Publications
2023
Murzaku, John, Tyler Osborne, Amittai Aviram, and Owen Rambow. "Towards Generative Event Factuality Prediction." In Findings of the Association for Computational Linguistics: ACL 2023, pp. 701-715. 2023.
R. Pandey, J. Carter, J. Hill and G. Mohler. Rewiring police officer training networks to reduce forecasted use of force. Proceedings of 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD 2023).
Badirli, S., Picard, C. J., Mohler, G., Richert, F., Akata, Z., & Dundar, M. (2023). Classifying the unknown: Insect identification with deep hierarchical Bayesian learning. Methods in Ecology and Evolution.
Mohler, G., & Mateu, J. (2023). Second order preserving point process permutations. Stat, e558.
Piza, E. L., Hatten, D. N., Carter, J. G., Baughman, J. H., & Mohler, G. O. (2023). Gunshot Detection Technology Time Savings and Spatial Precision: An Exploratory Analysis in Kansas City. Policing: A Journal of Policy and Practice, 17.
Jimerson, R., Liu, Z., and Prud’hommeaux, E.. 2023. An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language. To appear in Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).
Liu, Z., Spence, J., and Prud’hommeaux, E.. 2023. Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation. In Proceedings of the Annual Meeting of the European Association for Computational Linguistics (EACL), 123–131.
2022
Chiang, W. H., & Mohler, G. (2022, December). Hawkes Process Multi-armed Bandits for Search and Rescue. In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 278-285). IEEE.
Khorshidi, S., Wang, B., & Mohler, G. (2022, December). Adversarial Attacks on Deep Temporal Point Process. In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 1-8). IEEE.
MacDonald, J., Mohler, G., & Brantingham, P. J. (2022). Association between race, shooting hot spots, and the surge in gun violence during the COVID-19 pandemic in Philadelphia, New York and Los Angeles. Preventive medicine, 165, 107241.
Brantingham, P. J., Mohler, G., & MacDonald, J. (2022). Changes in public–police cooperation following the murder of George Floyd. PNAS Nexus, 1(5).
Short, M. B., & Mohler, G. O. (2022). A fully Bayesian tracking algorithm for mitigating disparate prediction misclassification. International Journal of Forecasting.
Sledge, D., Thomas, H. F., Hoang, B. L., & Mohler, G. (2022). Impact of Medicaid, Race/Ethnicity, and Criminal Justice Referral on Opioid Use Disorder Treatment. The Journal of the American Academy of Psychiatry and the Law, JAAPL-210137.
Liu, D., Liu, Z., Yang, Q., Huang, Y., and Prud’hommeaux, E. 2022. Evaluating the Performance of Transformer-based Language Models for Neuroatypical Language. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 3412–3419.
Damiana, R., Homan, C., and Prud’hommeaux, E. 2022. Combining Simple but Novel Data Augmentation Methods for Improving Conformer ASR. In Proceedings of the Annual Conference of the International Speech Communication Association (Interspeech), 4890–489.
Liu, Z. and Prud’hommeaux, E. 2022. Data-driven model generalizability in crosslinguistic low-resource morphological segmentation. Transactions of the Association for Computational Linguistics (TACL) 10:393–413.
Bochner, J., Samar, V., Prud’hommeaux, E., and Huenerfauth, M. 2022. Phoneme Categorization in Prelingually Deaf Adult Cochlear Implant Users. Journal of Speech, Language, and Hearing Research 65(11):4429–4453
Liu, Z., Richardson, C., Hatcher, R. and Prud’hommeaux, E. 2022. Not always about you: Prioritizing community needs when developing endangered language technology. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 3933–3944
N. Bohan, M. Manzi and Mira Yun, Network2U: Cloud Business Templates, In Proc. of 202 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 0014-0018, Oct 2022D.
Coles, M. Peterson, S. Park and Mira Yun, RokuControl: Conducting MITM Attacks on Roku, In Proc. of 202 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 0440-0444, Oct 2022
2021
P. Putra*, K. Shima, S. A. Alvarez, and K. Shimatani. Identifying autism spectrum disorder symptoms using response and gaze behavior during the Go/NoGo game CatChicken, Scientific Reports, vol. 11, Nov. 2021. Full paper available at http://www.nature.com/articles/s41598-021-01050-7
S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez†. Capturing the development of internal representations in a high-performing deep network for sleep stage classification, SN Computer Science 2, 318 (2021)
Full paper available at http://doi.org/10.1007/s42979-021-00697-3
A. Beauchaine, O. Collins and Mira Yun, BotsideP2P: A Peer-to-Peer Botnet Testbed, In Proc. of 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 0236-0242, December 2021A.
Beauchaine, M. Macchiaroli and Mira Yun, iBoT: IoT Botnet Testbed, In Proc. of 2021 16th International Conference on Computer Science & Education (ICCSE), Lancaster, United Kingdom, pp. 822-827, August 2021
J. Park, Mira Yun, A. Jung and C. Wiseman, Undergraduate Coaches for Young Learners with Playful Computer Science, In Proc. of The 17th Int'l Conf on Frontiers in Education: Computer Science and Computer Engineering (FECS’21), July 2021
2020
S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Improved deep learning classification of human sleep stages, IEEE Computer-Based Medical Systems (CBMS 2020), Mayo Clinic, Rochester, MN, July 28-30, 2020
A. Moharrer, J. Gao, S. Wang, J. Bento, S. Ioannidis, Massively distributed graph distances, IEEE SIPN, 2020
G. França, J. Bento, Distributed optimization, averaging via ADMM, and network topology, IEEE Proc. Special Issue, 2020
Z. Zhu, D. Surujon, J. Ortiz-Marquez, S. Wood, W. Huo, R. Isberg, J. Bento, T. van Opijnen, Entropy of a bacterial stress response is a generalizable predictor for fitness and antibiotic sensitivity, Nature Communications, 2020
L. Mi, J. Bento, Multi-marginal optimal transport defines a generalized metric, 2020, [Video]
D. Surujon, J. Bento, T. van Opijnen, CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection, Scientific Reports, 2020
D. Surujon, J. Bento, T. van Opijnen, Boundary forest clustering: large-scale consensus clustering of biological sequences, 2020
2019
M. Sokolovsky*, F. Guerrero*, S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez. Deep learning for automated feature discovery and classification of sleep stages, IEEE / ACM Transactions on Computational Biology and Bioinformatics, online early access, Apr. 2019
doi:10.1109/TCBB.2019.2912955
J. Bento, S. Ioannidis, A Family of tractable graph distances, Applied Network Science, 2019
S. Ray, B. Jia, S. Safavi, T. van Opijnen, R. Isberg, J. Rosch, J. Bento, Exact inference under the perfect phylogeny model, 2019, [Code]
Muhammad Khan, Lewis Tseng and Nitin H. Vaidya. “Exact Byzantine Consensus on Arbitrary Directed Graphs under Local Broadcast Model,” The 23th International Conference on Principles of Distributed Systems, December 2019
Lewis Tseng, Zezhi Wang, Yajie Zhao. “Resilient Distributed Causal Memory in Client-Server Model,” IEEE 24th Pacific Rim International Symposium on Dependable Computing, December 2019
Lewis Tseng, Yingjian Wu, Haochen Pan, Moayad Aloqaily, Azzedine Boukerche. “Reliable Broadcast in Networks with Trusted Nodes,” IEEE Global Communications Conference, December 2019
Lewis Tseng. “Eventual Consensus: Applications to Storage and Blockchain,” 57th Annual Allerton Conference on Communication, Control, and Computing, September 2019
Haochen Pan, Yingjian Wu, Lewis Tseng, Muntasir Raihan Rahman, Nakjung Choi. “A First Step Towards Production-Ready Network Function Storage: Benchmarking with NFSB,” IEEE 40th Sarnoff Symposium, September 2019
Lewis Tseng, Zezhi Wang, Yajie Zhao, Haochen Pan. “Distributed Causal Memory in the Presence of Byzantine Servers,” IEEE 18th International Symposium on Network Computing and Applications, September 2019
Lewis Tseng, Juan Mantica, James DeAntonis, Takamasa Higuchi, Onur Altintas. “Peer-assisted Content Delivery Network by Vehicular Clouds: Algorithm and Evaluation,” Internet Technology Letter, 2019
Lewis Tseng, Liwen Wong: Work-In-Progress Paper: Towards a Sustainable Ecosystem of Intelligent Transportation Systems. PerCom 2019
Zezhi Wang, Yajie Zhao, Lewis Tseng, Takamasa Higuchi, Onur Altintas: A Distributed System for Reducing Uploaded Data Redundancy in Vehicular Networks. SmartEdge 2019 (workshop co-located with PerCom 2019)
2018
K. Ahmedul, C. Ruiz, and S. A. Alvarez. Mixed bagging: a novel ensemble learning framework for supervised classification based on instance hardness, short paper, IEEE International Conference on Data Mining (ICDM 2018), Singapore, Nov. 2018
S. Paisarnsrisomsuk, M. Sokolovsky, F. Guerrero, C. Ruiz, and S. A. Alvarez. Deep Sleep: convolutional neural networks for predictive modeling of human sleep time-signals, KDD 2018 Deep Learning Day, 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018
M. Sokolovsky*, F. Guerrero*, S. Paisarnsrisomsuk*, C. Ruiz, and S. A. Alvarez, Human expert-level automated sleep stage prediction and feature discovery by deep convolutional neural networks, full paper, BIOKDD 2018, in conjunction with the 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, Aug. 2018
L. Yang, J. Bento, J.-C. Lachance, and B. O. Palsson, Genome-scale estimation of cellular objectives, 2018
S. Safavi, J. Bento, n-metrics for multiple graph alignment, 2018
S. Safavi, J. Bento, Networks and large scale optimization, OSDC 2018 Tutorials
J. Bento, S. Ioannidis, A Family of tractable graph distances, SDM 2018 S. Safavi, B. Joshi, G. França, J. Bento, An explicit convergence rate for Nesterov's method from SDP, ISIT 2018
J. Bento, R. Furmaniak, S. Ray, On the complexity of the weighted fused Lasso, IEEE Letters in Signal Processing 2018
Vaidyanathan, P., Prud’hommeaux, E., Pelz, J., and Alm, C.O. 2018. SNAG: Spoken Narratives and Gaze Dataset. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 132–137.
Meyers, B., Munaiah, N., Prud’hommeaux, E., Meneely, A., Wolff, J., Alm, C.O., and Murukannaiah, P. 2018. A dataset for identifying actionable feedback in collaborative software development. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 126–131.
Jimerson, R. and Prud’hommeaux, E. 2018. ASR for documenting acutely under-resourced indigenous languages. To appear in the Proceedings of the 2018 Language Resources and Evaluation Conference (LREC).
H. Straubing, ‘First-order logic and aperiodic languages: a revisionist history’ ACM SIGLOG News 5:3 4-20 (2018).
M. Hahn, A. Krebs and H. Straubing, ‘Wreath products of distributed forest algebras’, 33rd Annual IEEE Symposium on Logic in Computer Science (LICS 2018), 512-520 (2018).
A. Krebs, K. Lodaya, P. Pandya and H. Straubing, ‘An algebraic decision procedure for two-variable logic with a between relation’, 27th EACSL Annual Conference on Computer Science Logic (CSL 2018), 28:1-28:17, (2018).
Lewis Tseng, James DeAntonis*, Takamasa Higuchi, Onur Altintas: Peer-Assisted Content Delivery Network by Vehicular Micro Clouds. CloudNet 2018: 1-3
Dimitris Sakavalas, Lewis Tseng: Delivery Delay and Mobile Faults. NCA 2018: 1-8
Guo-Shu (Sean) Gau, Zezhi Wang*, Lewis Tseng, Kishori M. Konwar: Benchmarking the Performance of ABD Algorithm. SCNDS 2018 (co-located with DISC 2018).
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya: Effects of Topology Knowledge and Relay Depth on Asynchronous Approximate Consensus. OPODIS 2018: 14:1-14:16
Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya: Brief Announcement: Effects of Topology Knowledge and Relay Depth on Asynchronous Consensus. DISC 2018: 51:1-51:4
2017
C. Wang*, S.A. Alvarez, C. Ruiz, and M. Moonis (2017). Modeling and Clustering of Human Sleep Time Series using Dynamic Time Warping: Sequential and Distributed Implementations. In Biomedical Engineering Systems and Technologies, Ninth International Joint Conference, BIOSTEC 2016, Rome, Italy, February 2016, Revised Selected Papers (A. Fred and H. Gamboa, eds.), Communications in Computer and Information Science, Volume 690, Springer, 2017. ISBN: 978-3-319-54716-9
A. Kabir*, C. Ruiz, S.A. Alvarez, and M. Moonis. Predicting outcome of ischemic stroke patients using bootstrap aggregating with M5 model trees, full paper, Proc. Tenth International Conference on Health Informatics (HEALTHINF 2017), Porto, Portugal, Feb. 21-23, 2017
G. França, J. Bento, How is distributed ADMM affected by network topology?, 2017
J. J. Zhu, J Bento, Generative adversarial active learning, NIPS 2017 Workshops and GPU Tech Conference 2017
G. França, J. Bento, Markov chain lifting and distributed ADMM , IEEE Letters in Signal Processing 2017
V. Montazerhodjat, S.E. Chaudhuri, D.J. Sargent, and A.W. Lo, “Use of Bayesian decision analysis to minimize harm in patient-centered randomized clinical trials in oncology,” JAMA Oncology, Apr. 2017, DOI: 10.1001/jamaoncol.2017.0123.
Prud’hommeaux, E., van Santen, J., and Gliner, D. 2017. Vector space models for evaluating semantic fluency in autism. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), 32–37.
Alm, C.O., Meyers, B.S., Prud’hommeaux, E. 2017. An Analysis and Visualization Tool for Case Study Learning of Linguistic Concepts. In Proceedings of the Conference on Empirical Methods in Natural Language Processing Demo Session (EMNLP), 13–18.
Andreas Krebs and Howard Straubing, An effective characterization of the alternation hierarchy in two-variable logic, ACM Transactions on Computational Logic 18(4), (2017).
When Cars Meet Distributed Computing: Data Storage as an Example, Lewis Tseng, Takamasa Higuchi, and Onur Altintas SCNDS 2017: 1st Workshop on Storage, Control, Networking in Dynamic Systems, November 2017
An Improved Approximate Consensus Algorithm in the Presence of Mobile Faults
Lewis Tseng SSS 2017: International Symposium on Stabilization, Safety, and Security of Distributed Systems, November 2017
Towards Reliable Broadcast in Practical Sensor Networks
Lewis Tseng NCA 2017: IEEE International Symposium on Network Computing and Applications, October 2017
2016
T. van Opijnen, S. Dedrick, J. Bento (2016). Strain Dependent Genetic Networks for Antibiotic-Sensitivity in a Bacterial Pathogen with a Large Pan-Genome. PLoS Pathogens 12(9): e1005869. doi:10.1371/journal.ppat.1005869
N. Hao, A. Oghbaee, M. Rostami, N. Derbinsky, J. Bento. Testing fine-grained parallelism for the ADMM on a factor-graph. Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 835-844 (2016)
G. Franca, J. Bento. An Explicit Rate Bound for the Over-Relaxed ADMM. 2016 IEEE International Symposium on Information Theory, July 10-15, 2016, Barcelona, Spain
C. Wang, S. A. Alvarez, C. Ruiz, and M. Moonis. Deviation-based dynamic time warping for clustering human sleep, Proc. Ninth International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2016), in conjunction with the Ninth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), Rome, Italy, Feb. 21-23, 2016
Yuxiang Ye, Yijuan Lu, Hao Jiang
Human's Scene Sketch Understanding
ACM on International Conference on Multimedia Retrieval 2016 (ICMR'16)
Ernesto Brau, Hao Jiang
A Bayesian Part-based Approach to 3D Human Pose and Camera Estimation
ICPR'16
Andreas Krebs, Kamal Lodaya, Paritosh Pandya and Howard Straubing, Two-variable logic with a between relation, LICS 2016.
V. Montazerhodjat, D.M. Weinstock, and A.W. Lo, “Buying cures versus renting health: financing health care with consumer loans,” Science Translational Medicine, 2016;8:327ps6, DOI: 10.1126/scitranslmed.aad6913.
V. Montazerhodjat, J.J. Frishkopf, and A.W. Lo, “Financing drug discovery via dynamic leverage,” Drug Discovery Today, 2016;21:410–414, DOI: 10.1016/j.drudis.2015.12.004.
Vaidyanathan, P., Pelz, J., Prud’hommeaux, E., Alm, C., Haake, A. 2016. Fusing eye movements and observer narratives for expert-driven image-region annotations. In Proceedings of the ACM Symposium on Eye-Tracking Research and Applications (ETRA), 27–34.
2015
S. A. Alvarez, E. Winner, A. Hawley-Dolan, L. Snapper*. What gaze fixation and pupil dilation can tell us about perceived differences between abstract art by artists vs. by children and animals, Perception, 44(11): 1310-1331 (Nov. 2015), doi:10.1177/0301006615596899
A. Kabir, C. Ruiz, S. A. Alvarez, and M. Moonis. Model-based clustering of ischemic stroke patients, full paper, Proc. Eighth International Conference on Health Informatics (HEALTHINF 2015), in conjunction with the Eighth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2015), Lisbon, Portugal, Jan. 12-15, 2015
J. Bento, N. Derbinsky, C. Mathy, J. Yedidia,
Proximal operators for multi-agent path planning",
Proceedings of the 29th National Conference on Artificial Intelligence (AAAI), 2015.
C. Mathy, N. Derbinsky, J. Bento, J. Yedidia,
The boundary forest algorithm for online supervised and unsupervised learning", Proceedings of the 29th National Conference on Artificial Intelligence
(AAAI), 2015.
Hao Jiang, Tai-Peng Tian and Stan Sclaroff,
Scale and Rotation Invariant Matching Using Linearly Augmented Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 12, December 2015.
Hao Jiang
Matching Bags of Regions in RGBD images
IEEE Conference on Computer Vision and Pattern Recognition 2015 (CVPR'15).
Edward Sciore
Understanding APEX 5 Application Development. Apress Publishers, July 2015
Andreas Krebs and Howard Straubing, EF+EX forest algebras, in A. Maletti (ed.), Algebraic Informatics, Springer Lecture Notes in Computer Science 9270, 128-139 (2015)
Howard Straubing, A new proof of the locality of R. International Journal of Algebra and Computation 25 (1-2), 293-300 (2015)
Prud’hommeaux, E. and Roark, B. 2015. Graph-based word alignment for clinical language evaluation. Computational Linguistics, 41(4):549–578.
2014
Biomedical Engineering Systems and Technologies, 6th International Joint Conference, BIOSTEC 2013, Barcelona, Spain, February 11-14, 2013, Revised Selected Papers Fernández Chimeno, M., Fernandes, P.L., Alvarez, S., Stacey, D., Solé-Casals, J., Fred, A., Gamboa, H. (Eds.) Communications in Computer and Information Science, Vol. 452 Springer, 2014, 409 p. 179 illus. ISBN 978-3-662-44484-9
C. Wang, Alvarez, S., C. Ruiz, and M. Moonis. "Semi-Markov modeling-clustering of human sleep with efficient initialization and stopping'', full paper, Proc. Seventh International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2014), in conjunction with the Seventh International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2014), Angers, France, Mar. 3-6, 2014
2013
H. Straubing, "New applications of the wreath product of forest algebras," RAIRO - Theoretical Informatics and Applications 47(3), 261 - 291 (2013)
C. Wang, S. A. Alvarez, C. Ruiz, and M. Moonis. "Computational Modeling of Sleep Stage Dynamics using Weibull semi-Markov Chains'", full paper, Proc. Sixth International Conference on Health Informatics (HEALTHINF 2013), in conjunction with the Sixth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2013), Barcelona, Catalunya, Spain, Feb. 11-14, 2013
S. A. Alvarez and C. Ruiz. "Collective Probabilistic Dynamical Modeling of Sleep Stage Transitions'', short paper, Proc. Sixth International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2013), in conjunction with the Sixth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2013), Barcelona, Catalunya, Spain, Feb. 11-14, 2013
A. Khasawneh*, S. A. Alvarez, C. Ruiz, S. Misra*, and M. Moonis. "Similarity Grouping of Human Sleep Recordings using EEG and ECG'', in Biomedical Engineering Systems and Technologies, Fourth International Joint Conference, BIOSTEC 2011, Rome, Italy, January 2011, Revised Selected Papers (A. Fred, J. Filipe and H. Gamboa, eds.), Communications in Computer and Information Science, Volume 273, Springer, 2013. ISBN: 978-3-642-29751-9
2012
A. Krebs and H. Straubing, "An effective characterization of the alternation hierarchy in two-variable logic", FSTTCS 2012: 86-98
M. Bojanczyk, H. Straubing, and I. Walukiewicz, "Wreath prodcucts of forest algebras, with applications to tree logics," Logical Methods in Computer Science 8 (3:19), 38pp. (2012). (An extended abstract was published in Proc. 24th IEEE Symposium on Logic in Computer Science (LICS) (2009) 255-263.)
M. Bojanczyk, L. Segoufin and H. Straubing, "Piecewise testable forest languages", Logical Methods in Computer Science 8 (3:26), 32pp. (2012). (An extended abstract was published in Proc. 23rd IEEE Symposium on Logic in Computer Science (LICS) (2008) 442-451.)
F. W. Usher, C. Wang, S. A. Alvarez, C. Ruiz, and M. Moonis. "Machine Learning of Human Sleep Patterns based on Stage Bout Durations'', full paper, Proc. Fifth International Conference on Health Informatics (HEALTHINF 2012), in conjunction with the Fifth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2012), Vilamoura, Algarve, Portugal, Feb. 1-4, 2012 to appear.
Howard Straubing and Pascal Weil. An introduction to finite automata and their connection to logic, in Modern applications of automata theory (D. D'Souza, Priti Shankar eds), IISc Research Monographs 2, World Scientific (2012), pp. 3-43.
Hao Jiang, "Linear Solution to Scale Invariant Global Figure Ground Separation", IEEE Conference on Computer Vision and Pattern Recognition 2012 (CVPR'12).
Hao Jiang, Tai-Peng Tian, Kun He and Stan Sclaroff, "Scale Resilient, Rotation Invariant Articulated Object Matching", IEEE Conference on Computer Vision and Pattern Recognition 2012 (CVPR'12).
A. Kirmani, H. Jeelani, V. Montazerhodjat, and V.K. Goyal, “Diffuse imaging: Creating optical images with unfocused time-resolved illumination and sensing,” IEEE Signal Processing Letters 2012;19(1):31–34.
A. Amini, V. Montazerhodjat, and F. Marvasti, “Matrices with small coherence using p-ary block codes,” IEEE Transactions on Signal Processing 2012;60(1):172–181.
2011
E. Sciore and A. Rosenthal. "View and Content-Based Security", invited article, in Encyclopedia of Computer Security (second edition), Springer-Verlag, 2011, 249-253.
S. A. Alvarez, C. Ruiz, T. Kawato, W. Kogel. "Neural Expert Networks for Faster Combined Collaborative and Content-Based Recommendation", Journal of Computational Methods in Sciences and Engineering, vol 11, no 4, Sept. 2011, 161-172 DOI: 10.3233/JCM-2011-0360.
S. Floyd, C. Ruiz, S. A. Alvarez, J. Tseng, and G. Whalen. "Prediction of Pancreatic Cancer Survival through Automated Selection of Predictive Models", in A. Fred, J. Filipe and H. Gamboa (eds.), Biomedical Engineering Systems and Technologies, revised selected papers, BIOSTEC 2010, Valencia, Spain, Communications in Computer and Information Science, Volume 127, Springer, 2011, 29-43, ISBN: 978-3-642-18471-0.
A. Khasawneh, S. A. Alvarez, C. Ruiz, S. Misra, and M. Moonis. "EEG and ECG Characteristics of Human Sleep Composition Types", full paper (acceptance rate: 48/538 = 8.9%), Proc. Fourth International Conference on Health Informatics (HEALTHINF 2011), in conjunction with the Fourth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2011), Rome, Italy, Jan. 26-29, 2011, 97-106.
Howard Straubing, Algebraic Characerization of the Alternation Hierarchy in FO2[<] on Finite Words, in Computer Science Logic 2011, LIPIcs 12 (2011) 525-537.
Hao Jiang, "Human Pose Estimation Using Consistent Max-Covering", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 9, 2011.
Hao Jiang, Stella X. Yu and David R. Martin, "Linear Scale and Rotation Invariant Matching", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 7, 2011.