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ORCIDSriparna Saha 0001
Person information
- affiliation: Indian Institute of Technology Patna, India
- affiliation (PhD 2011): Indian Statistical Institute Kolkata, India
- not to be confused with: Sriparna Saha 0002
Other persons with the same name
- Sriparna Saha — disambiguation page
- Sriparna Saha 0002
![[0000-0002-7312-2450]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7312-2450")
— Maulana Abul Kalam Azad University of Technology, Department of Computer Science & Engineering, Kolkata, India (and 1 more)
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2020 – today
- 2024
[j190]Sarmistha Das, Ujjwal Chowdhury, Lijin N. S, Atulya Deep, Sriparna Saha, Alka Maurya:
Investigate How Market Behaves: Toward an Explanatory Multitasking Based Analytical Model for Financial Investments. IEEE Access 12: 30928-30940 (2024)- [j189]Kanchan Jha, Sriparna Saha, Pratik Dutta:
Incorporation of gene ontology in identification of protein interactions from biomedical corpus: a multi-modal approach. Ann. Oper. Res. 339(3): 1793-1811 (2024) - [j188]Susmita Palmal, Nikhilanand Arya, Sriparna Saha, Somanath Tripathy:
Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest. Appl. Soft Comput. 154: 111379 (2024) - [j187]Abhisek Tiwari, Swarna S, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses. Cogn. Comput. 16(5): 2222-2240 (2024) - [j186]Pranab Sahoo, Sriparna Saha, Saksham Kumar Sharma, Samrat Mondal, Suraj Gowda:
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique. Expert Syst. Appl. 238(Part B): 121724 (2024) - [j185]Apoorva Singh, Siddarth Chandrasekar, Tanmay Sen, Sriparna Saha:
Federated Multitask Learning for Complaint Identification Using Graph Attention Network. IEEE Trans. Artif. Intell. 5(3): 1277-1286 (2024) - [j184]Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Amit Kumar Singh:
Genre Effect Toward Developing a Multi-Modal Movie Recommendation System in Indian Setting. IEEE Trans. Consumer Electron. 70(1): 2517-2526 (2024) - [j183]Apoorva Singh, Rohan Bhatia, Sriparna Saha:
Complaint and Severity Identification From Online Financial Content. IEEE Trans. Comput. Soc. Syst. 11(1): 660-670 (2024) - [j182]Krishanu Maity, Tanmay Sen, Sriparna Saha, Pushpak Bhattacharyya:
MTBullyGNN: A Graph Neural Network-Based Multitask Framework for Cyberbullying Detection. IEEE Trans. Comput. Soc. Syst. 11(1): 849-858 (2024) - [j181]Dipanjyoti Paul, Daipayan Chakder, Sriparna Saha, Jimson Mathew:
Online Research Topic Modeling and Recommendation Utilizing Multiview Autoencoder-Based Approach. IEEE Trans. Comput. Soc. Syst. 11(1): 1013-1022 (2024) - [j180]Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha:
Explainable Cyberbullying Detection in Hinglish: A Generative Approach. IEEE Trans. Comput. Soc. Syst. 11(3): 3338-3347 (2024) - [j179]Sarmistha Das, Apoorva Singh, Sriparna Saha, Alka Maurya:
Negative Review or Complaint? Exploring Interpretability in Financial Complaints. IEEE Trans. Comput. Soc. Syst. 11(3): 3606-3615 (2024) - [j178]Dipanjyoti Paul, Shivani Rana, Sriparna Saha, Jimson Mathew:
Online Summarization of Microblog Data: An Aid in Handling Disaster Situations. IEEE Trans. Comput. Soc. Syst. 11(3): 4029-4039 (2024) - [j177]Krishanu Maity, A. S. Poornash, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa:
HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language. IEEE Trans. Comput. Soc. Syst. 11(5): 5714-5727 (2024) - [j176]Apoorva Singh, Prince Jha, Souryadip Das, Raghav Jain, Sriparna Saha:
Toward Multimodal Complaint Severity Detection From Social Media. IEEE Trans. Comput. Soc. Syst. 11(5): 5903-5912 (2024) - [c266]Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha:
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. AAAI 2024: 22031-22039 - [c265]Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya:
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. ACL (1) 2024: 8084-8104 - [c264]Krishanu Maity, Poornash Sangeetha, Sriparna Saha, Pushpak Bhattacharyya:
ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos. ACL (Findings) 2024: 11130-11142 - [c263]Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Aman Chadha, Samrat Mondal:
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development. ACL (Findings) 2024: 11214-11226 - [c262]Akash Ghosh, Mohit Tomar, Abhisek Tiwari, Sriparna Saha, Jatin Salve, Setu Sinha:
From Sights to Insights: Towards Summarization of Multimodal Clinical Documents. ACL (1) 2024: 13117-13129 - [c261]Krishanu Maity, A. S. Poornash, Sriparna Saha, Kitsuchart Pasupa:
ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos. CIKM 2024: 3937-3942 - [c260]Mohit Singh Tomar, Tulika Saha, Abhisek Tiwari, Sriparna Saha:
Action and Reaction Go Hand in Hand! a Multi-modal Dialogue Act Aided Sarcasm Identification. LREC/COLING 2024: 298-309 - [c259]Abhisek Tiwari, Shreyangshu Bera, Preeti Verma, Jaithra Varma Manthena, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Seeing Is Believing! towards Knowledge-Infused Multi-modal Medical Dialogue Generation. LREC/COLING 2024: 14513-14523 - [c258]Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya:
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. EACL (1) 2024: 930-943 - [c257]Akash Ghosh, Arkadeep Acharya, Prince Jha, Sriparna Saha, Aniket Gaudgaul, Rajdeep Majumdar, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal:
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries. ECIR (5) 2024: 106-120 - [c256]Abhisek Tiwari, Shreyangshu Bera, Sriparna Saha, Pushpak Bhattacharyya, Samrat Ghosh:
Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation. ECIR (3) 2024: 210-225 - [c255]Mohit Tomar, Abhisek Tiwari, Tulika Saha, Prince Jha, Sriparna Saha:
An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant. ECIR (2) 2024: 318-332 - [c254]Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha:
HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues. EMNLP (Findings) 2024: 11546-11560 - [c253]Pranab Sahoo, Prabhash Meharia, Akash Ghosh, Sriparna Saha, Vinija Jain, Aman Chadha:
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models. EMNLP (Findings) 2024: 11709-11724 - [c252]Raghvendra Kumar, Deepak Prakash, Sriparna Saha, Shubham Sharma:
IndicBART Alongside Visual Element: Multimodal Summarization in Diverse Indian Languages. ICDAR (6) 2024: 264-280 - [c251]Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal:
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging. MICCAI (3) 2024: 640-649 - [c250]Rishikesh Devanathan, Apoorva Singh, A. S. Poornash, Sriparna Saha:
Seeing Beyond Words: Multimodal Aspect-Level Complaint Detection in Ecommerce Videos. ACM Multimedia 2024: 243-252 - [c249]Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function. ECML/PKDD (8) 2024: 342-360 - [c248]Subham Raj, Pawan Agrawal, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar:
Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges. SAC 2024: 910-918 - [c247]Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta:
Timeline Summarization in the Era of LLMs. SIGIR 2024: 2657-2661 - [c246]Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar:
Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis. WWW (Companion Volume) 2024: 947-950 - [i38]Akash Ghosh, Arkadeep Acharya, Prince Jha, Aniket Gaudgaul, Rajdeep Majumdar, Sriparna Saha, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal:
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries. CoRR abs/2401.01596 (2024) - [i37]Abhisek Tiwari, Shreyangshu Bera, Sriparna Saha, Pushpak Bhattacharyya, Samrat Ghosh:
Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation. CoRR abs/2401.05134 (2024) - [i36]Mohit Tomar, Abhisek Tiwari, Tulika Saha, Prince Jha, Sriparna Saha:
An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant. CoRR abs/2401.06807 (2024) - [i35]Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya:
Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation. CoRR abs/2401.09023 (2024) - [i34]Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya:
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. CoRR abs/2401.09899 (2024) - [i33]Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Vinija Jain, Samrat Mondal, Aman Chadha:
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications. CoRR abs/2402.07927 (2024) - [i32]Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Vinija Jain, Aman Chadha:
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions. CoRR abs/2404.07214 (2024) - [i31]Pranab Sahoo, Prabhash Meharia, Akash Ghosh, Sriparna Saha, Vinija Jain, Aman Chadha:
Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey. CoRR abs/2405.09589 (2024) - [i30]Mohit Tomar, Abhisek Tiwari, Sriparna Saha:
Towards Knowledge-Infused Automated Disease Diagnosis Assistant. CoRR abs/2405.11181 (2024) - [i29]Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Aman Chadha, Samrat Mondal:
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development. CoRR abs/2405.15766 (2024) - [i28]Krishanu Maity, A. S. Poornash, Sriparna Saha, Pushpak Bhattacharyya:
ToxVidLLM: A Multimodal LLM-based Framework for Toxicity Detection in Code-Mixed Videos. CoRR abs/2405.20628 (2024) - [i27]Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya:
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. CoRR abs/2406.05344 (2024) - [i26]Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal:
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging. CoRR abs/2407.05800 (2024) - [i25]Anisha Saha, Abhisek Tiwari, Bokkasam Venkata Sai Ruthvik, Sriparna Saha:
Two eyes, Two views, and finally, One summary! Towards Multi-modal Multi-tasking Knowledge-Infused Medical Dialogue Summarization. CoRR abs/2407.15237 (2024) - 2023
- [j175]Krishanu Maity, Shaubhik Bhattacharya, Sriparna Saha, Manjeevan Seera:
A Deep Learning Framework for the Detection of Malay Hate Speech. IEEE Access 11: 79542-79552 (2023) - [j174]Pranab Sahoo, Sriparna Saha, Samrat Mondal, Manjeevan Seera, Saksham Kumar Sharma, Manish Kumar:
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion. IEEE Access 11: 145281-145294 (2023) - [j173]Naveen Saini, Saichethan Miriyala Reddy, Sriparna Saha, José G. Moreno, Antoine Doucet:
Multi-view multi-objective clustering-based framework for scientific document summarization using citation context. Appl. Intell. 53(14): 18002-18026 (2023) - [j172]Anubhav Jangra, Sourajit Mukherjee, Adam Jatowt, Sriparna Saha, Mohammad Hasanuzzaman:
A Survey on Multi-modal Summarization. ACM Comput. Surv. 55(13s): 296:1-296:36 (2023) - [j171]Abhisek Tiwari, Abhijeet Khandwe, Sriparna Saha, Roshni R. Ramnani, Anutosh Maitra, Shubhashis Sengupta:
Towards personalized persuasive dialogue generation for adversarial task oriented dialogue setting. Expert Syst. Appl. 213(Part): 118775 (2023) - [j170]Apoorva Singh, Sriparna Saha:
GraphIC: A graph-based approach for identifying complaints from code-mixed product reviews. Expert Syst. Appl. 216: 119444 (2023) - [j169]Dipanjyoti Paul, Snigdha Bardhan, Sriparna Saha, Jimson Mathew:
ML-KnockoffGAN: Deep online feature selection for multi-label learning. Knowl. Based Syst. 271: 110548 (2023) - [j168]Sayanta Paul, Sriparna Saha, Jyoti Prakash Singh:
COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic. Multim. Tools Appl. 82(6): 8773-8789 (2023) - [j167]Susmita Palmal, Sriparna Saha, Somanath Tripathy:
Multi-objective optimization with majority voting ensemble of classifiers for prediction of HIV-1 protease cleavage site. Soft Comput. 27(17): 12211-12221 (2023) - [j166]Abhisek Tiwari, Rishav Raj, Sriparna Saha, Pushpak Bhattacharyya, Sarbajeet Tiwari, Minakshi Dhar:
Toward Symptom Assessment Guided Symptom Investigation and Disease Diagnosis. IEEE Trans. Artif. Intell. 4(6): 1752-1766 (2023) - [j165]Santosh Kumar Mishra, Harshit, Sriparna Saha, Pushpak Bhattacharyya:
An Object Localization-based Dense Image Captioning Framework in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 33:1-33:15 (2023) - [j164]Santosh Kumar Mishra, Sushant Sinha, Sriparna Saha, Pushpak Bhattacharyya:
Dynamic Convolution-based Encoder-Decoder Framework for Image Captioning in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 112:1-112:18 (2023) - [j163]Santosh Kumar Mishra, Soham Chakraborty, Sriparna Saha, Pushpak Bhattacharyya:
GAGPT-2: A Geometric Attention-based GPT-2 Framework for Image Captioning in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(10): 241:1-241:16 (2023) - [j162]Kanchan Jha, Sriparna Saha:
Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 162-173 (2023) - [j161]Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha:
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1372-1383 (2023) - [j160]Kanchan Jha, Sriparna Saha, Sourav Karmakar:
Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3215-3225 (2023) - [j159]Chanchal Suman, Rohit Chaudhari, Sriparna Saha, Sudhir Kumar, Pushpak Bhattacharyya:
Investigations in Emotion Aware Multimodal Gender Prediction Systems From Social Media Data. IEEE Trans. Comput. Soc. Syst. 10(2): 470-479 (2023) - [j158]Tulika Saha, Saichethan Miriyala Reddy, Sriparna Saha, Pushpak Bhattacharyya:
Mental Health Disorder Identification From Motivational Conversations. IEEE Trans. Comput. Soc. Syst. 10(3): 1130-1139 (2023) - [j157]Krishanu Maity, Sriparna Saha, Pushpak Bhattacharyya:
Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish. IEEE Trans. Comput. Soc. Syst. 10(5): 2411-2420 (2023) - [j156]Dipanjyoti Paul, Daipayan Chakder, Sriparna Saha, Jimson Mathew:
Multiview Deep Online Clustering: An Application to Online Research Topic Modeling and Recommendations. IEEE Trans. Comput. Soc. Syst. 10(5): 2566-2578 (2023) - [j155]Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya:
An Attention-Based Multimodal Siamese Architecture for Tweet-User Verification. IEEE Trans. Comput. Soc. Syst. 10(5): 2764-2772 (2023) - [j154]Pramit Biswas, Md Shahbaz Akhtar, Sriparna Saha, Sudhan Majhi, Aneek Adhya:
Q-Learning-Based Energy-Efficient Network Planning in IP-Over-EON. IEEE Trans. Netw. Serv. Manag. 20(1): 3-13 (2023) - [c245]Apoorva Singh, Raghav Jain, Prince Jha, Sriparna Saha:
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection. ACL (1) 2023: 7333-7347 - [c244]A. S. Poornash, Atharva Deshmukh, Archit Sharma, Sriparna Saha:
APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection. BioNLP@ACL 2023: 579-585 - [c243]Raghvendra Kumar, Ratul Chakraborty, Abhishek Tiwari, Sriparna Saha, Naveen Saini:
Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity. CIKM 2023: 1117-1126 - [c242]Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha:
Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. CIKM 2023: 2291-2300 - [c241]Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar:
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. CIKM 2023: 2452-2461 - [c240]Tulika Saha, Debasis Ganguly, Sriparna Saha, Prasenjit Mitra:
Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT). CIKM 2023: 5290-5293 - [c239]Yash Verma, Anubhav Jangra, Raghvendra Verma, Sriparna Saha:
Large Scale Multi-Lingual Multi-Modal Summarization Dataset. EACL 2023: 3602-3614 - [c238]Raghav Jain, Tulika Saha, Sriparna Saha:
T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection. ECAI 2023: 1132-1139 - [c237]Abhisek Tiwari, Aman Bhansali, Sriparna Saha, Pushpak Bhattacharyya, Preeti Verma, Minakshi Dhar:
Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering. ECAI 2023: 2354-2361 - [c236]Apoorva Singh, Vivek Kumar Gangwar, Shubham Sharma, Sriparna Saha:
Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection. ECIR (2) 2023: 125-140 - [c235]Apoorva Singh, Prince Jha, Rohan Bhatia, Sriparna Saha:
What Is Your Cause for Concern? Towards Interpretable Complaint Cause Analysis. ECIR (2) 2023: 141-155 - [c234]Tulika Saha, Abhishek Tiwari, Sriparna Saha:
Trends and Overview: The Potential of Conversational Agents in Digital Health. ECIR (3) 2023: 349-356 - [c233]Vishal Singh Roha, Naveen Saini, Sriparna Saha, José G. Moreno:
MOO-CMDS+NER: Named Entity Recognition-Based Extractive Comment-Oriented Multi-document Summarization. ECIR (2) 2023: 580-588 - [c232]Nikhilanand Arya, Kwanit Gupta, Sriparna Saha:
SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework. EMBC 2023: 1-4 - [c231]Vishal Singh Roha, Nagarajan Ganapathy, Nicolai Spicher, Sriparna Saha, Thomas M. Deserno:
Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning. EMBC 2023: 1-4 - [c230]Raghav Jain, Tulika Saha, Jhagrut Lalwani, Sriparna Saha:
Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization. EMNLP (Findings) 2023: 3158-3173 - [c229]Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat:
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models. EMNLP 2023: 6750-6774 - [c228]Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha, Tanmay Sen:
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. EMNLP 2023: 16091-16103 - [c227]Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya:
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection. EMNLP 2023: 16632-16645 - [c226]Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya:
"Explain Thyself Bully": Sentiment Aided Cyberbullying Detection with Explanation. ICDAR (3) 2023: 132-148 - [c225]Raghvendra Kumar, Ritika Sinha, Sriparna Saha, Adam Jatowt:
Multimodal Rumour Detection: Catching News that Never Transpired! ICDAR (3) 2023: 231-248 - [c224]Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa:
HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai. ICONIP (15) 2023: 204-215 - [c223]Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Naoyuki Onoe, Brijraj Singh:
Impulsion of Movie's Content-Based Factors in Multi-modal Movie Recommendation System. ICONIP (15) 2023: 230-242 - [c222]Pranab Sahoo, Saksham Kumar Sharma, Sriparna Saha, Samrat Mondal:
A Federated Multi-stage Light-Weight Vision Transformer for Respiratory Disease Detection. ICONIP (10) 2023: 300-311 - [c221]Krishanu Maity, Gokulapriyan Balaji, Sriparna Saha:
Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection. ICONIP (6) 2023: 317-328 - [c220]Anindya Sundar Das, Aravind Ajay, Sriparna Saha, Monowar H. Bhuyan:
Few-Shot Anomaly Detection in Text with Deviation Learning. ICONIP (2) 2023: 425-438 - [c219]Susmita Palmal, Sriparna Saha, Somanath Tripathy:
Integrating Multi-view Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction. ICONIP (10) 2023: 480-492 - [c218]Apoorva Singh, Raghav Jain, Sriparna Saha:
Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework. IJCNLP (1) 2023: 241-251 - [c217]Aritra Raut, Sriparna Saha, Anutosh Maitra, Roshni R. Ramnani:
Sentiment Aided Graph Attentive Contextualization for Task Oriented Negotiation Dialogue Generation. IJCNLP (1) 2023: 661-674 - [c216]Sarmistha Das, Tuhinangshu Gangopadhyay, Atulya Deep, Sriparna Saha, Alka Maurya:
"Find the Table": A Contrastive Learning-based Approach with Faster RCNN for Establishing Tabular Entity Relationships. IJCNN 2023: 1-8 - [c215]Raghav Jain, Krishanu Maity, Prince Jha, Sriparna Saha:
Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes? IJCNN 2023: 1-8 - [c214]Sourajit Mukherjee, Adam Jatowt, Raghvendra Kumar, Anubhav Jangra, Sriparna Saha:
Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries? IJCNN 2023: 1-8 - [c213]Subham Raj, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Naoyuki Onoe:
A Multi-modal Multi-task based Approach for Movie Recommendation. IJCNN 2023: 1-8 - [c212]Pawan Agrawal, Subham Raj, Sriparna Saha, Naoyuki Onoe:
A Meta-learning Based Generative Model with Graph Attention Network for Multi-Modal Recommender Systems. INNS DLIA@IJCNN 2023: 581-590 - [c211]Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Naoyuki Onoe:
Task-Specific and Graph Convolutional Network based Multi-modal Movie Recommendation System in Indian Setting. INNS DLIA@IJCNN 2023: 591-600 - [c210]Mohit Tomar, Abhisek Tiwari, Tulika Saha, Sriparna Saha:
Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection. ACM Multimedia 2023: 3926-3933 - [c209]Raghav Jain, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection. ACM Multimedia 2023: 8571-8579 - [c208]Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya:
Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. PAKDD (3) 2023: 58-69 - [c207]Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion. ECML/PKDD (6) 2023: 88-104 - [c206]Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa:
Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai. ECML/PKDD (6) 2023: 139-156 - [c205]Prabir Mondal, Daipayan Chakder, Subham Raj, Sriparna Saha, Naoyuki Onoe:
Graph Convolutional Neural Network for Multimodal Movie Recommendation. SAC 2023: 1633-1640 - [i24]Yash Verma, Anubhav Jangra, Raghvendra Kumar, Sriparna Saha:
Large Scale Multi-Lingual Multi-Modal Summarization Dataset. CoRR abs/2302.06560 (2023) - [i23]Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric. CoRR abs/2309.05804 (2023) - [i22]Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar:
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. CoRR abs/2309.15739 (2023) - [i21]Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha:
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. CoRR abs/2312.11541 (2023) - 2022
- [j153]Santosh Kumar Mishra, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Scientific document summarization in multi-objective clustering framework. Appl. Intell. 52(2): 1520-1543 (2022) - [j152]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Microblog summarization using self-adaptive multi-objective binary differential evolution. Appl. Intell. 52(2): 1686-1702 (2022) - [j151]Abhisek Tiwari, Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya, Shemim Begum, Minakshi Dhar, Sarbajeet Tiwari:
Symptoms are known by their companies: towards association guided disease diagnosis assistant. BMC Bioinform. 23(1): 556 (2022) - [j150]Apoorva Singh, Sriparna Saha, Md. Hasanuzzaman, Kuntal Dey:
Multitask Learning for Complaint Identification and Sentiment Analysis. Cogn. Comput. 14(1): 212-227 (2022) - [j149]Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Towards Sentiment-Aware Multi-Modal Dialogue Policy Learning. Cogn. Comput. 14(1): 246-260 (2022) - [j148]Abhisek Tiwari, Tulika Saha, Sriparna Saha, Shubhashis Sengupta, Anutosh Maitra, Roshni R. Ramnani, Pushpak Bhattacharyya:
A persona aware persuasive dialogue policy for dynamic and co-operative goal setting. Expert Syst. Appl. 195: 116303 (2022) - [j147]Amit Kumar, Ajay Pratap, Anil Kumar Singh, Sriparna Saha:
Addressing domain shift in neural machine translation via reinforcement learning. Expert Syst. Appl. 201: 117039 (2022) - [j146]Kanchan Jha, Sriparna Saha, Muhammad Tanveer:
Prediction of protein-protein interactions using stacked auto-encoder. Trans. Emerg. Telecommun. Technol. 33(10) (2022) - [j145]Krishanu Maity, Abhishek Kumar, Sriparna Saha:
A Multitask Multimodal Framework for Sentiment and Emotion-Aided Cyberbullying Detection. IEEE Internet Comput. 26(4): 68-78 (2022) - [j144]Chanchal Suman, Sriparna Saha, Aditya Gupta, Saurabh Kumar Pandey, Pushpak Bhattacharyya:
A multi-modal personality prediction system. Knowl. Based Syst. 236: 107715 (2022) - [j143]Abhisek Tiwari, Sriparna Saha, Pushpak Bhattacharyya:
A knowledge infused context driven dialogue agent for disease diagnosis using hierarchical reinforcement learning. Knowl. Based Syst. 242: 108292 (2022) - [j142]Sayanta Paul, Sriparna Saha:
CyberBERT: BERT for cyberbullying identification. Multim. Syst. 28(6): 1897-1904 (2022) - [j141]Sayanta Paul, Sriparna Saha, Mohammed Hasanuzzaman:
Identification of cyberbullying: A deep learning based multimodal approach. Multim. Tools Appl. 81(19): 26989-27008 (2022) - [j140]Chanchal Suman, Rohit Shyamkant Chaudhary, Sriparna Saha, Pushpak Bhattacharyya:
An attention based multi-modal gender identification system for social media users. Multim. Tools Appl. 81(19): 27033-27055 (2022) - [j139]Santosh Kumar Mishra, Gaurav Rai, Sriparna Saha, Pushpak Bhattacharyya:
Efficient Channel Attention Based Encoder-Decoder Approach for Image Captioning in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 49:1-49:17 (2022) - [j138]Nikhilanand Arya, Sriparna Saha:
Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1032-1041 (2022) - [j137]Shweta Yadav, Srivatsa Ramesh Jayashree, Sriparna Saha, Asif Ekbal:
Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1105-1116 (2022) - [j136]Nikhilanand Arya, Sriparna Saha:
Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2252-2263 (2022) - [j135]Pratik Dutta, Aditya Prakash Patra, Sriparna Saha:
DeePROG: Deep Attention-Based Model for Diseased Gene Prognosis by Fusing Multi-Omics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2770-2781 (2022) - [j134]Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri:
LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3553-3563 (2022) - [j133]Tulika Saha, Apoorva Upadhyaya, Sriparna Saha, Pushpak Bhattacharyya:
A Multitask Multimodal Ensemble Model for Sentiment- and Emotion-Aided Tweet Act Classification. IEEE Trans. Comput. Soc. Syst. 9(2): 508-517 (2022) - [j132]Chanchal Suman, Ayush Raj, Sriparna Saha, Pushpak Bhattacharyya:
Authorship Attribution of Microtext Using Capsule Networks. IEEE Trans. Comput. Soc. Syst. 9(4): 1038-1047 (2022) - [j131]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya, Shubhankar Mrinal, Santosh Kumar Mishra:
On Multimodal Microblog Summarization. IEEE Trans. Comput. Soc. Syst. 9(5): 1317-1329 (2022) - [j130]Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha:
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 329-340 (2022) - [j129]Srivatsa Ramesh Jayashree, Gaël Dias, Judith Jeyafreeda Andrew, Sriparna Saha, Fabrice Maurel, Stéphane Ferrari:
Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering. ACM Trans. Inf. Syst. 40(3): 59:1-59:49 (2022) - [c204]Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha:
Sentiment and Emotion-Aware Multi-Modal Complaint Identification. AAAI 2022: 12163-12171 - [c203]Pranab Sahoo, Sriparna Saha, Samrat Mondal, Suraj Gowda:
Vision Transformer Based COVID-19 Detection Using Chest CT-scan images. BHI 2022: 1-4 - [c202]Abhisek Tiwari, Manisimha Manthena, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant. CIKM 2022: 1935-1944 - [c201]Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha:
WIDAR - Weighted Input Document Augmented ROUGE. ECIR (1) 2022: 304-321 - [c200]Apoorva Singh, Arousha Nazir, Sriparna Saha:
Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm Aided Complaint Detection. ECIR (1) 2022: 428-442 - [c199]Vishal Singh Roha, Naveen Saini, Sriparna Saha, José G. Moreno:
Unsupervised framework for comment-based multi-document extractive summarization. GECCO 2022: 574-582 - [c198]Santosh Kumar Mishra, Harshavardhan Kundarapu, Sayantan Mitra, Sriparna Saha, Pushpak Bhattacharyya:
Bug report summarization using multi-view multi-objective optimization framework. GECCO 2022: 1245-1253 - [c197]Sowmya Rasipuram, Anutosh Maitra, Bishal Shaw, Sriparna Saha:
Towards Generating Contextual and Empathetic Response for Covid-related Queries. GHTC 2022: 137-142 - [c196]Sandhya Singh, Kushagra Shree, Sriparna Saha, Pushpak Bhattacharyya, Gladvin Chinnadurai, Manish Kumar Vatsa:
Verb Phrase Anaphora: Do(ing) so with Heuristics. ICON 2022: 92-98 - [c195]Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda:
Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray. ICONIP (7) 2022: 77-88 - [c194]Dibyendu Das, Nikhilanand Arya, Sriparna Saha:
Efficient-Nets and Their Fuzzy Ensemble: An Approach for Skin Cancer Classification. ICONIP (7) 2022: 151-162 - [c193]Susmita Palmal, Nikhilanand Arya, Sriparna Saha, Somanath Tripathy:
A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis. ICONIP (7) 2022: 187-198 - [c192]Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya:
Emotion-Aided Multi-modal Personality Prediction System. ICONIP (6) 2022: 289-301 - [c191]Rahul Kumar, Sriparna Saha:
Decoding Brain Signals with Meta-learning. ICONIP (5) 2022: 303-314 - [c190]Krishanu Maity, Shaubhik Bhattacharya, Sriparna Saha, Suwika Janoai, Kitsuchart Pasupa:
FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language. ICONIP (2) 2022: 425-437 - [c189]Aritra Raut, Subrata Das, Abhisek Tiwari, Sriparna Saha, Anutosh Maitra, Roshni R. Ramnani, Shubhashis Sengupta:
Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent. ICONIP (3) 2022: 543-555 - [c188]Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya:
Authorship Attribution of Scientific Abstracts. ICPR 2022: 1522-1528 - [c187]Bishal Shaw, Sriparna Saha, Santosh Kumar Mishra, Angshuman Ghosh:
Investigations in Psychological Stress Detection from Social Media Text using Deep Architectures. ICPR 2022: 1614-1620 - [c186]Krishanu Maity, Sriparna Saha, Pushpak Bhattacharyya:
Cyberbullying Detection in Code-Mixed Languages: Dataset and Techniques. ICPR 2022: 1692-1698 - [c185]Ashutosh Kumar Trivedi, Abhishek Tiwari, Sriparna Saha, Anutosh Maitra, Roshni R. Ramnani, Shubhashis Sengupta:
Towards Sentiment and Emotion aided Intent Detection. ICPR 2022: 2510-2516 - [c184]Pranab Sahoo, Sriparna Saha, Samrat Mondal, Nelson Sharma:
COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique. ICPR 2022: 5170-5176 - [c183]Sourajit Mukherjee, Anubhav Jangra, Sriparna Saha, Adam Jatowt:
Topic-aware Multimodal Summarization. AACL/IJCNLP (Findings) 2022: 387-398 - [c182]Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya:
Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification. AACL/IJCNLP (1) 2022: 978-990 - [c181]Abhisek Tiwari, Sriparna Saha, Shubhashis Sengupta, Anutosh Maitra, Roshni R. Ramnani, Pushpak Bhattacharyya:
Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant. AACL/IJCNLP (1) 2022: 1035-1047 - [c180]Raghav Jain, Tulika Saha, Souhitya Chakraborty, Sriparna Saha:
Domain Infused Conversational Response Generation for Tutoring based Virtual Agent. IJCNN 2022: 1-8 - [c179]Susmita Palmal, Sriparna Saha, Somanath Tripathy:
HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers. IJCNN 2022: 1-8 - [c178]Sriram Pingali, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Angshuman Ghosh:
Towards Developing a Multi-Modal Video Recommendation System. IJCNN 2022: 1-8 - [c177]Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda:
Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique. IJCNN 2022: 1-8 - [c176]Chanchal Suman, Abhishek Singh, Sriparna Saha, Pushpak Bhattacharyya:
Development of Multi-task Models for Emotion-Aware Gender Prediction. IJCNN 2022: 1-8 - [c175]Sowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra, Bishal Shaw, Sriparna Saha:
Multimodal Depression Detection Using Task-oriented Transformer-based Embedding. ISCC 2022: 1-4 - [c174]Yash Verma, Anubhav Jangra, Sriparna Saha, Adam Jatowt, Dwaipayan Roy:
MAKED: Multi-lingual Automatic Keyword Extraction Dataset. LREC 2022: 6170-6179 - [c173]Muskan Garg, Chandni Saxena, Sriparna Saha, Veena Krishnan, Ruchi Joshi, Vijay Mago:
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts. LREC 2022: 6387-6396 - [c172]Prince Jha, Gaël Dias, Alexis Lechervy, José G. Moreno, Anubhav Jangra, Sebastião Pais, Sriparna Saha:
Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations. ACM Multimedia 2022: 4406-4415 - [c171]Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya:
Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. NAACL-HLT 2022: 1485-1495 - [c170]Tulika Saha, Saichethan Miriyala Reddy, Anindya Sundar Das, Sriparna Saha, Pushpak Bhattacharyya:
A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony. NAACL-HLT 2022: 2436-2449 - [c169]Santosh Kumar Mishra, Sushant Sinha, Sriparna Saha, Pushpak Bhattacharyya:
A Deep Learning based Framework for Image Paragraph Generation in Hindi. PACLIC 2022: 792-800 - [c168]Krishanu Maity, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya:
A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes. SIGIR 2022: 1739-1749 - [c167]Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty, Sriparna Saha:
Towards Motivational and Empathetic Response Generation in Online Mental Health Support. SIGIR 2022: 2650-2656 - [c166]Daipayan Chakder, Prabir Mondal, Subham Raj, Sriparna Saha, Angshuman Ghosh, Naoyuki Onoe:
Graph Network based Approaches for Multi-modal Movie Recommendation System. SMC 2022: 409-414 - [i20]Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha:
WIDAR - Weighted Input Document Augmented ROUGE. CoRR abs/2201.09282 (2022) - [i19]Muskan Garg, Chandni Saxena, Veena Krishnan, Ruchi Joshi, Sriparna Saha, Vijay Mago, Bonnie J. Dorr:
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts. CoRR abs/2207.04674 (2022) - [i18]Raghav Jain, Anubhav Jangra, Sriparna Saha, Adam Jatowt:
A Survey on Medical Document Summarization. CoRR abs/2212.01669 (2022) - 2021
- [j128]Diksha Bansal, Naveen Saini, Sriparna Saha:
DCBRTS: A Classification-Summarization Approach for Evolving Tweet Streams in Multiobjective Optimization Framework. IEEE Access 9: 148325-148338 (2021) - [j127]Kanchan Jha, Sriparna Saha:
Incorporation of multimodal multiobjective optimization in designing a filter based feature selection technique. Appl. Soft Comput. 98: 106823 (2021) - [j126]Rohit Salgotra, Mohamed Abouhawwash, Urvinder Singh, Sriparna Saha, Nitin Mittal, Shubham Mahajan, Amit Kant Pandit:
Multi-population and dynamic-iterative cuckoo search algorithm for linear antenna array synthesis. Appl. Soft Comput. 113(Part): 108004 (2021) - [j125]Santosh Kumar Mishra, Rijul Dhir, Sriparna Saha, Pushpak Bhattacharyya, Amit Kumar Singh:
Image captioning in Hindi language using transformer networks. Comput. Electr. Eng. 92: 107114 (2021) - [j124]Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya, Rohit Shyamkant Chaudhari:
Emoji Helps! A Multi-modal Siamese Architecture for Tweet User Verification. Cogn. Comput. 13(2): 261-276 (2021) - [j123]Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya:
Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework. Cogn. Comput. 13(2): 277-289 (2021) - [j122]Chanchal Suman, Saichethan Miriyala Reddy, Sriparna Saha, Pushpak Bhattacharyya:
Why pay more? A simple and efficient named entity recognition system for tweets. Expert Syst. Appl. 167: 114101 (2021) - [j121]Naveen Saini, Diksha Bansal, Sriparna Saha, Pushpak Bhattacharyya:
Multi-objective multi-view based search result clustering using differential evolution framework. Expert Syst. Appl. 168: 114299 (2021) - [j120]Apoorva Singh, Sriparna Saha, Mohammed Hasanuzzaman, Anubhav Jangra:
Identifying complaints based on semi-supervised mincuts. Expert Syst. Appl. 186: 115668 (2021) - [j119]Nikhilanand Arya, Sriparna Saha:
Multi-modal advanced deep learning architectures for breast cancer survival prediction. Knowl. Based Syst. 221: 106965 (2021) - [j118]Dipanjyoti Paul, Anushree Jain, Sriparna Saha, Jimson Mathew:
Multi-objective PSO based online feature selection for multi-label classification. Knowl. Based Syst. 222: 106966 (2021) - [j117]Pratik Dutta, Sriparna Saha, Sukanya Naskar:
A multi-objective based PSO approach for inferring pathway activity utilizing protein interactions. Multim. Tools Appl. 80(20): 30283-30303 (2021) - [j116]Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya:
A hierarchical approach for efficient multi-intent dialogue policy learning. Multim. Tools Appl. 80(28-29): 35025-35050 (2021) - [j115]Dipanjyoti Paul, Sriparna Saha, Abhishek Kumar, Jimson Mathew:
Evolutionary multi-objective optimization based overlapping subspace clustering. Pattern Recognit. Lett. 145: 208-215 (2021) - [j114]Rohit Salgotra, Urvinder Singh, Sriparna Saha, Amir H. Gandomi:
Self adaptive cuckoo search: Analysis and experimentation. Swarm Evol. Comput. 60: 100751 (2021) - [j113]Santosh Kumar Mishra, Rijul Dhir, Sriparna Saha, Pushpak Bhattacharyya:
A Hindi Image Caption Generation Framework Using Deep Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(2): 32:1-32:19 (2021) - [j112]Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya:
A Unified Dialogue Management Strategy for Multi-intent Dialogue Conversations in Multiple Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 99:1-99:22 (2021) - [j111]Chanchal Suman, Anugunj Naman, Sriparna Saha, Pushpak Bhattacharyya:
A Multimodal Author Profiling System for Tweets. IEEE Trans. Comput. Soc. Syst. 8(6): 1407-1416 (2021) - [j110]Swagarika Jaharlal Giri, Pratik Dutta, Parth Halani, Sriparna Saha:
MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction Information. IEEE J. Biomed. Health Informatics 25(5): 1832-1838 (2021) - [j109]Dipanjyoti Paul, Rahul Kumar, Sriparna Saha, Jimson Mathew:
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset. ACM Trans. Knowl. Discov. Data 15(6): 93:1-93:24 (2021) - [c165]Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha:
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction. ACL/IJCNLP (Findings) 2021: 3741-3747 - [c164]Krishanu Maity, Abhishek Kumar, Sriparna Saha:
Attention Based BERT-FastText Model for Hate Speech and Offensive Content Identification in English and Hindi Languages. FIRE (Working Notes) 2021: 182-190 - [c163]Apoorva Singh, Tanmay Sen, Sriparna Saha, Mohammed Hasanuzzaman:
Federated Multi-task Learning for Complaint Identification from Social Media Data. HT 2021: 201-210 - [c162]Apoorva Singh, Sriparna Saha:
Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion, and Sentiment Classification. ICDAR (2) 2021: 715-731 - [c161]Santosh Kumar Mishra, Sriparna Saha, Pushpak Bhattacharyya:
A Scaled Encoder Decoder Network for Image Captioning in Hindi. ICON 2021: 251-260 - [c160]Santosh Kumar Mishra, Darsh Kaushik, Sriparna Saha, Pushpak Bhattacharyya:
Wikipedia Current Events Summarization using Particle Swarm Optimization. ICON 2021: 447-455 - [c159]Rahul Kumar, Sriparna Saha:
A Multi-task Learning Scheme for Motor Imagery Signal Classification. ICONIP (3) 2021: 311-322 - [c158]Anindya Sundar Das, Sriparna Saha:
Self-supervised Image-to-Text and Text-to-Image Synthesis. ICONIP (4) 2021: 415-426 - [c157]Krishanu Maity, Sriparna Saha:
A Multi-task Model for Sentiment Aided Cyberbullying Detection in Code-Mixed Indian Languages. ICONIP (4) 2021: 440-451 - [c156]Neeti Priya, Abhisek Tiwari, Sriparna Saha:
Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-Shot Intent Detection Approach. ICONIP (3) 2021: 582-595 - [c155]Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha:
A Particle Swarm Optimization Based Feature Selection Approach for Multi-source Visual Domain Adaptation. ICONIP (5) 2021: 701-709 - [c154]Kanchan Jha, Sriparna Saha, Snehanshu Saha:
Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. IJCNN 2021: 1-8 - [c153]Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya:
Global Object Proposals for Improving Multi-Sentence Video Descriptions. IJCNN 2021: 1-7 - [c152]Nishchal Prasad, Sriparna Saha, Pushpak Bhattacharyya:
A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention. IJCNN 2021: 1-8 - [c151]Syed Arbaaz Qureshi, Gaël Dias, Sriparna Saha, Mohammed Hasanuzzaman:
Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting. IJCNN 2021: 1-8 - [c150]Saichethan Miriyala Reddy, Swati Agarwal, Sriparna Saha:
Generating Diverse Extended Summaries of Scientific Articles. IJCNN 2021: 1-8 - [c149]Tulika Saha, Saraansh Chopra, Sriparna Saha, Pushpak Bhattacharyya, Pankaj Kumar:
A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health. IJCNN 2021: 1-8 - [c148]Tulika Saha, Neeti Priya, Sriparna Saha, Pushpak Bhattacharyya:
A Transformer based Multi-task Model for Domain Classification, Intent Detection and Slot-Filling. IJCNN 2021: 1-8 - [c147]Chanchal Suman, Rohit Chaudhari, Sriparna Saha, Sudhir Kumar, Pushpak Bhattacharyya:
An Emotion-aided Gender Prediction System. IJCNN 2021: 1-8 - [c146]Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha:
Multi-source based approach for Visual Domain Adaptation. IJCNN 2021: 1-7 - [c145]Abhisek Tiwari, Tulika Saha, Sriparna Saha, Shubhashis Sengupta, Anutosh Maitra, Roshni R. Ramnani, Pushpak Bhattacharyya:
Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting. IJCNN 2021: 1-8 - [c144]Tulika Saha, Apoorva Upadhyaya, Sriparna Saha, Pushpak Bhattacharyya:
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter. NAACL-HLT 2021: 5727-5737 - [c143]Krishanu Maity, Sriparna Saha:
BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages. NLDB 2021: 147-155 - [c142]Chanchal Suman, Rohit Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Authorship Attribution Using Capsule-Based Fusion Approach. NLDB 2021: 289-300 - [c141]Santosh Kumar Mishra, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Let's Summarize Scientific Documents! A Clustering-Based Approach via Citation Context. NLDB 2021: 330-339 - [c140]Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammed Hasanuzzaman:
Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization. SIGIR 2021: 818-828 - [c139]Diksha Bansal, Rahul Grover, Sriparna Saha:
A Multi-view Multiobjective Partitioning Technique for Search Results Clustering. SMC 2021: 758-763 - [c138]Pratik Dutta, Nupur Shah, Sriparna Saha:
A Multi-Objective Optimization-based Clustering Approach for CORD-19 Scholarly Articles. SMC 2021: 1393-1398 - [c137]Anuj Shastri, Naveen Saini, Sriparna Saha, Santosh Kumar Mishra:
MEABRS: A Multi-objective Evolutionary Framework for Software Bug Report Summarization. SMC 2021: 2006-2011 - [c136]Karanjit Gill, Sriparna Saha, Santosh Kumar Mishra:
Dense Image Captioning in Hindi. SMC 2021: 2894-2899 - [c135]Santosh Kumar Mishra, Mahesh Babu Peethala, Sriparna Saha, Pushpak Bhattacharyya:
An Information Multiplexed Encoder-Decoder Network for Image Captioning in Hindi. SMC 2021: 3019-3024 - [c134]Rohit Salgotra, Supreet Singh, Urvinder Singh, Sriparna Saha, Amir H. Gandomi:
Hybridizing Cuckoo Search with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites. SSCI 2021: 1-8 - [i17]Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya:
Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. CoRR abs/2102.00781 (2021) - [i16]Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya:
Semantic Extractor-Paraphraser based Abstractive Summarization. CoRR abs/2105.01296 (2021) - [i15]Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha:
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction. CoRR abs/2107.00596 (2021) - [i14]Anubhav Jangra, Adam Jatowt, Sriparna Saha, Mohammad Hasanuzzaman:
A Survey on Multi-modal Summarization. CoRR abs/2109.05199 (2021) - [i13]Pramit Biswas, Md Shahbaz Akhtar, Aneek Adhya, Sriparna Saha, Sudhan Majhi:
Q-Learning Based Energy-Efficient Network Planning in IP-over-EON. CoRR abs/2111.10658 (2021) - [i12]Manas Jain, Sriparna Saha, Pushpak Bhattacharyya, Gladvin Chinnadurai, Manish Kumar Vatsa:
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction. CoRR abs/2112.03849 (2021) - [i11]Anindya Sundar Das, Sriparna Saha:
Self-Supervised Image-to-Text and Text-to-Image Synthesis. CoRR abs/2112.04928 (2021) - 2020
- [j108]Naveen Saini, Sriparna Saha, Chirag Soni, Pushpak Bhattacharyya:
Automatic evolution of bi-clusters from microarray data using self-organized multi-objective evolutionary algorithm. Appl. Intell. 50(4): 1027-1044 (2020) - [j107]Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha, Piyush Tripathi:
Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework. Appl. Intell. 50(10): 3071-3089 (2020) - [j106]Raunak Sengupta, Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay:
Uniform distribution driven adaptive differential evolution. Appl. Intell. 50(11): 3638-3659 (2020) - [j105]Pratik Dutta, Piyush Mishra, Sriparna Saha:
Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine. Comput. Biol. Medicine 125: 103965 (2020) - [j104]Syed Arbaaz Qureshi, Gaël Dias, Mohammed Hasanuzzaman, Sriparna Saha:
Improving Depression Level Estimation by Concurrently Learning Emotion Intensity. IEEE Comput. Intell. Mag. 15(3): 47-59 (2020) - [j103]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Improved subspace clustering algorithm using multi-objective framework and subspace optimization. Expert Syst. Appl. 158: 113487 (2020) - [j102]Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya:
Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning. Expert Syst. Appl. 162: 113650 (2020) - [j101]Abhay Kumar Alok, Pooja Gupta, Sriparna Saha, Vineet Sharma:
Simultaneous feature selection and clustering of micro-array and RNA-sequence gene expression data using multiobjective optimization. Int. J. Mach. Learn. Cybern. 11(11): 2541-2563 (2020) - [j100]Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew:
Semi-supervised orthogonal discriminant analysis with relative distance : integration with a MOO approach. Soft Comput. 24(3): 1599-1618 (2020) - [j99]Naveen Saini, Sriparna Saha, Sahil Mansoori, Pushpak Bhattacharyya:
Fusion of self-organizing map and granular self-organizing map for microblog summarization. Soft Comput. 24(24): 18699-18711 (2020) - [j98]Rakesh Kumar Sanodiya, Mrinalini Tiwari, Jimson Mathew, Sriparna Saha, Subhajyoti Saha:
A particle swarm optimization-based feature selection for unsupervised transfer learning. Soft Comput. 24(24): 18713-18731 (2020) - [j97]Sudipta Acharya, Sriparna Saha, Prasanna Pradhan:
Multi-Factored Gene-Gene Proximity Measures Exploiting Biological Knowledge Extracted from Gene Ontology: Application in Gene Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 207-219 (2020) - [j96]Pratik Dutta, Sriparna Saha, Saraansh Chopra, Varnika Miglani:
Ensembling of Gene Clusters Utilizing Deep Learning and Protein-Protein Interaction Information. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2005-2016 (2020) - [j95]Tulika Saha, Srivatsa Ramesh Jayashree, Sriparna Saha, Pushpak Bhattacharyya:
BERT-Caps: A Transformer-Based Capsule Network for Tweet Act Classification. IEEE Trans. Comput. Soc. Syst. 7(5): 1168-1179 (2020) - [j94]Sayantan Mitra, Sriparna Saha, Mohammed Hasanuzzaman:
A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced Datasets. IEEE J. Biomed. Health Informatics 24(11): 3315-3325 (2020) - [j93]Sayantan Mitra, Mohammed Hasanuzzaman, Sriparna Saha:
A Unified Multi-view Clustering Algorithm Using Multi-objective Optimization Coupled with Generative Model. ACM Trans. Knowl. Discov. Data 14(1): 2:1-2:31 (2020) - [j92]Shweta Yadav, Pralay Ramteke, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Exploring Disorder-Aware Attention for Clinical Event Extraction. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 31:1-31:21 (2020) - [j91]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya, Himanshu Tuteja:
Textual Entailment-Based Figure Summarization for Biomedical Articles. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 35:1-35:24 (2020) - [c133]Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya:
Towards Emotion-aided Multi-modal Dialogue Act Classification. ACL 2020: 4361-4372 - [c132]Pratik Dutta, Sriparna Saha:
Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification. ACL 2020: 6396-6407 - [c131]Swagarika Jaharlal Giri, Sriparna Saha:
Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities. CEC 2020: 1-8 - [c130]Naveen Saini, Sushil Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. CEC 2020: 1-8 - [c129]Rohit Salgotra, Urvinder Singh, Sriparna Saha, Amir H. Gandomi:
Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems. CEC 2020: 1-7 - [c128]Anubhav Jangra, Adam Jatowt, Mohammed Hasanuzzaman, Sriparna Saha:
Text-Image-Video Summary Generation Using Joint Integer Linear Programming. ECIR (2) 2020: 190-198 - [c127]Saichethan Miriyala Reddy, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20. SDP@EMNLP 2020: 242-250 - [c126]Santosh Kumar Mishra, Harshavardhan Kundarapu, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020. SDP@EMNLP 2020: 270-276 - [c125]Saichethan Miriyala Reddy, Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya:
A GRU-based Fake News Prediction System: Working Notes for UrduFake-FIRE 2020. FIRE (Working Notes) 2020: 464-468 - [c124]Chanchal Suman, Ayush Raj, Sriparna Saha, Pushpak Bhattacharyya:
Source Code Authorship Attribution using Stacked classifier. FIRE (Working Notes) 2020: 732-737 - [c123]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal. ICADL 2020: 407-415 - [c122]Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya:
Semantic Extractor-Paraphraser based Abstractive Summarization. ICON 2020: 191-199 - [c121]Chanchal Suman, Aditya Gupta, Sriparna Saha, Pushpak Bhattacharyya:
A Multi-modal Personality Prediction System. ICON 2020: 317-322 - [c120]Chanchal Suman, Jeetu Kumar, Sriparna Saha, Pushpak Bhattacharyya:
D-Coref: A Fast and Lightweight Coreference Resolution Model using DistilBERT. ICON 2020: 323-328 - [c119]Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, Sriparna Saha, Vipin Tyagi, Alka Kumar, Shikha Srivastava, Nitish Kumar:
Annotated Corpus of Tweets in English from Various Domains for Emotion Detection. ICON 2020: 460-469 - [c118]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Online Multi-objective Subspace Clustering for Streaming Data. ICONIP (4) 2020: 95-103 - [c117]Kanchan Jha, Sriparna Saha, Matloob Khushi:
Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation. ICONIP (5) 2020: 164-171 - [c116]Naveen Saini, Sriparna Saha, Sahil Mansoori, Pushpak Bhattacharyya:
Automatic Parameter Selection of Granual Self-organizing Map for Microblog Summarization. ICONIP (1) 2020: 680-692 - [c115]Tulika Saha, Saraansh Chopra, Sriparna Saha, Pushpak Bhattacharyya:
Reinforcement Learning Based Personalized Neural Dialogue Generation. ICONIP (4) 2020: 709-716 - [c114]Naveen Saini, Sushil Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Scientific Document Summarization using Citation Context and Multi-objective Optimization. ICPR 2020: 4290-4295 - [c113]Sayantan Mitra, Sriparna Saha:
A Multi-task Multi-view based Multi-objective Clustering Algorithm. ICPR 2020: 4720-4727 - [c112]Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Assessing the Severity of Health States based on Social Media Posts. ICPR 2020: 5728-5735 - [c111]Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya:
Improving Diversity and Reducing Redundancy in Paragraph Captions. IJCNN 2020: 1-8 - [c110]Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning. IJCNN 2020: 1-8 - [c109]Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya:
A Transformer based Approach for Identification of Tweet Acts. IJCNN 2020: 1-8 - [c108]Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha:
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. IJCNN 2020: 1-8 - [c107]Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya:
EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media. SemEval@COLING 2020: 1645-1651 - [c106]Sayanta Paul, Sriparna Saha, Mohammed Hasanuzzaman:
CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social Media. SemEval@COLING 2020: 1925-1931 - [c105]Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman:
Multi-Modal Summary Generation using Multi-Objective Optimization. SIGIR 2020: 1745-1748 - [i10]Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha:
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. CoRR abs/2005.08442 (2020) - [i9]Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammed Hasanuzzaman:
Multi-Modal Summary Generation using Multi-Objective Optimization. CoRR abs/2005.09252 (2020) - [i8]Shweta Yadav, Srivatsa Ramesh, Sriparna Saha, Asif Ekbal:
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework. CoRR abs/2009.09509 (2020) - [i7]Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Assessing the Severity of Health States based on Social Media Posts. CoRR abs/2009.09600 (2020)
2010 – 2019
- 2019
- [j90]Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha, Michelle Davies Thalakottur:
A New Transfer Learning Algorithm in Semi-Supervised Setting. IEEE Access 7: 42956-42967 (2019) - [j89]Naveen Saini, Rahul Grover, Sriparna Saha, Pushpak Bhattacharyya:
Scientific Document Clustering using Granular Self-organizing Map. Aust. J. Intell. Inf. Process. Syst. 17(1): 62-70 (2019) - [j88]Naveen Saini, Sriparna Saha, Aditya Harsh, Pushpak Bhattacharyya:
Sophisticated SOM based genetic operators in multi-objective clustering framework. Appl. Intell. 49(5): 1803-1822 (2019) - [j87]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Automatic Scientific Document Clustering Using Self-organized Multi-objective Differential Evolution. Cogn. Comput. 11(2): 271-293 (2019) - [j86]Rijul Dhir, Santosh Kumar Mishra, Sriparna Saha, Pushpak Bhattacharyya:
A Deep Attention based Framework for Image Caption Generation in Hindi Language. Computación y Sistemas 23(3) (2019) - [j85]Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew:
A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach. Expert Syst. Appl. 125: 233-248 (2019) - [j84]Syed Arbaaz Qureshi, Sriparna Saha, Mohammed Hasanuzzaman, Gaël Dias:
Multitask Representation Learning for Multimodal Estimation of Depression Level. IEEE Intell. Syst. 34(5): 45-52 (2019) - [j83]Naveen Saini, Sriparna Saha, Vedavikas Potnuru, Rahul Grover, Pushpak Bhattacharyya:
Figure Summarization: A Multiobjective Optimization-Based Approach. IEEE Intell. Syst. 34(6): 43-52 (2019) - [j82]Gambhire Swati Sampatrao, Sudeepa Roy Dey, Abhishek Bansal, Sriparna Saha:
Analyzing the Common Wisdom of Binarization Doctrine in Internationality Classification of Journals: A Machine Learning Approach. J. Sci. Res. 8(2s): s7-s38 (2019) - [j81]Shweta Yadav, Asif Ekbal, Sriparna Saha:
Information theoretic-PSO-based feature selection: an application in biomedical entity extraction. Knowl. Inf. Syst. 60(3): 1453-1478 (2019) - [j80]Naveen Saini, Sriparna Saha, Anubhav Jangra, Pushpak Bhattacharyya:
Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm. Knowl. Based Syst. 164: 45-67 (2019) - [j79]Shweta Yadav, Asif Ekbal, Sriparna Saha, Ankit Kumar, Pushpak Bhattacharyya:
Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction. Knowl. Based Syst. 166: 18-29 (2019) - [j78]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Fusion of evolvable genome structure and multi-objective optimization for subspace clustering. Pattern Recognit. 95: 58-71 (2019) - [j77]Sriparna Saha, Mandeep Kaur:
Identification of topology-preserving, class-relevant feature subsets using multiobjective optimization. Soft Comput. 23(13): 4717-4733 (2019) - [j76]Sudipta Acharya, Sriparna Saha, Pracheta Sahoo:
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework. Soft Comput. 23(14): 5693-5714 (2019) - [j75]Sumit Mishra, Sriparna Saha, Samrat Mondal, Carlos A. Coello Coello:
A divide-and-conquer based efficient non-dominated sorting approach. Swarm Evol. Comput. 44: 748-773 (2019) - [j74]Raunak Sengupta, Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay:
NAEMO: Neighborhood-sensitive archived evolutionary many-objective optimization algorithm. Swarm Evol. Comput. 46: 201-218 (2019) - [j73]Sumit Mishra, Sriparna Saha, Samrat Mondal, Carlos A. Coello Coello:
Divide-and-conquer based non-dominated sorting with Reduced Comparisons. Swarm Evol. Comput. 51 (2019) - [j72]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Multiobjective-Based Approach for Microblog Summarization. IEEE Trans. Comput. Soc. Syst. 6(6): 1219-1231 (2019) - [j71]Pratik Dutta, Sriparna Saha, Saurabh Gulati:
Graph-Based Hub Gene Selection Technique Using Protein Interaction Information: Application to Sample Classification. IEEE J. Biomed. Health Informatics 23(6): 2670-2676 (2019) - [c104]Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining. ACL (1) 2019: 5234-5245 - [c103]Dipanjyoti Paul, Rahul Kumar, Sriparna Saha, Jimson Mathew:
Online feature selection for multi-label classification in multi-objective optimization framework. ASONAM 2019: 530-531 - [c102]Kalyanbrata Maity, Raunak Sengupta, Sriparna Saha:
MM-NAEMO : Multimodal Neighborhood-sensitive Archived Evolutionary Many-objective Optimization Algorithm. CEC 2019: 286-294 - [c101]Pratik Dutta, Sriparna Saha:
A Weak Supervision Technique with a Generative Model for Improved Gene Clustering. CEC 2019: 2521-2528 - [c100]Sriparna Saha, Debanjan Sarkar, Stefan Kramer:
Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles. CEC 2019: 2753-2760 - [c99]Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Michelle Davies Thalakottur, Utkarshinee Aadya:
Multi-objective Approach for Semi-Supervised Discriminant Analysis with Relative Distance. CEC 2019: 2808-2815 - [c98]Rohit Salgotra, Urvinder Singh, Sriparna Saha, Atulya Nagar:
New Improved SALSHADE-cnEpSin Algorithm with Adaptive Parameters. CEC 2019: 3150-3156 - [c97]Chanchal Suman, Purushottam Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Gender Age and Dialect Recognition using Tweets in a Deep Learning Framework - Notebook for FIRE 2019. FIRE (Working Notes) 2019: 160-166 - [c96]