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Publication search results
found 755 matches
- 2018
- Daniel S. Levine, Kay-Yut Chen:
Neural Network Modeling of Gist and Verbatim in Business Decision Making. IJCNN 2018: 1-8 - Xia Hong, Giuseppe Di Fatta, Hao Chen, Senlin Wang:
Sparse least squares support vector regression for nonstationary systems. IJCNN 2018: 1-8 - Abhijit Das, Abira Sengupta, Muhammad Saqib, Umapada Pal, Michael Blumenstein:
More Realistic and Efficient Face-Based Mobile Authentication using CNNs. IJCNN 2018: 1-8 - Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. IJCNN 2018: 1-8 - Gang Chen, Yiming Peng, Mengjie Zhang:
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN 2018: 1-8 - Shunsuke Aoki, Seitaro Koyama, Toshimichi Saito:
Analysis and Implementation of Simple Dynamic Binary Neural Networks. IJCNN 2018: 1-6 - Hao Yu, Zhaoning Zhang, Zijie Zhu, Wang Xiong, Gen Zhang:
Nominal Data Similarity: A Hierarchical Measure. IJCNN 2018: 1-7 - Ashraf M. Abdelbar, Islam El-Nabarawy, Khalid M. Salama, Donald C. Wunsch:
Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent. IJCNN 2018: 1-7 - Sherif M. Abdelfattah, Ghodai M. Abdelrahman, Min Wang:
Augmenting The Size of EEG datasets Using Generative Adversarial Networks. IJCNN 2018: 1-6 - Brendan Abraham, Abhijith Mandya, Rohan Bapat, Fatma Alali, Don E. Brown, Malathi Veeraraghavan:
A Comparison of Machine Learning Approaches to Detect Botnet Traffic. IJCNN 2018: 1-8 - Raphael Abreu, Joel A. F. dos Santos, Eduardo Bezerra:
A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization. IJCNN 2018: 1-8 - Ildefons Magrans de Abril, Ryota Kanai:
Curiosity-Driven Reinforcement Learning with Homeostatic Regulation. IJCNN 2018: 1-6 - Ibrahim Y. Abualhaol, Rafael Falcon, Rami S. Abielmona, Emil M. Petriu:
Mining Port Congestion Indicators from Big AIS Data. IJCNN 2018: 1-8 - Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein:
Cognitive Analysis for Reading and Writing of Bengali Conjuncts. IJCNN 2018: 1-7 - Sharath Adavanne, Archontis Politis, Tuomas Virtanen:
Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features. IJCNN 2018: 1-7 - Rafael de Lima Aguiar, Yandre M. G. Costa, Carlos Nascimento Silla Jr.:
Exploring Data Augmentation to Improve Music Genre Classification with ConvNets. IJCNN 2018: 1-8 - João Paulo Aires, Juarez Monteiro, Roger Granada, Felipe Meneguzzi:
Norm Conflict Identification using Vector Space Offsets. IJCNN 2018: 1-8 - João Paulo Aires, Carlos Padilha, Christian Quevedo, Felipe Meneguzzi:
A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets. IJCNN 2018: 1-8 - Igor N. Aizenberg, Alexander Gonzalez:
Image Recognition using MLMVN and Frequency Domain Features. IJCNN 2018: 1-8 - Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil:
Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. IJCNN 2018: 1-6 - Mehmet Aktukmak, Samuel Mercier, Ismail Uysal:
A Neural Net Framework for Accumulative Feature-based Matrix Completion. IJCNN 2018: 1-6 - Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. IJCNN 2018: 1-6 - Alberto Albuquerque, Tiago Amador, Renato Ferreira, Adriano Veloso, Nivio Ziviani:
Learning to Rank with Deep Autoencoder Features. IJCNN 2018: 1-8 - Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh:
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images. IJCNN 2018: 1-7 - Adamu Ali-Gombe, Eyad Elyan, Yann Savoye, Chrisina Jayne:
Few-shot Classifier GAN. IJCNN 2018: 1-8 - Adis Alihodzic, Eva Tuba, Dana Simian, Viktor Tuba, Milan Tuba:
Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm. IJCNN 2018: 1-8 - Julio Henrique Lopes de Almeida, L. A. R. Lopes, M. A. B. Silva, Jorge Luís Machado do Amaral:
Convolutional Neural Networks applied in the monitoring of metallic parts. IJCNN 2018: 1-8 - Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha:
Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems. IJCNN 2018: 1-8 - Md. Zahangir Alom, Theodore Josue, Md Nayim Rahman, Will Mitchell, Chris Yakopcic, Tarek M. Taha:
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System. IJCNN 2018: 1-8 - Md. Zahangir Alom, Adam T. Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha:
Effective Quantization Approaches for Recurrent Neural Networks. IJCNN 2018: 1-8
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