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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
- 2024
[j56]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)- 2023
- [j55]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) - [j54]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) - [j53]Shubham Gupta, Suman Kundu:
Interaction graph, topical communities, and efficient local event detection from social streams. Expert Syst. Appl. 232: 120890 (2023) - [j52]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) - [j51]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) - [j50]Shubham Gupta, Rong Su:
Diversity-enhanced modified sine cosine algorithm and its application in solving engineering design problems. J. Comput. Sci. 72: 102105 (2023) - [j49]Shubham Gupta, Rong Su:
Multiple individual guided differential evolution with time varying and feedback information-based control parameters. Knowl. Based Syst. 259: 110091 (2023) - [j48]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) - [j47]Shubham Gupta, Vinod Kumar Yadav, Madhusudan Singh:
Measuring Influence of Indices in DN Planning. IEEE Syst. J. 17(3): 4149-4152 (2023) - [c49]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [c48]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701 - [i31]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) - [i30]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR abs/2306.03447 (2023) - [i29]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur:
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR abs/2306.03480 (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) - [c47]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI 2022: 6819-6828 - [c46]George N. Rouskas, Shubham Gupta, Priya Sharma:
Experimental Evaluation of a Symmetry-Free Parallel Algorithm for Spectrum Allocation. GLOBECOM 2022: 3682-3687 - [c45]George N. Rouskas, Priya Sharma, Shubham Gupta:
Parameterized First Fit (PFF): Eliminating Symmetry in Spectrum Allocation. GLOBECOM 2022: 3688-3693 - [c44]Aadirupa Saha, Shubham Gupta:
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits. ICML 2022: 19027-19049 - [c43]Remy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta:
Differentiable Rule Induction with Learned Relational Features. NeSy 2022: 30-44 - [c42]Shubham Gupta, Ambedkar Dukkipati:
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions. NeurIPS 2022 - [c41]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) - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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) - [c35]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 - [c34]Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. AAMAS 2020: 1858-1860 - [c33]Shubham Gupta, Ambedkar Dukkipati:
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. AAMAS 2020: 1861-1863 - [c32]Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. IEEE BigData 2020: 4646-4650 - [c31]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 - [c30]Shubham Gupta, Sneha Chokshi:
Digital Marketing Effectiveness Using Incrementality. ICACDS 2020: 66-75 - [c29]Shubham Gupta, Anshuman Gupta, Parth Savjani, Rahul Kumar:
Optimizing Creative Allocations in Digital Marketing. ICACDS 2020: 419-429 - [c28]Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP 2020: 3807-3811 - [c27]Rishabh Kaushal, Shubham Gupta, Ponnurangam Kumaraguru:
Investigation of biases in identity linkage DataSets. SAC 2020: 1861-1868 - [c26]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 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) - [c25]Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati:
A Generative Model for Dynamic Networks with Applications. AAAI 2019: 7842-7849 - [c24]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 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) - [c23]Kuntal Dey, Hemank Lamba, Seema Nagar, Shubham Gupta, Saroj Kaushik:
Modeling Topical Information Diffusion over Microblog Networks. COMPLEX NETWORKS (1) 2018: 353-364 - [c22]Shubham Gupta, Balu L. Parne, Narendra S. Chaudhari:
An efficient handover AKA protocol for wireless network using Chameleon Hash function. RAIT 2018: 1-7 - [c21]Balu L. Parne, Shubham Gupta, Narendra S. Chaudhari:
SEACE: Security enhanced and computationally efficient AKA protocol for UMTS networks. RAIT 2018: 1-7 - [c20]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
- [c19]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 - [c18]Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati:
Attentive Recurrent Comparators. ICML 2017: 3173-3181 - [c17]Shubham Gupta, Kusum Deep:
Improved Grey Wolf Optimizer Based on Opposition-Based Learning. SocProS (2) 2017: 327-338 - [c16]