Nicholas R. Jennings

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 119

Top Venues

Publications

Shaheen Fatima, Nicholas R. Jennings, Michael J. Wooldridge
Learning to Resolve Social Dilemmas: A Survey. J. Artif. Intell. Res. 79 (2024)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
PreGAN+: Semi-Supervised Fault Prediction and Preemptive Migration in Dynamic Mobile Edge Environments. IEEE Trans. Mob. Comput. 23 (6) (2024)
Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model. INFOCOM (2023)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments. CoRR (2023)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
SciNet: Codesign of Resource Management in Cloud Computing Environments. IEEE Trans. Computers 72 (12) (2023)
Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks. IEEE Trans. Serv. Comput. 16 (1) (2023)
Daniel Lengyel, Panos Parpas, Nikolas Kantas, Nicholas R. Jennings
Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation. CoRR (2023)
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments. SIGMETRICS Perform. Evaluation Rev. 50 (4) (2023)
Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings
AI augmented Edge and Fog computing: Trends and challenges. J. Netw. Comput. Appl. 216 (2023)
Farzaneh Farhadi, Maria Chli, Nicholas R. Jennings
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents. J. Artif. Intell. Res. 76 (2023)
Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
Adaptive Experimental Design for Intrusion Data Collection. CoRR (2023)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments. IEEE Trans. Mob. Comput. 22 (9) (2023)
Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
Adaptive Experimental Design for Intrusion Data Collection. CAMLIS (2023)
Nhat Van-Quoc Truong, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
Efficient and adaptive incentive selection for crowdsourcing contests. Appl. Intell. 53 (8) (2023)
Farzaneh Farhadi, Maria Chli, Nicholas R. Jennings
Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement. AAMAS (2023)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
DRAGON: Decentralized Fault Tolerance in Edge Federations. IEEE Trans. Netw. Serv. Manag. 20 (1) (2023)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
CILP: Co-Simulation-Based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments. IEEE Trans. Netw. Serv. Manag. 20 (4) (2023)
Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings
AI Augmented Edge and Fog Computing: Trends and Challenges. CoRR (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments. CoRR (2022)
Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
HUNTER: AI based holistic resource management for sustainable cloud computing. J. Syst. Softw. 184 (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
CAROL: Confidence-Aware Resilience Model for Edge Federations. DSN (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments. CoRR (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. Proc. VLDB Endow. 15 (6) (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. CoRR (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing. INFOCOM (2022)
Athanasios Aris Panagopoulos, Filippos Christianos, Michail Katsigiannis, Konstantinos Mykoniatis, Georgios Chalkiadakis, Marco Pritoni, Therese Peffer, Orestis P. Panagopoulos, Emmanouil S. Rigas, David E. Culler, Nicholas R. Jennings, Timothy Lipman
iPlugie: Intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources. Simul. Model. Pract. Theory 115 (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments. CLOUD (2022)
Syed Saad Amer, Gurleen Wander, Manmeet Singh, Rami Bahsoon, Nicholas R. Jennings, Sukhpal Singh Gill
BioLearner: A Machine Learning-Powered Smart Heart Disease Risk Prediction System Utilizing Biomedical Markers. J. Interconnect. Networks 22 (3) (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Shreshth Tuli, Shivananda R. Poojara, Satish Narayana Srirama, Giuliano Casale, Nicholas R. Jennings
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Pengfei Wang, Boya Di, Lingyang Song, Nicholas R. Jennings
Multi-Layer Computation Offloading in Distributed Heterogeneous Mobile Edge Computing Networks. IEEE Trans. Cogn. Commun. Netw. 8 (2) (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
CAROL: Confidence-Aware Resilience Model for Edge Federations. CoRR (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
DRAGON: Decentralized Fault Tolerance in Edge Federations. CoRR (2022)
Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model. CoRR (2022)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments. CoRR (2022)
Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings
Generative Optimization Networks for Memory Efficient Data Generation. CoRR (2021)
Vahid Yazdanpanah, Sebastian Stein, Enrico Gerding, Nicholas R. Jennings
Applying Strategic Reasoning for Accountability Ascription in Multiagent Teams. AISafety@IJCAI (2021)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems. CoRR (2021)
Boya Di, Nicholas R. Jennings
A contract-based incentive mechanism for distributed meeting scheduling: Can agents who value privacy tell the truth? Auton. Agents Multi Agent Syst. 35 (2) (2021)
Shreshth Tuli, Shivananda R. Poojara, Satish Narayana Srirama, Giuliano Casale, Nicholas R. Jennings
COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments. CoRR (2021)
Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Corina Cîrstea, m. c. schraefel, Timothy J. Norman, Nicholas R. Jennings
Different Forms of Responsibility in Multiagent Systems: Sociotechnical Characteristics and Requirements. IEEE Internet Comput. 25 (6) (2021)
Sepehr Maleki, Sasan Maleki, Nicholas R. Jennings
Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering. Appl. Soft Comput. 108 (2021)
Yuan Luo, Nicholas R. Jennings
A budget-limited mechanism for category-aware crowdsourcing of multiple-choice tasks. Artif. Intell. 299 (2021)
Mashrur Rashik, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid, Long Tran-Thanh, Nicholas R. Jennings
Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs. Appl. Intell. 51 (3) (2021)
Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing. CoRR (2021)
Farzaneh Farhadi, Maria Chli, Nicholas R. Jennings
Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents. CoRR (2021)
Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings
Real-Time Detection of Dictionary DGA Network Traffic Using Deep Learning. SN Comput. Sci. 2 (2) (2021)
Farzaneh Farhadi, Nicholas R. Jennings
A Faithful Mechanism for Incremental Multi-Agent Agreement Problems with Self-Interested and Privacy-Preserving Agents. SN Comput. Sci. 2 (4) (2021)
Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks. CoRR (2021)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing. CoRR (2021)
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments. CoRR (2021)
Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
AED: An Anytime Evolutionary DCOP Algorithm. AAMAS (2020)
Boya Di, Nicholas R. Jennings
Privacy-Preserving Dialogues Between Agents: A Contract-Based Incentive Mechanism for Distributed Meeting Scheduling. EUMAS/AT (2020)
Yuan Luo, Nicholas R. Jennings
A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems. AAMAS (2020)
Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
Multi-agent Planning with High-Level Human Guidance. PRIMA (2020)
Vahid Yazdanpanah, Mehdi Dastani, Shaheen Fatima, Nicholas R. Jennings, Devrim Murat Yazan, W. Henk Zijm
Task Coordination in Multiagent Systems. AAMAS (2020)
Vahid Yazdanpanah, Sara Mehryar, Nicholas R. Jennings, Swenja Surminski, Martin J. Siegert, Jos van Hillegersberg
Multiagent Climate Change Research. AAMAS (2020)
Farzaneh Farhadi, Nicholas R. Jennings
A Faithful Mechanism for Privacy-Sensitive Distributed Constraint Satisfaction Problems. EUMAS/AT (2020)
Shreshth Tuli, Sukhpal Singh Gill, Giuliano Casale, Nicholas R. Jennings
iThermoFog: IoT-Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques. Internet Technol. Lett. 3 (5) (2020)
Vahid Yazdanpanah, Mehdi Dastani, Shaheen Fatima, Nicholas R. Jennings, Devrim Murat Yazan, W. Henk M. Zijm
Multiagent Task Coordination as Task Allocation Plus Task Responsibility. EUMAS/AT (2020)
Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings
Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning. CoRR (2020)
Yuan Luo, Nicholas R. Jennings
A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems. J. Artif. Intell. Res. 69 (2020)
Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. CoRR (2020)
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. CoRR (2020)
Saaduddin Mahmud, Md. Mosaddek Khan, Nicholas R. Jennings
On Population-Based Algorithms for Distributed Constraint Optimization Problems. CoRR (2020)
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. IJCAI (2020)
Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
Stochastic multi-agent planning with partial state models. DAI (2019)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Streaming Bayesian Inference for Crowdsourced Classification. NeurIPS (2019)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
On the efficiency of data collection for multiple Naïve Bayes classifiers. Artif. Intell. 275 (2019)
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
Machine behaviour. Nat. 568 (7753) (2019)
Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
AED: An Anytime Evolutionary DCOP Algorithm. CoRR (2019)
Dengji Zhao, Bin Li, Junping Xu, Dong Hao, Nicholas R. Jennings
Selling Multiple Items via Social Networks. CoRR (2019)
Nhat Van-Quoc Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests. PRICAI (1) (2019)
Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. AAAI (2019)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Streaming Bayesian Inference for Crowdsourced Classification. CoRR (2019)
Jhim Kiel M. Verame, Enrico Costanza, Joel E. Fischer, Andy Crabtree, Sarvapali D. Ramchurn, Tom Rodden, Nicholas R. Jennings
Learning from the Veg Box: Designing Unpredictability in Agency Delegation. CHI (2018)
Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems. AAMAS (2018)
Md. Mosaddek Khan, Long Tran-Thanh, Sarvapali D. Ramchurn, Nicholas R. Jennings
Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs. Comput. J. 61 (11) (2018)
Yuan Luo, Nicholas R. Jennings
A Differential Privacy Mechanism with Network Effects for Crowdsourcing Systems. AAMAS (2018)
Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
Adaptive Incentive Selection for Crowdsourcing Contests. AAMAS (2018)
Alexandros Zenonos, Sebastian Stein, Nicholas R. Jennings
Coordinating Measurements in Uncertain Participatory Sensing Settings. J. Artif. Intell. Res. 61 (2018)
Dengji Zhao, Bin Li, Junping Xu, Dong Hao, Nicholas R. Jennings
Selling Multiple Items via Social Networks. AAMAS (2018)
Valentin Robu, Meritxell Vinyals, Alex Rogers, Nicholas R. Jennings
Efficient Buyer Groups With Prediction-of-Use Electricity Tariffs. IEEE Trans. Smart Grid 9 (5) (2018)
Bo An, Nicholas R. Jennings, Zhenhui Jessie Li
ACM TIST Special Issue on Urban Intelligence. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Zoltán Beck, W. T. Luke Teacy, Alex Rogers, Nicholas R. Jennings
Collaborative online planning for automated victim search in disaster response. Robotics Auton. Syst. 100 (2018)
Md. Mosaddek Khan, Long Tran-Thanh, William Yeoh, Nicholas R. Jennings
A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems. AAMAS (2018)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
On the Efficiency of Data Collection for Crowdsourced Classification. IJCAI (2018)
Alexandros Zenonos, Sebastian Stein, Nicholas R. Jennings
A Trust-Based Coordination System for Participatory Sensing Applications. HCOMP (2017)
Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings
The Dollar Auction with Spiteful Players. AAAI (2017)
Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings
Optimal Escape Interdiction on Transportation Networks. IJCAI (2017)
Maysoon F. Abulkhair, Entisar S. Alkayal, Nicholas R. Jennings
Automated Negotiation using Parallel Particle Swarm Optimization for Cloud Computing Applications. ICCA (2017)
Sebastian Stein, Soheil Eshghi, Setareh Maghsudi, Leandros Tassiulas, Rachel K. E. Bellamy, Nicholas R. Jennings
Heuristic Algorithms for Influence Maximization in Partially Observable Social Networks. SocInf@IJCAI (2017)
Athanasios Aris Panagopoulos, Sasan Maleki, Alex Rogers, Matteo Venanzi, Nicholas R. Jennings
Advanced Economic Control of Electricity-Based Space Heating Systems in Domestic Coalitions with Shared Intermittent Energy Resources. ACM Trans. Intell. Syst. Technol. 8 (4) (2017)
Alexandry Augustin, Matteo Venanzi, Alex Rogers, Nicholas R. Jennings
Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing. IJCAI (2017)
Reshef Meir, Maria Polukarov, Jeffrey S. Rosenschein, Nicholas R. Jennings
Iterative voting and acyclic games. Artif. Intell. 252 (2017)
Sebastian Stein, Soheil Eshghi, Setareh Maghsudi, Leandros Tassiulas, Rachel K. E. Bellamy, Nicholas R. Jennings
Influence maximisation beyond organisational boundaries. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Sebastian Stein, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, Nicholas R. Jennings
Market Interfaces for Electric Vehicle Charging. J. Artif. Intell. Res. 59 (2017)
Sebastian Stein, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, Nicholas R. Jennings
Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge. IJCAI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicholas R. Jennings