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2020 – today
- 2024
[j13]Tanzina Akter Tani
, Jelena Tesic:
Advancing Retinal Vessel Segmentation With Diversified Deep Convolutional Neural Networks. IEEE Access 12: 141280-141290 (2024)- [j12]M. M. Mahabubur Rahman, Jelena Tesic:
Stratified Graph Indexing for efficient search in deep descriptor databases. Int. J. Multim. Inf. Retr. 13(3): 35 (2024) - [j11]Debojyoti Biswas, Jelena Tesic:
Binarydnet53: a lightweight binarized CNN for monkeypox virus image classification. Signal Image Video Process. 18(10): 7107-7118 (2024) - [j10]M. M. Mahabubur Rahman, Debojyoti Biswas, Xiao Chen, Jelena Tesic:
Image deduplication using efficient visual indexing and retrieval: optimizing storage, time and energy for deep neural network training. Signal Image Video Process. 18(12): 9495-9503 (2024) - [j9]Muhieddine Shebaro, Lia Nogueira de Moura, Jelena Tesic:
Improving association discovery through multiview analysis of social networks. Soc. Netw. Anal. Min. 14(1): 42 (2024) - [j8]Debojyoti Biswas, Jelena Tesic:
Unsupervised Domain Adaptation With Debiased Contrastive Learning and Support-Set Guided Pseudolabeling for Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3197-3210 (2024) - [j7]Debojyoti Biswas, Jelena Tesic:
Domain Adaptation With Contrastive Learning for Object Detection in Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [c44]Mirna Elizondo, Rasim Musal, June Yu, Jelena Tesic:
Long COVID Challenge: Predictive Modeling of Noisy Clinical Tabular Data. ICHI 2023: 150-161 - [c43]Muhieddine Shebaro, Jelena Tesic:
Identifying Stable States of Large Signed Graphs. WWW (Companion Volume) 2023: 594-597 - [i5]Muhieddine Shebaro, Jelena Tesic:
ABCD: Algorithm for Balanced Component Discovery in Signed Networks. CoRR abs/2311.00848 (2023) - [i4]Muhieddine Shebaro, Jelena Tesic:
Scaling Frustration Index and Corresponding Balanced State Discovery for Real Signed Graphs. CoRR abs/2311.00869 (2023) - 2022
- [j6]Maria Tomasso, Lucas J. Rusnak, Jelena Tesic:
Advances in scaling community discovery methods for signed graph networks. J. Complex Networks 10(3) (2022) - [c42]M. M. Mahabubur Rahman, Jelena Tesic:
Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases. IEEE Big Data 2022: 3895-3902 - [c41]M. M. Mahabubur Rahman, Jelena Tesic:
Evaluating Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for High-dimensional Image Feature Search. IEEE Big Data 2022: 6802-6804 - [c40]Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson:
NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. MMSys 2022: 227-233 - [c39]Debojyoti Biswas, M. M. Mahabubur Rahman, Ziliang Zong, Jelena Tesic:
Improving the Energy Efficiency of Real-time DNN Object Detection via Compression, Transfer Learning, and Scale Prediction. NAS 2022: 1-8 - [c38]Maria Tomasso, Lucas J. Rusnak, Jelena Tesic:
Cluster boosting and data discovery in social networks. SAC 2022: 1801-1803 - [i3]Debojyoti Biswas, Jelena Tesic:
Identification of Small Objects in Satellite Image Benchmarks. CoRR abs/2209.02564 (2022) - 2021
- [j5]Lucas Rusnak, Jelena Tesic:
Characterizing attitudinal network graphs through frustration cloud. Data Min. Knowl. Discov. 35(6): 2498-2539 (2021) - [c37]George E. Strauch, Jiajian Jax Lin, Jelena Tesic:
Overhead Projection Approach For Multi-Camera Vessel Activity Recognition. IEEE BigData 2021: 5626-5632 - [c36]Muhieddine Shebaro, Jason Oliver, Tomiwa Olarewaju, Jelena Tesic:
DL-TXST Fake News: Enhancing Tweet Content Classification with Adapted Language Models. MediaEval 2021 - [c35]Yuxiao Zhou, Andres Gonzalez, Parisa Tabassum, Jelena Tesic:
DL-TXST NewsImages: Contextual Feature Enrichment for Image-Text Re-matching. MediaEval 2021 - [c34]Blake W. Ford, Apan Qasem, Jelena Tesic, Ziliang Zong:
Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. NAS 2021: 1-6 - [c33]Ghadeer Alabandi, Jelena Tesic, Lucas Rusnak, Martin Burtscher:
Discovering and balancing fundamental cycles in large signed graphs. SC 2021: 68 - [c32]Lia Nogueira de Moura, Jelena Tesic:
pytwanalysis: Twitter Data Management And Analysis at Scale. SNAMS 2021: 1-8 - [i2]Maria Tomasso, Lucas Rusnak, Jelena Tesic:
Advances in Scaling Community Discovery Methods for Large Signed Graph Networks. CoRR abs/2110.07514 (2021) - 2020
- [c31]Jelena Tesic, Dan E. Tamir, Shai Neumann, Naphtali Rishe, Abe Kandel:
Computing with Words in Maritime Piracy and Attack Detection Systems. HCI (17) 2020: 434-444 - [c30]Andrew Magill, Lia Nogueira de Moura, Maria Tomasso, Mirna Elizondo, Jelena Tesic:
Enriching Content Analysis of Tweets Using Community Discovery Graph Analysis. MediaEval 2020 - [i1]Lucas Rusnak, Jelena Tesic:
Characterizing Attitudinal Network Graphs through Frustration Cloud. CoRR abs/2009.07776 (2020)
2010 – 2019
- 2019
- [j4]Taylor R. Mauldin, Anne H. H. Ngu, Vangelis Metsis, Marc E. Canby, Jelena Tesic:
Experimentation and Analysis of Ensemble Deep Learning in IoT Applications. Open J. Internet Things 5(1): 133-149 (2019) - [c29]Noah Dunstatter, Alireza Tahsini, Mina Guirguis, Jelena Tesic:
Solving Cyber Alert Allocation Markov Games with Deep Reinforcement Learning. GameSec 2019: 164-183 - [c28]Hanie Samimi, Jelena Tesic, Anne Hee Hiong Ngu:
Patient Centric Data Integration for Improved Diagnosis and Risk Prediction. Poly/DMAH@VLDB 2019: 185-195 - 2018
- [c27]Nicholas Warren, Benjamin Garrard, Elliot Staudt, Jelena Tesic:
Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification. CIC 2018: 246-255 - 2015
- [c26]Anthony Hoogs, A. G. Amitha Perera, Roderic Collins, Arslan Basharat, Keith Fieldhouse, Chuck Atkins, Linus Sherrill, Benjamin Boeckel, Russell Blue, Matthew Woehlke, C. Greco, Zhaohui Sun, Eran Swears, Naresh P. Cuntoor, J. Luck, B. Drew, D. Hanson, D. Rowley, J. Kopaz, T. Rude, D. Keefe, Amit Srivastava, Saurabh Khanwalkar, Anoop Kumar, Chia-Chih Chen, J. K. Aggarwal, Larry S. Davis, Yaser Yacoob, A. Jain, Dong Liu, Shih-Fu Chang, Bi Song, Amit K. Roy-Chowdhury, Kenneth Sullivan, Jelena Tesic, Shivkumar Chandrasekaran, B. S. Manjunath, X. Wang, Qiang Ji, K. Reddy, J. Liu, Mubarak Shah, K. Chang, Tsuhan Chen, Mita Desai:
An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement. AVSS 2015: 1-6 - 2010
- [c25]Lexing Xie, Rong Yan, Jelena Tesic, Apostol Natsev, John R. Smith:
Probabilistic visual concept trees. ACM Multimedia 2010: 867-870 - [c24]Matthias Dantone, Kenneth Sullivan, Jelena Tesic:
Multimedia Event Detection (MED) Evaluation Task. TRECVID 2010
2000 – 2009
- 2008
- [j3]Scott A. Golder, Jelena Tesic:
Guest Editors' Introduction: Collaborative Tagging of Multimedia. IEEE Multim. 15(3): 12-13 (2008) - [c23]Apostol Natsev, John R. Smith, Jelena Tesic, Lexing Xie, Rong Yan:
IBM multimedia analysis and retrieval system. CIVR 2008: 553-554 - [c22]Apostol Natsev, John R. Smith, Jelena Tesic, Lexing Xie, Rong Yan, Wei Jiang, Michele Merler:
IBM Research TRECVID-2008 Video Retrieval System. TRECVID 2008 - 2007
- [c21]Jelena Tesic, Apostol Natsev, Joachim Seidl, John R. Smith:
IBM multimodal interactive video threading. CIVR 2007: 124-126 - [c20]Jelena Tesic, Apostol Natsev, John R. Smith:
Cluster-based data modeling for semantic video search. CIVR 2007: 595-602 - [c19]Apostol Natsev, Jelena Tesic, Lexing Xie, Rong Yan, John R. Smith:
IBM multimedia search and retrieval system. CIVR 2007: 645 - [c18]Lexing Xie, Apostol Natsev, Jelena Tesic:
Dynamic Multimodal Fusion in Video Search. ICME 2007: 1499-1502 - [c17]Jelena Tesic, Apostol Natsev, Lexing Xie, John R. Smith:
Data Modeling Strategies for Imbalanced Learning in Visual Search. ICME 2007: 1990-1993 - [c16]Rong Yan, Jelena Tesic, John R. Smith:
Model-shared subspace boosting for multi-label classification. KDD 2007: 834-843 - [c15]Apostol Natsev, Alexander Haubold, Jelena Tesic, Lexing Xie, Rong Yan:
Semantic concept-based query expansion and re-ranking for multimedia retrieval. ACM Multimedia 2007: 991-1000 - [c14]Murray Campbell, Alexander Haubold, Ming Liu, Apostol Natsev, John R. Smith, Jelena Tesic, Lexing Xie, Rong Yan, Jun Yang:
IBM Research TRECVID-2007 Video Retrieval System. TRECVID 2007 - 2006
- [j2]Milind R. Naphade, John R. Smith, Jelena Tesic, Shih-Fu Chang, Winston H. Hsu, Lyndon S. Kennedy, Alexander G. Hauptmann, Jon Curtis:
Large-Scale Concept Ontology for Multimedia. IEEE Multim. 13(3): 86-91 (2006) - [c13]Jelena Tesic, John R. Smith:
Efficient Summarizing of Multimedia Archives Using Cluster Labeling. CIVR 2006: 518-520 - [c12]Michael G. Christel, Milind R. Naphade, Apostol Natsev, Jelena Tesic:
Assessing the Filtering and Browsing Utility of Automatic Semantic Concepts for Multimedia Retrieval. CVPR Workshops 2006: 117 - [c11]Jelena Tesic, John R. Smith:
Semantic Labeling of Multimedia Content Clusters. ICME 2006: 1493-1496 - [c10]James Ze Wang, Nozha Boujemaa, Alberto Del Bimbo, Donald Geman, Alexander G. Hauptmann, Jelena Tesic:
Diversity in multimedia information retrieval research. Multimedia Information Retrieval 2006: 5-12 - [c9]Murray Campbell, Alexander Haubold, Shahram Ebadollahi, Dhiraj Joshi, Milind R. Naphade, Apostol Natsev, Joachim Seidl, John R. Smith, Katya Scheinberg, Jelena Tesic, Lexing Xie:
IBM Research TRECVID-2006 Video Retrieval System. TRECVID 2006 - 2005
- [j1]Jelena Tesic:
Metadata Practices for Consumer Photos. IEEE Multim. 12(3): 86-92 (2005) - [c8]John R. Smith, Milind R. Naphade, Apostol Natsev, Jelena Tesic:
Multimedia Research Challenges for Industry. CIVR 2005: 28-37 - [c7]Apostol Natsev, Milind R. Naphade, Jelena Tesic:
Learning the semantics of multimedia queries and concepts from a small number of examples. ACM Multimedia 2005: 598-607 - [c6]Arnon Amir, Janne Argillander, Murray Campbell, Alexander Haubold, Giridharan Iyengar, Shahram Ebadollahi, Feng Kang, Milind R. Naphade, Apostol Natsev, John R. Smith, Jelena Tesic, Timo Volkmer:
IBM Research TRECVID-2005 Video Retrieval System. TRECVID 2005 - 2004
- [c5]Shawn D. Newsam, Jelena Tesic, Lei Wang, B. S. Manjunath:
Issues in managing image and video data. Storage and Retrieval Methods and Applications for Multimedia 2004: 280-291 - [c4]Arnon Amir, Janne Argillander, Marco Berg, Shih-Fu Chang, Martin Franz, Winston H. Hsu, Giridharan Iyengar, John R. Kender, Lyndon S. Kennedy, Ching-Yung Lin, Milind R. Naphade, Apostol Natsev, John R. Smith, Jelena Tesic, Gang Wu, Rong Yan, Donqing Zhang:
IBM Research TRECVID 2004 Video Retrieval System. TRECVID 2004 - 2003
- [c3]Jelena Tesic, B. S. Manjunath:
Nearest Neighbor Search for Relevance Feedback. CVPR (2) 2003: 643-648 - [c2]Sitaram Bhagavathy, Jelena Tesic, B. S. Manjunath:
On the Rayleigh nature of Gabor filter outputs. ICIP (3) 2003: 745-748 - 2002
- [c1]Jelena Tesic, Shawn D. Newsam, B. S. Manjunath:
Scalable spatial event representation. ICME (2) 2002: 229-232
Coauthor Index
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last updated on 2024-11-25 23:45 CET by the dblp team
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