Publications
This section contains publications published by ISI over the past several decades.
2018
GeoChronR development repository
NP McKay, J Emile-Geay, C Heiser, D Khider
Interactive Diversity Optimization of Environments
Glen Berseth, Mahyar Khayatkhoei, Brandon Haworth, Muhammad Usman, Mubbasir Kapadia, Petros Faloutsos
arXiv preprint arXiv:1801.08607, 2018
Disconnected manifold learning for generative adversarial networks
Mahyar Khayatkhoei, Ahmed Elgammal, Maneesh Singh
Advances in Neural Information Processing Systems 31, 7354--7364, 2018
Neuroanatomical morphometric characterization of sex differences in youth using statistical learning
Farshid Sepehrband, Kirsten M Lynch, Ryan P Cabeen, Clio Gonzalez-Zacarias, Lu Zhao, Mike D'Arcy, Carl Kesselman, Megan M Herting, Ivo D Dinov, Arthur W Toga, Kristi A Clark
Neuroimage 172, 217-227, 2018
BDQC: a general-purpose analytics tool for domain-blind validation of Big Data
Eric W Deutsch, Roger Kramer, Joseph Ames, Andrew Bauman, David S Campbell, Kyle Chard, Kristi Clark, Mike D’Arcy, Ivo D Dinov, Rory Donovan, Ian Foster, Benjamin D Heavner, Leroy E Hood, Carl Kesselman, Ravi Madduri, Huaiyu Mi, Anushya Muruganujan, Judy Pa, Nathan D Price, Max Robinson, Farshid Sepehrband, Arthur W Toga, John Van Horn, Lu Zhao, Gustavo Glusman
bioRxiv, 258822, 2018
Quantum-limited discrimination between laser light and noise
Jonathan L Habif, Saikat Guha
Laser Science, LM1B. 2, 2018
Crowd-machine collaboration for item screening
Evgeny Krivosheev, Bahareh Harandizadeh, Fabio Casati, Boualem Benatallah
Companion Proceedings of the The Web Conference 2018, 95-96, 2018
Universal principles governing multiple random searchers on complex networks: The logarithmic growth pattern and the harmonic law
Tongfeng Weng, Jie Zhang, Michael Small, Bahareh Harandizadeh, Pan Hui
Physical Review E 97 (3), 032320, 2018
Sensemaking Research Roadmap
KP Subbalakshmi, Aram Galstyan, Rama Chellappa, Charles Clancy
Stevens Institute of Technology Hoboken, 2018
Highly accurate link prediction in networks using stacked generalization
Amir Ghasemian, AG Galstyan, Aaron Clauset
WSDM, 2018
Adaptive decision making via entropy minimization
Armen E Allahverdyan, Aram Galstyan, Ali E Abbas, Zbigniew R Struzik
International Journal of Approximate Reasoning 103, 270-287, 2018
Uncovering biologically coherent peripheral signatures of health and risk for Alzheimer’s disease in the aging brain
Brandalyn C Riedel, Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Lauren E Salminen, Aram Galstyan, Paul M Thompson, Alzheimer’s Disease Neuroimaging Initiative
Frontiers in aging neuroscience 10, 390, 2018
Dialogue modeling via hash functions
Sahil Garg, Guillermo Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan
Linguistic and Cognitive Approaches To Dialog Agents Workshop, 2018
Invariant representations without adversarial training
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Advances in Neural Information Processing Systems (NeurIPS), 2018
A Forest Mixture Bound for Block-Free Parallel Inference
Neal Lawton, Aram Galstyan, Greg Ver Steeg
Uncertainty in Artificial Intelligence (UAI), 2018
Modeling psychotherapy dialogues with kernelized hashcode representations: A nonparametric information-theoretic approach
Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1804.10188, 2018
Stochastic learning of nonstationary kernels for natural language modeling
Sahil Garg, Greg Ver Steeg, Aram Galstyan
arXiv preprint arXiv:1801.03911, 2018
GAIA-A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.
Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A Szekely, TK Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E Rodríguez, Daisy Zhe Wang
TAC, 2018
Events beyond ace: Curated training for events
Ryan Gabbard, Jay DeYoung, Marjorie Freedman
arXiv preprint arXiv:1809.05576, 2018
Combining rule-based and statistical mechanisms for low-resource named entity recognition
Ryan Gabbard, Jay DeYoung, Constantine Lignos, Marjorie Freedman, Ralph Weischedel
Machine translation 32, 31-43, 2018