Chaturvedi, Iti, Satapathy, Ranjan, Lynch, Curtis, and Cambria, Erik (2024) Predicting word vectors for microtext. Expert Systems. (In Press)

Xing, Frank, Schuller, Bjorn, Chaturvedi, Iti, Cambria, Erik, and Hussain, Amir (2023) Guest Editorial Neurosymbolic AI for Sentiment Analysis. IEEE Transactions on Affective Computing, 14 (3). pp. 1711-1715.

Chaturvedi, Iti (2023) Retaining Women in Academics: Education Efforts [WIE From Around the World]. IEEE Women in Engineering Magazine, 17 (2). pp. 47-48.

Chaturvedi, Iti, Cambria, Erik, and Welsch, Roy E. (2023) Teaching Simulations Supported by Artificial Intelligence in the Real World. Education Sciences, 13 (2). 187.

Chen, Qian, Ragusa, Edoardo, Chaturvedi, Iti, Cambria, Erik, and Zunino, Rodolfo (2023) Text-Image Sentiment Analysis. In: Lecture Notes in Computer Science (13397) pp. 169-180. From: CICLing 2018: 19th International Conference on Computational Linguistics and Intelligent Text Processing, 18–24 March 2018, Hanoi, Vietnam.

Chaturvedi, Iti, Chen, Qian, Welsch, Roy E., Thapa, Kishor, and Cambria, Erik (2022) Gaussian correction for Adversarial learning of Boundaries. Signal Processing-Image Communication, 109. 116841.

Chaturvedi, Iti, Cambria, Erik, Chen, Qian, and McConnell, Desmond (2022) Landmark calibration for facial expressions and fish classification. Signal, Image and Video Processing, 16 (2). pp. 377-384.

Chaturvedi, Iti, Noel, Tim, and Satapathy, Ranjan (2022) Speech Emotion Recognition Using Audio Matching. Electronics, 11 (23). 3943.

Chaturvedi, Iti, Chit, Lin Su, and Welsch, Roy E. (2021) Fuzzy aggregated topology evolution for cognitive multi-tasks. Cognitive Computation, 13. pp. 96-107.

Chaturvedi, Iti, Thapa, Kishor, Cavallari, Sandro, Cambria, Erik, and Welsch, Roy E. (2021) Predicting video engagement using heterogeneous DeepWalk. Neurocomputing, 465. pp. 228-237.

Chen, Qian, Chaturvedi, Iti, Ji, Shaoxiong, and Cambria, Erik (2021) Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognition Letters, 150. pp. 115-121.

Chaturvedi, Iti, Cambria, Erik, Cavallari, Sandro, and Welsch, Roy E. (2020) Genetic programming for domain adaptation in product reviews. In: Proceedings of the IEEE Congress on Evolutionary Computation. From: CEC 2020: IEEE Congress on Evolutionary Computation, 19-24 July 2020, Glasgow, UK.

Yang, Hui, Ji, Shaobo, Chaturvedi, Iti, Xia, Huarong, Wang, Ting, Chen, Geng, Pan, Liang, Wan, Changjin, Qi, Dianpeng, Ong, Yew Soon, and Chen, Xiaodong (2020) Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring. ACS Materials Letters, 2 (5). pp. 478-484.

Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, and Cambria, Erik (2020) COAL: convolutional online adaptation learning for opinion mining. In: International Conference on Data Mining. pp. 15-22. From: ICDMW 2020: International Conference on Data Mining, 17-20 November 2020, Sorrento, Italy.

Chaturvedi, Iti, and Xiang, Jin (2020) Constrained manifold learning for videos. In: Proceedings of the IEEE International Joint Conference on Neural Networks. From: IJCNN 2020: IEEE International Joint Conference on Neural Networks, 19-24 July 2020, Glasgow, UK.

Valdivia, Ana, Martínez-Cámara, Eugenio, Chaturvedi, Iti, Luzón, M. Victoria, Cambria, Erik, Ong, Yew Soon, and Herrera, Francisco (2020) What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. Journal of Ambient Intelligence and Humanized Computing, 11. pp. 39-52.

Chaturvedi, Iti, Satapathy, Ranjan, Cavallari, Sandro, and Cambria, Erik (2019) Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognition Letters, 125. pp. 264-270.

Valdivia, Ana, Hrabova, Emiliya, Chaturvedi, Iti, Luzón, M. Victoria, Troiano, Luigi, Cambria, Erik, and Herrera, Francisco (2019) Inconsistencies on TripAdvisor reviews: a unified index between users and Sentiment Analysis Methods. Neurocomputing, 353. pp. 3-16.

Qian, Chen, Chaturvedi, Iti, Poria, Soujanya, Cambria, Erik, and Malandri, Lorenzo (2019) Learning visual concepts in images using temporal convolutional networks. In: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. 8628703. pp. 1280-1284. From: SSCI 2018: IEEE Symposium Series on Computational Intelligence, 18-21 November 2018, Bengalaru, India.

Young, Tom, Cambria, Erik, Chaturvedi, Iti, Zhou, Hao, Biswas, Subham, and Huang, Minlie (2018) Augmenting end-to-end dialogue systems with commonsense knowledge. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence. pp. 4970-4977. From: AAAI-18: 32nd AAAI Conference on Artificial Intelligence, 2-7 February 2018, New Orleans, LA, USA.

Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, Zunino, Rodolfo, and Cambria, Erik (2018) Bayesian network based extreme learning machine for subjectivity detection. Journal of The Franklin Institute, 355 (4). pp. 1780-1797.

Chaturvedi, Iti, Cambria, Erik, Welsch, Roy, and Herrera, Francisco (2018) Distinguishing between facts and opinions for sentiment analysis: survey and challenges. Information Fusion, 44. pp. 65-77.

Poria, Soujanya, Chaturvedi, Iti, Cambria, Erik, and Hussian, Amir (2017) Convolutional MKL based multimodal emotion recognition and sentiment analysis. In: Proceedings of the 16th International Conference on Data Mining. pp. 439-448. From: ICDM 2016: 16th International Conference on Data Mining, 12-15 December 2016, Barcelona, Spain.

Chaturvedi, Iti, Cavallari, Sandro, Cambria, Erik, and Zheng, Vincent (2017) Learning word vectors in Deep Walk using convolution. In: Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. pp. 323-328. From: FLAIRS-30: 30th International Florida Artificial Intelligence Research Society Conference, 22-24 May 2017, Marco Island, FL, USA.

Khatua, Aparup, Cambria, Erik, Khatua, Apalak, and Chaturvedi, Iti (2017) Let's chat about Brexit! A politically-sensitive dialog system based on Twitter data. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 393-398. From: ICDMW 2017: 17th IEEE International Conference on Data Mining Workshops, 18-21 November 2017, New Orleans, LA, USA.

Satapathy, Ranjan, Guerreiro, Claudia, Chaturvedi, Iti, and Cambria, Erik (2017) Phonetic-based microtext normalization for Twitter sentiment analysis. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 407-413. From: ICDMW 2017: 17th IEEE International Conference on Data Mining Workshops, 18-21 November 2017, New Orleans, LA, USA.

Satapathy, Ranjan, Chaturvedi, Iti, Cambria, Erik, Ho, Shirley S., and Na, Jin Cheon (2017) Subjectivity detection in nuclear energy tweets. Computacion y Sistemas, 21 (4). pp. 657-664.

Chaturvedi, Iti, Cambria, Erik, Poria, Soujanya, and Bajpai, Rajiv (2016) Bayesian deep convolution belief networks for subjectivity detection. In: Proceedings of the IEEE International Conference on Data Mining Workshops. 7836765. pp. 916-923. From: ICDMW 2016: 16th International Conference on Data Mining Workshops, 12-15 December 2015, Barcelona, Spain.

Chaturvedi, Iti, Ong, Yew-Soon, Tsang, Ivor W., Welsch, Roy E., and Cambria, Erik (2016) Learning word dependencies in text by means of a deep recurrent belief network. Knowledge Based Systems, 108. pp. 144-154.

Mondal, Anupam, Chaturvedi, Iti, Das, Dipankar, Bajpai, Rajiv, and Bandyopadhyay, Sivaji (2016) Lexical resource for medical events: a polarity based approach. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 1302-1309. From: ICDMW 2015: 15th IEEE International Conference on Data Mining Workshops, 14-17 November 2015, Atlantic City, NY, USA.

Chaturvedi, Iti, Cambria, Erik, and Vilares, David (2016) Lyapunov filtering of objectivity for Spanish sentiment model. In: Proceedings of the International Joint Conference on Neural Networks. pp. 4474-4481. From: IJCNN: 2016 International Joint Conference on Neural Networks, 24-29 July 2016, Vancouver, Canada.

Poria, Soujanya, Chaturvedi, Iti, Cambria, Erik, and Bisio, Federica (2016) Sentic LDA: improving on LDA with semantic similarity for aspect-based sentiment analysis. In: Proceedings of the International Joint Conference on Neural Networks. pp. 4465-4473. From: IJCNN: 2016 International Joint Conference on Neural Networks, 24-29 July 2016, Vancouver, Canada.

Cambria, Erik, Poria, Soujanya, Bisio, Federica, Bajpai, Rajiv, and Chaturvedi, Iti (2015) The CLSA model: a novel framework for concept-level sentiment analysis. In: Computational Linguistics and Intelligent Text Processing: Lecture Notes in Computer Science (9042) pp. 3-22. From: CICLing 2015: 16th International Conference on Intelligent Text Processing and Computational Linguistics, 14-20 April 2015, Cairo, Egypt.

Chaturvedi, Iti, Ong, Yew Soon, and Arumugam, Rajesh Vellore (2015) Deep transfer learning for classification of time-delayed Gaussian networks. Signal Processing, 110. pp. 250-262.

Chong, Yek Wei, Kee, Ying Hwa, and Chaturvedi, Iti (2015) Effects of brief mindfulness induction on weakening habits: evidence from a computer mouse control task. Mindfulness, 6. pp. 582-588.