Haytham Assem

According to our database, Haytham Assem authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding.

Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification.

Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Intent Classification by the Use of Automatically Generated Knowledge Graphs.

Mihael Arcan, Sampritha H. Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae, Paul Buitelaar

Inf., May, 2023

Attending to Entity Class Attributes for Named Entity Recognition with Few-Shot Learning.

Raj Nath Patel, Sourav Dutta, Haytham Assem

Proceedings of the Intelligent Systems and Applications, 2023

2022

Self-distilled Pruning of Deep Neural Networks.

James O'Neill, Sourav Dutta, Haytham Assem

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Cage: A Hybrid Framework for Closed-Domain Conversational Agents.

Edward Burgin, Sourav Dutta, Haytham Assem, Raj Nath Patel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation.

Rajdeep Sarkar, Sourav Dutta, Haytham Assem, Mihael Arcan, John P. McCrae

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Enhanced Sentence Meta-Embeddings for Textual Understanding.

Sourav Dutta, Haytham Assem

Proceedings of the Advances in Information Retrieval, 2022

Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment.

Silviu Vlad Oprea, Sourav Dutta, Haytham Assem

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Aligned Weight Regularizers for Pruning Pretrained Neural Networks.

James O'Neill, Sourav Dutta, Haytham Assem

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Deep Neural Compression Via Concurrent Pruning and Self-Distillation.

James O'Neill, Sourav Dutta, Haytham Assem

CoRR, 2021

Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval.

Sourav Dutta, Haytham Assem, Edward Burgin

CoRR, 2021

DTAFA: Decoupled Training Architecture for Efficient FAQ Retrieval.

Haytham Assem, Sourav Dutta, Edward Burgin

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Cross-lingual Sentence Embedding using Multi-Task Learning.

Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen, John P. McCrae

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders.

Raj Nath Patel, Edward Burgin, Haytham Assem, Sourav Dutta

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework.

Koustava Goswami, Sourav Dutta, Haytham Assem

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Qasar: Self-Supervised Learning Framework for Extractive Question Answering.

Haytham Assem, Rajdeep Sarkar, Sourav Dutta

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Unsupervised Word Translation Pairing using Refinement based Point Set Registration.

Silviu Oprea, Sourav Dutta, Haytham Assem

CoRR, 2020

Classification of Cybercrime Indicators in Open Social Data.

Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden

Proceedings of the Information Management and Big Data, 2020

2019

A Cloud-Based AI Framework for Machine Learning Orchestration: A "Driving or Not-Driving" Case-Study for Self-Driving Cars.

Cristian Olariu, Haytham Assem, Juan Diego Ortega, Marcos Nieto

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction.

Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection.

Teodora Sandra Buda, Bora Caglayan, Haytham Assem

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things.

Shane Brady, Damien Magoni, John Murphy, Haytham Assem, A. Omar Portillo-Dominguez

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks.

Marius Corici, Teodora Sandra Buda, Ranjan Shrestha, Eleonora Cau, Taner Metin, Haytham Assem

Proceedings of the 2018 IEEE Conference on Standards for Communications and Networking, 2018

SCCD: Social Capital-Driven Career Development Framework.

Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation.

Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data.

Haytham Assem, Teodora Sandra Buda, Declan O'Sullivan

ACM Trans. Intell. Syst. Technol., 2017

Urban Water Flow and Water Level Prediction Based on Deep Learning.

Haytham Assem, Salem Gharbia, Gabor Makrai, Paul Johnston, Laurence W. Gill, Francesco Pilla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

ADE: An ensemble approach for early Anomaly Detection.

Teodora Sandra Buda, Haytham Assem, Lei Xu

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

2016

Machine learning as a service for enabling Internet of Things and People.

Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan

Pers. Ubiquitous Comput., 2016

Can machine learning aid in delivering new use cases and scenarios in 5G?

Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. López, Marius Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Ángel Martín, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Machine Learning for Autonomic Network Management in a Connected Cars Scenario.

Gorka Vélez, Marco Quartulli, Ángel Martín, Oihana Otaegui, Haytham Assem

Proceedings of the Communication Technologies for Vehicles - 10th International Workshop, 2016

Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities.

Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Discovering New Socio-demographic Regional Patterns in Cities.

Haytham Assem, Declan O'Sullivan

Proceedings of the 9th ACM SIGSPATIAL Workshop on Location-based Social Networks, 2016

CogNet: A network management architecture featuring cognitive capabilities.

Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Ángel Martín, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda, Mikhail I. Smirnov, Danny Raz, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Marius Iulian Corici, Pat O'Sullivan, Robert Mullins

Proceedings of the European Conference on Networks and Communications, 2016

2015

Towards Bridging the Gap between Machine Learning Researchers and Practitioners.

Haytham Assem, Declan O'Sullivan

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2013

A generic algorithm for mid-call audio codec switching.

Haytham Assem, Mohamed Adel, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan

Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

Monitoring VoIP call quality using improved simplified E-model.

Haytham Assem, David Malone, Jonathan Dunne, Pat O'Sullivan

Proceedings of the International Conference on Computing, Networking and Communications, 2013

A new adaptive redundancy control algorithm for VoIP applications.

Haytham Assem, David Malone, Jonathan Dunne, Pat O'Sullivan

Proceedings of the 2013 IEEE Global Communications Conference, 2013

Improved E-model for monitoring quality of multi-party VoIP communications.

Mohamed Adel, Haytham Assem, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan

Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013