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2020 – today
- 2023
[j64]Arijit Nag
, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
Transfer Learning for Low-Resource Multilingual Relation Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(1): 1-24 (2023)- [j63]Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly:
Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. IEEE Trans. Comput. Soc. Syst. 10(1): 285-296 (2023) - [i63]Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. CoRR abs/2301.05852 (2023) - [i62]Paramita Koley, Aurghya Maiti, Niloy Ganguly, Sourangshu Bhattacharya:
Opponent-aware Role-based Learning in Team Competitive Markov Games. CoRR abs/2301.05873 (2023) - [i61]Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl:
A Review of the Role of Causality in Developing Trustworthy AI Systems. CoRR abs/2302.06975 (2023) - [i60]Avirup Mukherjee, Kousshik Murali, Shivam Kumar Jha, Niloy Ganguly, Rahul Chatterjee, Mainack Mondal:
MASCARA: Systematically Generating Memorable And Secure Passphrases. CoRR abs/2303.09150 (2023) - [i59]Prithwish Jana, Romit Roy Choudhury, Niloy Ganguly:
Reducing Opinion Echo-Chambers by Intelligent Placement of Moderate-Minded Agents. CoRR abs/2304.10745 (2023) - [i58]Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar:
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. CoRR abs/2305.06741 (2023) - 2022
- [j62]Pradumn Kumar Pandey, Bibhas Adhikari, Mainak Mazumdar, Niloy Ganguly:
Modeling Signed Networks as 2-Layer Growing Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3377-3390 (2022) - [j61]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16(2): 8:1-8:34 (2022) - [c189]Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal:
An Application to Generate Style Guided Compatible Outfit. COMAD/CODS 2022: 260-264 - [c188]Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya:
Recommendation of Compatible Outfits Conditioned on Style. ECIR (1) 2022: 35-50 - [c187]Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. EMNLP 2022: 10893-10906 - [c186]Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Winds of Change: Impact of COVID-19 on Vaccine-Related Opinions of Twitter Users. ICWSM 2022: 782-793 - [c185]Ankan Mullick, Sukannya Purkayastha, Pawan Goyal, Niloy Ganguly:
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection. NAACL-HLT (Findings) 2022: 282-292 - [c184]Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. SIGIR 2022: 3154-3164 - [c183]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM 2022: 755-763 - [c182]Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
A Generative Approach for Financial Causality Extraction. WWW (Companion Volume) 2022: 576-578 - [c181]Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal:
FinRED: A Dataset for Relation Extraction in Financial Domain. WWW (Companion Volume) 2022: 595-597 - [c180]Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly:
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. WWW 2022: 2646-2656 - [i57]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Towards Fair Recommendation in Two-Sided Platforms. CoRR abs/2201.01180 (2022) - [i56]Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly:
Offsetting Unequal Competition through RL-assisted Incentive Schemes. CoRR abs/2201.01450 (2022) - [i55]Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya:
Recommendation of Compatible Outfits Conditioned on Style. CoRR abs/2203.16161 (2022) - [i54]Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
A Generative Approach for Financial Causality Extraction. CoRR abs/2204.05674 (2022) - [i53]Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly:
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. CoRR abs/2204.12062 (2022) - [i52]Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. CoRR abs/2204.13746 (2022) - [i51]Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal:
An Application to Generate Style Guided Compatible Outfit. CoRR abs/2205.00663 (2022) - [i50]Ankan Mullick, Sukannya Purkayastha, Pawan Goyal, Niloy Ganguly:
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection. CoRR abs/2205.02005 (2022) - [i49]Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. CoRR abs/2210.12467 (2022) - [i48]Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly:
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. CoRR abs/2212.12594 (2022) - [i47]Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly:
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR abs/2212.13897 (2022) - 2021
- [j60]Surjya Ghosh, Niloy Ganguly, Bivas Mitra, Pradipta De:
Designing an Experience Sampling Method for Smartphone Based Emotion Detection. IEEE Trans. Affect. Comput. 12(4): 913-927 (2021) - [j59]Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. ACM Trans. Knowl. Discov. Data 15(6): 99:1-99:25 (2021) - [j58]Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly:
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis, and Recommendation. ACM Trans. Web 15(2): 9:1-9:25 (2021) - [c179]Bidisha Samanta, Mohit Agrawal, Niloy Ganguly:
A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow. ACL/IJCNLP (1) 2021: 2405-2415 - [c178]Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly:
Knowledge-Aware Neural Networks for Medical Forum Question Classification. CIKM 2021: 3398-3402 - [c177]Avirup Mukherjee, Madhumita Mallick, Sandip Chakraborty, Niloy Ganguly:
Unsupervised Topology Assessment in Smart Homes. COMAD/CODS 2021: 193-197 - [c176]Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification. CoNLL 2021: 575-587 - [c175]Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly:
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. EMNLP (Findings) 2021: 4600-4609 - [c174]Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya:
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. ICCV 2021: 6321-6330 - [c173]Ayush Kaushal, Avirup Saha, Niloy Ganguly:
tWT-WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets. NAACL-HLT 2021: 3879-3889 - [c172]Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. SIGIR 2021: 2303-2307 - [c171]Shreyas Sheshadri, Avirup Saha, Priyank Patel, Samik Datta, Niloy Ganguly:
Graph-based semi-supervised learning through the lens of safety. UAI 2021: 1576-1586 - [i46]Rajkumar Pujari, Swara Desai, Niloy Ganguly, Pawan Goyal:
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles. CoRR abs/2101.09743 (2021) - [i45]Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR abs/2102.05954 (2021) - [i44]Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra:
A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. CoRR abs/2102.08661 (2021) - [i43]Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya:
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. CoRR abs/2103.13021 (2021) - [i42]Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. CoRR abs/2105.03983 (2021) - [i41]Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly:
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. CoRR abs/2109.05897 (2021) - [i40]Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly:
Knowledge-Aware Neural Networks for Medical Forum Question Classification. CoRR abs/2109.13141 (2021) - [i39]Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification. CoRR abs/2110.09570 (2021) - [i38]Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users. CoRR abs/2111.10667 (2021) - [i37]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. CoRR abs/2112.05798 (2021) - 2020
- [j57]Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez:
NEVAE: A Deep Generative Model for Molecular Graphs. J. Mach. Learn. Res. 21: 114:1-114:33 (2020) - [j56]Sandipan Sikdar, Paras Tehria, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics. Int. J. Digit. Libr. 21(2): 93-107 (2020) - [j55]Soumi Das, Sayan Mandal, Ashwin Bhoyar, Madhumita Bharde, Niloy Ganguly, Suparna Bhattacharya, Sourangshu Bhattacharya:
Multi-criteria online frame-subset selection for autonomous vehicle videos. Pattern Recognit. Lett. 133: 349-355 (2020) - [j54]Rohit Verma, Aviral Shrivastava, Kingshuk De, Bivas Mitra, Sujoy Saha, Niloy Ganguly, Subrata Nandi, Sandip Chakraborty:
A Smartphone-Based Passenger Assistant for Public Bus Commute in Developing Countries. IEEE Trans. Comput. Soc. Syst. 7(2): 465-476 (2020) - [j53]Debopriyo Banerjee, Krothapalli Sreenivasa Rao, Shamik Sural, Niloy Ganguly:
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping. ACM Trans. Intell. Syst. Technol. 11(6): 69:1-69:28 (2020) - [c170]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. AAAI 2020: 181-188 - [c169]Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression under Human Assistance. AAAI 2020: 2611-2620 - [c168]Avirup Saha, Niloy Ganguly:
A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information. CIKM 2020: 1335-1344 - [c167]Abhirut Gupta, Sandipan Sikdar, Prateeti Mohapatra, Niloy Ganguly:
Topic Influence Graph Based Analysis of Seminal Papers. COMAD/CODS 2020: 224-228 - [c166]Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel:
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model. IJCAI 2020: 1345-1351 - [c165]Madhumita Mallick, Niloy Ganguly, Suparna Bhattacharya:
GradeSense: Gradation Aware Storage for Robust Activity Recognition in a Multimodal Smarthome. MDM 2020: 119-124 - [c164]Abhijit Mondal, Basabdatta Palit, Somesh Khandelia, Nibir Pal, Jay Jayatheerthan, Krishna Paul, Niloy Ganguly, Sandip Chakraborty:
EnDASH - A Mobility Adapted Energy Efficient ABR Video Streaming for Cellular Networks. Networking 2020: 127-135 - [c163]Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly:
Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. RecSys 2020: 358-367 - [c162]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. SIGIR 2020: 1825-1828 - [c161]T. Y. S. S. Santosh, Avirup Saha, Niloy Ganguly:
MVL: Multi-View Learning for News Recommendation. SIGIR 2020: 1873-1876 - [c160]Madhumita Mallick, Archan Misra, Niloy Ganguly, Youngki Lee:
DETECTIF : Unified Detection & Correction of IoT Faults in Smart Homes. WoWMoM 2020: 78-87 - [c159]Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. WWW 2020: 1194-1204 - [i36]Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR abs/2002.10764 (2020) - [i35]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. CoRR abs/2006.04660 (2020) - [i34]Bidisha Samanta, Mohit Agarwal, Niloy Ganguly:
Fine-grained Sentiment Controlled Text Generation. CoRR abs/2006.09891 (2020) - [i33]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction. CoRR abs/2010.14624 (2020) - [i32]Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly:
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation. CoRR abs/2011.09754 (2020)
2010 – 2019
- 2019
- [j52]Niloy Ganguly, Ponnurangam Kumaraguru:
The positive and negative effects of social media in India. Commun. ACM 62(11): 98-99 (2019) - [j51]Surjya Ghosh, Kaustubh Hiware, Niloy Ganguly, Bivas Mitra, Pradipta De:
Emotion detection from touch interactions during text entry on smartphones. Int. J. Hum. Comput. Stud. 130: 47-57 (2019) - [j50]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations. Inf. Retr. J. 22(5): 447-475 (2019) - [j49]Partha Sarathi Paul, Bishakh Chandra Ghosh, Hridoy Sankar Dutta, Kingshuk De, Arka Prava Basu, Prithviraj Pramanik, Sujoy Saha, Sandip Chakraborty, Niloy Ganguly, Subrata Nandi:
CRIMP: Here crisis mapping goes offline. J. Netw. Comput. Appl. 146 (2019) - [j48]Abhijnan Chakraborty, Niloy Ganguly:
Online Social Networks to Foster Long-Term Welfare. GetMobile Mob. Comput. Commun. 23(2): 5-8 (2019) - [j47]Koustav Rudra, Ashish Sharma, Kalika Bali, Monojit Choudhury, Niloy Ganguly:
Identifying and Analyzing Different Aspects of English-Hindi Code-Switching in Twitter. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(3): 29:1-29:28 (2019) - [j46]Rajesh Basak, Shamik Sural, Niloy Ganguly, Soumya K. Ghosh:
Online Public Shaming on Twitter: Detection, Analysis, and Mitigation. IEEE Trans. Comput. Soc. Syst. 6(2): 208-220 (2019) - [j45]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Trans. Comput. Soc. Syst. 6(4): 680-691 (2019) - [j44]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach. IEEE Trans. Comput. Soc. Syst. 6(5): 981-993 (2019) - [j43]Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra:
A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. IEEE Trans. Comput. Soc. Syst. 6(6): 1232-1244 (2019) - [j42]Madhumita Mallick, Palanivel A. Kodeswaran, Sayandeep Sen, Ravi Kokku, Niloy Ganguly:
TSFS: An Integrated Approach for Event Segmentation and ADL Detection in IoT Enabled Smarthomes. IEEE Trans. Mob. Comput. 18(11): 2686-2700 (2019) - [j41]Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web 13(3): 16:1-16:33 (2019) - [c158]Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez:
NeVAE: A Deep Generative Model for Molecular Graphs. AAAI 2019: 1110-1117 - [c157]Surjya Ghosh, Shivam Goenka, Niloy Ganguly, Bivas Mitra, Pradipta De:
Representation Learning for Emotion Recognition from Smartphone Keyboard Interactions. ACII 2019: 704-710 - [c156]Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti:
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text. ACL (1) 2019: 3528-3537 - [c155]Ashish Sharma, Koustav Rudra, Niloy Ganguly:
Going Beyond Content Richness: Verified Information Aware Summarization of Crisis-Related Microblogs. CIKM 2019: 921-930 - [c154]Pradumn Kumar Pandey, Sourangshu Bhattacharya, Niloy Ganguly:
Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction. COMAD/CODS 2019: 10-17 - [c153]Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani, Neville Dubash:
Identifying Multi-dimensional Information from Microblogs During Epidemics. COMAD/CODS 2019: 224-230 - [c152]Surjya Ghosh, Sumit Sahu, Niloy Ganguly, Bivas Mitra, Pradipta De:
EmoKey: An Emotion-aware Smartphone Keyboard for Mental Health Monitoring. COMSNETS 2019: 496-499 - [c151]Soumyadeep Roy, Koustav Rudra, Nikhil Agrawal, Shamik Sural, Niloy Ganguly:
Towards an Aspect-Based Ranking Model for Clinical Trial Search. CSoNet 2019: 209-222 - [c150]Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal:
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs. EMNLP/IJCNLP (1) 2019: 6091-6096 - [c149]Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau:
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. FAT 2019: 129-138 - [c148]Soumajit Pramanik, Surya Teja Gora, Ravi Sundaram, Niloy Ganguly, Bivas Mitra:
On the Migration of Researchers across Scientific Domains. ICWSM 2019: 381-392 - [c147]Moumita Sinha, Jennifer Healey, Faran Ahmad, Varun Gupta, Niloy Ganguly:
Persuasion: What Jane Austin Would Have Written. AffComp@IJCAI 2019: 36-43 - [c146]Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti:
A Deep Generative Model for Code Switched Text. IJCAI 2019: 5175-5181 - [c145]Avirup Saha, Niloy Ganguly, Sandip Chakraborty, Abir De:
Learning Network Traffic Dynamics Using Temporal Point Process. INFOCOM 2019: 1927-1935 - [c144]Surjya Ghosh, Kaustubh Hiware, Niloy Ganguly, Bivas Mitra, Pradipta De:
Does emotion influence the use of auto-suggest during smartphone typing? IUI 2019: 144-149 - [c143]Santosh Tokala, Vishal G, Avirup Saha, Niloy Ganguly:
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification. NAACL-HLT (1) 2019: 2218-2222 - [c142]Soumyadeep Roy, Niloy Ganguly, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan:
Understanding Brand Consistency from Web Content. WebSci 2019: 245-253 - [c141]Satadal Sengupta, Niloy Ganguly, Pradipta De, Sandip Chakraborty:
Exploiting Diversity in Android TLS Implementations for Mobile App Traffic Classification. WWW 2019: 1657-1668 - [i31]Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti:
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text. CoRR abs/1906.05725 (2019) - [i30]Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti:
A Deep Generative Model for Code-Switched Text. CoRR abs/1906.08972 (2019) - [i29]Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal:
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs. CoRR abs/1909.00160 (2019) - [i28]Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression Under Human Assistance. CoRR abs/1909.02963 (2019) - [i27]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. CoRR abs/1909.10005 (2019) - [i26]Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar, Akhil Kandregula, Kalpam Suhaas, Sourangshu Bhattacharya, Niloy Ganguly:
Map Enhanced Route Travel Time Prediction using Deep Neural Networks. CoRR abs/1911.02623 (2019) - 2018
- [j40]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran:
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