Results 11 to 20 of about 850,549 (316)
BoT-SORT: Robust Associations Multi-Pedestrian Tracking [PDF]
arXiv.org, 2022 The goal of multi-object tracking (MOT) is detecting and tracking all the objects in a scene, while keeping a unique identifier for each object. In this paper, we present a new robust state-of-the-art tracker, which can combine the advantages of motion ...
Nir Aharon, Roy Orfaig, B. Bobrovsky
semanticscholar +1 more source
Towards Human-Bot Collaborative Software Architecting with ChatGPT [PDF]
International Conference on Evaluation & Assessment in Software Engineering, 2023 Architecting software-intensive systems can be a complex process. It deals with the daunting tasks of unifying stakeholders’ perspectives, designers’ intellect, tool-based automation, pattern-driven reuse, and so on, to sketch a blueprint that guides ...
Aakash Ahmad +5 more
semanticscholar +1 more source
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics [PDF]
IEEE Robotics and Automation Letters, 2022 We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot enables a robot to rearrange objects in a scene, by first inferring a text description of those objects, then generating an image representing a natural, human ...
Ivan Kapelyukh +2 more
semanticscholar +1 more source
TwiBot-22: Towards Graph-Based Twitter Bot Detection [PDF]
Neural Information Processing Systems, 2022 Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse.
Shangbin Feng +21 more
semanticscholar +1 more source
Botometer 101: social bot practicum for computational social scientists [PDF]
Journal of Computational Social Science, 2022 Social bots have become an important component of online social media. Deceptive bots, in particular, can manipulate online discussions of important issues ranging from elections to public health, threatening the constructive exchange of information ...
Kai-Cheng Yang +2 more
semanticscholar +1 more source
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Twitter bot detection has become a crucial task in efforts to combat online misinformation, mitigate election interference, and curb malicious propaganda.
Yuhan Liu +5 more
semanticscholar +1 more source
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark [PDF]
International Conference on Information and Knowledge Management, 2021 Twitter has become a vital social media platform while an ample amount of malicious Twitter bots exist and induce undesirable social effects. Successful Twitter bot detection proposals are generally supervised, which rely heavily on large-scale datasets.
Shangbin Feng +4 more
semanticscholar +1 more source
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset [PDF]
Future generations computer systems, 2018 The proliferation of IoT systems, has seen them targeted by malicious third parties. To address this, realistic protection and investigation countermeasures need to be developed.
Nickolaos Koroniotis +3 more
semanticscholar +1 more source
Blame the Bot: Anthropomorphism and Anger in Customer–Chatbot Interactions
Journal of Marketing, 2021 Chatbots have become common in digital customer service contexts across many industries. While many companies choose to humanize their customer service chatbots (e.g., giving them names and avatars), little is known about how anthropomorphism influences ...
Cammy Crolic +3 more
semanticscholar +1 more source
To chat or bot to chat: Ethical issues with using chatbots in mental health
Digital Health, 2023 This paper presents a critical review of key ethical issues raised by the emergence of mental health chatbots. Chatbots use varying degrees of artificial intelligence and are increasingly deployed in many different domains including mental health.
S. Coghlan +5 more
semanticscholar +1 more source