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Publication search results
found 50 matches
- 2017
- Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg:
Analysis of sentence embedding models using prediction tasks in natural language processing. IBM J. Res. Dev. 61(4-5): 3:1-3:9 (2017) - Shivali Agarwal, Vishalaksh Aggarwal, Arjun R. Akula, Gargi Banerjee Dasgupta, Giriprasad Sridhara:
Automatic problem extraction and analysis from unstructured text in IT tickets. IBM J. Res. Dev. 61(1): 4:41-4:52 (2017) - Kartik Audhkhasi, Andrew Rosenberg, George Saon, Abhinav Sethy, Bhuvana Ramabhadran, Stanley F. Chen, Michael Picheny:
Recent progress in deep end-to-end models for spoken language processing. IBM J. Res. Dev. 61(4-5): 2:1-2:10 (2017) - Raimo Bakis, Daniel P. Connors, Parijat Dube, Pavan Kapanipathi, Abhishek Kumar, Dmitry Malioutov, Chitra Venkatramani:
Performance of natural language classifiers in a question-answering system. IBM J. Res. Dev. 61(4-5): 14:1-14:10 (2017) - Aaron K. Baughman, Steven Hammer, David Provan:
Using language models for improving speech recognition for U.S. Open Tennis Championships. IBM J. Res. Dev. 61(4-5): 15:1-15:9 (2017) - Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi, Parijat Dube, Ben Herta, Vatche Ishakian, K. R. Jayaram, Rania Khalaf, Avesh Krishna, Yu Bo Li, Vinod Muthusamy, Ruchir Puri, Yufei Ren, Florian Rosenberg, Seetharami R. Seelam, Yi Wang, Jian Ming Zhang, Li Zhang:
IBM Deep Learning Service. IBM J. Res. Dev. 61(4-5): 10:1-10:11 (2017) - Bishwaranjan Bhattacharjee, Matthew L. Hill, H. Wu, P. S. Chandakkar, John R. Smith, Mark N. Wegman:
Distributed learning of deep feature embeddings for visual recognition tasks. IBM J. Res. Dev. 61(4-5): 4:1-4:8 (2017) - Nicholas Bolten, S. Mukherjee, V. Sipeeva, A. Tanweer, Anat Caspi:
A pedestrian-centered data approach for equitable access to urban infrastructure environments. IBM J. Res. Dev. 61(6): 10:1-10:12 (2017) - Behzad Bozorgtabar, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. IBM J. Res. Dev. 61(4-5): 6:1-6:8 (2017) - Eric Butler, Thomas D. Griffin, Divyesh Jadav, H. P. Petersen, A. A. Barabas:
Enterprise storage software lifecycle management system. IBM J. Res. Dev. 61(1): 10:110-10:120 (2017) - Guillermo A. Cecchi, Viatcheslav Gurev, Steve Heisig, Raquel Norel, Irina Rish, Samantha R. Schrecke:
Computing the structure of language for neuropsychiatric evaluation. IBM J. Res. Dev. 61(2/3): 1:1-1:10 (2017) - Li Li Chen, Jian Xu, Qi Zhang, Qin Hua Wang, Yong Qing Xue, Chang Rui Ren:
Evaluating impact of air pollution on different diseases in Shenzhen, China. IBM J. Res. Dev. 61(6): 2:1-2:9 (2017) - Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Alan Halpern, John R. Smith:
Deep learning ensembles for melanoma recognition in dermoscopy images. IBM J. Res. Dev. 61(4-5): 5:1-5:15 (2017) - Yu Deng, Kaoutar El Maghraoui, Thomas D. Griffin, Vikas Agarwal, Srikanth G. Tamilselvam, Rahul D. Sharnagat, Tabari H. Alexander, Nicolas E. Gómez, Christopher M. Cramer, Alan Bivens, Divyesh Jadav, Zaman M. Valli-Hasham, Kevin Wahlmeier:
Advanced search system for IT support services. IBM J. Res. Dev. 61(1): 3:27-3:40 (2017) - Pankaj Dhoolia, Pallavi Chugh, Pierre Costa, Neelamadhav Gantayat, Monika Gupta, Nanda Kambhatla, Rajesh Kumar, Senthil Mani, Pulak Mitra, Cathy Rogerson, Mayur Saxena:
A cognitive system for business and technical support: A case study. IBM J. Res. Dev. 61(1): 7:74-7:85 (2017) - Gonzalo I. Diaz, Achille Fokoue-Nkoutche, Giacomo Nannicini, Horst Samulowitz:
An effective algorithm for hyperparameter optimization of neural networks. IBM J. Res. Dev. 61(4-5): 9:1-9:11 (2017) - Salvador Dura-Bernal, Samuel A. Neymotin, Cliff C. Kerr, Subhashini Sivagnanam, Amit Majumdar, Joseph T. Francis, William W. Lytton:
Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM J. Res. Dev. 61(2/3): 6:1-6:14 (2017) - Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Predicting poaching for wildlife Protection. IBM J. Res. Dev. 61(6): 3:1-3:12 (2017) - Ioana Giurgiu, Dorothea Wiesmann, Jasmina Bogojeska, David Lanyi, George Stark, Rodney B. Wallace, Marcelo M. Pereira, Alexander A. Hidalgo:
On the adoption and impact of predictive analytics for server incident reduction. IBM J. Res. Dev. 61(1): 9:98-9:109 (2017) - Benjamin Goudey, Roslyn I. Hickson, C. K. H. Hettiarachchige, M. Pore, C. Reeves, O. J. Smith, Annalisa Swan:
A framework for optimal health worker allocation in under-resourced regions. IBM J. Res. Dev. 61(6): 5:1-5:12 (2017) - Michael Gschwind, Tim Kaldewey, David K. Tam:
Optimizing the efficiency of deep learning through accelerator virtualization. IBM J. Res. Dev. 61(4-5): 12:1-12:11 (2017) - Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Inhibition-augmented COSFIRE model of shape-selective neurons. IBM J. Res. Dev. 61(2/3): 10:1-10:9 (2017) - Lorraine M. Herger, William J. Rippon, Carlos A. Fonseca, W. Pointer, Brian M. Belgodere, W. H. Cornejo, M. J. Frissora:
End-to-end service data analysis: Efficiencies achieved across the enterprise. IBM J. Res. Dev. 61(1): 1:5-1:16 (2017) - Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney:
How to foster innovation: A data-driven approach to measuring economic competitiveness. IBM J. Res. Dev. 61(6): 11:1-11:12 (2017) - H. Lamba, M. E. Helander, Moninder Singh, N. Lethif, Achyutram Bhamidipaty, S. A. Baset, Aleksandra Mojsilovic, Kush R. Varshney:
Understanding the ecospace of philanthropic projects. IBM J. Res. Dev. 61(6): 6:1-6:10 (2017) - Jordi-Ysard Puigbò Llobet, Miguel Ángel González Ballester, Paul F. M. J. Verschure:
Modeling the neural substrates of learning through conditioning: A two-phased model. IBM J. Res. Dev. 61(2/3): 9:1-9:11 (2017) - Iulia-Alexandra Lungu, Alexa Riehle, Martin P. Nawrot, Michael Schmuker:
Predicting voluntary movements from motor cortical activity with neuromorphic hardware. IBM J. Res. Dev. 61(2/3): 5:1-5:12 (2017) - Benjamin S. Mashford, Antonio Jimeno-Yepes, Isabell Kiral-Kornek, Jianbin Tang, Stefan Harrer:
Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces. IBM J. Res. Dev. 61(2/3): 7:1-7:6 (2017) - F. J. Meng, Mark N. Wegman, J. M. Xu, X. Zhang, P. Chen, G. Chafle:
IT troubleshooting with drift analysis in the DevOps era. IBM J. Res. Dev. 61(1): 6:62-6:73 (2017) - Aleksandra Mojsilovic, Kush R. Varshney:
Preface: Data Science for Social Good. IBM J. Res. Dev. 61(6): 1-4 (2017)
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