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ORCID57th CISS 2023: Baltimore, MD, USA
- 57th Annual Conference on Information Sciences and Systems, CISS 2023, Baltimore, MD, USA, March 22-24, 2023. IEEE 2023, ISBN 978-1-6654-5181-9
- Christy Lee, Aneesh Naik, Sailee Naik, Michele Saruwatari, Kochai Jawed, Khalid Mohammed Ali, Bo Ning, Richard Jaepyeong Cha:
Development of multifunctional hyperspectral/near-infrared imaging camera system for intraoperative tissue characterization and assessment in vivo. 1-4 - Shiqing Sun, James C. Spall:
Langevin Monte Carlo with SPSA-approximated Gradients. 1-6 - Chen Quan, Baocheng Geng
, Yunghsiang S. Han, Pramod K. Varshney:
Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks. 1-6 - Anushreya Ghosh, Alexander M. Haimovich, Jason A. Dabin:
Interference Mitigation in Blind Source Separation by Hidden State Filtering. 1-6 - Van Sy Mai, Richard J. La, Tao Zhang, Yuxuan Huang, Abdella Battou:
Federated Learning With Server Learning for Non-IID Data. 1-6 - Saloni Mahatma, Lisa Van den Broeck, Nicholas Morffy, Max V. Staller, Lucia C. Strader, Rosangela Sozzani:
Prediction and functional characterization of transcriptional activation domains. 1-6 - Kun Yang, Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni:
Greedy Centroid Initialization for Federated K-means. 1-6 - Andrey Garnaev, Wade Trappe:
An ALOHA multi-user game with tradeoff between throughput and transmission proportional fairness. 1-6 - Richeng Jin, Philip Dai, Kaiqi Xiong:
Communication-Efficient Federated Learning with Channel-Aware Sparsification over Wireless Networks. 1-6 - Daniel Deniz, Eduardo Ros, Cornelia Fermüller, Francisco Barranco:
When Do Neuromorphic Sensors Outperform cameras? Learning from Dynamic Features. 1-6 - Rayyan Abdalla, A. Brinton Cooper:
Performance Analysis of LOS THz Systems Under Misalignment and Deterministic Fading. 1-5 - Khaled Aboumerhi, Ralph Etienne-Cummings:
Inducing Dynamic Group Sparsity on Vagus Nerve Recordings. 1-5 - Gabrielle Ebbrecht, Juntao Chen:
Data-Driven Analysis and Optimization for Urban Energy Systems Equitable Resilience. 1-6 - Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain:
Policy Gradients for Probabilistic Constrained Reinforcement Learning. 1-6 - W. Steven Gray, Kurusch Ebrahimi-Fard, Alexander Schmeding:
Zeroing the Output of Nonlinear Systems Without Relative Degree. 1-6 - Ekin Gunes Ozaktas, Alfredo Naef, Giulia Tagliabue:
A Machine Learning Approach to Predict the Optical Properties of a Nanocube via Gaussian Process Regression. 1-6 - Lei Cao, Ramanarayanan Viswanathan:
Distributed Detection with Unreliable Reporting Channels: Quantize or Not Quantize? 1-6 - Zinia Anzum Tonni, Rashed Mazumder:
A Novel Feature Selection Technique for Intrusion Detection System Using RF-RFE and Bio-inspired Optimization. 1-6 - Radu-Emil Precup, Raul-Cristian Roman, Elena-Lorena Hedrea, Emil M. Petriu, Claudia-Adina Bojan-Dragos, Alexandra-Iulia Szedlak-Stînean:
Slime Mold Algorithm-Based Performance Improvement of PD-Type Indirect Iterative Learning Fuzzy Control of Tower Crane Systems. 1-6 - Ivan Perez Avellaneda, Luis A. Duffaut Espinosa:
Output Reachability of Chen-Fliess series: A Newton-Raphson Approach. 1-6 - Andres Correa Hernandez, Claire F. Gmachl:
Application of Machine Learning to Quantum Cascade Laser Design. 1-6 - Kirsten Toland, Peter O. Taiwo, Arlene A. Cole-Rhodes:
Towards Equalization of Mixed Multi-user OFDM Signals Over a Doubly-Dispersive Channel. 1-5 - Xi Zhang, Jingqing Wang, H. Vincent Poor:
The ε-Effective Capacity for Statistical Delay and Error-Rate Bounded QoS Provisioning Over 6G CF M-MIMO Wireless Networks Using HARQ-IR. 1-5 - Michael J. Weisman, Alexander Kott, Joachim Vandekerckhove:
Piecewise Linear and Stochastic Models for the Analysis of Cyber Resilience. 1-6 - Kofi Nyarko, Peter O. Taiwo, Chukwuemeka Duru, Emmanual Masa-Ibi:
AI/ML Systems Engineering Workbench Framework. 1-5 - Guobin Xu, Jianzhou Mao, Eric Sakk, Shuangbao Paul Wang:
An Overview of Quantum-Safe Approaches: Quantum Key Distribution and Post-Quantum Cryptography. 1-6 - Michael P. Rooney, Suzanne J. Matthews:
Evaluating FFT performance of the C and Rust Languages on Raspberry Pi platforms. 1-6 - Dominique L. Tanner, Michael Privitera, Marepalli Rao:
Feasibility of Regression Modeling and Biomarker Analysis for Epileptic Seizure Prediction. 1-4 - Muhammad Mu'az Imran, Gisun Jung, Young Kim, Pg Emeroylariffion Abas, Liyanage C. De Silva, Yun Bae Kim:
A computational method for improving the data acquisition process in the Laser Metal Deposition. 1-6 - Elham Jamalinia, Parv Venkitasubramaniam:
Prospect Theoretic Contract Design in a Stackelberg Game via Bayesian Inference. 1-6 - William Powers, Lin Shi, Larry S. Liebovitch:
Tools and Visualizations for Exploring Classification Landscapes. 1-6 - Dewant Katare, Aaron Yi Ding:
Energy-efficient Edge Approximation for Connected Vehicular Services. 1-6 - Ayush Nankani, Pavel Yarmolenko, Karun Sharma, Kevin Cleary, Reza Monfaredi:
Body-mounted MR-HIFU Robotic System: Mechanical Design and Accuracy Evaluation. 1-6 - Shaohan Wu, Brian L. Hughes:
Impedance Estimation at Multi-Antenna Receivers. 1-6 - Itshak Lapidot:
Stochastic Mean-Shift for Speaker Clustering. 1-5 - Marie Siew, Shikhar Sharma, Carlee Joe-Wong:
ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. 1-6 - Ghazaleh Ardeshiri, Azadeh Vosoughi:
Distributed Detection in EH-Powered Mobile WSNs: Adaptive Transmission over Temporally Correlated MIMO Channels with Limited Feedback. 1-6 - Satyaki Nan, Laurent Njilla, Swastik Brahma, Charles A. Kamhoua:
Game and Prospect Theoretic Hardware Trojan Testing. 1-6 - Nicolás Rodríguez, Martin Villemur, Pedro Julián:
Architecture Analysis for Symmetric Simplicial Deep Neural Networks on Chip. 1-6 - Khalid Mohammed Ali, Michele Saruwatari, Kochai Jawed, Yoseph Kim, Seihoon Park, Seongjun Cha, Bo Ning, Richard Jaepyeong Cha:
Artificial Intelligence-Assisted Laparoscopic Cholecystectomy in a Preclinical Swine Model. 1-4 - Matin Mortaheb, Sennur Ulukus:
Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs. 1-5 - Neal Anwar, Chethan Parameshwara, Cornelia Fermüller, Yiannis Aloimonos:
Towards an Improved Hyperdimensional Classifier for Event-Based Data. 1-4 - Xiaoyang Xu, Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck:
Maximum Zero-Outage Secrecy Capacity of Fading Wiretap Channels with Finite Alphabets. 1-4 - Tianpeng Zhang, Kasper Johansson, Na Li:
Multi-armed Bandit Learning on a Graph. 1-6 - Yuan Zhao, Atah Abdi, Mark Dean, Ali Abdi:
Optimal Decision Making with Rational Inattention Using Noisy Data. 1-5 - Fei Wang, Xi Zhang:
Active-IRS-Enabled Energy-Efficiency Optimizations for UAV-Based 6G Mobile Wireless Networks. 1-6 - Jieming Bian, Cong Shen, Jie Xu:
Federated Learning via Indirect Server-Client Communications. 1-5 - Weijia Lu, Xiaofeng Ma, Xiaodong Zhang, Zhifei Yang, Qinghua Wang, Chuang Liu, Tao Yang:
Toward Designing an Attentive Deep Trajectory Predictor Based on Bluetooth Low Energy Signal. 1-6 - Zeyu Zhou, Bruce E. Hajek:
Particle Thompson Sampling with Static Particles. 1-6 - Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa:
C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. 1-6 - Wesley A. Suttle, Alec Koppel, Ji Liu:
Information-Directed Policy Search in Sparse-Reward Settings via the Occupancy Information Ratio. 1-6 - Kun Yang, Chengshuai Shi, Cong Shen:
Teaching Reinforcement Learning Agents via Reinforcement Learning. 1-6 - Yingbo Hua, Ahmed Maksud:
Secret Key Generation from MIMO Channel With or Without Reciprocity. 1-6 - Umar Mujahid Khokhar, Madiha Khalid, Muhammad Najam-ul-Islam:
FPGA Based Emulation Of B92 QKD Protocol. 1-5 - Ali Emadi, Tomasz Lipniacki, Andre Levchenko, Ali Abdi:
A Decision Making Model Where the Cell Exhibits Maximum Detection Probability: Statistical Signal Detection Theory and Molecular Experimental Data. 1-4 - Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi, Fatemeh Afghah:
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. 1-6 - Muriel Médard, Ken R. Duffy:
Physical layer insecurity. 1-6 - Yexuan Liu, Yohei Watanabe, Junji Shikata:
Forward and Backward Private Dynamic Searchable Encryption with Better Space Efficiency. 1-6 - Michelle Mary Varghese, Sahana Ramesh, Sonali Kadham, V. M. Dhruthi, Preet Kanwal:
Real-time Fitness Activity Recognition and Correction using Deep Neural Networks. 1-6 - Harsh Anand, Majid Shafiee-Jood, Negin Alemazkoor:
Perspicuity of Evacuation Behavior in Communities during Hurricanes using Large-scale Mobility Patterns and Communal Characteristics. 1-6 - Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka:
A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. 1-4 - Richeng Jin, Xiaofan He, Huaiyu Dai:
Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent. 1-6 - Kyle P. Wensell, James Zhou, Alexander M. Haimovich, Evan A. Young, Lam T. Vo:
Learning of Doppler Tolerant Radar Detectors for Noise Waveforms. 1-5 - Lital Dabush, Nir Shlezinger, Tirza Routtenberg:
Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals. 1-6 - Yi Wei, Marcos M. Vasconcelos:
Strategic multi-task coordination over regular networks of robots with limited computation and communication capabilities. 1-6 - Jonah P. Sengupta, Andreas G. Andreou:
Retinomorphic Channel Design and Considerations. 1-6 - Jingchao Gao, Jirong Yi, Weiyu Xu:
Outlier Detection for Generative Models with Performance Guarantees. 1-6 - Audrey Huang, Jinglin Chen, Nan Jiang:
Extended Abstract: Learning in Low-rank MDPs with Density Features. 1-3 - Niharika Deshpande, Hyoshin Park, Venktesh Pandey, Gyugeun Yoon:
Advancing Temporal Multimodal Learning with Physics Informed Regularization. 1-5 - Arya Teymourlouei, Rodolphe J. Gentili, James A. Reggia:
Decoding EEG Signals with Visibility Graphs to Predict Varying Levels of Mental Workload. 1-6 - Courtney M. King, Son Tung Do, Juntao Chen:
Policy Poisoning in Batch Learning for Linear Quadratic Control Systems via State Manipulation. 1-6 - Victoria Subritzky-Katz, Aaron L. Sampson, Erik Emeric, Witold J. Lipski, Sophia Moreira-González, Jorge González-Martínez, Sridevi V. Sarma, Veit Stuphorn, Ernst Niebur:
Quantifying Phase- Amplitude Modulation in Neural Data. 1-6 - Stephen Kotiang, Ali Eslami:
Boolean Factor Graph Modeling and Analysis of Gene Graphs: Budding Yeast Cell-Cycle. 1-6 - Ian George, Xinan Chen, Lav R. Varshney:
Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. 1-6 - John Franklin, A. Brinton Cooper III:
Stopping Criteria for Compressive Sensing OFDM Channel Estimation using OMP. 1-6 - Zhichao Jia, Ziyi Wei:
SPSA-Based Switch Updating Algorithm for Constrained Stochastic Optimization. 1-5 - Steven Jones, A. Brinton Cooper:
On the determination of GRAND noise sequences by employing integer compositions. 1-6 - Hannah Friedman, Amani R. Maina-Kilaas, Julianna Schalkwyk, Hina Ahmed, Jamie Haddock:
An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure. 1-6 - Nazanin Abolfazli, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani:
An Accelerated Asynchronous Distributed Method for Convex Constrained Optimization Problems. 1-6 - Alexander Sauter, Balázs Matuz, Gianluigi Liva:
Error Detection Strategies for CRC-Concatenated Polar Codes under Successive Cancellation List Decoding. 1-6 - Zeyu Zhou, Bruce E. Hajek:
Improving Particle Thompson Sampling through Regenerative Particles. 1-4 - Madan Dahal, Mojtaba Vaezi:
Multi-agent Deep Reinforcement Learning for Multi-Cell Interference Mitigation. 1-6 - Carlos A. Rincon C., Daniel Rivas, Albert M. K. Cheng:
Entropy-based scheduling performance in real-time multiprocessor systems. 1-5 - Mian Jia, Kang Pu, Yue Zhao:
Net Load Forecast based on Behind-the-Meter Disaggregation of Smart Meter Data. 1-6 - Ce Xu, Bo Liu, Yue Zhao:
Offline Reinforcement Learning for Price-Based Demand Response Program Design. 1-6 - Pretom Roy Ovi, Aryya Gangopadhyay:
A Comprehensive Study of Gradient Inversion Attacks in Federated Learning and Baseline Defense Strategies. 1-6 - Ye Zhu, Xiaowen Gong:
Distributed Policy Gradient with Heterogeneous Computations for Federated Reinforcement Learning. 1-6 - Shruti Singh, Abhijeet Gupta, Samah Saeed Baraheem, Tam V. Nguyen:
Multi-Output Career Prediction: Dataset, Method, and Benchmark Suite. 1-6 - Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. 1-6 - Shalabh Bhatnagar, Prashanth L. A.:
Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. 1-6 - Steve Huntsman:
Physical geometry of channel degradation. 1-5 - Mohamed Seif, Andrea J. Goldsmith, H. Vincent Poor:
Differentially Private Community Detection over Stochastic Block Models with Graph Sketching. 1-6 - Xingjian Sun, Lei Cao, Ramanarayanan Viswanathan:
Parallel and Serial Two-Sensor Distributed Detection Considering Binary Symmetric Channel. 1-6 - Andrew S. Gordon, Andrew Feng:
Searching for the Most Probable Combination of Class Labels Using Etcetera Abduction. 1-6 - Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost:
Stacking multiple optimal transport policies to map functional connectomes. 1-6 - James Cheng Peng, James C. Spall:
Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems. 1-6 - Morriel Kasher, Predrag Spasojevic, Michael Tinston:
Linearization of Non-Uniform Quantizers via Adaptive Non-Subtractive Dithering. 1-6 - Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. 1-6 - Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin:
Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification. 1-6 - Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D.:
Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. 1-6 - Xi Zhang, Qixuan Zhu, H. Vincent Poor:
Massive-MIMO Based RSMA Under Nakagami-m Channel Over 6G mURLLC Wireless Networks. 1-6 - Lei Pan, Yan Zhang, Yi Zhou, Heikki Huttunen, Shuvra S. Bhattacharyya:
Multi-Objective Design Optimization for Image Classification Using Elastic Neural Networks. 1-6 - Kevin Galligan, Muriel Médard, Ken R. Duffy:
Block turbo decoding with ORBGRAND. 1-6 - Michael A. Tope, Joel M. Morris:
Near-optimal Sampling to Optimize Communication Over Discrete Memoryless Channels. 1-6 - Sajani Vithana, Sennur Ulukus:
Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification. 1-6 - Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart:
Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations. 1-8 - Xi Zhang, Qixuan Zhu, H. Vincent Poor:
Heterogeneous Statistical QoS Provisioning for Scalable Software-Defined 6G Mobile Networks. 1-6
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last updated on 2024-11-08 20:41 CET by the dblp team
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