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Jennifer Sleeman

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2020 – today

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2024
[c23]
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  - conf/igarss/HamerSS24
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Sophia Hamer, Jennifer Sleeman, Ivanka Stajner:
Forecast Aware Model-Driven Neural Learning for Air Quality Bias Correction. IGARSS 2024: 3040-3044
[i7]
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  - journals/corr/abs-2402-14806
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Reed River Chen, Christopher Ribaudo, Jennifer Sleeman, Chace Ashcraft, Collin Kofroth, Marisa Hughes, Ivanka Stajner, Kevin Viner, Kai Wang:
Difference Learning for Air Quality Forecasting Transport Emulation. CoRR abs/2402.14806 (2024)
2023
[j4]
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  - journals/aim/SleemanB23
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Jennifer Sleeman, Jay Brett:
AI climate tipping-point discovery (ACTD). AI Mag. 44(2): 200-201 (2023)
[i6]
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  - journals/corr/abs-2302-06852
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Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White:
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. CoRR abs/2302.06852 (2023)
[i5]
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  - journals/corr/abs-2302-10274
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Jennifer Sleeman, David Chung, Anand Gnanadesikan, Jay Brett, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Chace Ashcraft, Caroline Tang, Anshu Saksena, Larry White:
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). CoRR abs/2302.10274 (2023)
[i4]
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  - journals/corr/abs-2303-12963
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Sophia Hamer, Jennifer Sleeman, Ivanka Stajner:
Forecast-Aware Model Driven LSTM. CoRR abs/2303.12963 (2023)
[i3]
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  - journals/corr/abs-2306-11161
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Chace Ashcraft, Jennifer Sleeman, Caroline Tang, Jay Brett, Anand Gnanadesikan:
Neuro-Symbolic Bi-Directional Translation - Deep Learning Explainability for Climate Tipping Point Research. CoRR abs/2306.11161 (2023)
2022
[c22]
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  - conf/dddas/HalemKMSDBPSIDM22
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Milton Halem, Adam K. Kochanski, Jan Mandel, Jennifer Sleeman, Belay Demoz, Adam Bargteil, Shreya Uday Patil, Samit Shivadekar, A. Iorga, John Dorband, James MacKinnon, Sen Chiao, Zhifeng Yang, Yaacov Yesha, John Sorkin, Eugenia Kalnay, S. Safa, C. Da:
Towards a Dynamic Data Driven Wildfire Digital Twin (WDT): Impacts on Deforestation, Air Quality and Cardiopulmonary Disease. DDDAS 2022: 403-410
2021
[j3]
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  - journals/fdata/SleemanFH21
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Jennifer Sleeman, Tim Finin, Milton Halem:
Understanding Cybersecurity Threat Trends Through Dynamic Topic Modeling. Frontiers Big Data 4: 601529 (2021)
[c21]
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Zeenat Ali, Dorsa Ziaei, Jennifer Sleeman, Zhifeng Yang, Milton Halem:
LSTMs for Inferring Planetary Boundary Layer Height (PBLH). AAAI Spring Symposium: MLPS 2021
[c20]
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Dorsa Ziaei, Jennifer Sleeman, Milton Halem, Vanessa Caicedo, Ruben Delgado, Belay Demoz:
Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction. AAAI Spring Symposium: MLPS 2021
2020
[c19]
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  - conf/bigdatasec/SleemanFH20
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Jennifer Sleeman, Tim Finin, Milton Halem:
Temporal Understanding of Cybersecurity Threats. BigDataSecurity/HPSC/IDS 2020: 115-121
[c18]
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  - conf/igarss/SleemanHYCDD20
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Jennifer Sleeman, Milton Halem, Zhifeng Yang, Vanessa Caicedo, Belay Demoz, Ruben Delgado:
A Deep Machine Learning Approach for Lidar Based Boundary Layer Height Detection. IGARSS 2020: 3676-3679
[c17]
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  - conf/semweb/VallurupalliSF20
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Sai Vallurupalli, Jennifer Sleeman, Tim Finin:
Fine and Ultra-Fine Entity Type Embeddings for Question Answering. SMART@ISWC 2020: 57-70
[i2]
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  - journals/corr/abs-2001-11946
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Jennifer Sleeman, John E. Dorband, Milton Halem:
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning. CoRR abs/2001.11946 (2020)

2010 – 2019

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2018
[c16]
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Jennifer Sleeman, Tim Finin, Milton Halem:
Ontology-Grounded Topic Modeling for Climate Science Research. SW4SG@ISWC 2018
[c15]
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  - conf/semweb/SleemanFH18a
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Jennifer Sleeman, Tim Finin, Milton Halem:
Ontology-Grounded Topic Modeling for Climate Science Research. ISWC (Best Workshop Papers) 2018: 191-202
[i1]
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  - journals/corr/abs-1807-10965
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Jennifer Sleeman, Tim Finin, Milton Halem:
Ontology-Grounded Topic Modeling for Climate Science Research. CoRR abs/1807.10965 (2018)
2017
[c14]
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Jennifer Sleeman, Milton Halem, Tim Finin, Mark Cane:
Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps. AAAI Spring Symposia 2017
[c13]
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Jennifer Sleeman, Milton Halem, Tim Finin, Mark Cane:
Discovering scientific influence using cross-domain dynamic topic modeling. IEEE BigData 2017: 1325-1332
2016
[j2]
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  - journals/lre/KashyapHYSSGF16
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Abhay L. Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya Satyapanich, Sunil Gandhi, Tim Finin:
Robust semantic text similarity using LSA, machine learning, and linguistic resources. Lang. Resour. Evaluation 50(1): 125-161 (2016)
2015
[j1]
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Jennifer Sleeman, Tim Finin, Anupam Joshi:
Entity Type Recognition for Heterogeneous Semantic Graphs. AI Mag. 36(1): 75-86 (2015)
[c12]
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Jennifer Sleeman:
Entity Disambiguation for Wild Big Data Using Multi-Level Clustering. DC@ISWC 2015
[c11]
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Jennifer Sleeman, Tim Finin, Anupam Joshi:
Topic Modeling for RDF Graphs. LD4IE@ISWC 2015: 48-62
2014
[c10]
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Jennifer Sleeman, Tim Finin:
Taming Wild Big Data. AAAI Fall Symposia 2014
[c9]
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  - conf/semeval/KashyapHYSSGF14
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Abhay L. Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya Satyapanich, Sunil Gandhi, Tim Finin:
Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems. SemEval@COLING 2014: 416-423
2013
[c8]
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Jennifer Sleeman, Tim Finin:
Entity Type Recognition for Heterogeneous Semantic Graphs. AAAI Fall Symposia 2013
[c7]
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  - conf/semco/SleemanF13
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Jennifer Sleeman, Tim Finin:
Type Prediction for Efficient Coreference Resolution in Heterogeneous Semantic Graphs. ICSC 2013: 78-85
2012
[c6]
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  - conf/icde/SleemanALPB12
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Jennifer Sleeman, Rafael Alonso, Hua Li, Art Pope, Antonio Badia:
Opaque Attribute Alignment. ICDE Workshops 2012: 17-22
[c5]
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Jennifer Sleeman, Tim Finin:
Cluster-based Instance Consolidation For Subsequent Matching. KECSM@ISWC 2012: 13-18
[c4]
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Jennifer Sleeman:
Online Unsupervised Coreference Resolution for Semi-structured Heterogeneous Data. ISWC (2) 2012: 457-460
2011
[c3]
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  - conf/petra/KrishnaswamySO11
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Kavita Krishnaswamy, Jennifer Sleeman, Tim Oates:
Real-time path planning for a robotic arm. PETRA 2011: 11
2010
[c2]
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  - conf/aaaiss/SleemanF10
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Jennifer Sleeman, Tim Finin:
A Machine Learning Approach to Linking FOAF Instances. AAAI Spring Symposium: Linked Data Meets Artificial Intelligence 2010
[c1]
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Jennifer Sleeman, Tim Finin:
Learning Co-reference Relations for FOAF Instances. ISWC (Posters & Demos) 2010

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