Stéphane Bressan

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 78

Top Venues

Publications

Pratik Karmakar, Mikaël Monet, Pierre Senellart, Stéphane Bressan
Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases. CoRR (2024)
Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
Learning multivariate temporal point processes via the time-change theorem. AISTATS (2024)
Zheyu Wu, Remmy A. M. Zen, Heitor P. Casagrande, Dario Poletti, Stéphane Bressan
Supervised training of neural-network quantum states for the next-nearest neighbor Ising model. Comput. Phys. Commun. 300 (2024)
Pratik Karmakar, Mikaël Monet, Pierre Senellart, Stéphane Bressan
Expected Shapley-Like Scores of Boolean functions: Complexity and Applications to Probabilistic Databases. Proc. ACM Manag. Data 2 (2) (2024)
Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression. CoRR (2024)
Angelo Saadeh, Pierre Senellart, Stéphane Bressan
Confidential Truth Finding with Multi-Party Computation (Extended Version). CoRR (2023)
Angelo Saadeh, Pierre Senellart, Stéphane Bressan
Confidential Truth Finding with Multi-Party Computation. DEXA (1) (2023)
Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. IJCAI (2023)
Zi-Yu Khoo, Delong Zhang, Stéphane Bressan
What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field. CoRR (2023)
Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis. DEXA (1) (2023)
Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman. DEXA (2) (2023)
Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman. CoRR (2023)
Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning. CoRR (2023)
Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
Celestial Machine Learning - Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman. iiWAS (2023)
Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning. iiWAS (2023)
Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
Separable Hamiltonian Neural Networks. CoRR (2023)
Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan
Extending JumpProcess.jl for fast point process simulation with time-varying intensities. CoRR (2023)
Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman. CoRR (2023)
Zi-Yu Khoo, Delong Zhang, Stéphane Bressan
What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field. DEXA (2) (2022)
Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
Latent Relational Point Process: Network Reconstruction from Discrete Event Data. DEXA (2) (2022)
Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan
Syntax-informed Question Answering with Heterogeneous Graph Transformer. CoRR (2022)
Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan
Syntax-Informed Question Answering with Heterogeneous Graph Transformer. DEXA (1) (2022)
Angelo Saadeh, Vaibhavi Kumari, Stéphane Bressan
Epsilon-Differentially Private and Fully Secure Logistic Regression on Vertically Split Data. ICDIS (2022)
Mingzhe Du, Mouad Hakam, See-Kiong Ng, Stéphane Bressan
Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer. Trans. Large Scale Data Knowl. Centered Syst. 53 (2022)
Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks. CoRR (2022)
Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation. Trans. Large Scale Data Knowl. Centered Syst. 48 (2021)
Ashish Dandekar, Debabrota Basu, Stéphane Bressan
Differential Privacy at Risk: Bridging Randomness and Privacy Budget. Proc. Priv. Enhancing Technol. 2021 (1) (2021)
Remmy A. M. Zen, Stéphane Bressan
Transfer Learning for Larger, Broader, and Deeper Neural-Network Quantum States. DEXA (2) (2021)
Guilherme Augusto Zagatti, Tingfeng Wu, See-Kiong Ng, Stéphane Bressan
A Large-scale Disease Outbreak Analytics System based on Wi-Fi Session Logs. MDM (2021)
Zi-Yu Khoo, Kang Hao Lee, Zhibo Huang, Stéphane Bressan
Neural Ordinary Differential Equations for the Regression of Macroeconomics Data Under the Green Solow Model. DEXA (1) (2021)
Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stéphane Bressan
Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences. DEXA (2) (2020)
Ruixi Zhang, Remmy A. M. Zen, Jifang Xing, Dewa Made Sri Arsa, Abhishek Saha, Stéphane Bressan
Hydrological Process Surrogate Modelling and Simulation with Neural Networks. PAKDD (2) (2020)
Ashish Dandekar, Debabrota Basu, Stéphane Bressan
Differential Privacy at Risk: Bridging Randomness and Privacy Budget. CoRR (2020)
Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
ε-net Induced Lazy Witness Complexes on Graphs. CoRR (2020)
Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stéphane Bressan
Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences. CoRR (2020)
Remmy A. M. Zen, Long My, Ryan Tan, Frédéric Hébert, Mario Gattobigio, Christian Miniatura, Dario Poletti, Stéphane Bressan
Finding Quantum Critical Points with Neural-Network Quantum States. CoRR (2020)
Randy Julian, Edward Guyot, Shaowen Zhou, Geong Sen Poh, Stéphane Bressan
Role-Based Access Classification: Evaluating the Performance of Machine Learning Algorithms. Trans. Large Scale Data Knowl. Centered Syst. 43 (2020)
Dewa Made Sri Arsa, Gusti Agung Ayu Putri, Remmy A. M. Zen, Stéphane Bressan
Isolated Handwritten Balinese Character Recognition from Palm Leaf Manuscripts with Residual Convolutional Neural Networks. KSE (2020)
Remmy A. M. Zen, Long My, Ryan Tan, Frédéric Hébert, Mario Gattobigio, Christian Miniatura, Dario Poletti, Stéphane Bressan
Finding Quantum Critical Points with Neural-Network Quantum States. ECAI (2020)
Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane Bressan
Privacy as a Service: Publishing Data and Models. DASFAA (3) (2019)
Debabrota Basu, Pierre Senellart, Stéphane Bressan
BelMan: An Information-Geometric Approach to Stochastic Bandits. ECML/PKDD (3) (2019)
Remmy A. M. Zen, Dewa Made Sri Arsa, Ruixi Zhang, Ngurah Agus Sanjaya Er, Stéphane Bressan
Rainfall Estimation from Traffic Cameras. DEXA (1) (2019)
Seeram Ramakrishna, Tong-Yi Zhang, Wen-Cong Lu, Quan Qian, Jonathan Sze Choong Low, Jeremy Heiarii Ronald Yune, Daren Zong Loong Tan, Stéphane Bressan, Stefano Sanvito, Surya R. Kalidindi
Materials informatics. J. Intell. Manuf. 30 (6) (2019)
Jifang Xing, Ruixi Zhang, Remmy A. M. Zen, Dewa Made Sri Arsa, Ismail Khalil, Stéphane Bressan
Building Extraction from Google Earth Images. iiWAS (2019)
Hajer Kefi, Aziz Nanthaamornphong, Stéphane Bressan, Talel Abdessalem
Determinants of Social Networking Usage and Regret in Two Cultural Settings: France and Thailand. AMCIS (2019)
Jifang Xing, Ruixi Zhang, Remmy A. M. Zen, Ngurah Agus Sanjaya Er, Laure Sioné, Ismail Khalil, Stéphane Bressan
Microbiological Water Quality Test Results Extraction from Mobile Photographs. iiWAS (2019)
Debabrota Basu, Xiayang Wang, Yang Hong, Haibo Chen, Stéphane Bressan
Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines. IEEE Trans. Parallel Distributed Syst. 30 (8) (2019)
Ashish Dandekar, Debabrota Basu, Stéphane Bressan
Differentially Private Non-parametric Machine Learning as a Service. DEXA (1) (2019)
Ashref Aloui, Mounira Msahli, Talel Abdessalem, Sihem Mesnager, Stéphane Bressan
Privacy as a Service: Anonymisation of NetFlow Traces. ICEBE (2019)
Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
Topological Data Analysis with \epsilon ϵ -net Induced Lazy Witness Complex. DEXA (2) (2019)
Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
Topological Data Analysis with ε-net Induced Lazy Witness Complex. CoRR (2019)
Debabrota Basu, Pierre Senellart, Stéphane Bressan
BelMan: Bayesian Bandits on the Belief-Reward Manifold. CoRR (2018)
Ngurah Agus Sanjaya, Jesse Read, Talel Abdessalem, Stéphane Bressan
Set Labelling using Multi-label Classification. iiWAS (2018)
Ashish Dandekar, Remmy A. M. Zen, Stéphane Bressan
A Comparative Study of Synthetic Dataset Generation Techniques. DEXA (2) (2018)
Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets. CoRR (2018)
Ngurah Agus Sanjaya, Mouhamadou Lamine Ba, Talel Abdessalem, Stéphane Bressan
Harnessing Truth Discovery Algorithms On The Topic Labelling Problem. iiWAS (2018)
Ngurah Agus Sanjaya Er, Mouhamadou Lamine Ba, Talel Abdessalem, Stéphane Bressan
Tuple Reconstruction. DASFAA Workshops (2018)
Ashish Dandekar, Debabrota Basu, Stéphane Bressan
Differential Privacy for Regularised Linear Regression. DEXA (2) (2018)
Ashish Dandekar, Stéphane Bressan
Who is Alice? Privacy Risk, the Case of Regression (Extended Abstract). IWBIS (2018)
Ashref Aloui, Mounira Msahli, Talel Abdessalem, Stéphane Bressan, Sihem Mesnager
Preserving privacy in distributed system (PPDS) protocol: Security analysis. IPCCC (2017)
Ngurah Agus Sanjaya Er, Mouhamadou Lamine Ba, Talel Abdessalem, Stéphane Bressan
Set of tuples expansion by example with reliability. Int. J. Web Inf. Syst. 13 (4) (2017)
Fajrian Yunus, Ashish Dandekar, Stéphane Bressan
Data Driven Generation of Synthetic Data with Support Vector Data Description. DEXA (2) (2017)
Debabrota Basu, Xiayang Wang, Yang Hong, Haibo Chen, Stéphane Bressan
Learn-as-You-Go with Megh: Efficient Live Migration of Virtual Machines. ICDCS (2017)
Naheed Anjum Arafat, Stéphane Bressan
Hypergraph Drawing by Force-Directed Placement. DEXA (2) (2017)
Ngurah Agus Sanjaya Er, Mouhamadou Lamine Ba, Talel Abdessalem, Stéphane Bressan
Truthfulness of Candidates in Set of t-uples Expansion. DEXA (1) (2017)
Ashref Aloui, Mounira Msahli, Talel Abdessalem, Stéphane Bressan, Sihem Mesnager
Protocol for preserving privacy in distributed system (PPDS). IWCMC (2017)
Ashish Dandekar, Remmy A. M. Zen, Stéphane Bressan
Generating Fake but Realistic Headlines Using Deep Neural Networks. DEXA (2) (2017)
Qing Liu, Debabrota Basu, Shruti Goel, Talel Abdessalem, Stéphane Bressan
How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough. DEXA (2) (2017)
Seong-Ping Chuah, Huayu Wu, Yu Lu, Liang Yu, Stéphane Bressan
Bus Routes Design and Optimization via Taxi Data Analytics. CIKM (2016)
Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan
Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning. Trans. Large Scale Data Knowl. Centered Syst. 28 (2016)
Miyoung Han, Pierre Senellart, Stéphane Bressan, Huayu Wu
Routing an Autonomous Taxi with Reinforcement Learning. CIKM (2016)
Qing Liu, Debabrota Basu, Talel Abdessalem, Stéphane Bressan
Top-k Queries Over Uncertain Scores. OTM Conferences (2016)
Ngurah Agus Sanjaya Er, Talel Abdessalem, Stéphane Bressan
Set of t-uples expansion by example. iiWAS (2016)
Ashish Dandekar, Stéphane Bressan, Talel Abdessalem, Huayu Wu, Wee Siong Ng
Detecting Communities of Commuters: Graph Based Techniques Versus Generative Models. OTM Conferences (2016)
Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stéphane Bressan
A Framework for Sampling-Based XML Data Pricing. Trans. Large Scale Data Knowl. Centered Syst. 24 (2016)
Qing Liu, Talel Abdessalem, Huayu Wu, Zihong Yuan, Stéphane Bressan
Cost Minimization and Social Fairness for Spatial Crowdsourcing Tasks. DASFAA (1) (2016)
Duc-Cuong Dao, Thi-Oanh Nguyen, Stéphane Bressan
Factors Influencing The Performance of Image Captioning Model: An Evaluation. MoMM (2016)
Tian Huang, Yongxin Zhu, Yafei Wu, Stéphane Bressan, Gillian Dobbie
Anomaly detection and identification scheme for VM live migration in cloud infrastructure. Future Gener. Comput. Syst. 56 (2016)
Dian Yang, Yongxin Zhu, Tian Huang, Yiliang He, Stéphane Bressan
A Provenance Scheme for Emerging Water Contaminants. UKSim (2015)
Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane Bressan
Cost-Model Oblivious Database Tuning with Reinforcement Learning. DEXA (1) (2015)
Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan
An efficient and truthful pricing mechanism for team formation in crowdsourcing markets. ICC (2015)
Hongtao Chi, Giulia Pedrielli, Thomas Kister, Szu Hui Ng, Stéphane Bressan
An AIS-based framework for real time monitoring of vessels efficiency. IEEM (2015)
Ruiming Tang, Huayu Wu, Xiuqiang He, Stéphane Bressan
Valuating Queries for Data Trading in Modern Cities. ICDM Workshops (2015)
Huayu Wu, Dongxu Shao, Ruiming Tang, Tok Wang Ling, Stéphane Bressan
Expressing and Processing Path-Centric XML Queries. DEXA (2) (2015)
Yi Song, Stéphane Bressan, Gillian Dobbie
Fast Disjoint and Overlapping Community Detection. Trans. Large Scale Data Knowl. Centered Syst. 18 (2015)
Sadegh Nobari, Panagiotis Karras, HweeHwa Pang, Stéphane Bressan
L-opacity: Linkage-Aware Graph Anonymization. EDBT (2014)
Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stéphane Bressan
Get a Sample for a Discount - Sampling-Based XML Data Pricing. DEXA (1) (2014)
Yi Song, Daniel Dahlmeier, Stéphane Bressan
Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data. PIR@SIGIR (2014)
Xuesong Lu, Tuan Quang Phan, Stéphane Bressan
Incremental Algorithms for Sampling Dynamic Graphs. DEXA (1) (2013)
Yi Song, Stéphane Bressan
Fast Community Detection. DEXA (1) (2013)
Yi Song, Stéphane Bressan
Force-Directed Layout Community Detection. DEXA (1) (2013)
Jianhua Qu, Yi Song, Stéphane Bressan
PSOGD: A new method for graph drawing. ICDE Workshops (2013)
Kaifeng Jiang, Dongxu Shao, Stéphane Bressan, Thomas Kister, Kian-Lee Tan
Publishing trajectories with differential privacy guarantees. SSDBM (2013)
Ruiming Tang, Dongxu Shao, Stéphane Bressan, Patrick Valduriez
What You Pay for Is What You Get. DEXA (2) (2013)
Luochen Li, Thuy Ngoc Le, Huayu Wu, Tok Wang Ling, Stéphane Bressan
Discovering Semantics from Data-Centric XML. DEXA (1) (2013)
Stéphane Bressan, Chee Yong Chan, Wynne Hsu, Mong-Li Lee, Tok Wang Ling, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung
Database research at the National University of Singapore. SIGMOD Rec. 42 (2) (2013)
Stéphane Bressan, Alfredo Cuzzocrea, Panagiotis Karras, Xuesong Lu, Sadegh Heyrani-Nobari
An effective and efficient parallel approach for random graph generation over GPUs. J. Parallel Distributed Comput. 73 (3) (2013)
Jianneng Cao, Thomas Kister, Shili Xiang, Baljeet Malhotra, Wee-Juan Tan, Kian-Lee Tan, Stéphane Bressan
ASSIST: Access Controlled Ship Identification Streams. Trans. Large Scale Data Knowl. Centered Syst. 11 (2013)
Dongxu Shao, Kaifeng Jiang, Thomas Kister, Stéphane Bressan, Kian-Lee Tan
Publishing Trajectory with Differential Privacy: A Priori vs. A Posteriori Sampling Mechanisms. DEXA (1) (2013)
Ruiming Tang, Huayu Wu, Zhifeng Bao, Stéphane Bressan, Patrick Valduriez
The Price Is Right - Models and Algorithms for Pricing Data. DEXA (2) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stéphane Bressan