4th International Conference on AI, Machine Learning and Applications (AIMLA 2024)

Venue : Copenhagen, Denmark

January 27 ~ 28, 2024
Program Schedule
January 27, 2024
Session 1:
9:00 - 9:30 AM Improving Salience-Based Multi-Document Summarization Performance using a Hybrid Sentence Similarity Measure
Kamal Sarkar (Jadavpur University, India) and Sohini Roy Chowdhury (RCC Institute Of Information Technology, India)
9:30 – 10:00 AM Unmasking Honey Adulteration: A Breakthrough in Quality Assurance through Cutting-Edge Convolutional Neural Network Analysis of Thermal Images
Ilias Boulbarj & Douzi Hassan (Ibn Zohr University's -Agadir, Morocco) Bouklouze Abdelaziz, Yousra El Alami & Douzi Samiraand (Mohammed V University in Rabat, Morocco)
10:00 – 10:30 AM Prior-Information Enhanced Reinforcement Learning for Energy Management Systems
Theo Zangato, Aomar Osmani and Pegah Alizadeh (Universite Paris Sorbonne Nord, France)
10:30 – 11:00 AM An Energy-Based Comparative Analysis of Common Approaches to Text Classification in the Legal Domain
Sinan Gultekin, Achille Globo, Andrea Zugarini, Marco Ernandes and Leonardo Rigutini (expert.ai, Italy)
11:00 – 11:30 AM ------------------------ Tea Break -------------------------
11:30 – 12:00 PM Neuralsentinel: Safeguarding Neural Network Reliability and Trustworthiness
Xabier Echeberria-Barrio, Mikel Gorricho, Selene Valencia and Francesco Zola (Basque Research and Technology Alliance (BRTA), Spain)
12:00 – 12:30 PM Unsupervised Anomaly Detection
Suliman Alnutefy and Ali Alsuwayh (Marymount University, United States)
12:30 – 01:00 PM A Novel Machine Learning-Based Heart Murmur Detection and Classification using Sound Feature Analysis
Ram Sivaraman (Liberal Arts and Science Academy, USA,) and Joe Xiao (Optum/United Health Care, USA)
1:00 – 2:00 PM ------------------------ Lunch Break -------------------------
2:00 – 2:30 PM Using Latent Dirichlet Allocation to Explore the Dimensionality of the U.S. Practice of Law
Patrick H. Gaughan, En Cheng, Taylor C. Burgess and Aine C. Bolton (University of Akron, USA)
2:30 – 3:00 PM CovBERT: Enhancing Sentiment Analysis Accuracy in COVID-19 X Data through Customized BERT
Vanshaj Gupta, Jaydeep Patel, Safa Shubbar and Kambiz Ghazinour ( Kent State University, USA)
3:00 – 3:30 PM Reviewing Fid and Sid Metrics on Generative Adversarial Networks
Ricardo de Deijn, Aishwarya Batra, Brandon Koch, Naseef Mansoor and Hema Makkena (Minnesota State University, United States of America)
3:30 – 4:00 PM Building a Robust Federated Learning based Intrusion Detection System in Internet of Things
Afrooz Rahmati, Afra Mashhadi, and Geethapriya Thamilarasu (University of Washington Bothell, USA)
4:00 – 4:30 PM Integrative Sentiment Analysis: Leveraging Audio, Visual, and Textual Data
Jason S. Chu (Cupertino, USA) and Sindhu Ghanta( AIClub, USA)
4:30 – 5:00 PM Data Management for Trading, Risk and Regulatory Compliance in Investment Banking
Hemendra Vyas (New York University, New York)
5:00 – 5:30 PM An Improved mT5 Model for Chinese Text Summary Generation
Fuping Ren (Shenzhen Comtech Technology Co. Ltd, China), Jian Chen and Defu Zhang (Xiamen University, China)
----------------------- To be Continued --------------