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ORCIDIBM Journal of Research and Development, Volume 61
Volume 61, Number 1, 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. 1:5-1:16 - Venkatraman Ramakrishna, Nitendra Rajput, Sougata Mukherjea, Kuntal Dey:
A platform for end-to-end mobile application infrastructure analytics using system log correlation. 2:17-2:26 - 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. 3:27-3:40 - Shivali Agarwal, Vishalaksh Aggarwal, Arjun R. Akula, Gargi Banerjee Dasgupta, Giriprasad Sridhara:
Automatic problem extraction and analysis from unstructured text in IT tickets. 4:41-4:52 - Karthikeyan Ponnalagu:
Ontology-driven root-cause analytics for user-reported symptoms in managed IT systems. 5:53-5:61 - F. J. Meng, Mark N. Wegman, J. M. Xu, X. Zhang, P. Chen, G. Chafle:
IT troubleshooting with drift analysis in the DevOps era. 6:62-6:73 - 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. 7:74-7:85 - S. Sarkar, B. Tak:
Entity search techniques for expediting entitlement resolution in technology support services. 8:86-8:97 - 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. 9:98-9:109 - Eric Butler, Thomas D. Griffin, Divyesh Jadav, H. P. Petersen, A. A. Barabas:
Enterprise storage software lifecycle management system. 10:110-10:120 - J. Wang, C. Li, S. Han, S. Sarkar, X. Zhou:
Predictive maintenance based on event-log analysis: A case study. 11:121-11:132
Volume 61, Numbers 2/3, 2017
- Guillermo A. Cecchi, Viatcheslav Gurev, Steve Heisig, Raquel Norel, Irina Rish, Samantha R. Schrecke:
Computing the structure of language for neuropsychiatric evaluation. 1:1-1:10 - Elizabeth Webster, Noi Sukaviriya, Hung-Yang Chang, James R. Kozloski:
Predicting cognitive states from wearable recordings of autonomic function. 2:1-2:11 - Irina Rish, Guillermo A. Cecchi:
Holographic brain: Distributed versus local activation patterns in fMRI. 3:1-3:9 - Pablo Polosecki, Eduardo Castro, Andrew Wood, John H. Warner, Irina Rish, Guillermo A. Cecchi:
Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease. 4:1-4:10 - Iulia-Alexandra Lungu, Alexa Riehle, Martin P. Nawrot, Michael Schmuker:
Predicting voluntary movements from motor cortical activity with neuromorphic hardware. 5:1-5:12 - 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. 6:1-6:14 - 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. 7:1-7:6 - Pascal Nieters, Johannes Leugering, Gordon Pipa:
Neuromorphic computation in multi-delay coupled models. 8:7-8:9 - 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. 9:1-9:11 - Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov:
Inhibition-augmented COSFIRE model of shape-selective neurons. 10:1-10:9 - Tuan M. Hoang Trong, Sarah E. Motley, John Wagner, Robert R. Kerr, James R. Kozloski:
Dendritic spines modify action potential back-propagation in a multicompartment neuronal model. 11:1-11:13
Volume 61, Number 4-5, 2017
- George Saon, Michael Picheny:
Recent advances in conversational speech recognition using convolutional and recurrent neural networks. 1:1-1:10 - 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. 2:1-2:10 - Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg:
Analysis of sentence embedding models using prediction tasks in natural language processing. 3:1-3:9 - 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. 4:1-4:8 - 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. 5:1-5:15 - Behzad Bozorgtabar, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. 6:1-6:8 - Ravi Nair, S. Gupta:
Wildfire: Approximate synchronization of parameters in distributed deep learning. 7:1-7:9 - Takayuki Osogami, Sakyasingha Dasgupta:
Learning the values of the hyperparameters of a dynamic Boltzmann machine. 8:1-8:8 - Gonzalo I. Diaz, Achille Fokoue-Nkoutche, Giacomo Nannicini, Horst Samulowitz:
An effective algorithm for hyperparameter optimization of neural networks. 9:1-9:11 - 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. 10:1-10:11 - Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Kohji Hosokawa, Scott C. Lewis, Robert M. Shelby, Geoffrey W. Burr:
Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory. 11:1-11:11 - Michael Gschwind, Tim Kaldewey, David K. Tam:
Optimizing the efficiency of deep learning through accelerator virtualization. 12:1-12:11 - Matthew M. Ziegler, Ramon Bertran Monfort, Alper Buyuktosunoglu, Pradip Bose:
Machine learning techniques for taming the complexity of modern hardware design. 13:1-13:14 - 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. 14:1-14:10 - Aaron K. Baughman, Steven Hammer, David Provan:
Using language models for improving speech recognition for U.S. Open Tennis Championships. 15:1-15:9
Volume 61, Number 6, 2017
- Aleksandra Mojsilovic, Kush R. Varshney:
Preface: Data Science for Social Good. 1-4 - Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jan Houdek, M. Abubakar, Abdulwahab Alharbi, T. Braimoh, N. Ihebuzor, Aleksandra Mojsilovic, Kush R. Varshney:
Effectiveness of peer detailing in a diarrhea program in Nigeria. 1:1-1:12 - 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. 2:1-2:9 - 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. 3:1-3:12 - Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Robin Petering, Milind Tambe:
Using social networks to raise HIV awareness among homeless youth. 4:1-4:10 - 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. 5:1-5:12 - 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. 6:1-6:10 - Kien Pham, Prasanna Sattigeri, Amit Dhurandhar, A. C. Jacob, M. Vukovic, P. Chataigner, Juliana Freire, Aleksandra Mojsilovic, Kush R. Varshney:
Real-time understanding of humanitarian crises via targeted information retrieval. 7:1-7:12 - Wanita Sherchan, Shaila Pervin, Christopher J. Butler, Jennifer C. Lai, Lida Ghahremanloo, B. Han:
Harnessing Twitter and Instagram for disaster management. 8:1-8:12 - Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Dataflow representation of data analyses: Toward a platform for collaborative data science. 9:1-9:13 - Nicholas Bolten, S. Mukherjee, V. Sipeeva, A. Tanweer, Anat Caspi:
A pedestrian-centered data approach for equitable access to urban infrastructure environments. 10:1-10:12 - 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. 11:1-11:12 - Mattia Zeni, Komminist Weldemariam:
Extracting information from newspaper archives in Africa. 12:1-12:12
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