LongPapers_AI2022

LongPapers_AI2022

Tag

Created May 17, 2022

Learning NAT-Modeled Bayesian Network Structures with Bayesian Approach

by Yang Xiang and Wanrong Sun

Published: May 27, 2022

Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model

by Mansour Alqarni and Akramul Azim

Published: May 27, 2022

Detecting Flashover in a Room Fire based on the Sequence of Thermal Infrared Images using Convolutional Neural Networks

by M. Hamed Mozaffari, Yuchuan Li, and Yoon Ko

Published: May 27, 2022

Using Change Detection to Adapt to Dynamically Changing Trustees

by Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, and Sandra Zilles

Published: May 27, 2022

Balancing Information with Observation Costs in Deep Reinforcement Learning

by Colin Bellinger, Andriy Drozdyuk, Mark Crowley, and Isaac Tamblyn

Published: May 27, 2022

Stacked Bidirectional LSTM for Predicting Emission of Nitrous Oxide

by Ci Lin, Tet Yeap, and Iluju Kiringa

Published: May 27, 2022

A Hoeffding Decision Tree Based Approach for Soil Classification

by Dakota Soares, M. Ali Akber Dewan, and Fuhua Lin

Published: May 27, 2022

Sample Efficiency in Deep Reinforcement Learning based Recommender Systems with Imitation Learning

by Mohammad Mehdi Afsar, Trafford Crump, and Behrouz Far

Published: May 27, 2022

Bridging Reality Gap Between Virtual and Physical Robot through Domain Randomization and Induced Noise

by Mahesh Ranaweera and Qusay Mahmoud

Published: May 27, 2022

NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks

by Ali Abbasi Tadi, Luis Rueda, and Dima Alhadidi

Published: May 27, 2022

Efficiency of Algorithmic Policing Tools: a nod to C.N. Parkinson

by Margaret H. McKay and Rene Richard

Published: May 27, 2022

Group and Exclusive Sparse Regularization-based Continual Learning of CNNs

by Basile Tousside, Janis Mohr, and Jörg Frochte

Published: May 27, 2022

Complexity Analysis of Green Pickup-and-Delivery Problems on Ring Structures

by Xing Tan, Jimmy Huang, and Kai Huang

Published: May 27, 2022

Cache-Efficient Memory Representation of Markov Decision Processes

by Jaël Champagne Gareau, Éric Beaudry, and Vladimir Makarenkov

Published: May 27, 2022

An empirical study of scoring functions for learning Bayesian networks in model averaging

by Zhenyu Liao, Charupriya Sharma, Dongshu Luo, and Peter van Beek

Published: May 27, 2022

On identifying significant edges for structure learning in Bayesian networks

by Zhenyu Liao, Junyao Duan, and Peter van Beek

Published: May 27, 2022

Deep Learning of Latent Edge Types from Relational Data

by Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, and Parmis Naddaf

Published: May 27, 2022

Forecasting and Understanding the 2021 Canadian Federal Election Using Twitter Conversations

by Shainen Davidson, Vaibhav Kesarwani, and Kenton White

Published: May 27, 2022

Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition

by Vahid Reza Khazaie, Nicky Bayat, and Yalda Mohsenzadeh

Published: May 27, 2022

Binary Classification with Minimum Observations

by Shamir Khandaker and Aminul Islam

Published: May 27, 2022

AI Transparency in a Real-World Context: What we can learn from past examples of algorithmic and statistical decision-making

by Margaret H McKay

Published: May 27, 2022

Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification

by Dogan Altan, Mohammad Etemad, Dusica Marijan, and Tetyana Kholodna

Published: May 27, 2022

Evaluating Explanation Correctness in Legal Decision Making

by Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, and Xiaodan Zhu

Published: May 27, 2022

Contextual Query Expansion for Conducting Technology-Assisted Biomedical Reviews

by Ayesha Khader, Hamid Sajjadi, and Faezeh Ensan

Published: May 27, 2022

Computational Models of Linguistic Alignment for Clustering Group Participants and Predicting Task Outcomes

by Duncan Clelland and Gabriel Murray

Published: May 27, 2022

Preictal-Interictal Classification for Seizure Prediction

by Zakary Georgis-Yap, Milos R. Popovic, and Shehroz S. Khan

Published: May 27, 2022

A Clustering-based Approach for Predicting the Future Location of a Vessel

by Md Mahbub Alam and Luis Torgo

Published: May 27, 2022

Software requirement specific entity extraction using transformer models

by Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, and Ayse Basar

Published: May 27, 2022

Heterogeneous Patient Graph Embedding in Readmission Prediction

by Hirad Daneshvar and Reza Samavi

Published: May 27, 2022

DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection

by Salma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag, and Paula Branco

Published: May 27, 2022

An empirical study on probabilistic forecasting for predicting city-wide electricity consumption

by Syed Rafayal, Mucahit Cevik, and Derya Kici

Published: May 27, 2022

Adaptive Confidence Calibration

by Jonathan Pearce and David Meger

Published: May 27, 2022

A working model for textual Membership Query Synthesis

by Frédéric Piedboeuf and Philippe Langlais

Published: May 27, 2022

“FIJO”: a French Insurance Soft Skill Detection Dataset

by David Beauchemin, Julien Laumonier, Yvan Le Ster, and Marouane Yassine

Published: May 27, 2022

A Modularized Framework for Explaining Black Box Classifiers for Text Data

by Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amilcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, and Stan Matwin

Published: May 27, 2022

Quantifying French Document Complexity

by Vincent Primpied, David Beauchemin, and Richard Khoury

Published: May 27, 2022