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ORCID33rd ICTAI 2021: Washington, DC, USA
- 33rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2021, Washington, DC, USA, November 1-3, 2021. IEEE 2021, ISBN 978-1-6654-0898-1
- Fatoumata Dama, Christine Sinoquet:
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis. 1-9 - Connor Shorten, Taghi M. Khoshgoftaar:
Investigating the Generalization of Image Classifiers with Augmented Test Sets. 10-17 - Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk:
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. 18-25 - Jan Motl, Pavel Kordík:
Stratified Cross-Validation on Multiple Columns. 26-31 - Gaël Aglin
, Siegfried Nijssen, Pierre Schaus:
Assessing Optimal Forests of Decision Trees. 32-39 - Hongru Liu, Zhezhou Yu, Xiaowei Xu, Yuanyuan Guan, Boxiang Zhang, Wenhui Li:
Global Attention Augmentation Ghost Module: More Features from Lightweight Global Attention Extraction. 40-48 - Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. 49-56 - Lijun Xia, Chao Yu, Zifan Wu:
Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation. 57-64 - Liang Zhao, Sheng Han, Youfang Lin:
Collision-aware Multi-robot Motion Coordination Deep-RL with Dynamic Priority Strategy. 65-72 - Douae Ahmadoun, Elise Bonzon, Cédric Buron, Pavlos Moraitis, Pierre Savéant, Onn Shehory:
Decentralized Coalition Structure Formation for Interdependent Tasks Allocation. 73-80 - Ido Shapira, Amos Azaria:
Autonomous Agents for The Single Track Road Problem. 81-85 - ShiQing Gao, Fufei Yao, Yaoru Sun, Haibo Shi:
Expert-guided Policy Optimization by Latent Space Planning with Attention. 86-90 - Pavel Surynek:
Sparse Real-time Decision Diagrams for Continuous Multi-Robot Path Planning. 91-96 - David W. Ludwig, Lucas W. Remedios, Joshua L. Phillips:
A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. 97-104 - Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu:
Incorporating Proportional Sparse Penalty for Causal Structure Learning. 105-112 - Sergio Peignier, Baptiste Sorin, Federica Calevro:
Ensemble Learning Based Gene Regulatory Network Inference. 113-120 - Maxence Grand, Humbert Fiorino, Damien Pellier:
IncrAMLSI: Incremental Learning of Accurate Planning Domains from Partial and Noisy Observations. 121-128 - Yllias Chali, Asif Mahmud:
Query-Based Summarization using Reinforcement Learning and Transformer Model. 129-136 - Baturay Saglam, Enes Duran, Dogan C. Cicek, Furkan B. Mutlu, Suleyman S. Kozat:
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods. 137-144 - Benying Li, Aimei Dong:
Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn. 145-152 - Min Min Chan, Amanda Yun Rui Lam, David Carmody, Marcus Eng Hock Ong, Yingtian Zou, Wynne Hsu, Mong-Li Lee:
Recurrent Temporal Point Process Network for First and Repeated Clinical Events. 153-160 - Zaihui Fei, Shuangcheng Jia, Qian Li:
Research on GNSS/DR method based on B-spline and optimized BP neural network. 161-168 - Chenqi Xie, Ping Yi, Baowen Zhang, Futai Zou:
DeepMark: Embedding Watermarks into Deep Neural Network Using Pruning. 169-175 - Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng:
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. 176-183 - Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
Grad Centroid Activation Mapping for Convolutional Neural Networks. 184-191 - Shiqi Guo, Tong Lin:
An Efficient non-Backpropagation Method for Training Spiking Neural Networks. 192-199 - Samuel Teuber, Marko Kleine Büning, Philipp Kern, Carsten Sinz:
Geometric Path Enumeration for Equivalence Verification of Neural Networks. 200-208 - Jennie Andersen, Brice Chardin, Mohamed Tribak:
Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints. 209-216 - Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling. 217-223 - Chenghu Du, Feng Yu, Yadong Chen, Minghua Jiang, Xiong Wei, Tao Peng, Xinrong Hu:
VTON-HF: High Fidelity Virtual Try-on Network via Semantic Adaptation. 224-231 - Marco Dalla, Andrea Visentin, Barry O'Sullivan:
Automated SAT Problem Feature Extraction using Convolutional Autoencoders. 232-239 - Tuan Nguyen Quoc, Katsumi Inoue, Chiaki Sakama:
Linear Algebraic Computation of Propositional Horn Abduction. 240-247 - Marco Faella, Alberto Finzi, Luigi Sauro:
A practical query selection framework for real-time Bayesian preference elicitation. 248-255 - Steven D. Prestwich:
Unsupervised Constraint Acquisition. 256-262 - Roman Barták, Simona Ondrcková, Gregor Behnke, Pascal Bercher:
On the Verification of Totally-Ordered HTN Plans. 263-267 - Zhilei Peng, Guixing Wu, Fengliang Xia:
Clustering Shift Graph Convolutional Network for Taxi Origin-Destination Demand Prediction. 268-272 - Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu:
Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. 273-278 - Michal Vavrecka, Nikita Sokovnin, Megi Mejdrechova, Gabriela Sejnova:
MyGym: Modular Toolkit for Visuomotor Robotic Tasks. 279-283 - Xiaoyu Wei, Jun Li, Zhigao Zeng:
Multi-step preferred elite-guided firefly algorithm. 284-288 - Jiashi Gao, Xinming Shi, James J. Q. Yu:
Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level. 289-293 - Oscar Fernandez-Ramos, Diego Johnson-Yañez, Willy Ugarte:
Reproducing arm movements based on Pose Estimation with robot programming by demonstration. 294-298 - Dionisios N. Sotiropoulos, George A. Tsihrintzis, Maria Virvou, Evangelia-Aikaterini Tsichrintzi:
Machine Learning in Intangible Cultural Analytics: The Case of Greek Songs' Lyrics. 299-305 - Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Biomarker-based deep learning for personalized nutrition. 306-313 - Rui Yang, Feng Luo, Xiu Li:
Combining Hindsight with Goal-enhanced Prediction for Multi-goal Reinforcement Learning. 314-321 - Sayda Elmi, Karim Benouaret, Kian-Lee Tan:
Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction. 322-329 - Laura Verde, Gennaro Raimo, Federica Vitale, Bruno Carbonaro, Gennaro Cordasco, Stefano Marrone, Anna Esposito:
A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis. 330-335 - Quansen Wang:
Learning From Other Labels: Leveraging Enhanced Mixup and Transfer Learning for Twitter Sentiment Analysis. 336-343 - Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. 344-351 - Hailun Zhan, Zhiming Ding, Mengmeng Chang, Xinhui Liu:
POI Recommend for Deep Neural Network Based on Explicit and Implicit Feature Joint. 352-358 - Peizhen Liu, Wen Yu:
CapsRec: A Capsule Graph Neural Network Model for Social Recommendation. 359-363 - Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage:
Profiling Money Laundering with Neural Networks: a Case Study on Environmental Crime Detection. 364-369 - Mohamed Saadeldin, Brian MacNamee:
An Orthogonal Classification Layer with Kasami Sequences for Discriminative Feature Learning in Neural Networks. 370-375 - Zulong Ma, Jiamin Lu, Jun Feng, Yunfei Zhang, Wei Wu:
Semantic-based Bidirectional Adversarial Neural Topic Model. 376-380 - Dimitrios Melissourgos, Hanzhi Gao, Chaoyi Ma, Shigang Chen, Samuel S. Wu:
On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud. 381-385 - Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu:
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. 386-390 - Nathan Thom, Hung Nguyen, Emily M. Hand:
Consensus Subspace Clustering. 391-395 - Frédéric Lardeux, Éric Monfroy:
Optimized models and symmetry breaking for the NFA inference problem. 396-403 - Matthieu Py, Mohamed Sami Cherif, Djamal Habet:
Computing Max-SAT Refutations using SAT Oracles. 404-411 - Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci:
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. 412-419 - Dan Li, Shuang Liu, Zhengxin Lyu, Weilai Xiang, Wei He, Fengqi Liu, Zhen Zhang:
Use mean field theory to train a 200-layer vanilla GAN. 420-426 - Yang You, Vincent Thomas, Francis Colas, Olivier Buffet:
Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP. 427-434 - Keren Nivasch, Amos Azaria:
A Deep Genetic Method for Keyboard Layout Optimization. 435-441 - Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati:
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. 442-446 - Jan Hula, David Mojzísek, Mikolás Janota:
Graph Neural Networks for Scheduling of SMT Solvers. 447-451 - José S. da Silva Neto, Ticiana L. Coelho da Silva, Lívia Almada Cruz, Vinicius Monteiro de Lira, José Antônio Fernandes de Macêdo, Regis Pires Magalhães, Lucas Gaspar Peres:
Predicting the Next Location for Trajectories From Stolen Vehicles. 452-456 - Ruiyang Wang, Ming Li, Pin Zhang, Fan Wen:
Graph Partition Convolution Neural Network for Pedestrian Trajectory Prediction. 457-462 - Fateh Boulmaiz, Stéphane Ploix, Patrick Reignier:
A data-Driven approach for guiding the occupant's actions to achieve better comfort in buildings. 463-468 - Guillaume Lorthioir, Katsumi Inoue:
A Robust Approach to Noise for Plan Recognition in RTS Games. 469-474 - Pierre Romet, Romain Tabusse, Franck Gechter, El-Hassane Aglzim, Samir Jemei, David Bouquain, Daniela Chrenko:
Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health. 475-480 - Marika Ivanová, Pavel Surynek:
Adversarial Multi-Agent Path Finding is Intractable. 481-486 - Michal Nekvinda, Roman Barták:
Contingent Planning for Robust Multi-Agent Path Finding. 487-492 - Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner:
Novelty detection for unsupervised continual learning in image sequences. 493-500 - Pankaj Khanchandani, Oliver Richter, Lukas Rusch, Roger Wattenhofer:
Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem. 501-505 - Chao Huang, Long Wang, Xiong Luo, Hongcai Zhang, Yonghua Song:
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management. 506-511 - Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia:
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. 512-516 - Zhicheng Tang, Yang Zhang, Yizhen Wang, Yi Shang, Reid Viegut, Elisabeth Webb, Andrew Raedeke, Joel Sartwell:
sUAS and Machine Learning Integration in Waterfowl Population Surveys. 517-521 - Chenggang He, Chris H. Q. Ding, Sibao Chen, Bin Luo:
Intelligent Machine Learning System for Predicting Customer Churn. 522-527 - Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris:
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. 528-535 - Min Zhang, Xiaohan Liu, Chenyu Liu, Xueqi Zhang, Haiyong Xie:
FST-Net: Exploiting Frequency Spatial Temporal Information for Low-Quality Fake Video Detection. 536-543 - Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
A Global Discriminant Joint Training Framework for Robust Speech Recognition. 544-551 - Bo Li, Ling Bai, Yang Wang, Zhe Wu, Tong Lin:
A Supervisory Mask Attentional Network for Person Re-Identification in Uniform Dress Scenes. 552-559 - Athanasios Giannikis, Efthimios Alepis, Maria Virvou:
Crowdsourcing Recognized Image Objects In Mobile Devices Through Machine Learning. 560-567 - Michail S. Alexiou, Nikolaos G. Bourbakis:
An Evaluation of Methods on Detecting, Recognizing and Understanding Graphics Images in Technical Documents. 568-574 - Shouhong Wan, Peiyi Zhang, Peiquan Jin, Pengcheng Ding:
A Part Invariance Network for Cross-Domain Person Re-identification. 575-581 - Amel Hidouri, Saïd Jabbour, Jerry Lonlac, Badran Raddaoui:
A Constraint-based Approach for Enumerating Gradual Itemsets. 582-589 - Zhou Shao, Junyan Liu, Tong Lin:
Stochastic Euler Heavy Ball Method. 590-597 - Mohamed-Bachir Belaid, Nadjib Lazaar:
Constraint Programming for Itemset Mining with Multiple Minimum Supports. 598-603 - Noah Rubin, Curtis Bright, Kevin K. H. Cheung, Brett Stevens:
Improving Integer and Constraint Programming for Graeco-Latin Squares. 604-608 - Dehong Ma, Bo Ding, Dawei Feng, Hui Liu:
EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series. 609-613 - Jan Motl, Pavel Kordík:
Aggregate Function Generalization to Temporal Data. 614-618 - Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang:
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. 619-623 - Liande Bi, Xin Sun, Fei Zhou, Junyu Dong:
Hierarchical Triplet Attention Pooling for Graph Classification. 624-631 - Matthieu Py, Mohamed Sami Cherif, Djamal Habet:
Inferring Clauses and Formulas in Max-SAT. 632-639 - Qi Hong, Zhongyuan Wang, Jianyu Chen, Baojin Huang:
Cross-View Gait Recognition Based on Feature Fusion. 640-646 - April Hua Liu, Xiaoyue Fang:
A Dirichlet Policy Reuse Approach for Financial Markets. 647-654 - Yuanshao Zhu, Christos Markos, James J. Q. Yu:
Improving Transportation Mode Identification with Limited GPS Trajectories. 655-660 - Ashok Raja, Laurent Njilla, Jiawei Yuan:
Blur the Eyes of UAV: Effective Attacks on UAV-based Infrastructure Inspection. 661-665 - Nan Ke, Tong Lin, Zhouchen Lin:
Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. 666-673 - Martin Pilát:
Training Electric Vehicle Charging Controllers with Imitation Learning. 674-681 - Pedro H. A. D. de Melo, Adriano Araújo Martins de Resende, Rodrigo Sanches Miani, Pedro Frosi Rosa:
Evaluation of one-class algorithms for anomaly detection in home networks. 682-689 - Mounir Atiq, Sergio Peignier, Mathilde Mougeot:
Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. 690-697 - Zilan Huang, Luoyi Zhang, Yi Zhang, Shuwei Qian, Chong-Jun Wang:
Transformer based Multi-output Regression Learning for Wastewater Treatment. 698-703 - Armin Sadreddin, Samira Sadaoui:
Incremental Feature Learning Using Constructive Neural Networks. 704-708 - Yang Li, Xiangfeng Luo, Shaorong Xie:
Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning. 709-713 - Chin-Wing Leung, Shuyue Hu, Ho-fung Leung:
Formal Modeling of Reinforcement Learning with Many Agents through Repeated Local Interactions. 714-718 - Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi, Shen-Shyang Ho, Jonathan Moore, Logan Borys, Lucas Lavalva:
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds. 719-723 - Yu Luo, Weifeng Xu, Dianxiang Xu:
Detecting Integer Overflow Errors in Java Source Code via Machine Learning. 724-728 - Haojie Guo, Zhe Guo, Zhaojun Pan, Xuewen Liu:
Bilateral Res-Unet for Image Colorization with Limited Data via GANs. 729-735 - Weiqiang Jin, Hang Yu, Xiangfeng Luo:
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. 736-744 - Rui Wang, Jun Feng, Qirong Bu:
Fashion Landmark Detection via Deep Residual Spatial Attention Network. 745-752 - Yuzhen Zhang, Guanqun Liu, Yanyan Zhao, Daren Zha, Xin Wang, Lin Zhao, Lei Wang:
FRAGAN-VSR: Frame-Recurrent Attention Generative Adversarial Network for Video Super-Resolution. 753-757 - Kehao Wang, Ruiqi Ren, Chenglin Li:
Multi-task Scale Adaptive Ladder Network for Crowd Counting. 758-762 - Xiaomao Zhou, Wei Wang, Bing Du:
PSG-GAN: Progressive Person Image Generation with Self-Guided Local Focuses. 763-769 - Weiqing Huang, Miao Jiang, Min Li, Bo Meng, Junxing Ren, Shixian Zhao, Ruwen Bai, Yang Yang:
Causal Intervention for Object Detection. 770-774 - Dogan C. Cicek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat:
AWD3: Dynamic Reduction of the Estimation Bias. 775-779 - Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy:
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. 780-785 - Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer:
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. 786-790 - Leila Amgoud:
Explaining Black-box Classification Models with Arguments. 791-795 - Hiba Hajri, Jean-Philippe Poli, Laurence Boudet:
Towards Monotonous Functions Approximation from Few Data With Gradual Generalized Modus Ponens: Application to Materials Science. 796-800 - Jan Wehner, Michael Sioutis, Diedrich Wolter:
On Robust Vs Fast Solving of Qualitative Constraints. 801-805 - Yo Ehara:
LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners. 806-814 - Nathalie Chetcuti-Sperandio, Alix Goudyme, Sylvain Lagrue, Tiago de Lima:
Checking Agent Intentions in Games. 815-822 - Leopoldo Melo Junior, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Chiara Renso:
RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. 823-830 - Jing Wang, Gangdu Liu, Jun Wu, Caiyan Jia, Zhifei Zhang:
Self-supervised Variational Autoencoder for Recommender Systems. 831-835