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Joseph Johnson
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2020 – today
- 2024
- [j5]Joseph Johnson, Christophe G. Giraud-Carrier:
GT-CHES: Graph transformation for classification in human evolutionary systems. Intell. Data Anal. 28(3): 699-715 (2024) - [j4]Joseph Johnson, Christophe G. Giraud-Carrier, Bradley Hatch:
Improved learning in human evolutionary systems with dynamic contrastive learning. Intell. Data Anal. 28(4): 909-919 (2024) - [j3]Nguyen Nguyen, Joseph Johnson, Michael Tsiros:
Unlimited Testing: Let's Test Your Emails with AI. Mark. Sci. 43(2): 419-439 (2024) - [c13]Izunna Okpala, Guillermo Romera Rodriguez, Chaeeun Han, Melissa Meierhofer, Stefano Mammola, Shane E. Halse, Jess Kropczynski, Joseph Johnson:
A Framework for Perception Analysis of Social Media Data During Disease Outbreaks: Uncovering Patterns of Resentment Towards Bats. HICSS 2024: 2475-2484 - 2023
- [c12]Joseph Johnson, Yaman Kindap, Simon J. Godsill:
Inference for Variance-Gamma Driven Stochastic Systems. FUSION 2023: 1-8 - 2022
- [c11]Yuqi Wu, Yang Ren, Dezhi Wu, Sudha Xirasagar, Joseph Johnson:
Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach. ICHI 2022: 664-668
2010 – 2019
- 2019
- [j2]Joseph Johnson, Christophe G. Giraud-Carrier:
Diversity, accuracy and efficiency in ensemble learning: An unexpected result. Intell. Data Anal. 23(2): 297-311 (2019) - [c10]Joseph Johnson, Raju Parakkal, Sherry Bartz, Gang Ren, Mitsunori Ogihara:
Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes. ICDM Workshops 2019: 830-837 - 2018
- [c9]Andrew Luke, Joseph Johnson, Yiu-Kai Ng:
Recommending Long-Tail Items Using Extended Tripartite Graphs. ICBK 2018: 123-130 - 2017
- [c8]Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. ICDM 2017: 1123-1128 - [c7]Joseph Johnson, Yiu-Kai Ng:
Using tripartite graphs to make long tail recommendations. IISA 2017: 1-6 - [c6]Joseph Johnson, Yiu-Kai Ng:
Enhancing long tail item recommendations using tripartite graphs and Markov process. WI 2017: 761-768 - [i1]Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. CoRR abs/1709.03946 (2017) - 2016
- [b1]Joseph Johnson:
Intelligent agent development using unstructured text corpora and multiple choice questions. Rensselaer Polytechnic Institute, USA, 2016 - [c5]Gang Ren, Joseph Johnson, Hyunhwan Lee, Mitsunori Ogihara:
Sequential Pattern Based Temporal Contour Representations for Content-Based Multimedia Timeline Analysis. ICMLA 2016: 657-664 - 2015
- [c4]Tina Lowry, Eugene Y. Kim, Joseph Johnson, Jason S. Shapiro:
Variability in the Sequence of HL7 2.x Event Code Types used to Represent Encounters Across a Health Information Exchange. AMIA 2015 - 2014
- [j1]Xiaoning Jiang, Kyungrim Kim, Shujun Zhang, Joseph Johnson, Giovanni Salazar:
High-Temperature Piezoelectric Sensing. Sensors 14(1): 144-169 (2014) - 2012
- [c3]Kirk Roberts, Michael A. Roach, Joseph Johnson, Josh Guthrie, Sanda M. Harabagiu:
EmpaTweet: Annotating and Detecting Emotions on Twitter. LREC 2012: 3806-3813
2000 – 2009
- 2009
- [c2]Qi Zhang, Yuanbin Wu, Tao Li, Mitsunori Ogihara, Joseph Johnson, Xuanjing Huang:
Mining product reviews based on shallow dependency parsing. SIGIR 2009: 726-727 - 2001
- [c1]Manuel L. Penaloza, Antonette M. Logar, Joseph Johnson, Michael Boucher:
A Java unit and integration testing tool. CATA 2001: 358-361
Coauthor Index
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last updated on 2024-10-09 20:32 CEST by the dblp team
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