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1. Full Text Distinguishing between facts and opinions for sentiment analysis: Survey and challenges
by Chaturvedi, Iti and Cambria, Erik and Welsch, Roy E and Herrera, Francisco
Information fusion, ISSN 1566-2535, 11/2018, Volume 44, pp. 65 - 77
Twitter | Word vector model | Subjectivity detection | Multi-lingual analysis | Convolutional neural network | Computer Science, Artificial Intelligence | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Surveys | Language processing | Computational linguistics | Neural networks | Natural language interfaces
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2. Full Text Fuzzy commonsense reasoning for multimodal sentiment analysis
by Chaturvedi, Iti and Satapathy, Ranjan and Cavallari, Sandro and Cambria, Erik
Pattern recognition letters, ISSN 0167-8655, 07/2019, Volume 125, pp. 264 - 270
Fuzzy logic | Deep learning | Sentiment prediction | Multi-modal | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer science | Electrocardiography | Neural networks | Electrocardiogram
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3. Full Text Learning word dependencies in text by means of a deep recurrent belief network
by Chaturvedi, Iti and Ong, Yew-Soon and Tsang, Ivor W and Welsch, Roy E and Cambria, Erik
Knowledge-based systems, ISSN 0950-7051, 09/2016, Volume 108, pp. 144 - 154
Deep belief networks | Time-delays | Markov Chain Monte Carlo | Variable-order | Gaussian networks | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Markov processes | Monte Carlo method | Business schools | Analysis
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4. Full Text Building gene networks with time-delayed regulations
by Chaturvedi, Iti and Rajapakse, Jagath C
Pattern recognition letters, ISSN 0167-8655, 2010, Volume 31, Issue 14, pp. 2133 - 2137
Gene regulatory networks | Viterbi algorithm | Dynamic Bayesian networks | Skip-chain model | Genetic algorithms | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Genetic research | Markov processes | Models | Algorithms | Gene expression
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5. Full Text Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods
by Valdivia, Ana and Hrabova, Emiliya and Chaturvedi, Iti and Luzón, M. Victoria and Troiano, Luigi and Cambria, Erik and Herrera, Francisco
Neurocomputing (Amsterdam), ISSN 0925-2312, 08/2019, Volume 353, pp. 3 - 16
Polarity aggregation | Sentiment analysis | Cultural monuments | Aspect based sentiment analysis | E-tourism | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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6. Full Text What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules
by Valdivia, Ana and Martínez-Cámara, Eugenio and Chaturvedi, Iti and Luzón, M. Victoria and Cambria, Erik and Ong, Yew-Soon and Herrera, Francisco
Journal of ambient intelligence and humanized computing, ISSN 1868-5137, 2018, Volume 11, Issue 1, pp. 39 - 52
Deep learning | Sentiment analysis | Aspect clustering | Subgroup discovery | Computer Science, Information Systems | Computer Science, Artificial Intelligence | Telecommunications | Technology | Computer Science | Science & Technology | Algorithms | Machine learning | Polarity | Data mining | Clustering | Subgroups
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7. Full Text Detecting robust time-delayed regulation in Mycobacterium tuberculosis
by Chaturvedi, Iti and Rajapakse, Jagath C
BMC genomics, ISSN 1471-2164, 12/2009, Volume 10, Issue 3, pp. S28 - S28
Time Factors | Mycobacterium tuberculosis - chemistry | Models, Genetic | DNA Damage | Gene Expression Regulation, Bacterial | Gene Regulatory Networks | Genetic Techniques | Mycobacterium tuberculosis - genetics | Studies | Signal transduction | Markov analysis | Alliances | Deoxyribonucleic acid--DNA | Transcription factors | Conferences | Transcription | DNA damage | Gene regulation | DNA repair | Computer programs | Feedback | Mathematical models | Models | Timing | Bayesian analysis | Bioinformatics | Index Medicus
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8. Full Text Deep transfer learning for classification of time-delayed Gaussian networks
by Chaturvedi, Iti and Ong, Yew-Soon and Arumugam, Rajesh Vellore
Signal processing, ISSN 0165-1684, 05/2015, Volume 110, pp. 250 - 262
Time-delays | Manifold | Deep neural networks | Variable-order | Gaussian networks | Transfer learning | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Neural networks | Learning | Networks | Regulations | State of the art | Classification | Games | Gaussian | Computational efficiency
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9. Full Text Bayesian network based extreme learning machine for subjectivity detection
by Chaturvedi, Iti and Ragusa, Edoardo and Gastaldo, Paolo and Zunino, Rodolfo and Cambria, Erik
Journal of the Franklin Institute, ISSN 0016-0032, 03/2018, Volume 355, Issue 4, pp. 1780 - 1797
Mathematics, Interdisciplinary Applications | Engineering | Physical Sciences | Technology | Engineering, Multidisciplinary | Engineering, Electrical & Electronic | Automation & Control Systems | Mathematics | Science & Technology | Fuzzy logic | Sentiment analysis | Recurrent neural networks | Neural networks | Machine learning | Social networks | Natural language processing | Data mining | Bayesian analysis
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10. Full Text Convolutional MKL based multimodal emotion recognition and sentiment analysis
by Poria, Soujanya and Chaturvedi, Iti and Cambria, Erik and Hussain, Amir
Proceedings - IEEE International Conference on Data Mining, ICDM, ISSN 1550-4786, 01/2017, pp. 439 - 448
Deep learning | Multiple kernel learning | Convolutional neural networks | Multimodal sentiment analysis
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11. Full Text Building gene networks with time-delayed regulations : Pattern recognition in bioinformatics
by CHATURVEDI, Iti and RAJAPAKSE, Jagath C
Pattern recognition letters, ISSN 0167-8655, 2010, Volume 31, Issue 14, pp. 2133 - 2137
Signal and communications theory | Coding, codes | Telecommunications and information theory | Exact sciences and technology | Applied sciences | Information, signal and communications theory
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12. Full Text Effects of Brief Mindfulness Induction on Weakening Habits: Evidence from a Computer Mouse Control Task
by Chong, Yek Wei and Chong, Yek Wei and Kee, Ying Hwa and Kee, Ying Hwa and Chaturvedi, Iti and Chaturvedi, Iti
Mindfulness, ISSN 1868-8527, 6/2015, Volume 6, Issue 3, pp. 582 - 588
Pediatrics | Present-moment awareness | Child and School Psychology | Public Health | Psychology | Social Sciences, general | Psychology, general | State mindfulness | Cognitive Psychology | Habits | Habitual responses | Weakened association | Psychology, Clinical | Social Sciences | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Physiological aspects | Habit breaking | Mouse devices (Computers) | Mindfulness meditation
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13. Full Text The power of now: Brief mindfulness induction led to increased randomness of clicking sequence
by Kee, Ying Hwa and Chaturvedi, Iti and Wang, Chee Keng John and Chen, Lung Hung
Motor control, ISSN 1087-1640, 2013, Volume 17, Issue 3, pp. 238 - 255
Present-moment awareness | Action | Stochastic | Bayesian network | Creativity | Neurosciences | Sport Sciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | User-Computer Interface | Markov Chains | Humans | Male | Problem Solving - physiology | Awareness - physiology | Young Adult | Attention - physiology | Learning - physiology | Likelihood Functions | Movement - physiology | Bayes Theorem | Mindfulness - methods | Adult | Female | Surveys and Questionnaires | Functional Laterality - physiology | Monte Carlo Method | Index Medicus
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14. Full Text Constrained Manifold Learning for Videos
by Chaturvedi, Iti and Xiang, Jin
2020 International Joint Conference on Neural Networks (IJCNN), 07/2020, pp. 1 - 8
Training | Manifolds | Adaptation models | Manifold Learning | Bayesian Model Selection | Video Generation | Adversarial Networks | Generators | Gallium nitride | Faces | Videos
Conference Proceeding
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15. Full Text Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis
by Poria, Soujanya and Chaturvedi, Iti and Cambria, Erik and Bisio, Federica
2016 International Joint Conference on Neural Networks (IJCNN), 07/2016, Volume 2016-, pp. 4465 - 4473
Sentiment analysis | Vocabulary | Electronic mail | Semantics | Clustering algorithms | Companies
Conference Proceeding
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16. Augmenting end-to-end dialogue systems with commonsense knowledge
by Young, Tom and Cambria, Erik and Chaturvedi, Iti and Zhou, Hao and Biswas, Subham and Huang, Minlie
32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2018, pp. 4970 - 4977
Conference Proceeding
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17. Full Text Genetic Programming for Domain Adaptation in Product Reviews
by Chaturvedi, Iti and Cambria, Erik and Cavallari, Sandro and Welsch, Roy E
2020 IEEE Congress on Evolutionary Computation (CEC), 07/2020, pp. 1 - 8
Training | Sentiment analysis | Adaptation models | Neurons | Feature extraction | Mathematical model | Genetic Programming | Kernel
Conference Proceeding
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18. Full Text Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network
by Zheng, Jie and Chaturvedi, Iti and Rajapakse, Jagath C
2011, Lecture Notes in Computer Science, ISBN 3642248543, Volume 7036
histone modification | yeast cell cycle | Bayesian networks | gene regulatory network | epigenetics | gene expression | priors
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