Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
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 0002 — Maulana Abul Kalam Azad University of Technology, Department of Computer Science & Engineering, Kolkata, India (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j104]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)- [j103]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) - [j102]Raunak Sengupta, Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay:
Uniform distribution driven adaptive differential evolution. Appl. Intell. 50(11): 3638-3659 (2020) - [j101]Pratik Dutta, Piyush Mishra, Sriparna Saha:
Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine. Comput. Biol. Medicine 125: 103965 (2020) - [j100]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) - [j99]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Improved subspace clustering algorithm using multi-objective framework and subspace optimization. Expert Syst. Appl. 158: 113487 (2020) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [c124]Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya:
Towards Emotion-aided Multi-modal Dialogue Act Classification. ACL 2020: 4361-4372 - [c123]Pratik Dutta, Sriparna Saha:
Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification. ACL 2020: 6396-6407 - [c122]Swagarika Jaharlal Giri, Sriparna Saha:
Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities. CEC 2020: 1-8 - [c121]Naveen Saini, Sushil Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. CEC 2020: 1-8 - [c120]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 - [c119]Anubhav Jangra, Adam Jatowt, Mohammed Hasanuzzaman, Sriparna Saha:
Text-Image-Video Summary Generation Using Joint Integer Linear Programming. ECIR (2) 2020: 190-198 - [c118]Saichethan Reddy, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20. SDP@EMNLP 2020: 242-250 - [c117]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 - [c116]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 - [c115]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Online Multi-objective Subspace Clustering for Streaming Data. ICONIP (4) 2020: 95-103 - [c114]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 - [c113]Naveen Saini, Sriparna Saha, Sahil Mansoori, Pushpak Bhattacharyya:
Automatic Parameter Selection of Granual Self-organizing Map for Microblog Summarization. ICONIP (1) 2020: 680-692 - [c112]Tulika Saha, Saraansh Chopra, Sriparna Saha, Pushpak Bhattacharyya:
Reinforcement Learning Based Personalized Neural Dialogue Generation. ICONIP (4) 2020: 709-716 - [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
- [j88]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) - [j87]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) - [j86]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) - [j85]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Automatic Scientific Document Clustering Using Self-organized Multi-objective Differential Evolution. Cogn. Comput. 11(2): 271-293 (2019) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Fusion of evolvable genome structure and multi-objective optimization for subspace clustering. Pattern Recognit. 95: 58-71 (2019) - [j76]Sriparna Saha, Mandeep Kaur:
Identification of topology-preserving, class-relevant feature subsets using multiobjective optimization. Soft Comput. 23(13): 4717-4733 (2019) - [j75]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) - [j74]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) - [j73]Raunak Sengupta, Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay:
NAEMO: Neighborhood-sensitive archived evolutionary many-objective optimization algorithm. Swarm Evol. Comput. 46: 201-218 (2019) - [j72]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) - [j71]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Multiobjective-Based Approach for Microblog Summarization. IEEE Trans. Comput. Soc. Syst. 6(6): 1219-1231 (2019) - [j70]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]Naveen Saini, Sriparna Saha, Anurag Kumar, Pushpak Bhattacharyya:
Multi-document Summarization Using Adaptive Composite Differential Evolution. ICONIP (5) 2019: 670-678 - [c95]Dipanjyoti Paul, Abhishek Kumar, Sriparna Saha, Jimson Mathew:
Improved Multi-objective Evolutionary Subspace Clustering. ICONIP (1) 2019: 691-703 - [c94]Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. IJCNN 2019: 1-8 - [c93]Tulika Saha, Saurabh Srivastava, Mauajama Firdaus, Sriparna Saha, Asif Ekbal, Pushpak Bhattacharyya:
Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification. IJCNN 2019: 1-8 - [c92]Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions. JCDL 2019: 227-236 - [c91]Tirthankar Ghosal, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Is the Paper Within Scope? Are You Fishing in the Right Pond? JCDL 2019: 237-240 - [c90]Tirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. JCDL 2019: 374-375 - [c89]Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review. JCDL 2019: 392-393 - [c88]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Incorporation of Neighborhood Concept in Enhancing SOM Based Multi-label Classification. PReMI (1) 2019: 91-99 - [c87]Chanchal Suman, Somanath Tripathy, Sriparna Saha:
An Intrusion Detection System Using Unsupervised Feature Selection. TENCON 2019: 19-24 - [c86]Sumit Mishra, Sriparna Saha, Samrat Mondal:
A Many Objective Optimization Based Entity Matching Framework for Bibliographic Database. TENCON 2019: 2054-2058 - [c85]Amika Achom, Ranjita Das, Partha Pakray, Sriparna Saha:
Classification of Microarray Gene Expression Data using Weighted Grey Wolf Optimizer based Fuzzy Clustering. TENCON 2019: 2705-2710 - [i6]Syed Arbaaz Qureshi, Mohammed Hasanuzzaman, Sriparna Saha, Gaël Dias:
The Verbal and Non Verbal Signals of Depression - Combining Acoustics, Text and Visuals for Estimating Depression Level. CoRR abs/1904.07656 (2019) - [i5]Chanchal Suman, Somanath Tripathy, Sriparna Saha:
Building an Effective Intrusion Detection System using Unsupervised Feature Selection in Multi-objective Optimization Framework. CoRR abs/1905.06562 (2019) - 2018
- [j69]Rohit Salgotra, Urvinder Singh, Sriparna Saha:
New cuckoo search algorithms with enhanced exploration and exploitation properties. Expert Syst. Appl. 95: 384-420 (2018) - [j68]Sayantan Mitra, Sriparna Saha, Sudipta Acharya:
Fusion of stability and multi-objective optimization for solving cancer tissue classification problem. Expert Syst. Appl. 113: 377-396 (2018) - [j67]Sumit Mishra, Samrat Mondal, Sriparna Saha:
Towards Obtaining Upper Bound on Sensitivity Computation Process for Cluster Validity Measures. Fundam. Informaticae 163(4): 351-374 (2018) - [j66]Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay:
DECOR: Differential Evolution using Clustering based Objective Reduction for many-objective optimization. Inf. Sci. 423: 200-218 (2018) - [j65]Raunak Sengupta, Sriparna Saha:
Reference point based archived many objective simulated annealing. Inf. Sci. 467: 725-749 (2018) - [j64]Sriparna Saha:
A line symmetry based genetic clustering technique: encoding lines in chromosomes. Int. J. Mach. Learn. Cybern. 9(12): 1963-1986 (2018) - [j63]Sriparna Saha, Ranjita Das:
Exploring differential evolution and particle swarm optimization to develop some symmetry-based automatic clustering techniques: application to gene clustering. Neural Comput. Appl. 30(3): 735-757 (2018) - [j62]Sriparna Saha:
Enhancing point symmetry-based distance for data clustering. Soft Comput. 22(2): 409-436 (2018) - [j61]Sriparna Saha, Ranjita Das, Partha Pakray:
Aggregation of multi-objective fuzzy symmetry-based clustering techniques for improving gene and cancer classification. Soft Comput. 22(18): 5935-5954 (2018) - [j60]Shweta Yadav, Asif Ekbal, Sriparna Saha:
Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach. Soft Comput. 22(20): 6881-6904 (2018) - [j59]Sumit Mishra, Samrat Mondal, Sriparna Saha, Carlos A. Coello Coello:
GBOS: Generalized Best Order Sort algorithm for non-dominated sorting. Swarm Evol. Comput. 43: 244-264 (2018) - [j58]Sriparna Saha, Sudipta Acharya, Kavya K, Saisree Miriyala:
Simultaneous Clustering and Feature Weighting Using Multiobjective Optimization for Identifying Functionally Similar miRNAs. IEEE J. Biomed. Health Informatics 22(5): 1684-1690 (2018) - [j57]Sriparna Saha, Sayantan Mitra, Stefan Kramer:
Exploring Multiobjective Optimization for Multiview Clustering. ACM Trans. Knowl. Discov. Data 12(4): 44:1-44:30 (2018) - [c84]Sumit Mishra, Sriparna Saha, Samrat Mondal:
MBOS: Modified Best Order Sort Algorithm for Performing Non-Dominated Sorting. CEC 2018: 1-8 - [c83]Rohit Salgotra, Urvinder Singh, Sriparna Saha:
Improved Cuckoo Search with Better Search Capabilities for Solving CEC2017 Benchmark Problems. CEC 2018: 1-7 - [c82]Sayantan Mitra, Mohammed Hasanuzzaman, Sriparna Saha, Andy Way:
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering. COLING 2018: 3793-3805 - [c81]Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Multiobjective optimization based subspace clustering using evolvable genome structure. GECCO (Companion) 2018: 167-168 - [c80]Sumit Mishra, Sriparna Saha, Samrat Mondal:
An Approach to Obtain the Upper Bound on the Number of Non-dominated Fronts in a Population. ICACCI 2018: 1947-1951 - [c79]Sumit Mishra, Sriparna Saha, Samrat Mondal:
On Evaluation of Entity Matching Techniques for Bibliographic Database. ICACCI 2018: 2325-2331 - [c78]Pratik Dutta, Sriparna Saha, Agni Besh Chauhan:
Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach. ICONIP (5) 2018: 3-14 - [c77]Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling. ICONIP (1) 2018: 214-225 - [c76]Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Prateek Bangwal:
Semi-supervised Transfer Metric Learning with Relative Constraints. ICONIP (3) 2018: 230-241 - [c75]Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya:
Reinforcement Learning Based Dialogue Management Strategy. ICONIP (3) 2018: 359-372 - [c74]Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Arpita Raj:
Supervised and Semi-supervised Multi-task Binary Classification. ICONIP (4) 2018: 380-391 - [c73]Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew:
A Multi-kernel Semi-supervised Metric Learning Using Multi-objective Optimization Approach. ICONIP (2) 2018: 530-541 - [c72]Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Cascaded SOM: An Improved Technique for Automatic Email Classification. IJCNN 2018: 1-8 - [c71]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Investigating Impact Features in Editorial Pre-Screening of Research Papers. JCDL 2018: 333-334 - [c70]Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System. LREC 2018 - [c69]Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Amit P. Sheth:
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. NAACL-HLT (2) 2018: 271-277 - [c68]Rohit Salgotra, Urvinder Singh, Sriparna Saha, Atulya K. Nagar:
Improved Flower Pollination Algorithm for Linear Antenna Design Problems. SocProS (1) 2018: 79-89 - [i4]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system. CoRR abs/1802.01403 (2018) - [i3]Shweta Yadav, Ankit Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts. CoRR abs/1807.02162 (2018) - [i2]Shweta Yadav, Joy Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Leveraging Medical Sentiment to Understand Patients Health on Social Media. CoRR abs/1807.11172 (2018) - 2017
- [j56]Sumit Mishra, Sriparna Saha, Samrat Mondal:
GAEMTBD: Genetic algorithm based entity matching techniques for bibliographic databases. Appl. Intell. 47(1): 197-230 (2017) - [j55]Sumit Mishra, Samrat Mondal, Sriparna Saha:
Improved solution to the non-domination level update problem. Appl. Soft Comput. 60: 336-362 (2017) - [j54]Pratik Dutta, Sriparna Saha:
Fusion of expression values and protein interaction information using multi-objective optimization for improving gene clustering. Comput. Biol. Medicine 89: 31-43 (2017) - [j53]Sriparna Saha, Sayantan Mitra, Ravi Kant Yadav:
A Stack-based Ensemble Framework for Detecting Cancer MicroRNA Biomarkers. Genom. Proteom. Bioinform. 15(6): 381-388 (2017) - [j52]Abhay Kumar Alok, Sriparna Saha, Asif Ekbal:
Semi-supervised clustering for gene-expression data in multiobjective optimization framework. Int. J. Mach. Learn. Cybern. 8(2): 421-439 (2017) - [c67]Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha, Asif Ekbal:
Temporal Orientation of Tweets for Predicting Income of Users. ACL (2) 2017: 659-665 - [c66]Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection. EACL (1) 2017: 1159-1170 - [c65]Monalisa Pal, Raunak Sengupta, Sanghamitra Bandyopadhyay, Amr Alzouhri Alyafi, Stéphane Ploix, Patrick Reignier, Sriparna Saha:
Analysis of Optimizers to Regulate Occupant's Actions for Building Energy Management. ICAPR 2017: 1-6 - [c64]Naveen Saini, Shubham Chourasia, Sriparna Saha, Pushpak Bhattacharyya:
A Self Organizing Map Based Multi-objective Framework for Automatic Evolution of Clusters. ICONIP (6) 2017: 672-682 - 2016
- [j51]Sriparna Saha, Abhay Kumar Alok, Asif Ekbal:
Brain image segmentation using semi-supervised clustering. Expert Syst. Appl. 52: 50-63 (2016) - [j50]Sumit Mishra, Sriparna Saha, Samrat Mondal:
A multiobjective optimization based entity matching technique for bibliographic databases. Expert Syst. Appl. 65: 100-115 (2016) - [j49]