Search Results - "Chaturvedi, Iti"

Bayesian network based extreme learning machine for subjectivity detection by Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, Zunino, Rodolfo, Cambria, Erik

“…Subjectivity detection is a task of natural language processing that aims to remove ‘factual’ or ‘neutral’ content, i.e., objective text that does not contain…”
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Landmark calibration for facial expressions and fish classification by Chaturvedi, Iti, Chen, Qian, Cambria, Erik, McConnell, Desmond

“…This paper considers the automatic labeling of emotions in face images found on social media. Facial landmarks are commonly used to classify the emotions from…”
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Deep transfer learning for classification of time-delayed Gaussian networks by Chaturvedi, Iti, Ong, Yew-Soon, Arumugam, Rajesh Vellore

“…In this paper, we propose deep transfer learning for classification of Gaussian networks with time-delayed regulations. To ensure robust signaling, most real…”
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Teaching Simulations Supported by Artificial Intelligence in the Real World by Chaturvedi, Iti, Cambria, Erik, Welsch, Roy E.

“…Video conferencing has enabled synchronous communication in a classroom and created multi-sensory content to stimulate learners. Artificial intelligence…”
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Adhesive Biocomposite Electrodes on Sweaty Skin for Long-Term Continuous Electrophysiological Monitoring by Yang, Hui, Ji, Shaobo, Chaturvedi, Iti, Xia, Huarong, Wang, Ting, Chen, Geng, Pan, Liang, Wan, Changjin, Qi, Dianpeng, Ong, Yew-Soon, Chen, Xiaodong

“…Noninvasive on-skin electrodes record the electrical potential changes from human skin, which reflect body condition and are applied for healthcare, sports…”
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Detecting robust time-delayed regulation in Mycobacterium tuberculosis by Chaturvedi, Iti, Rajapakse, Jagath C

“…Time delays are often found in gene regulation though most techniques of building gene regulatory networks are not capable of capturing such phenomena. Here we…”
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Fuzzy commonsense reasoning for multimodal sentiment analysis by Chaturvedi, Iti, Satapathy, Ranjan, Cavallari, Sandro, Cambria, Erik

“…•We project multi-modal datasets to a common AffectiveSpace that has been clustered into four emotions.•Fuzzy logic is used to model partial emotions.•The…”
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Distinguishing between facts and opinions for sentiment analysis: Survey and challenges by Chaturvedi, Iti, Cambria, Erik, Welsch, Roy E., Herrera, Francisco

“…•The paper provides a first-of-its-kind survey on subjectivity detection.•The survey contains both traditional methods and recent techniques.•The paper…”
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Sequential fusion of facial appearance and dynamics for depression recognition by Chen, Qian, Chaturvedi, Iti, Ji, Shaoxiong, Cambria, Erik

“…•A sequential fusion approach is proposed for facial depression recognition.•The correlation and complementarity between facial appearance and dynamics are…”
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Learning word dependencies in text by means of a deep recurrent belief network by Chaturvedi, Iti, Ong, Yew-Soon, Tsang, Ivor W., Welsch, Roy E., Cambria, Erik

“…We propose a deep recurrent belief network with distributed time delays for learning multivariate Gaussians. Learning long time delays in deep belief networks…”
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Predicting word vectors for microtext by Chaturvedi, Iti, Satapathy, Ranjan, Lynch, Curtis, Cambria, Erik

“…The use of computer‐mediated communication has resulted in a new form of written text called Microtext, which is very different from well‐written text. Most…”
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Predicting video engagement using heterogeneous DeepWalk by Chaturvedi, Iti, Thapa, Kishor, Cavallari, Sandro, Cambria, Erik, Welsch, Roy E.

“…Video engagement is important in online advertisements where there is no physical interaction with the consumer. Engagement can be directly measured as the…”
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Barrier Function to Skin Elasticity in Talking Head by Chaturvedi, Iti, Pandelea, Vlad, Cambria, Erik, Welsch, Roy, Datta, Bithin

“…In this paper, we target the problem of generating facial expressions from a piece of audio. This is challenging since both audio and video have inherent…”
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Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods by Valdivia, Ana, Hrabova, Emiliya, Chaturvedi, Iti, Luzón, M. Victoria, Troiano, Luigi, Cambria, Erik, Herrera, Francisco

“…TripAdvisor is an opinion source frequently used in Sentiment Analysis. On this social network, users explain their experiences in hotels, restaurants or…”
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Gaussian correction for adversarial learning of boundaries by Chaturvedi, Iti, Chen, Qian, Welsch, Roy E., Thapa, Kishor, Cambria, Erik

“…Social networking sites often monitor the response to brands, events and activities during personal chats or videos. Here, the facial expression of the speaker…”
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Guest Editorial Neurosymbolic AI for Sentiment Analysis by Xing, Frank, Schuller, Bjorn, Chaturvedi, Iti, Cambria, Erik, Hussain, Amir

“…Neural network-based methods, especially deep learning, have been a burgeoning area in AI research and have been successful in tackling the expanding data…”
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Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis by Poria, Soujanya, Chaturvedi, Iti, Cambria, Erik, Hussain, Amir

“…Technology has enabled anyone with an Internet connection to easily create and share their ideas, opinions and content with millions of other people around the…”
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Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks by Chaturvedi, Iti, Su, Chit Lin, Welsch, Roy E.

“…Evolutionary optimization aims to tune the hyper-parameters during learning in a computationally fast manner. For optimization of multi-task problems,…”
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Building gene networks with time-delayed regulations by Chaturvedi, Iti, Rajapakse, Jagath C.

“…We propose a method to build gene regulatory networks (GRN) capable of representing time-delayed regulations. The gene expression data is represented in two…”
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What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules by Valdivia, Ana, Martínez-Cámara, Eugenio, Chaturvedi, Iti, Luzón, M. Victoria, Cambria, Erik, Ong, Yew-Soon, Herrera, Francisco

“…Aspect-based sentiment analysis enables the extraction of fine-grained information, as it connects specific aspects that appear in reviews with a polarity…”
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