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Shubham Gupta
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2020 – today
- 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) - [c62]Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie:
Clustering Items From Adaptively Collected Inconsistent Feedback. AISTATS 2024: 604-612 - [c61]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 - [c60]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. COMAD/CODS 2024: 54-63 - [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 - [i40]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) - [i39]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives. CoRR abs/2402.09239 (2024) - [i38]Shubham Gupta:
Discrete functional inequalities on lattice graphs. CoRR abs/2403.10270 (2024) - [i37]Shubham Gupta, Mirco Ravanelli, Pascal Germain, Cem Subakan:
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice. CoRR abs/2406.10422 (2024) - [i36]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) - [i35]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) - [i34]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) - 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]