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Research and Development




Publications in Journals


2021

Diksha B., Rahul Grover, NAVEEN SAINIand Sriparna Saha, GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling. IEEE Transactions on Affective Computing (impact factor 10.506).

K. Gupta, R. Haque, A. Ekbal, P. Bhattacharyya and A.Way (2021), Augmenting Training Data with Syntactic Phrasal-Segments in Low-Resource Neural Machine Translation. Machine Translation Journal, Springer.

S. Kamila, M. Hasanuzzaman, A. Ekbal and P. Bhattacharyya (2021), Investigating the Impact of Emotion on Temporal Orientation in a Deep Multitask Setting. Scientific Reports.

D. Bansal, N. Saini, S. Saha (2021), DCBRTS: A Classification-Summarization Approachfor Evolving Tweet Streams in Multiobjective Optimization Framework. IEEE Access(h5-index: 164).

S. Paul, S. Saha, and J. P. Singh (2021), COVID-19 and Cyberbullying: Deep EnsembleModels for Code-switched Languages to Identify Cyberbullying during the Pandemic. Multimedia Tools and Applications(impact factor: 2.757).

T. Prashanth, S. Saha, S. Basarkod, S. Aralihalli, S. S. Dhavala, S. Saha , R. Aduri (2021), LipGene: Lipschitz continuity guided adaptive learning rates for fast convergence on Microarray Expression Data Sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

S. Mishra, G. Rai, S. Saha , P. Bhattacharyya (2021), Efficient Channel Attention based Encoder-Decoder Approach for Image Captioning in Hindi. ACM Transactions on Asian and Low-Resource Language Information Processing.

N. Saini, S. Saha, P. Bhattacharyya, S. Mrinal, S. Mishra (2021), On Multi-modal Microblog Summarization. IEEE Transactions on Computational Social Systems.

Srivatsa R J, G. Dias, J. J. Andrew, S. Saha , F. MAUREL, S. FERRARI (2021), Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering. ACM Transactions on Information Systems (impact factor: 2.312).

A. Singh, S. Saha, M. Hasanuzzaman (2021), Identifying Complaints based on Semi-Supervised Mincuts. Expert Systems with Applications journal (impact factor: 6.954) (accepted).

C. Suman, R. Shyamkant Chaudhary, S. Saha, P. Bhattacharyya (2021), An Attention based Multi-Modal Gender Identification System for Social Media Users. Multimedia Tools and Applications (impact factor: 2.313) (accepted).

R. Kumari, Nischal A, T. Ghosal and A. Ekbal. (2022), What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion. Information Processing and Management (IPM), Elsevier   Paper

S. Ghosh, A. Ekbal, P. Bhattacharyya (2021), What Does Your Bio Say? Inferring Twitter Users' Depression Status From Multimodal Profile Information Using Deep Learning. IEEE Transactions on Computational Social Systems   Paper

P. Dutta, A. Prakash Patra, S. Saha (2021), DeePROG: Deep Attention-based Model for Diseased Gene Prognosis by Fusing Multi-omics Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 2.428) (accepted).

N. Arya, S. Saha (2021), Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP. IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 2.428) (accepted).

T. Saha, A. Upadhyaya, S. Saha, P. Bhattacharyya (2021), A Multi-task Multi-modal Ensemble Model for Sentiment and Emotion aided Tweet Act Classification. IEEE Transactions on Computational Social Systems (accepted).

C. Suman, A. Naman, S. Saha, P. Bhattacharyya (2021), A Multimodal Author Profiling System for Tweets. IEEE Transactions on Computational Social Systems (accepted).

N. Saini, S. Saha (2021), Multi-objective Optimization Techniques: A Survey of the State-of-the-Art and Applications. European Physical Journal Special Topics (impact factor: 1.668) (accepted).

R. Mahapatra, S. Saha, Carlos A. Coello Coello, A. Bhattacharya, Soma S. Dhavala, S. Saha (2021) AdaSwarm: Augmenting gradient-based optimizers in Deep Learning with Swarm Intelligence. IEEE Transactions on Emerging Topics in Computational Intelligence (impact factor: 4.62) (accepted).

R. Kumari, Nischal A, T. Ghosal and A. Ekbal. Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition. Information Processing and Management (IPM), Elsevier (IF-4.784, Core-A)   Paper      Code

T. Saha, D. Gupta, S. Saha, P. Bhattacharyya (2021). A Unified Dialogue Management Strategy for Multi-Intent Dialogue Conversations in Multiple Languages. ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).

S. Mishra, N. Saini, S. Saha , P. Bhattacharyya (2021). Scientific Document Summarization in Multi-objective Clustering Framework. Applied Intelligence (impact factor: 3.325) (accepted).

A. Tiwari, T. Saha, S. Saha, S. Sengupta, A. Maitra, R. Ramnani, P. Bhattacharyya (2021). A Dynamic Goal Adapted Task-Oriented Dialogue Agent. Plos One (h5 index: 175, impact factor: 2.74) (accepted).

C. Suman, A. Raj, S. Saha, P. Bhattacharyya (2021). Authorship Attribution of Micro-text using Capsule Networks. IEEE Transactions on Computational Social Systems (accepted).

N. Arya, S. Saha (2021). Multi-Modal Advanced Deep Learning Architectures for Breast Cancer Survival Prediction. Knowledge-Based Systems (impact factor: 5.921) (accepted).

D. Paul, A. Jain, S. Saha, J. Mathew (2021). Multi-objective PSO based Online Feature Selection for Multi-label Classification. Knowledge-Based Systems (impact factor: 5.921) (accepted).

D. Paul, S. Saha, A. Kumar, J. Mathew (2021). Evolutionary Multi-objective Optimization-based Overlapping Subspace Clustering. Pattern Recognition Letters (impact factor: 3.255) (accepted).

K. Jha, S. Saha, M. Tanveer (2021). Prediction of Protein-Protein Interactions using Stacked Auto-encoder. Wiley Transactions on Emerging Telecommunications Technologies (impact factor: 1.594)(accepted).

2020

Dipanjyoti Paul, Rahul Kumar, Sriparna Saha, and Jimson Mathew. Multi-objective Cuckoo Search based Streaming Feature Selection for multi-label Data set. ACM Transactions on Knowledge Discovery from Data (Impact Score: 5.78) (accepted).

Apoorva Singh, Sriparna Saha, Mohammed Hasanuzzaman, Kuntal Dey (2021). Multitask Learning for Complaint Identification and Sentiment Analysis. Cognitive Computation, Springer (Impact factor: 4.307).

N. Saini, S. Saha , P. Bhattacharyya (2020). Microblog Summarization using Self-adaptive Multi-objective Binary Differential Evolution. Applied Intelligence (impact factor: 3.325, h5-index: 42) (accepted).

S. Ghosh, A. Ekbal and P. Bhattacharyya, (2020). A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes. Cognitive Computation, Springer.

S. Mishra, R. Dhir, S. Saha, P. Bhattacharyya (2020). A Hindi Image Caption Generation Framework using Deep Learning. ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).

K. Jha and S. Saha (2020). Incorporation of Multimodal Multiobjective Optimization in Designing a Filter based Feature Selection Technique. Applied Soft Computing (impact factor: 5.472) (accepted).

K. Jha, S. Saha (2020). Amalgamation of 3D Structure and Sequence Information for Protein-Protein Interaction Prediction. Nature Scientific Report (impact factor: 4.120, h5-index: 178) (accepted)

C. Suman, S. Reddy, S. Saha , P. Bhattacharyya (2020). Why Pay More? A Simple and Efficient Named Entity Recognition System for Tweets. Expert Systems with Applications (impact factor: 5.452, h5-index: 111) (accepted).

N Saini, D. Bansal, S. Saha , P. Bhattacharyya (2020). Multi-Objective Multi-View based Search Result Clustering using Differential Evolution Framework. Expert Systems with Applications (impact factor: 5.452, h5-index: 111) (accepted).

S. Paul, S. Saha (2020). CyberBERT: BERT for Cyberbullying Identification. Multimedia Systems (impact factor: 1.563) (accepted).

P. Kapil and A. Ekbal. A Deep Neural Network based Multi-Task Learning Approach to Hate Speech Detection (2020). Knowledge based System, Elsevier

Santosh Mishra, Rijul Dhir, Sriparna Saha, Pushpak Bhattacharyya, Amit Singh. Image Captioning in Hindi Language using Transformer Networks. Computers & Electrical Engineering (impact factor: 2.663) journal.

Swagarika Giri, Pratik Dutta, Parth Halani, Sriparna Saha (2020) MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction. IEEE Journal of Biomedical and Health Informatics (Impact factor 5.180).

Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya. Towards Sentiment aware Multi-modal Dialogue Policy Learning using Hierarchical Reinforcement Learning. Cognitive Computation (impact factor: 4.980)

M. Firdaus, H. Chouhan, A. Ekbal and P. Bhattacharyya (2020). EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System. IEEE Transaction on Affective Computing (Impact Factor: 7.512).

Pratik Dutta, Piyush Mishra, Sriparna Saha. Incomplete Multi-view Gene Clustering with Data Regeneration using Shape Boltzmann Machine Computers in Biology and Medicine (impact factor: 3.434) (accepted).

R. Salgotra, U. Singh, S. Saha, A. H. Gandomi (2020). Self Adaptive Cuckoo Search: Analysis and Experimentation. Swarm and Evolutionary Computation (impact factor: 6.912) (accepted).

S. Yadav, S. Ramesh, S. Saha , A. Ekbal (2020). Relation Extraction from Biomedical and ClinicalText: Unified Multitask Learning Framework IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 3.015) (accepted).

Tulika Saha, Srivatsa Ramesh, Sriparna Saha, Pushpak Bhattacharyya. BERT-Caps: A Transformer based Capsule Network for Tweet Act Classification" (2020). IEEE Transactions on Computational Social Systems.

Sayantan Mitra, Sriparna Saha, and Mohammed Hasanuzzaman. Multi-view Clustering for Multi-Omics Data Using Unified Embedding Scientific Reports 2020 (h5 index 178, impact factor: 4.120) .

M. S. Akhtar, T. Garg, and A. Ekbal. Multi-task Learning for Aspect Term Extraction and Aspect Sentiment Classification. Neurocomputing 2020. (impact factor: 4.072)

P. Dutta, S. Saha , S. Naskar. A Multi-objective based PSO Approach for Inferring Pathway Activity utilizing Protein Interactions. Multimedia Tools and Applications 2020 (impact factor: 2.101) .

Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya. Towards Sentiment aided Dialogue Policy Learning for Multi-intent Conversations using Hierarchical Reinforcement Learning. PLOS ONE 2020. (h5 index: 176, impact factor: 2.776).

M. S. Akhtar, D. S. Chauhan, and A. Ekbal. A Deep Multi-Task Contextual Attention Framework for Multi-modal Affect Analysis. ACM Transactions on Knowledge Discovery and Data (TKDD) 2020. (impact factor: 2.538)

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya. Towards Integrated Dialogue Policy Learning for Multiple Domains and Intents using Hierarchical Deep Reinforcement Learning. Expert Systems with Applications 2020 (impact factor: 4.292, h5-index: 105).

Naveen Saini, Sriparna Saha, Sahil Mansoori, Pushpak Bhattacharyya. Fusion of self-organizing map and granular self-organizing map for microblog summarization. Soft Computation 2020 . (Impact Factor: 2.784).

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya (2020). A Hierarchical Approach for Efficient Multi-Intent Dialogue Policy Learning. Multimedia Tools and Applications 2020 .

Mauajama Firdaus, Hitesh Golchha, Asif Ekbal, Pushpak Bhattacharyya (2020). A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling. Cognitive Computation Journal 2020 (Impact Factor : 4.287).

Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya (2020). Measuring Temporal Distance Focus from Tweets and Investigating its Association with Psycho-demographic Attributes. IEEE Transactions on Affective Computing, 2020 (Impact Factor: 7.512).

Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. Neural machine translation of low-resource languages using SMT phrase pair injection. Natural Language Engineering 2020.

M. S. Akhtar, A. Ekbal, and E. Cambria. How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble. IEEE Computational Intelligence Magazine (CIM) 2020. (impact factor: 5.857)

Dipanjyoti Paul, Sriparna Saha, Jimson Mathew (2020). Improved Subspace Clustering Algorithm using Multi-objective Framework and Subspace Optimization. Expert Systems with Applications 2020 (Impact Factor : 4.292).

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya (2020). Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework. Cognitive Computation Journal 2020 (Impact Factor : 4.287).

2019

Pratik Dutta, Sriparna Saha, Sanket Pai and Aviral Kumar (2019). Protein-protein Interaction based Generative Model for Improving Gene Clustering.Scientific Reports- Nature, 2019. (Impact Factor: 4.15) Code Link.

Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal and Pushpak Bhattacharyya (2019). Is Your Document Novel? Let Attention Guide You. An Attention-Based Model For Document Level Novelty Detection, Natural Language Engineering 2019.

N. Saini, S. Saha, D. Chakraborty, P. Bhattacharyya (2019). Extractive single document summarization using binary differential evolution: Optimization of difference sentence quality measures, Plos One 2019 (impact factor: 2.76, h5 index: 176).

S. Mishra, S. Saha, S. Mondal, Carlos A. Coello Coello (2019). Divide-and-Conquer Based Non-dominated Sorting with Reduced Comparisons, Swarm and Evolutionary Computation 2019 (impact factor: 6.330).

N. Saini, S. Saha, V. Potnuru, R. Grover, P. Bhattacharyya (2019). Figure-Summarization: A Multiobjective optimization based approach, IEEE Intelligent Systems 2019 (impact factor: 4.464).

Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya (2019). Multi-objective Based Approach for Microblog Summarization. IEEE Transactions on Computational Social Systems.

Sayantan Mitra, Mohammed Hasanuzzaman, Sriparna Saha (2019). Unified Multi-view Clustering Algorithm using Multi-objective Optimization Coupled with Generative Model, ACM Transactions on Knowledge Discovery from Data.

Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya, Himanshu Tuteja (2019). Textual Entailment based Figure Summarization for Biomedical Articles. ACM Transactions on Multimedia Computing Communications and Applications.

Naveen Saini, Sriparna Saha, Chirag Soni, Pushpak Bhattacharyya (2019). Automatic Evolution of Bi-clusters from Microarray Data using Self-Organized Multi-objective Evolutionary Algorithm. Springer Applied Intelligence.

M. S. Akhtar, D. Ghosal, A. Ekbal, P. Bhattacharyya, and S. Kurohashi. All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework. IEEE Transactions on Affective Computing 2019. (Impact Factor: 7.512)

Ahmad, Zishan, Raghav Jindal, Asif Ekbal, and Pushpak Bhattachharyya (2019). Borrow from Rich Cousin: Transfer Learning for Emotion Detection using Cross Lingual Embedding. Expert Systems with Applications (Impact Factor: 4.292). Link.

Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Neural Network Framework for English Hindi Question Answering. ACM Transaction on Asian and Low-resource Language Information Processing (ACM TALLIP).

Pratik Dutta, Sriparna Saha, Saraansh Chopra, and Varnika Miglani (2019). Ensembling of Gene Clusters utilizing Deep Learning and Protein-protein Interaction Information IEEE/ACM TCBB.

Sayantan Mitra, Sriparna Saha (2019). A Multiobjective Multi-view Cluster Ensemble Technique: Application in Patient Subclassification, PLoS One (h5-index: 180).

Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal and Pushpak Bhattacharyya (2019). Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space, PLoS One (h5-index: 180). Link.

Pratik Dutta, Sriparna Saha and Saurabh Gulati (2019). Graph-based Hub Gene Selection Technique using Protein Interaction Information: Application to Sample Classification IEEE Journal of Biomedical and Health Informatics (Impact Factor: 3.85).

Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya (2019). Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation. IEEE Access journal.

Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, Siddhartha Bhattacharyya (2019). Assembling Translations from Multi-Engine Machine Translation. Applied Soft Computing.

2018

Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya (2018). Phrase Table Re-adjustment in Statistical Machine Translation. International Journal of Engineering and Technology (UAE).

Tanik Saikh, Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya (2018). The Use of Machine Translation Evaluation Metrics to Recognize the Textual Entailment, journal Research in Computing Science (RCS).

Md Shad Akhtar, Asif Ekbal, Sunny Narayan and Vikram Singh (2018). No that never happened!! Investigating Rumours in Twitter. IEEE Intelligent Systems, vol. 33, no. 5, pages 8-15.

Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal and Pushpak Bhattacharyya (2018). Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing, ACM TALLIP 2018. Link.

Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya (2018). Improving Word Embedding Coverage in Less-resource Language through Multi-linguality and Cross-linguality: A Case Study with Aspect based Sentiment Analysis, ACM TALLIP 2018.

S. Acharya, S. Saha, P. Pradhan (2018): Multi-factored gene-gene proximity measures exploiting biological knowledge extracted from Gene Ontology : application in gene clustering, IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 1.955).

S. Mishra, S. Mondal, S. Saha and Carlos A. Coello Coello, "GBOS: Generalized Best Order Sort Algorithm for Non-dominated Sorting", in Swarm and Evolutionary Computation 2018 (impact factor: 3.893).

Shweta Yadav, Asif Ekbal, Sriparna Saha, "Information Theoretic-PSO based Feature Selection: An Application in Biomedical Entity Extraction", in Knowledge and Information Systems 2018 (impact factor: 2.004).

R. Sengupta and Sriparna Saha, "Reference Point based Archived Many Objective Simulated Annealing", in Information Sciences 2018 (impact factor: 4.832).

Sudipta Acharya, Sriparna Saha , Pracheta Sahoo, "Bi-clustering of Microarray Data using a Symmetry based Multi-objective Optimization Framework", in Soft Computing 2018 (impact factor: 2.472).

S. Saha , M. Kaur (2018): Identification of Topology Preserving, Class-Relevant Feature Subsets using Multiobjective Optimization, Soft Computing ( impact factor: 2.472).

Sriparna Saha, Sayantan Mitra, Stefan Kramer, "Exploring Multiobjective Optimization for Multi-view Clustering", ACM Transactions on Knowledge Discovery from Data .

Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, "Phrase Table Re-adjustment in Statistical Machine Translation", International Journal of Engineering and Technology (UAE), 2018.

Sayantan Mitra, Sriparna Saha, Sudipta Acharya (2018). Fusion of Stability and Multi-objective Optimization for Solving Cancer Tissue Classification Problem, Expert Systems with Applications.

Tanik Saikh, Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, "The Use of Machine Translation Evaluation Metrics to Recognize the Textual Entailment", Journal Research in Computing Science (RCS), 2018.

2017

S. Saha , S. Acharya, Kavya K, Saisree (2017): Simultaneous Clustering and Feature Weighting using Multiobjective Optimization for Identifying Functionally Similar miRNAs, IEEE Journal of Biomedical and Health Informatics (impact factor: 3.451).

S. Acharya, S. Saha, N. Nikhil (2017): Unsupervised gene selection using biological knowledge : application in sample clustering, BMC Bioinformatics (impact factor: 2.448, h5-index: 62).

P. Dutta, S. Saha, "Fusion of expression values and protein interaction information using multi-objective optimization for improving gene clustering", Computers in Biology and Medicine(impact factor: 1.836), 2017.

S. Akhtar, D. Gupta, A. Ekbal and P. Bhattacharyya. "Feature Selection and Ensemble Construction: A Two-step Method for Aspect Based Sentiment Analysis", Knowledge-Based Systems, Elsevier, 2017.

S. Yadav, A. Ekbal and S. Saha, "Feature Selection for Entity Extraction from Multiple Biomedical Corpora: A PSO based Approach", Soft Computing Journal, Springer, 2017.

Sriparna Saha, Sayantan Mitra, Ravi Kant Yadav (2017). A stack-based ensemble framework for detecting cancer microRNA biomarkers, Genomics, proteomics & bioinformatics.

2016

S. Acharya, S. Saha, "Importance of Proximity Measures in Clustering of Cancer and miRNA Datasets:Proposal of an Automated Framework.", in Molecular BioSystems(IF:2.829), 2016.

S. Mishra, S. Saha, S. Mondal "A Multiobjective Optimization based Entity Matching Technique for Bibliographic Databases", in Expert Systems With Applications Journal.

U. K. Sikdar, A. Ekbal and S. Saha, "A Generalized Framework for Anaphora Resolution in Indian Languages", in Knowledge based Systems, Elsevier

S. Saha, S. Mitra, and R. K. Yadav (2016): A Multiobjective Based Automatic Framework for Classifying Cancer-microRNA Biomarkers, Gene Reports (expanded version of Gene (impact factor: 2.138))

S. Saha, A. Alok, A. Ekbal (2016): Brain Image Segmentation using Semi-supervised Clustering, Expert Systems with Applications (impact factor: 2.240)