u-Genome: A Database on Genome Design in Unicellular Genomes. - Kishore R. Sakharkar; Iti Chaturvedi; Vincent T. K. Chow; Chee Keong Kwoh 001; Pandjassarame Kangueane; Meena Kishore Sakharkar (Silico Biol., 2005)

Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation. - Iti Chaturvedi; Meena K. Sakharkar; Jagath C. Rajapakse (PRIB, 2007)

Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models. - Iti Chaturvedi; Jagath C. Rajapakse (PRIB, 2008)

Gene regulatory networks with variable-order dynamic Bayesian networks. - Jagath C. Rajapakse; Iti Chaturvedi (IJCNN, 2010)

Building gene networks with time-delayed regulations. - Iti Chaturvedi; Jagath C. Rajapakse (Pattern Recognit. Lett., 2010)

Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks. - Jagath C. Rajapakse; Iti Chaturvedi (PRIB, 2011)

Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. - Jie Zheng 002; Iti Chaturvedi; Jagath C. Rajapakse (PRIB, 2011)

Bayesian framework for building gene regulatory networks including delays - Iti Chaturvedi (2013)

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. - Erik Cambria; Soujanya Poria; Federica Bisio; Rajiv Bajpai; Iti Chaturvedi (CICLing (2), 2015)

Lexical Resource for Medical Events: A Polarity Based Approach. - Anupam Mondal; Iti Chaturvedi; Dipankar Das 001; Rajiv Bajpai; Sivaji Bandyopadhyay (ICDM Workshops, 2015)

Deep transfer learning for classification of time-delayed Gaussian networks. - Iti Chaturvedi; Yew-Soon Ong; Rajesh Vellore Arumugam (Signal Process., 2015)

Bayesian Deep Convolution Belief Networks for Subjectivity Detection. - Iti Chaturvedi; Erik Cambria; Soujanya Poria; Rajiv Bajpai (ICDM Workshops, 2016)

Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis. - Soujanya Poria; Iti Chaturvedi; Erik Cambria; Amir Hussain 001 (ICDM, 2016)

Lyapunov filtering of objectivity for Spanish Sentiment Model. - Iti Chaturvedi; Erik Cambria; David Vilares 001 (IJCNN, 2016)

Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. - Soujanya Poria; Iti Chaturvedi; Erik Cambria; Federica Bisio (IJCNN, 2016)

Learning word dependencies in text by means of a deep recurrent belief network. - Iti Chaturvedi; Yew-Soon Ong; Ivor W. Tsang; Roy E. Welsch; Erik Cambria (Knowl. Based Syst., 2016)

Learning Word Vectors in Deep Walk using Convolution. - Iti Chaturvedi; Erik Cambria; Sandro Cavallari; Vincent Wenchen Zheng (FLAIRS, 2017)

Let's Chat about Brexit! A Politically-Sensitive Dialog System Based on Twitter Data. - Aparup Khatua; Erik Cambria; Apalak Khatua; Iti Chaturvedi (ICDM Workshops, 2017)

Phonetic-Based Microtext Normalization for Twitter Sentiment Analysis. - Ranjan Satapathy; Claudia Guerreiro; Iti Chaturvedi; Erik Cambria (ICDM Workshops, 2017)

Basic tasks of sentiment analysis. - Iti Chaturvedi; Soujanya Poria; Erik Cambria (CoRR, 2017)

Subjectivity Detection in Nuclear Energy Tweets. - Ranjan Satapathy; Iti Chaturvedi; Erik Cambria; Shirley S. Ho; Jin-Cheon Na (Computación y Sistemas, 2017)

Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. - Tom Young; Erik Cambria; Iti Chaturvedi; Hao Zhou; Subham Biswas; Minlie Huang (AAAI, 2018)

Text-Image Sentiment Analysis. - Qian Chen 033; Edoardo Ragusa; Iti Chaturvedi; Erik Cambria; Rodolfo Zunino (CICLing (2), 2018)

Learning Visual Concepts in Images Using Temporal Convolutional Networks. - Qian Chen 033; Iti Chaturvedi; Soujanya Poria; Erik Cambria; Lorenzo Malandri (SSCI, 2018)

Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. - Iti Chaturvedi; Erik Cambria; Roy E. Welsch; Francisco Herrera (Inf. Fusion, 2018)

Bayesian network based extreme learning machine for subjectivity detection. - Iti Chaturvedi; Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria (J. Frankl. Inst., 2018)

Sentiment Analysis, Basic Tasks of. - Iti Chaturvedi; Soujanya Poria; Erik Cambria (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. - Ana Valdivia; Emiliya Hrabova; Iti Chaturvedi; María Victoria Luzón; Luigi Troiano; Erik Cambria; Francisco Herrera (Neurocomputing, 2019)

Fuzzy commonsense reasoning for multimodal sentiment analysis. - Iti Chaturvedi; Ranjan Satapathy; Sandro Cavallari; Erik Cambria (Pattern Recognit. Lett., 2019)

Genetic Programming for Domain Adaptation in Product Reviews. - Iti Chaturvedi; Erik Cambria; Sandro Cavallari; Roy E. Welsch (CEC, 2020)

COAL: Convolutional Online Adaptation Learning for Opinion Mining. - Iti Chaturvedi; Edoardo Ragusa; Paolo Gastaldo; Erik Cambria (ICDM (Workshops), 2020)

Constrained Manifold Learning for Videos. - Iti Chaturvedi; Jin Xiang (IJCNN, 2020)

What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. - Ana Valdivia; Eugenio Martínez-Cámara; Iti Chaturvedi; María Victoria Luzón; Erik Cambria; Yew-Soon Ong; Francisco Herrera (J. Ambient Intell. Humaniz. Comput., 2020)

Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks. - Iti Chaturvedi; Chit Lin Su; Roy E. Welsch (Cogn. Comput., 2021)

Predicting video engagement using heterogeneous DeepWalk. - Iti Chaturvedi; Kishor Thapa; Sandro Cavallari; Erik Cambria; Roy E. Welsch (Neurocomputing, 2021)

Sequential fusion of facial appearance and dynamics for depression recognition. - Qian Chen 033; Iti Chaturvedi; Shaoxiong Ji; Erik Cambria (Pattern Recognit. Lett., 2021)

Landmark calibration for facial expressions and fish classification. - Iti Chaturvedi; Qian Chen 033; Erik Cambria; Desmond McConnell (Signal Image Video Process., 2022)

Gaussian correction for adversarial learning of boundaries. - Iti Chaturvedi; Qian Chen 033; Roy E. Welsch; Kishor Thapa; Erik Cambria (Signal Process. Image Commun., 2022)

Guest Editorial Neurosymbolic AI for Sentiment Analysis. - Frank Xing; Björn W. Schuller; Iti Chaturvedi; Erik Cambria; Amir Hussain 001 (IEEE Trans. Affect. Comput., 2023)

Predicting word vectors for microtext. - Iti Chaturvedi; Ranjan Satapathy; Curtis Lynch; Erik Cambria (Expert Syst. J. Knowl. Eng., 2024)

Barrier Function to Skin Elasticity in Talking Head. - Iti Chaturvedi; Vlad Pandelea; Erik Cambria; Roy E. Welsch; Bithin Datta (Cogn. Comput., 2024)

A review of named entity recognition: from learning methods to modelling paradigms and tasks. - Wei Liang Seow; Iti Chaturvedi; Amber Hogarth; Rui Mao 010; Erik Cambria (Artif. Intell. Rev., 2025)