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ORCIDShubham Gupta
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
- 2025
[j66]Weixiang Xu, Yaotong Song, Shubham Gupta
, Dongbao Jia, Jun Tang, Zhenyu Lei, Shangce Gao:
Dmixnet: a dendritic multi-layered perceptron architecture for image recognition. Artif. Intell. Rev. 58(4): 129 (2025)- [j65]Sharmila S. P, Shubham Gupta, Aruna Tiwari, Narendra S. Chaudhari:
Leveraging Memory Forensic Features for Explainable Obfuscated Malware Detection with Isolated Family Distinction Paradigm. Comput. Electr. Eng. 123: 110107 (2025) - [j64]Shubham Gupta, Ayush Kumar, Vinay Kumar, Shitu Singh, Sachin, Mayank Gautam:
Autonomous underwater vehicle path planning using fitness-based differential evolution algorithm. J. Comput. Sci. 85: 102498 (2025) - [j63]Shubham Gupta, Abhishek Rajora, Suman Kundu:
EA$^{2}$2N: Evidence-Based AMR Attention Network for Fake News Detection. IEEE Trans. Knowl. Data Eng. 37(4): 1742-1752 (2025) - [i47]Nikolaos Livathinos, Christoph Auer, Maksym Lysak, Ahmed Nassar, Michele Dolfi, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Kasper Dinkla, Yusik Kim, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar:
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion. CoRR abs/2501.17887 (2025) - [i46]Shubham Gupta, Thibaut Durand, Graham Taylor, Lilian W. Bialokozowicz:
LAST SToP For Modeling Asynchronous Time Series. CoRR abs/2502.01922 (2025) - [i45]Shubham Gupta, Zichao Li, Tianyi Chen, Cem Subakan, Siva Reddy, Perouz Taslakian, Valentina Zantedeschi:
ReTreever: Tree-based Coarse-to-Fine Representations for Retrieval. CoRR abs/2502.07971 (2025) - [i44]Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris:
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR abs/2502.09927 (2025) - [i43]Sidharth Agarwal, Tanishq Dubey, Shubham Gupta, Srikanta Bedathur:
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings. CoRR abs/2503.00852 (2025) - 2024
- [j62]Bin Li, Shubham Gupta, Emmanuel Müller:
State-transition-aware anomaly detection under concept drifts. Data Knowl. Eng. 154: 102365 (2024) - [j61]Housila P. Singh, Gajendra K. Vishwakarma, Harshada Joshi, Shubham Gupta:
Shrinkage estimation for square of location parameter of the exponential distribution with known coefficient of variation. J. Comput. Appl. Math. 437: 115489 (2024) - [j60]Shubham Gupta, Saurabh Gupta:
Fitness and historical success information-assisted binary particle swarm optimization for feature selection. Knowl. Based Syst. 306: 112699 (2024) - [j59]Abrar Majeedi, Ryan M. McAdams, Ravneet Kaur, Shubham Gupta, Harpreet Singh, Yin Li:
Deep learning to quantify care manipulation activities in neonatal intensive care units. npj Digit. Medicine 7(1) (2024) - [c63]Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie:
Clustering Items From Adaptively Collected Inconsistent Feedback. AISTATS 2024: 604-612 - [c62]Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari, Mirco Ravanelli, Cem Subakan:
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming. ANNPR 2024: 269-280 - [c61]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. COMAD/CODS 2024: 54-63 - [c60]Mona Ghassemian, Dejan Vukobratovic, Xueli An, Andres Meseguer Valenzuela, Luís Cordeiro, João Fernandes, Luís Rosa, Sergio Aguilar, Shubham Gupta:
Integrated 3D Networking and Ambient IoT in 6G. CSCN 2024: 218-223 - [c59]Shubham Gupta, Nandini Saini, Suman Kundu, Debasis Das:
CrisisKAN: Knowledge-Infused and Explainable Multimodal Attention Network for Crisis Event Classification. ECIR (2) 2024: 18-33 - [c58]Shubham Gupta, Nandini Saini, Suman Kundu, Chiranjoy Chattopadhyay, Debasis Das:
Synergizing Vision and Language in Remote Sensing: A Multimodal Approach for Enhanced Disaster Classification in Emergency Response Systems. IGARSS 2024: 3278-3281 - [c57]Nandini Saini, Shubham Gupta, Chiranjoy Chattopadhyay, Debasis Das, Suman Kundu:
EVDNET: Towards Explainable Multi Scale, Anchor Free Vehicle Detection Network in High Resolution Aerial Imagery. IGARSS 2024: 8228-8231 - [c56]Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson:
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. PacificVis 2024: 52-61 - [i42]Shubham Gupta, Nandini Saini, Suman Kundu, Debasis Das:
CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification. CoRR abs/2401.06194 (2024) - [i41]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives. CoRR abs/2402.09239 (2024) - [i40]Shubham Gupta:
Discrete functional inequalities on lattice graphs. CoRR abs/2403.10270 (2024) - [i39]Shubham Gupta, Mirco Ravanelli, Pascal Germain, Cem Subakan:
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice. CoRR abs/2406.10422 (2024) - [i38]Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta, Michele Dolfi, Peter W. J. Staar:
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs. CoRR abs/2406.19102 (2024) - [i37]Christoph Auer, Maksym Lysak, Ahmed S. Nassar, Michele Dolfi, Nikolaos Livathinos, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Fabian Lindlbauer, Kasper Dinkla, Lokesh Mishra, Yusik Kim, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar:
Docling Technical Report. CoRR abs/2408.09869 (2024) - [i36]Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari, Mirco Ravanelli, Cem Subakan:
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming. CoRR abs/2410.05455 (2024) - [i35]Rafael Teixeira de Lima, Shubham Gupta, Cesar Berrospi, Lokesh Mishra, Michele Dolfi, Peter W. J. Staar, Panagiotis Vagenas:
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems. CoRR abs/2411.19710 (2024) - [i34]Surya Dheeshjith, Adam Subel, Alistair Adcroft, Julius Busecke, Carlos Fernandez-Granda, Shubham Gupta, Laure Zanna:
Samudra: An AI Global Ocean Emulator for Climate. CoRR abs/2412.03795 (2024) - 2023
- [j58]Ravneet Kaur, Monika Jain, Ryan M. McAdams, Yao Sun, Shubham Gupta, Raghava Mutharaju, Su Jin Cho, Satish Saluja, Jonathan P. Palma, Avneet Kaur, Harpreet Singh:
An Ontology and Rule-Based Clinical Decision Support System for Personalized Nutrition Recommendations in the Neonatal Intensive Care Unit. IEEE Access 11: 142433-142446 (2023) - [j57]Shubham Gupta, Subhodip Chatterjee, Ayush Malviya, Gurpreet Singh, Arnab Chanda:
A Novel Computational Model for Traction Performance Characterization of Footwear Outsoles with Horizontal Tread Channels. Comput. 11(2): 23 (2023) - [j56]Mohammad Afazal, Shubham Gupta, Abhishek Tevatia, Saba Afreen, Arnab Chanda:
Computational Investigation of Dental Implant Restoration Using Platform-Switched and -Matched Configurations. Comput. 11(4): 79 (2023) - [j55]Shubham Gupta, Suman Kundu:
Interaction graph, topical communities, and efficient local event detection from social streams. Expert Syst. Appl. 232: 120890 (2023) - [j54]Shubham Gupta, Shitu Singh, Rong Su, Shangce Gao, Jagdish Chand Bansal:
Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution. IEEE CAA J. Autom. Sinica 10(1): 135-158 (2023) - [j53]Purva Sharma, Shubham Gupta, Vimal Bhatia, Shashi Prakash:
Deep reinforcement learning-based routing and resource assignment in quantum key distribution-secured optical networks. IET Quantum Commun. 4(3): 136-145 (2023) - [j52]Shubham Gupta, Rong Su:
Diversity-enhanced modified sine cosine algorithm and its application in solving engineering design problems. J. Comput. Sci. 72: 102105 (2023) - [j51]Shubham Gupta, Rong Su:
Multiple individual guided differential evolution with time varying and feedback information-based control parameters. Knowl. Based Syst. 259: 110091 (2023) - [j50]Shubham Gupta, Weihua Shu, Yi Zhang, Rong Su:
Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks. Knowl. Based Syst. 274: 110636 (2023) - [j49]Swati Gupta, Shubham Gupta, Shifali Kataria, Sanjay Gupta:
ICT - a surviving tool for economy in the phase of social distancing: a systematic literature review. Kybernetes 52(9): 3136-3160 (2023) - [j48]Shubham Gupta, Abhishek Roy, Subodha Kumar, Ram Mudambi:
When Worse Is Better: Strategic Choice of Vendors with Differentiated Capabilities in a Complex Cocreation Environment. Manag. Sci. 69(5): 2833-2851 (2023) - [j47]Shubham Gupta, Vinod Kumar Yadav, Madhusudan Singh:
Measuring Influence of Indices in DN Planning. IEEE Syst. J. 17(3): 4149-4152 (2023) - [c55]Shubham Gupta, Narendra Yadav, Suman Kundu, Sainathreddy Sankepally:
FakEDAMR: Fake News Detection Using Abstract Meaning Representation Network. COMPLEX NETWORKS (1) 2023: 308-319 - [c54]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [c53]Bhaskara Santhosh Egala, Ashok Kumar Pradhan, Shubham Gupta:
Block-Privacy: Privacy Preserving Smart Healthcare Framework: Leveraging Blockchain and Functional Encryption. IFIPIoT (2) 2023: 114-132 - [c52]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur:
Generative Modeling of Labeled Graphs Under Data Scarcity. LoG 2023: 32 - [c51]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701 - [c50]Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya:
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC 2023: 994-1005 - [i33]Moksh Shukla, Nitik Jain, Shubham Gupta:
IR Models and the COVID-19 Pandemic: A Comparative Study of Performance and Challenges. CoRR abs/2305.12528 (2023) - [i32]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR abs/2306.03447 (2023) - [i31]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur:
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR abs/2306.03480 (2023) - [i30]Keifer Lee, Shubham Gupta, Sunglyoung Kim, Bhargav Makwana, Chao Chen, Chen Feng:
SO-NeRF: Active View Planning for NeRF using Surrogate Objectives. CoRR abs/2312.03266 (2023) - [i29]Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson:
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. CoRR abs/2312.14973 (2023) - 2022
- [j46]Shubham Gupta, Yi Zhang, Rong Su:
Urban traffic light scheduling for pedestrian-vehicle mixed-flow networks using discrete sine-cosine algorithm and its variants. Appl. Soft Comput. 120: 108656 (2022) - [j45]Shubham Gupta, Rong Su, Shitu Singh:
Diversified sine-cosine algorithm based on differential evolution for multidimensional knapsack problem. Appl. Soft Comput. 130: 109682 (2022) - [j44]Gajendra K. Vishwakarma, Shubham Gupta:
Shrinkage estimator for scale parameter of gamma distribution. Commun. Stat. Simul. Comput. 51(6): 3073-3080 (2022) - [j43]Shubham Gupta:
Enhanced sine cosine algorithm with crossover: A comparative study and empirical analysis. Expert Syst. Appl. 198: 116856 (2022) - [j42]Shubham Gupta:
Enhanced harmony search algorithm with non-linear control parameters for global optimization and engineering design problems. Eng. Comput. 38(4): 3539-3562 (2022) - [j41]Honey Yadav, Umang Soni, Shubham Gupta, Girish Kumar:
Evaluation of Barriers in the Adoption of E-Commerce Technology in SMEs: A Fuzzy DEMATEL Approach. J. Electron. Commer. Organ. 20(1): 1-18 (2022) - [j40]George N. Rouskas, Shubham Gupta, Priya Sharma:
Symmetry-free algorithm for spectrum allocation: parallel implementations and evaluation. JOCN 15(10): E40-E50 (2022) - [j39]Shubham Gupta, Rong Su:
An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters. Knowl. Based Syst. 251: 109280 (2022) - [j38]Akhilesh Kumar Srivastava, Anand Srivastava, Siddhartha Singh, S. Sugandha, Tripta, Shubham Gupta:
Design of Machine-Learning Classifier for Stock Market Prediction. SN Comput. Sci. 3(1): 88 (2022) - [j37]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari, Sandeep Saxena:
SEAI: Secrecy and Efficiency Aware Inter-gNB Handover Authentication and Key Agreement Protocol in 5G Communication Network. Wirel. Pers. Commun. 122(4): 2925-2962 (2022) - [c49]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI 2022: 6819-6828 - [c48]Shubham Gupta, Uma D., Ramachandra Hebbar:
Analysis and Application of Multispectral Data for Water Segmentation Using Machine Learning. CVMI 2022: 709-718 - [c47]George N. Rouskas, Shubham Gupta, Priya Sharma:
Experimental Evaluation of a Symmetry-Free Parallel Algorithm for Spectrum Allocation. GLOBECOM 2022: 3682-3687 - [c46]George N. Rouskas, Priya Sharma, Shubham Gupta:
Parameterized First Fit (PFF): Eliminating Symmetry in Spectrum Allocation. GLOBECOM 2022: 3688-3693 - [c45]Aadirupa Saha, Shubham Gupta:
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits. ICML 2022: 19027-19049 - [c44]Remy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta:
Differentiable Rule Induction with Learned Relational Features. NeSy 2022: 30-44 - [c43]Shubham Gupta, Ambedkar Dukkipati:
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions. NeurIPS 2022 - [c42]Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo:
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. PACLIC 2022: 147-156 - [i28]Remy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta:
Differentiable Rule Induction with Learned Relational Features. CoRR abs/2201.06515 (2022) - [i27]Shubham Gupta, Ambedkar Dukkipati:
On consistency of constrained spectral clustering under representation-aware stochastic block model. CoRR abs/2203.02005 (2022) - [i26]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR abs/2203.03564 (2022) - [i25]Shubham Gupta, Srikanta Bedathur:
A Survey on Temporal Graph Representation Learning and Generative Modeling. CoRR abs/2208.12126 (2022) - [i24]Sheel Shah, Shubham Gupta:
Reinforcement Learning for ConnectX. CoRR abs/2210.08263 (2022) - [i23]Shubham Gupta, Rahul Kunigal Ravishankar, Madhoolika Gangaraju, Poojasree Dwarkanath, Natarajan Subramanyam:
WSSL: Weighted Self-supervised Learning Framework For Image-inpainting. CoRR abs/2211.13856 (2022) - [i22]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. CoRR abs/2211.13858 (2022) - [i21]Shubham Gupta, Uma D., Ramachandra Hebbar:
Analysis and application of multispectral data for water segmentation using machine learning. CoRR abs/2212.08749 (2022) - 2021
- [j36]Shubham Gupta, Gururaj K, Ambedkar Dukkipati, Rui M. Castro:
Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. J. Complex Networks 10(2) (2021) - [j35]Shubham Gupta, Hammoudi Abderazek, Betül Sultan Yildiz, Ali Riza Yildiz, Seyedali Mirjalili, Sadiq M. Sait:
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems. Expert Syst. Appl. 183: 115351 (2021) - [j34]Shubham Gupta, Kusum Deep, Ali Asghar Heidari, Hossein Moayedi, Huiling Chen:
Harmonized salp chain-built optimization. Eng. Comput. 37(2): 1049-1079 (2021) - [j33]Shubham Gupta, Kusum Deep, Hossein Moayedi, Loke Kok Foong, Assif Assad:
Sine cosine grey wolf optimizer to solve engineering design problems. Eng. Comput. 37(4): 3123-3149 (2021) - [j32]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
ISAG: IoT-enabled and Secrecy Aware Group-based handover scheme for e-health services in M2M communication network. Future Gener. Comput. Syst. 125: 168-187 (2021) - [j31]Shivangi Raj, Prakasam Periasamy, Shubham Gupta:
Audio signal quality enhancement using multi-layered convolutional neural network based auto encoder-decoder. Int. J. Speech Technol. 24(2): 425-437 (2021) - [j30]Shivangi Raj, Prakasam Periasamy, Shubham Gupta:
Multilayered convolutional neural network-based auto-CODEC for audio signal denoising using mel-frequency cepstral coefficients. Neural Comput. Appl. 33(16): 10199-10209 (2021) - [c41]Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati:
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. AAAI 2021: 4054-4062 - [c40]Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal, Prakash Ramesh, Shubham Gupta, Kumar Shridhar, Felix Laumann, Ayushman Dash:
One to Rule Them All: Towards Joint Indic Language Hate Speech Detection. FIRE (Working Notes) 2021: 419-431 - [c39]Yingxin Zhang, Shubham Gupta, Subodha Kumar, Xiangpei Hu:
To Discount or Not to Discount: A Game-Theoretic Analysis of the Pricing and Survival Dilemma in Luxury E-commerce. ICIS 2021 - [c38]Shubham Gupta, Vinod Kumar Yadav, Madhusudan Singh:
A New Novel Approach for Optimal Capacitor Placement in Radial Distribution Networks using Data Envelopment Analysis. IECON 2021: 1-7 - [c37]Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati:
Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. NAACL-HLT 2021: 1982-1995 - [i20]Shubham Gupta, Aadirupa Saha, Sumeet Katariya:
Pure Exploration with Structured Preference Feedback. CoRR abs/2104.05294 (2021) - [i19]Carola Sundaramoorthy, Lin Ziwen Kelvin, Mahak Sarin, Shubham Gupta:
End-to-End Attention-based Image Captioning. CoRR abs/2104.14721 (2021) - [i18]Shubham Gupta, Ambedkar Dukkipati:
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees. CoRR abs/2105.03714 (2021) - [i17]Ambedkar Dukkipati, Tony Gracious, Shubham Gupta:
CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India. CoRR abs/2109.06056 (2021) - [i16]Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo:
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. CoRR abs/2109.11199 (2021) - [i15]Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal, Prakash Ramesh, Shubham Gupta, Kumar Shridhar, Felix Laumann, Ayushman Dash:
One to rule them all: Towards Joint Indic Language Hate Speech Detection. CoRR abs/2109.13711 (2021) - [i14]Shubham Gupta, Aadirupa Saha:
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits. CoRR abs/2111.03917 (2021) - 2020
- [j29]Shubham Gupta, Kusum Deep:
A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons. Appl. Intell. 50(4): 993-1026 (2020) - [j28]Shubham Gupta, Kusum Deep:
A memory-based Grey Wolf Optimizer for global optimization tasks. Appl. Soft Comput. 93: 106367 (2020) - [j27]Shubham Gupta, Kusum Deep, Seyedali Mirjalili:
An efficient equilibrium optimizer with mutation strategy for numerical optimization. Appl. Soft Comput. 96: 106542 (2020) - [j26]Shubham Gupta, Kusum Deep, Andries P. Engelbrecht:
A memory guided sine cosine algorithm for global optimization. Eng. Appl. Artif. Intell. 93: 103718 (2020) - [j25]Zhenyu Lei, Shangce Gao, Shubham Gupta, Jiujun Cheng, Gang Yang:
An aggregative learning gravitational search algorithm with self-adaptive gravitational constants. Expert Syst. Appl. 152: 113396 (2020) - [j24]Shubham Gupta, Kusum Deep, Seyedali Mirjalili, Joong Hoon Kim:
A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization. Expert Syst. Appl. 154: 113395 (2020) - [j23]Shubham Gupta, Kusum Deep, Ali Asghar Heidari, Hossein Moayedi, Mingjing Wang:
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis. Expert Syst. Appl. 158: 113510 (2020) - [j22]Shubham Gupta, Kusum Deep:
Enhanced leadership-inspired grey wolf optimizer for global optimization problems. Eng. Comput. 36(4): 1777-1800 (2020) - [j21]Mamta Juneja, Shaswat Singh, Naman Agarwal, Shivank Bali, Shubham Gupta, Niharika Thakur, Prashant Jindal:
Automated detection of Glaucoma using deep learning convolution network (G-net). Multim. Tools Appl. 79(21-22): 15531-15553 (2020) - [j20]Shubham Gupta, Kusum Deep:
Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation. Neural Comput. Appl. 32(13): 9521-9543 (2020) - [c36]Balu L. Parne, Shubham Gupta, Kaneesha Gandhi, Shubhangi Meena:
PPSE: Privacy Preservation and Security Efficient AKA Protocol for 5G Communication Networks. IEEE ANTS 2020: 1-6 - [c35]Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. AAMAS 2020: 1858-1860 - [c34]Shubham Gupta, Ambedkar Dukkipati:
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. AAMAS 2020: 1861-1863 - [c33]Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. IEEE BigData 2020: 4646-4650 - [c32]Shubham Gupta:
A Hybrid Machine Learning Framework of Gradient Boosting Decision Tree and Sequence Model for Predicting Escalation in Customer Support. IEEE BigData 2020: 5511-5518 - [c31]Shubham Gupta, Sneha Chokshi:
Digital Marketing Effectiveness Using Incrementality. ICACDS 2020: 66-75 - [c30]Shubham Gupta, Anshuman Gupta, Parth Savjani, Rahul Kumar:
Optimizing Creative Allocations in Digital Marketing. ICACDS 2020: 419-429 - [c29]Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP 2020: 3807-3811 - [c28]Rishabh Kaushal, Shubham Gupta, Ponnurangam Kumaraguru:
Investigation of biases in identity linkage DataSets. SAC 2020: 1861-1868 - [c27]Hemshree Madaan, Shubham Gupta:
AI Improving the Lives of Physically Disabled. SoCPaR 2020: 103-112 - [i13]Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. CoRR abs/2004.02780 (2020) - [i12]Gurpriya Kaur Bhatia, Shubham Gupta, Alpana Dubey, Ponnurangam Kumaraguru:
WorkerRep: Immutable Reputation System For Crowdsourcing Platform Based on Blockchain. CoRR abs/2006.14782 (2020) - [i11]Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. CoRR abs/2012.04681 (2020)
2010 – 2019
- 2019
- [j19]Harpreet Singh, Ravneet Kaur, Abhilash Gangadharan, Ashish Kumar Pandey, Ashray Manur, Yao Sun, Satish Saluja, Shubham Gupta, Jonathan P. Palma, Praveen Kumar:
Neo-Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU). IEEE Access 7: 7803-7813 (2019) - [j18]Shubham Gupta, Umang Soni, Girish Kumar:
Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Comput. Ind. Eng. 136: 663-680 (2019) - [j17]Shubham Gupta, Kusum Deep:
A hybrid self-adaptive sine cosine algorithm with opposition based learning. Expert Syst. Appl. 119: 210-230 (2019) - [j16]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
SRGH: A secure and robust group-based handover AKA protocol for MTC in LTE-A networks. Int. J. Commun. Syst. 32(8) (2019) - [j15]Shubham Gupta, Kusum Deep:
An opposition-based chaotic Grey Wolf Optimizer for global optimisation tasks. J. Exp. Theor. Artif. Intell. 31(5): 751-779 (2019) - [j14]Shubham Gupta, Kusum Deep:
Improved sine cosine algorithm with crossover scheme for global optimization. Knowl. Based Syst. 165: 374-406 (2019) - [j13]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
PSEH: A provably secure and efficient handover AKA protocol in LTE/LTE-A network. Peer-to-Peer Netw. Appl. 12(4): 989-1011 (2019) - [j12]Balu L. Parne, Shubham Gupta, Narendra S. Chaudhari:
PSE-AKA: Performance and security enhanced authentication key agreement protocol for IoT enabled LTE/LTE-A networks. Peer-to-Peer Netw. Appl. 12(5): 1156-1177 (2019) - [j11]Shubham Gupta, Kusum Deep:
A novel Random Walk Grey Wolf Optimizer. Swarm Evol. Comput. 44: 101-112 (2019) - [c26]Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati:
A Generative Model for Dynamic Networks with Applications. AAAI 2019: 7842-7849 - [c25]Neetu Jindal, Sandeep Chandran, Preeti Ranjan Panda, Sanjiva Prasad, Abhay Mitra, Kunal Singhal, Shubham Gupta, Shikhar Tuli:
DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring. DAC 2019: 99 - [i10]Shubham Gupta, Ambedkar Dukkipati:
On Voting Strategies and Emergent Communication. CoRR abs/1902.06897 (2019) - [i9]Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR abs/1910.12757 (2019) - [i8]Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati:
Active Learning with Siamese Twins for Sequence Tagging. CoRR abs/1911.00234 (2019) - [i7]Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro:
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. CoRR abs/1911.04172 (2019) - [i6]Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati:
A Statistical Model for Dynamic Networks with Neural Variational Inference. CoRR abs/1911.11455 (2019) - 2018
- [b1]Shubham Gupta:
Deep Learning in Rectified Gaussian Nets. University of California, San Diego, USA, 2018 - [j10]Balu L. Parne, Shubham Gupta, Narendra S. Chaudhari:
SEGB: Security Enhanced Group Based AKA Protocol for M2M Communication in an IoT Enabled LTE/LTE-A Network. IEEE Access 6: 3668-3684 (2018) - [j9]Shubham Gupta, Kusum Deep:
Random walk grey wolf optimizer for constrained engineering optimization problems. Comput. Intell. 34(4): 1025-1045 (2018) - [j8]Shubham Gupta, Kusum Deep:
Cauchy Grey Wolf Optimiser for continuous optimisation problems. J. Exp. Theor. Artif. Intell. 30(6): 1051-1075 (2018) - [j7]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
DGBES: Dynamic Group Based Efficient and Secure Authentication and Key Agreement Protocol for MTC in LTE/LTE-A Networks. Wirel. Pers. Commun. 98(3): 2867-2899 (2018) - [j6]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
A Proxy Signature Based Efficient and Robust Handover AKA Protocol for LTE/LTE-A Networks. Wirel. Pers. Commun. 103(3): 2317-2352 (2018) - [c24]Kuntal Dey, Hemank Lamba, Seema Nagar, Shubham Gupta, Saroj Kaushik:
Modeling Topical Information Diffusion over Microblog Networks. COMPLEX NETWORKS (1) 2018: 353-364 - [c23]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
An efficient handover AKA protocol for wireless network using Chameleon Hash function. RAIT 2018: 1-7 - [c22]Balu L. Parne, Shubham Gupta, Narendra S. Chaudhari:
SEACE: Security enhanced and computationally efficient AKA protocol for UMTS networks. RAIT 2018: 1-7 - [c21]Shubham Gupta, Kusum Deep, Assif Assad:
Reliability-Redundancy Allocation Using Random Walk Gray Wolf Optimizer. SocProS (1) 2018: 941-959 - [i5]Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati:
Evolving Latent Space Model for Dynamic Networks. CoRR abs/1802.03725 (2018) - [i4]Jasper Friedrichs, Debanjan Mahata, Shubham Gupta:
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. CoRR abs/1803.07718 (2018) - 2017
- [c20]Jasper Friedrichs, Debanjan Mahata, Shubham Gupta:
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. SMM4H@AMIA 2017: 68-71 - [c19]Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati:
Attentive Recurrent Comparators. ICML 2017: 3173-3181 - [c18]Shubham Gupta, Kusum Deep:
Improved Grey Wolf Optimizer Based on Opposition-Based Learning. SocProS (2) 2017: 327-338 - [c17]Shubham Gupta, Kusum Deep:
Hybrid Grey Wolf Optimizer with Mutation Operator. SocProS (2) 2017: 961-968 - [i3]Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati:
Attentive Recurrent Comparators. CoRR abs/1703.00767 (2017) - 2016
- [j5]Dimitris Bertsimas, Shubham Gupta:
Fairness and Collaboration in Network Air Traffic Flow Management: An Optimization Approach. Transp. Sci. 50(1): 57-76 (2016) - [c16]Parmeshwar Birajadar, Varun Patidar, Pushkaraj Shirvalkar, Shubham Gupta, Vikram Gadre:
Enhancement of latent fingerprints on banknotes using monogenic wavelets. SPCOM 2016: 1-5 - 2014
- [j4]Dimitris Bertsimas, Shubham Gupta, Guglielmo Lulli:
Dynamic resource allocation: A flexible and tractable modeling framework. Eur. J. Oper. Res. 236(1): 14-26 (2014) - [j3]Pedro A. Szekely, Craig A. Knoblock, Fengyu Yang, Eleanor E. Fink, Shubham Gupta, Rachel Allen, Georgina Goodlander:
Publishing the Data of the Smithsonian American Art Museum to the Linked Data Cloud. Int. J. Humanit. Arts Comput. 8(supplement): 152-166 (2014) - [c15]Dustin Dannenhauer, Michael T. Cox, Shubham Gupta, Matthew Paisner, Donald Perlis:
Toward Meta-level Control of Autonomous Agents. BICA 2014: 226-232 - [c14]Balaji Vasan Srinivasan, Akshay Kumar, Shubham Gupta, Khushi Gupta:
Stemming the Flow of Information in a Social Network. SocInfo 2014: 326-335 - [i2]Neelima Gupta, Shubham Gupta:
Approximation algorithms for Capacitated Facility Location Problem with Penalties. CoRR abs/1408.4944 (2014) - 2013
- [j2]Ankit Aggarwal, Anand Louis, Manisha Bansal, Naveen Garg, Neelima Gupta, Shubham Gupta, Surabhi Jain:
A 3-approximation algorithm for the facility location problem with uniform capacities. Math. Program. 141(1-2): 527-547 (2013) - [c13]Shubham Gupta, Akshaya Moharana, Rajiv K. Varma:
Frequency scanning study of sub-synchronous resonance in power systems. CCECE 2013: 1-6 - [c12]Ivana Chingovska, J. Yang, Zhen Lei, Dong Yi, Stan Z. Li, Olga Kähm, Christian Glaser, Naser Damer, Arjan Kuijper, Alexander Nouak, Jukka Komulainen, Tiago Freitas Pereira, Shubham Gupta, Shubham Khandelwal, Shubham Bansal, Ayush K. Rai, Tarun Krishna, Dushyant Goyal, Muhammad-Adeel Waris, Honglei Zhang, Iftikhar Ahmad, Serkan Kiranyaz, Moncef Gabbouj, Roberto Tronci, Maurizio Pili, Nicola Sirena, Fabio Roli, Javier Galbally, Julian Fiérrez, Allan da Silva Pinto, Hélio Pedrini, W. S. Schwartz, Anderson Rocha, André Anjos, Sébastien Marcel:
The 2nd competition on counter measures to 2D face spoofing attacks. ICB 2013: 1-6 - [c11]Shubham Bansal, Shubham Khandelwal, Shubham Gupta, Dushyant Goyal:
Kitchen activity recognition based on scene context. ICIP 2013: 3461-3465 - [c10]Tarun Krishna, Ayush K. Rai, Shubham Bansal, Shubham Khandelwal, Shubham Gupta, Dushyant Goyal:
Emotion recognition using facial and audio features. ICMI 2013: 557-564 - [c9]Craig A. Knoblock, Pedro A. Szekely, Shubham Gupta, Animesh Manglik, Ruben Verborgh, Fengyu Yang, Rik Van de Walle:
Publishing Data from the Smithsonian American Art Museum as Linked Open Data. ISWC (Posters & Demos) 2013: 129-132 - [i1]Kishore Kothapalli, Dip Sankar Banerjee, P. J. Narayanan, Surinder Sood, Aman Kumar Bahl, Shashank Sharma, Shrenik Lad, Krishna Kumar Singh, Kiran Kumar Matam, Sivaramakrishna Bharadwaj, Rohit Nigam, Parikshit Sakurikar, Aditya Deshpande, Ishan Misra, Siddharth Choudhary, Shubham Gupta:
CPU and/or GPU: Revisiting the GPU Vs. CPU Myth. CoRR abs/1303.2171 (2013) - 2012
- [c8]Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Aman Goel, Shubham Gupta, Kristina Lerman, Maria Muslea, Mohsen Taheriyan, Parag Mallick:
Semi-automatically Mapping Structured Sources into the Semantic Web. ESWC 2012: 375-390 - [c7]Shubham Gupta, Pedro A. Szekely, Craig A. Knoblock, Aman Goel, Mohsen Taheriyan, Maria Muslea:
Karma: A System for Mapping Structured Sources into the Semantic Web. ESWC (Satellite Events) 2012: 430-434 - 2011
- [c6]Pedro A. Szekely, Craig A. Knoblock, Shubham Gupta, Mohsen Taheriyan, Bo Wu:
Exploiting semantics of web services for geospatial data fusion. GIS-SSO 2011: 32-39 - [c5]Yolanda Gil, Pedro A. Szekely, Sandra Villamizar, Thomas C. Harmon, Varun Ratnakar, Shubham Gupta, Maria Muslea, Fabio Silva, Craig A. Knoblock:
Mind Your Metadata: Exploiting Semantics for Configuration, Adaptation, and Provenance in Scientific Workflows. ISWC (2) 2011: 65-80 - [c4]Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Shubham Gupta, Aman Goel, Maria Muslea, Kristina Lerman, Parag Mallick:
Interactively Mapping Data Sources into the Semantic Web. LISC 2011 - 2010
- [c3]Siddharth Choudhary, Shubham Gupta, P. J. Narayanan:
Practical Time Bundle Adjustment for 3D Reconstruction on the GPU. ECCV Workshops (1) 2010: 423-435 - [c2]Ankit Aggarwal, Anand Louis, Manisha Bansal, Naveen Garg, Neelima Gupta, Shubham Gupta, Surabhi Jain:
A 3-Approximation for Facility Location with Uniform Capacities. IPCO 2010: 149-162 - [c1]Shubham Gupta, Craig A. Knoblock:
Building geospatial mashups to visualize information for crisis management. ISCRAM 2010
2000 – 2009
- 2009
- [j1]Kalyanmoy Deb, Shubham Gupta, David A. Daum, Jürgen Branke, Abhishek Kumar Mall, Dhanesh Padmanabhan:
Reliability-Based Optimization Using Evolutionary Algorithms. IEEE Trans. Evol. Comput. 13(5): 1054-1074 (2009)
Coauthor Index
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