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Sequence Unlearning for Sequential Recommender Systems
Sequential recommender systems, leveraging clients’ sequential product browsing history, have become an essential tool in delivering personalized...
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A sparse matrix formulation of model-based ensemble Kalman filter
We introduce a computationally efficient variant of the model-based ensemble Kalman filter (EnKF). We propose two changes to the original...
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Electrocardiogram-based heart disease prediction using hybrid deep feature engineering with sequential deep classifier
Several approaches can detect early heart problems. Electrocardiograms (ECGs) are better and more affordable for early heart disease prediction. ECG...
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Robust cascaded-parallel visual tracking using collaborative color and correlation filter models
In recent years, the multi-expert collaborative tracking strategy has been introduced into visual tracking tasks and achieves impressive performance....
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Advancing mammography breast mass detection through diffusion segmentation
Medicine has become a necessary component of our daily life in the modern world. In this ever-changing environment, computer-aided diagnosis (CAD)...
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An Efficient Sample Steering Strategy for Correlation Filter Tracking
Nowadays, many researchers utilize the correlation filter based trackers to address the severe appearance and motion changes in video sequences. A...
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Towards Interpretable Video Super-Resolution via Alternating Optimization
In this paper, we study a practical space-time video super-resolution (STVSR) problem which aims at generating a high-framerate high-resolution sharp...
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A robust tracker integrating particle filter into correlation filter framework
The location and scale filters in discriminative correlation filter methods are lack of accurate rotation representation capability and updated with...
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Use of Kalman Filter and Its Variants in State Estimation: A Review
The exponential increase in demand for energy globally has created an urge to increase the production and its efficient supply. Microgrids are one...
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Handling irregularly sampled signals with gated temporal convolutional networks
We investigate the sequential modeling problem and introduce a novel gating mechanism into the temporal convolutional network architectures. In...
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Closed sequential pattern mining for sitemap generation
A sitemap represents an explicit specification of the design concept and knowledge organization of a website and is therefore considered as the...
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Federated privacy-preserving collaborative filtering for on-device next app prediction
In this study, we propose a novel SeqMF model to solve the problem of predicting the next app launch during mobile device usage. Although this...
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Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering
Interest in the studying of functional connections in the brain has grown considerably in the last decades, as many studies have pointed out that...
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Signal design for MIMO dual-function systems with permutation learning
This paper addresses the signal matrix synthesis in the multi-input-multi-output (MIMO) dual-function system aimed at obtaining the desired radar...
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Multiple-input neural networks for time series forecasting incorporating historical and prospective context
Individual and societal systems are open systems continuously affected by their situational context. In recent years, context sources have been...
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Concurrent Programming
We now consider a subject that is substantially different from those seen in the previous chapters. Up to now, we have considered sequential...
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MuCon: Multi-channel convolution for targeted sentiment classification
Targeted Sentiment Analysis goes beyond general sentiment classification tasks by aiming to identify the sentiment of a specific target aspect within...
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Orthogonal affine precoding and decoding based channel estimation and data detection in frequency reversed Alamouti coded FBMC-OQAM system
The proposed framework incorporates orthogonal affine precoding and decoding (OAPD) based channel estimation and data detection in frequency reversed...
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Object Tracking with Channel Group Regularization and Smooth Constraints Using Improved Dynamic Convolution Kernels in ITS
Aiming at the problem that the correlation between multi-channel feature representation and filter structure is not considered in the objective...
