhyay
:
Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. IEEE Internet Things J. 8(22): 16379-16394 (2021) - [j5]Rajit Karmakar
, Harshit Kumar
, Santanu Chattopadhyay
:
Efficient Key-Gate Placement and Dynamic Scan Obfuscation Towards Robust Logic Encryption. IEEE Trans. Emerg. Top. Comput. 9(4): 2109-2124 (2021) - [j4]Nikhil Chawla
, Harshit Kumar
, Saibal Mukhopadhyay
:
Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. IEEE Trans. Inf. Forensics Secur. 16: 3426-3441 (2021) - [c25]Raghav Batta, Larisa Shwartz, Michael Nidd, Amar Prakash Azad, Harshit Kumar:
A system for proactive risk assessment of application changes in cloud operations. CLOUD 2021: 112-123 - [c24]Harshit Kumar, Nikhil Chawla
, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. DAC 2021: 961-966 - [c23]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment. EMNLP (1) 2021: 10780-10792 - [c22]Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. ICSE (SEIP) 2021: 228-237 - [c21]Ruchi Mahindru, Harshit Kumar, Sahil Bansal:
Log Anomaly to Resolution: AI Based Proactive Incident Remediation. ASE 2021: 1353-1357 - [c20]Harshit Kumar, Jinang Shah, Nidhi Hegde, Priyanshu Gupta, Vaibhav Jindal, Ashutosh Modi:
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes. SemEval@ACL/IJCNLP 2021: 438-444 - [i6]Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. CoRR abs/2102.09336 (2021) - [i5]Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay:
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. CoRR abs/2103.11519 (2021) - [i4]Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra:
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. CoRR abs/2105.15065 (2021) - 2020
- [c19]Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason vs Exploiting Patterns. EMNLP (1) 2020: 7263-7269 - [c18]Harshit Kumar, Nikhil Chawla
, Saibal Mukhopadhyay:
BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. ISLPED 2020: 223-228 - [c17]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
VeeAlign: a supervised deep learning approach to ontology alignment. OM@ISWC 2020: 216-224 - [i3]Vivek Iyer, Arvind Agarwal, Harshit Kumar:
Multifaceted Context Representation using Dual Attention for Ontology Alignment. CoRR abs/2010.11721 (2020)
2010 – 2019
- 2019
- [c16]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. EMNLP/IJCNLP (1) 2019: 1980-1989 - [i2]Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi:
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns. CoRR abs/1909.03759 (2019) - 2018
- [c15]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi:
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. AAAI 2018: 3440-3447 - [c14]Harshit Kumar, Arvind Agarwal, Sachindra Joshi:
Dialogue-act-driven Conversation Model : An Experimental Study. COLING 2018: 1246-1256 - [c13]Rajit Karmakar, Harshit Kumar, Santanu Chattopadhyay:
On Finding Suitable Key-Gate Locations In Logic Encryption. ISCAS 2018: 1-5 - [c12]Yong Zheng
, Tanaya Dave, Neha Mishra, Harshit Kumar:
Fairness In Reciprocal Recommendations: A Speed-Dating Study. UMAP (Adjunct Publication) 2018: 29-34 - 2017
- [i1]Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar:
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF. CoRR abs/1709.04250 (2017) - 2014
- [j3]Harshit Kumar, Sungin Lee, Hong-Gee Kim
:
Exploiting social bookmarking services to build clustered user interest profile for personalized search. Inf. Sci. 281: 399-417 (2014) - 2012
- [c11]Harshit Kumar, Hong-Gee Kim:
Semantically Enriched Clustered User Interest Profile Built from Users' Tweets. AIRS 2012: 406-416 - [c10]Nidhi R. Arora, Wookey Lee, Carson Kai-Sang Leung
, Jin-Ho Kim, Harshit Kumar:
Efficient Fuzzy Ranking for Keyword Search on Graphs. DEXA (1) 2012: 502-510 - [c9]Harshit Kumar, Hong-Gee Kim:
Semantically Enriched User Interest Profile Built from Users' Tweets. ICADL 2012: 333-337 - 2011
- [j2]Seung-Jae Song, Eung-Hee Kim, Hong-Gee Kim
, Harshit Kumar:
Query-based association rule mining supporting user perspective. Computing 93(1): 1-25 (2011) - [c8]Harshit Kumar, Hong-Gee Kim:
Using Folksonomies for Building User Interest Profile. UMAP 2011: 438-441 - 2010
- [j1]Harshit Kumar, Sanggil Kang:
Exclusively Your's: Dynamic Individuate Search by Extending User Profile. New Gener. Comput. 28(1): 73-94 (2010) - [c7]Seokchan Yun, Mina Song, Hyun Namgung, Sung-Kwon Yang, Harshit Kumar, Hong-Gee Kim:
Improving the Workflow of Semantic Web Portals using M/R in Cloud Platform. KEOD 2010: 485-488 - [c6]Hyun Namgoong, Harshit Kumar, Hong-Gee Kim:
Mitigation of Large-scale RDF Data Loading with the Employment of a Cloud Computing Service. KEOD 2010: 489-492
2000 – 2009
- 2009
- [c5]Harshit Kumar, Pil Seong Park:
Know-Ont: Engineering a Knowledge Ontology for an Enterprise. FGIT-DTA 2009: 66-73 - 2008
- [c4]Pyungkwan Ko, Sanggil Kang, Harshit Kumar:
Web Page Dependent Vision Based Segementation for Web Sites. ACIS-ICIS 2008: 690-694 - [c3]Harshit Kumar, Sanggil Kang:
Another Face of Search Engine: Web Search API's. IEA/AIE 2008: 311-320 - [c2]Harshit Kumar, Sungjoon Park, Sanggil Kang:
A Personalized URL Re-ranking Methodology Using User's Browsing Behavior. KES-AMSTA 2008: 212-221 - 2007
- [c1]Harshit Kumar, Sungjoon Park, Sanggil Kang:
A Novel Method of Extracting and Rendering News Web Sites on Mobile Devices. KES (1) 2007: 588-595
Coauthor Index
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last updated on 2024-08-08 20:17 CEST by the dblp team
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