Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJohn F. Canny
Person information
- affiliation: University of California, Berkeley, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c180]Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-Supervised Learning. WACV 2023: 2749-2757- [i41]David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
IC3: Image Captioning by Committee Consensus. CoRR abs/2302.01328 (2023) - 2022
- [c179]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 2022: 390-406 - [c178]David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny:
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CVPR Workshops 2022: 4739-4748 - [c177]Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst:
NewsPod: Automatic and Interactive News Podcasts. IUI 2022: 691-706 - [c176]Kehan Wang, Seth Z. Zhao, David Chan, Avideh Zakhor, John F. Canny:
Multimodal Semantic Mismatch Detection in Social Media Posts. MMSP 2022: 1-6 - [i40]Philippe Laban, Elicia Ye, Srujay Korlakunta, John F. Canny, Marti A. Hearst:
NewsPod: Automatic and Interactive News Podcasts. CoRR abs/2202.07146 (2022) - [i39]Kehan Wang, David Chan, Seth Z. Zhao, John F. Canny, Avideh Zakhor:
Misinformation Detection in Social Media Video Posts. CoRR abs/2202.07706 (2022) - [i38]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR abs/2202.10430 (2022) - [i37]David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny:
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CoRR abs/2205.06253 (2022) - [i36]Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Bryanna Kaufmann, Sandy Han Huang, Jessica B. Hamrick, John F. Canny, Nan Rosemary Ke, Alison Gopnik:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR abs/2206.08353 (2022) - [i35]Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-supervised Learning. CoRR abs/2207.03552 (2022) - [i34]Sumanth Gurram, Andy Fang, David Chan, John F. Canny:
LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training. CoRR abs/2207.08024 (2022) - [i33]David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny:
Distribution Aware Metrics for Conditional Natural Language Generation. CoRR abs/2209.07518 (2022) - 2021
- [c175]Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives:
MSA Transformer. ICML 2021: 8844-8856 - [c174]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. NeurIPS 2021: 19538-19552 - [i32]Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst:
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. CoRR abs/2105.05361 (2021) - [i31]Philippe Laban, John F. Canny, Marti A. Hearst:
What's The Latest? A Question-driven News Chatbot. CoRR abs/2105.05392 (2021) - [i30]Daniel Seita, Abhinav Gopal, Mandi Zhao, John F. Canny:
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning. CoRR abs/2109.07380 (2021) - [i29]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. CoRR abs/2109.12909 (2021) - [i28]Forrest Huang, Gang Li, Xin Zhou, John F. Canny, Yang Li:
Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models. CoRR abs/2110.07775 (2021) - [i27]Forrest Huang, Eldon Schoop, David Ha, Jeffrey Nichols, John F. Canny:
Sketch-based Creativity Support Tools using Deep Learning. CoRR abs/2111.09991 (2021) - 2020
- [c173]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) 2020: 443-459 - [c172]Philippe Laban, John F. Canny, Marti A. Hearst:
What's The Latest? A Question-driven News Chatbot. ACL (demo) 2020: 380-387 - [c171]Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst:
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. ACL 2020: 5135-5150 - [c170]Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny:
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. CVPR 2020: 9658-9667 - [c169]Stephanie C. Y. Chan, Samuel Fishman, Anoop Korattikara, John F. Canny, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. ICLR 2020 - [c168]Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg:
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. IROS 2020: 9651-9658 - [c167]Forrest Huang, Eldon Schoop, David Ha, John F. Canny:
Scones: towards conversational authoring of sketches. IUI 2020: 313-323 - [c166]Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. NeurIPS 2020 - [c165]Ye Xia, Jinkyu Kim
, John F. Canny, Karl Zipser, Teresa Canas-Bajo, David Whitney:
Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention. WACV 2020: 1756-1764 - [i26]Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny:
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR abs/2005.02880 (2020) - [i25]Forrest Huang, Eldon Schoop, David Ha, John F. Canny:
Scones: Towards Conversational Authoring of Sketches. CoRR abs/2005.07781 (2020) - [i24]Bofan Xue, David M. Chan, John F. Canny:
A Dataset and Benchmarks for Multimedia Social Analysis. CoRR abs/2006.08335 (2020) - [i23]Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. CoRR abs/2007.12401 (2020) - [i22]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR abs/2007.13913 (2020)
2010 – 2019
- 2019
- [j44]David M. Chan, Roshan Rao, Forrest Huang, John F. Canny:
GPU accelerated t-distributed stochastic neighbor embedding. J. Parallel Distributed Comput. 131: 1-13 (2019) - [c164]Forrest Huang, John F. Canny, Jeffrey Nichols:
Swire: Sketch-based User Interface Retrieval. CHI 2019: 104 - [c163]Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny:
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles. CVPR 2019: 10591-10599 - [c162]Xinlei Pan, Xiangyu Chen, Qi-Zhi Cai, John F. Canny, Fisher Yu:
Semantic Predictive Control for Explainable and Efficient Policy Learning. ICRA 2019: 3203-3209 - [c161]Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. ICRA 2019: 8522-8528 - [c160]Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg:
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR 2019: 275-290 - [c159]Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song:
Evaluating Protein Transfer Learning with TAPE. NeurIPS 2019: 9686-9698 - [c158]Forrest Huang, John F. Canny:
Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications. UIST 2019: 209-220 - [i21]Ye Xia, Jinkyu Kim, John F. Canny, Karl Zipser, David Whitney:
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention. CoRR abs/1903.09950 (2019) - [i20]Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. CoRR abs/1904.00511 (2019) - [i19]Forrest Huang, John F. Canny:
Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications. CoRR abs/1904.04399 (2019) - [i18]Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song:
Evaluating Protein Transfer Learning with TAPE. CoRR abs/1906.08230 (2019) - [i17]Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg:
Deep Imitation Learning of Sequential Fabric Smoothing Policies. CoRR abs/1910.04854 (2019) - [i16]Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny:
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations. CoRR abs/1910.12154 (2019) - [i15]Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny:
Grounding Human-to-Vehicle Advice for Self-driving Vehicles. CoRR abs/1911.06978 (2019) - [i14]Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. CoRR abs/1912.05663 (2019) - 2018
- [c157]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. ECCV (2) 2018: 577-593 - [c156]Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg:
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. ICRA 2018: 6651-6658 - [c155]Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. IJCAI 2018: 5359-5363 - [c154]Jinkyu Kim, Hyunggi Cho, Myung Hwangbo, Jaehyung Choi, John F. Canny, Youngwook Paul Kwon:
Deep Traffic Light Detection for Self-driving Cars from a Large-scale Dataset. ITSC 2018: 280-285 - [c153]David M. Chan, Roshan Rao, Forrest Huang, John F. Canny:
T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data. SBAC-PAD 2018: 330-338 - [i13]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. CoRR abs/1807.11546 (2018) - [i12]David M. Chan, Roshan Rao, Forrest Huang, John F. Canny:
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data. CoRR abs/1807.11824 (2018) - [i11]Xinlei Pan, Sung-Li Chiang, John F. Canny:
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data. CoRR abs/1808.08603 (2018) - [i10]Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg:
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR abs/1809.09810 (2018) - [i9]Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny:
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics. CoRR abs/1812.04604 (2018) - 2017
- [c152]Pablo Paredes, Vasilis Oikonomou, Rocio Francesca Guerrero, Terrie Yang, Pierre Karashchuk, Biye Jiang, James A. Landay, Coye Cheshire, John F. Canny:
INQUIRE Tool: Early Insight Discovery for Qualitative Research. CSCW Companion 2017: 29-32 - [c151]Pablo Paredes, Ana Sofia Rufino Ferreira, Cory Schillaci, Gene Ryan Yoo, Pierre Karashchuk, Dennis Xing, Coye Cheshire, John F. Canny:
Inquire: Large-scale Early Insight Discovery for Qualitative Research. CSCW 2017: 1562-1575 - [c150]Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General Models for Rational Cameras and the Case of Two-Slit Projections. CVPR 2017: 2520-2528 - [c149]Jinkyu Kim, John F. Canny:
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention. ICCV 2017: 2961-2969 - [c148]Biye Jiang, John F. Canny:
Interactive Machine Learning via a GPU-accelerated Toolkit. IUI 2017: 535-546 - [c147]Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. UAI 2017 - [i8]Jinkyu Kim, John F. Canny:
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention. CoRR abs/1703.10631 (2017) - [i7]Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg:
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. CoRR abs/1709.06668 (2017) - 2016
- [c146]Pablo Paredes, Ryuka Ko, Eduardo Calle-Ortiz, John F. Canny, Björn Hartmann, Greg Niemeyer:
Fiat-Lux: Interactive Urban Lights for Combining Positive Emotion and Efficiency. Conference on Designing Interactive Systems 2016: 785-795 - [c145]Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg:
Large-scale supervised learning of the grasp robustness of surface patch pairs. SIMPAR 2016: 216-223 - [i6]Haoyu Chen, Daniel Seita, Xinlei Pan, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. CoRR abs/1610.06848 (2016) - [i5]Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General models for rational cameras and the case of two-slit projections. CoRR abs/1612.01160 (2016) - 2015
- [c144]Pablo Paredes, Ryuka Ko, Arezu Aghaseyedjavadi, John Chuang, John F. Canny, Linda Babler:
Synestouch: Haptic + audio affective design for wearable devices. ACII 2015: 595-601 - [c143]John F. Canny, Huasha Zhao, Bobby Jaros, Ye Chen, Jiangchang Mao:
Machine learning at the limit. IEEE BigData 2015: 233-242 - [c142]Teng Han, Xiang Xiao, Lanfei Shi, John F. Canny, Jingtao Wang:
Balancing Accuracy and Fun: Designing Camera Based Mobile Games for Implicit Heart Rate Monitoring. CHI 2015: 847-856 - [c141]Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros:
SAME but Different: Fast and High Quality Gibbs Parameter Estimation. KDD 2015: 1495-1502 - [i4]Daniel Seita, Haoyu Chen, John F. Canny:
Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks. CoRR abs/1511.06416 (2015) - 2014
- [j43]Cecilia Mascolo, Eric Paulos, John F. Canny:
Pervasive Analytics and Citizen Science [Guest editors' introduction]. IEEE Pervasive Comput. 13(2): 18-19 (2014) - [c140]David Sun, Pablo Paredes, John F. Canny:
MouStress: detecting stress from mouse motion. CHI 2014: 61-70 - [c139]Teng Han, Lanfei Shi, Xiang Xiao, John F. Canny, Jingtao Wang:
Designing engaging camera based mobile games for implicit heart rate monitoring. CHI Extended Abstracts 2014: 1675-1680 - [c138]Anuj Tewari, John F. Canny:
What did spot hide?: a question-answering game for preschool children. CHI 2014: 1807-1816 - [c137]Huasha Zhao, Ye Chen, John F. Canny, Tak W. Yan:
Query Augmentation based Intent Matching in Retail Vertical Ads. CIKM 2014: 619-628 - [c136]Huasha Zhao, John F. Canny:
Kylix: A Sparse Allreduce for Commodity Clusters. ICPP 2014: 273-282 - [c135]Stephanie Rogers, Steven Tang, John F. Canny:
ACCE: automatic coding composition evaluator. L@S 2014: 191-192 - [c134]Huasha Zhao, Wei Vivian Zhang, Ye Chen, John F. Canny, Tak W. Yan:
Query augmentation based intent matching in retail vertical ads. WWW (Companion Volume) 2014: 419-420 - [p3]Yitao Duan, John F. Canny:
Practical Distributed Privacy-Preserving Data Analysis at Large Scale. Large-Scale Data Analytics 2014: 219-252 - [i3]Anuj Tewari, Nitesh Goyal, Matthew K. Chan, Tina Yau, John F. Canny, Ulrik Schroeder:
SPRING: speech and pronunciation improvement through games, for Hispanic children. CoRR abs/1401.7735 (2014) - [i2]Huasha Zhao, Biye Jiang, John F. Canny:
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation. CoRR abs/1409.5402 (2014) - 2013
- [j42]Albert Ali Salah, Bruno Lepri, Alex Pentland, John F. Canny:
Understanding and Changing Behavior [Guest editors' introduction]. IEEE Pervasive Comput. 12(3): 18-20 (2013) - [c133]John F. Canny, David Hall, Dan Klein:
A Multi-Teraflop Constituency Parser using GPUs. EMNLP 2013: 1898-1907 - [c132]Anuj Tewari, Timothy Brown, John F. Canny:
A Question-answering Agent Using Speech Driven Non-linear Machinima. IVA 2013: 129-138 - [c131]John F. Canny, Huasha Zhao:
Big data analytics with small footprint: squaring the cloud. KDD 2013: 95-103 - [c130]Pablo Paredes, David Sun, John F. Canny:
Sensor-less sensing for affective computing and stress management technology. PervasiveHealth 2013: 459-463 - [c129]John F. Canny, Huasha Zhao:
Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters. SDM 2013: 785-793 - [e2]Friedemann Mattern, Silvia Santini, John F. Canny, Marc Langheinrich, Jun Rekimoto:
The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13, Zurich, Switzerland, September 8-12, 2013. ACM 2013, ISBN 978-1-4503-1770-2 [contents] - [e1]Friedemann Mattern, Silvia Santini, John F. Canny, Marc Langheinrich, Jun Rekimoto:
The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13, Zurich, Switzerland, September 8-12, 2013 - Adjunct Publication. ACM 2013, ISBN 978-1-4503-2215-7 [contents] - [i1]Huasha Zhao, John F. Canny:
Sparse Allreduce: Efficient Scalable Communication for Power-Law Data. CoRR abs/1312.3020 (2013) - 2012
- [c128]David Sun, John F. Canny:
A high accuracy, low-latency, scalable microphone-array system for conversation analysis. UbiComp 2012: 290-300 - [c127]Anuj Tewari, Ingrid Liu, Carrie Cai, John F. Canny:
An Analysis of the Dialogic Complexities in Designing a Question/Answering Based Conversational Agent for Preschoolers. IVA 2012: 36-45 - 2011
- [c126]Keng-hao Chang, Drew Fisher, John F. Canny, Björn Hartmann:
How's my mood and stress?: an efficient speech analysis library for unobtrusive monitoring on mobile phones. BODYNETS 2011: 71-77 - [c125]Keng-hao Chang, Matthew K. Chan, John F. Canny:
AnalyzeThis: unobtrusive mental health monitoring by voice. CHI Extended Abstracts 2011: 1951-1956 - [c124]Keng-hao Chang, Howard Lei, John F. Canny:
Improved Classification of Speaking Styles for Mental Health Monitoring Using Phoneme Dynamics. INTERSPEECH 2011: 85-88 - [c123]Ye Chen, John F. Canny:
Recommending ephemeral items at web scale. SIGIR 2011: 1013-1022 - 2010
- [j41]John F. Canny, Jason I. Hong:
Guest Editors' Introduction: Connected Youth. IEEE Pervasive Comput. 9(3): 10-11 (2010) - [j40]Ye Chen, Dmitry Pavlov, John F. Canny:
Behavioral Targeting: The Art of Scaling Up Simple Algorithms. ACM Trans. Knowl. Discov. Data 4(4): 17:1-17:31 (2010) - [c122]Jingtao Wang, Shumin Zhai, John F. Canny:
SHRIMP: solving collision and out of vocabulary problems in mobile predictive input with motion gesture. CHI 2010: 15-24 - [c121]Anuj Kumar, Anuj Tewari, Geeta Shroff, Deepti Chittamuru, Matthew Kam, John F. Canny:
An exploratory study of unsupervised mobile learning in rural India. CHI 2010: 743-752 - [c120]Feng Tian, Fei Lv, Jingtao Wang, Hongan Wang, Wencan Luo, Matthew Kam, Vidya Setlur, Guozhong Dai, John F. Canny:
Let's play chinese characters: mobile learning approaches via culturally inspired group games. CHI 2010: 1603-1612 - [c119]Divya Ramachandran, John F. Canny, Prabhu Dutta Das, Edward Cutrell:
Mobile-izing health workers in rural India. CHI 2010: 1889-1898 - [c118]Divya Ramachandran, Vivek Goswami, John F. Canny:
Research and reality: using mobile messages to promote maternal health in rural India. ICTD 2010: 35:1-35:10 - [c117]Anuj Tewari, Nitesh Goyal, Matthew K. Chan, Tina Yau, John F. Canny, Ulrik Schroeder:
SPRING: speech and pronunciation improvement through games, for Hispanic children. ICTD 2010: 47:1-47:11 - [c116]Yitao Duan, NetEase Youdao, John F. Canny, Justin Z. Zhan:
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users. USENIX Security Symposium 2010: 207-222 - [c115]Reza Naima, John F. Canny:
The Berkeley Tricorder: wireless health monitoring. Wireless Health 2010: 212-213
2000 – 2009
- 2009
- [j39]Yitao Duan, John F. Canny:
How to deal with malicious users in privacy-preserving distributed data mining. Stat. Anal. Data Min. 2(1): 18-33 (2009) - [c114]Reza Naima, John F. Canny:
The Berkeley Tricorder: Ambulatory Health Monitoring. BSN 2009: 53-58 - [c113]Matthew Kam, Akhil Mathur, Anuj Kumar, John F. Canny:
Designing digital games for rural children: a study of traditional village games in India. CHI 2009: 31-40 - [c112]David T. Nguyen, John F. Canny:
More than face-to-face: empathy effects of video framing. CHI 2009: 423-432 - [c111]Matthew Kam, Anuj Kumar, Shirley Jain, Akhil Mathur, John F. Canny:
Improving literacy in rural India: cellphone games in an after-school program. ICTD 2009: 139-149 - [c110]Ana Ramírez Chang, John F. Canny:
Illuminac: simultaneous naming and configuration for workspace lighting control. IUI 2009: 413-418 - [c109]Ye Chen, Dmitry Pavlov, John F. Canny:
Large-scale behavioral targeting. KDD 2009: 209-218 - [c108]